id	sid	tid	token	lemma	pos
cana-4447	1	1	communications	communication	NOUN
cana-4447	1	2	on	on	ADP
cana-4447	1	3	applied	apply	VERB
cana-4447	1	4	nonlinear	nonlinear	ADJ
cana-4447	1	5	analysis	analysis	NOUN
cana-4447	1	6	issn	issn	NOUN
cana-4447	1	7	:	:	PUNCT
cana-4447	1	8	1074	1074	NUM
cana-4447	1	9	-	-	PUNCT
cana-4447	1	10	133x	133x	NUM
cana-4447	1	11	vol	vol	NOUN
cana-4447	1	12	32	32	NUM
cana-4447	1	13	no	no	NOUN
cana-4447	1	14	.	.	PUNCT
cana-4447	2	1	9s	9s	NUM
cana-4447	2	2	(	(	PUNCT
cana-4447	2	3	2025	2025	NUM
cana-4447	2	4	)	)	PUNCT
cana-4447	2	5	2050	2050	NUM
cana-4447	2	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-4447	3	1	the	the	DET
cana-4447	3	2	novelhap	novelhap	ADJ
cana-4447	3	3	algorithm	algorithm	NOUN
cana-4447	3	4	for	for	ADP
cana-4447	3	5	human	human	ADJ
cana-4447	3	6	crime	crime	NOUN
cana-4447	3	7	activity	activity	NOUN
cana-4447	3	8	prediction	prediction	NOUN
cana-4447	3	9	in	in	ADP
cana-4447	3	10	video	video	NOUN
cana-4447	3	11	frames	frame	NOUN
cana-4447	3	12	using	use	VERB
cana-4447	3	13	kalman	kalman	NOUN
cana-4447	3	14	filter	filter	NOUN
cana-4447	3	15	and	and	CCONJ
cana-4447	3	16	template	template	NOUN
cana-4447	3	17	matching	match	VERB
cana-4447	3	18	y.	y.	PROPN
cana-4447	3	19	v.	v.	PROPN
cana-4447	3	20	k.	k.	PROPN
cana-4447	3	21	durga	durga	PROPN
cana-4447	3	22	bhavani	bhavani	PROPN
cana-4447	3	23	1	1	NUM
cana-4447	3	24	*	*	PROPN
cana-4447	3	25	,	,	PUNCT
cana-4447	3	26	v.	v.	PROPN
cana-4447	3	27	b.	b.	PROPN
cana-4447	3	28	pagi	pagi	PROPN
cana-4447	3	29	2	2	PROPN
cana-4447	3	30	1department	1department	NUM
cana-4447	3	31	of	of	ADP
cana-4447	3	32	cse	cse	PROPN
cana-4447	3	33	,	,	PUNCT
cana-4447	3	34	basaveshwar	basaveshwar	ADJ
cana-4447	3	35	engineering	engineering	PROPN
cana-4447	3	36	college	college	PROPN
cana-4447	3	37	research	research	NOUN
cana-4447	3	38	center	center	NOUN
cana-4447	3	39	,	,	PUNCT
cana-4447	3	40	bagalkote	bagalkote	VERB
cana-4447	3	41	,	,	PUNCT
cana-4447	3	42	affiliated	affiliate	VERB
cana-4447	3	43	to	to	AUX
cana-4447	3	44	visvesvaraya	visvesvaraya	VERB
cana-4447	3	45	technological	technological	ADJ
cana-4447	3	46	university	university	NOUN
cana-4447	3	47	,	,	PUNCT
cana-4447	3	48	belagavi-590	belagavi-590	VERB
cana-4447	3	49	018	018	NOUN
cana-4447	3	50	,	,	PUNCT
cana-4447	3	51	karnataka	karnataka	PROPN
cana-4447	3	52	,	,	PUNCT
cana-4447	3	53	india	india	PROPN
cana-4447	3	54	*	*	PUNCT
cana-4447	3	55	corresponding	correspond	VERB
cana-4447	3	56	author	author	NOUN
cana-4447	3	57	email	email	NOUN
cana-4447	3	58	:	:	PUNCT
cana-4447	3	59	bhavanivani35@gmail.com	bhavanivani35@gmail.com	X
cana-4447	3	60	-orcid:0000	-orcid:0000	NUM
cana-4447	3	61	-	-	PUNCT
cana-4447	3	62	0003	0003	NUM
cana-4447	3	63	-	-	PUNCT
cana-4447	3	64	2435	2435	NUM
cana-4447	3	65	-	-	SYM
cana-4447	3	66	1094	1094	NUM
cana-4447	3	67	2department	2department	NUM
cana-4447	3	68	of	of	ADP
cana-4447	3	69	cse	cse	PROPN
cana-4447	3	70	,	,	PUNCT
cana-4447	3	71	basaveshwar	basaveshwar	ADJ
cana-4447	3	72	engineering	engineering	PROPN
cana-4447	3	73	college	college	PROPN
cana-4447	3	74	research	research	NOUN
cana-4447	3	75	center	center	NOUN
cana-4447	3	76	,	,	PUNCT
cana-4447	3	77	bagalkote	bagalkote	VERB
cana-4447	3	78	,	,	PUNCT
cana-4447	3	79	affiliated	affiliate	VERB
cana-4447	3	80	to	to	AUX
cana-4447	3	81	visvesvaraya	visvesvaraya	VERB
cana-4447	3	82	technological	technological	ADJ
cana-4447	3	83	university	university	NOUN
cana-4447	3	84	,	,	PUNCT
cana-4447	3	85	belagavi	belagavi	VERB
cana-4447	3	86	–	–	PUNCT
cana-4447	3	87	590	590	NUM
cana-4447	3	88	018	018	NOUN
cana-4447	3	89	,	,	PUNCT
cana-4447	3	90	karnataka	karnataka	PROPN
cana-4447	3	91	,	,	PUNCT
cana-4447	3	92	india	india	PROPN
cana-4447	3	93	email	email	NOUN
cana-4447	3	94	:	:	PUNCT
cana-4447	4	1	veereshpagi@gmail.com	veereshpagi@gmail.com	X
cana-4447	4	2	orcid	orcid	NOUN
cana-4447	4	3	:	:	PUNCT
cana-4447	4	4	0000	0000	NUM
cana-4447	4	5	-	-	PUNCT
cana-4447	4	6	0001	0001	NUM
cana-4447	4	7	-	-	PUNCT
cana-4447	4	8	9555	9555	NUM
cana-4447	4	9	-	-	PUNCT
cana-4447	4	10	0707	0707	NUM
cana-4447	4	11	article	article	NOUN
cana-4447	4	12	history	history	NOUN
cana-4447	4	13	:	:	PUNCT
cana-4447	4	14	received	receive	VERB
cana-4447	4	15	:	:	PUNCT
cana-4447	4	16	12	12	NUM
cana-4447	4	17	-	-	SYM
cana-4447	4	18	01	01	NUM
cana-4447	4	19	-	-	PUNCT
cana-4447	4	20	2025	2025	NUM
cana-4447	4	21	revised	revise	VERB
cana-4447	4	22	:	:	PUNCT
cana-4447	4	23	15	15	NUM
cana-4447	4	24	-	-	NUM
cana-4447	4	25	02	02	NUM
cana-4447	4	26	-	-	PUNCT
cana-4447	4	27	2025	2025	NUM
cana-4447	4	28	accepted	accept	VERB
cana-4447	4	29	:	:	PUNCT
cana-4447	4	30	01	01	NUM
cana-4447	4	31	-	-	SYM
cana-4447	4	32	03	03	NUM
cana-4447	4	33	-	-	PUNCT
cana-4447	4	34	2025	2025	NUM
cana-4447	4	35	abstract	abstract	NOUN
cana-4447	4	36	:	:	PUNCT
cana-4447	4	37	human	human	ADJ
cana-4447	4	38	activity	activity	NOUN
cana-4447	4	39	prediction	prediction	NOUN
cana-4447	4	40	(	(	PUNCT
cana-4447	4	41	hap	hap	NOUN
cana-4447	4	42	)	)	PUNCT
cana-4447	4	43	interprets	interpret	VERB
cana-4447	4	44	human	human	ADJ
cana-4447	4	45	motion	motion	NOUN
cana-4447	4	46	and	and	CCONJ
cana-4447	4	47	future	future	ADJ
cana-4447	4	48	activity	activity	NOUN
cana-4447	4	49	.	.	PUNCT
cana-4447	5	1	surveillance	surveillance	NOUN
cana-4447	5	2	systems	system	NOUN
cana-4447	5	3	must	must	AUX
cana-4447	5	4	use	use	VERB
cana-4447	5	5	hap	hap	NOUN
cana-4447	5	6	techniques	technique	NOUN
cana-4447	5	7	to	to	PART
cana-4447	5	8	deter	deter	VERB
cana-4447	5	9	crimes	crime	NOUN
cana-4447	5	10	and	and	CCONJ
cana-4447	5	11	dangerous	dangerous	ADJ
cana-4447	5	12	behavior	behavior	NOUN
cana-4447	5	13	.	.	PUNCT
cana-4447	6	1	the	the	DET
cana-4447	6	2	primary	primary	ADJ
cana-4447	6	3	objective	objective	NOUN
cana-4447	6	4	of	of	ADP
cana-4447	6	5	this	this	DET
cana-4447	6	6	study	study	NOUN
cana-4447	6	7	is	be	AUX
cana-4447	6	8	to	to	PART
cana-4447	6	9	forecast	forecast	VERB
cana-4447	6	10	human	human	ADJ
cana-4447	6	11	criminal	criminal	ADJ
cana-4447	6	12	acts	act	NOUN
cana-4447	6	13	in	in	ADP
cana-4447	6	14	video	video	NOUN
cana-4447	6	15	frames	frame	NOUN
cana-4447	6	16	,	,	PUNCT
cana-4447	6	17	encompassing	encompass	VERB
cana-4447	6	18	shooting	shooting	NOUN
cana-4447	6	19	,	,	PUNCT
cana-4447	6	20	fighting	fighting	NOUN
cana-4447	6	21	,	,	PUNCT
cana-4447	6	22	and	and	CCONJ
cana-4447	6	23	kicking	kicking	NOUN
cana-4447	6	24	.	.	PUNCT
cana-4447	7	1	this	this	DET
cana-4447	7	2	study	study	NOUN
cana-4447	7	3	introduces	introduce	VERB
cana-4447	7	4	the	the	DET
cana-4447	7	5	novelhap	novelhap	ADJ
cana-4447	7	6	algorithm	algorithm	NOUN
cana-4447	7	7	,	,	PUNCT
cana-4447	7	8	built	build	VERB
cana-4447	7	9	upon	upon	SCONJ
cana-4447	7	10	the	the	DET
cana-4447	7	11	kalman	kalman	NOUN
cana-4447	7	12	filter	filter	NOUN
cana-4447	7	13	algorithm	algorithm	PROPN
cana-4447	7	14	(	(	PUNCT
cana-4447	7	15	kfa	kfa	PROPN
cana-4447	7	16	)	)	PUNCT
cana-4447	7	17	,	,	PUNCT
cana-4447	7	18	mediapipe	mediapipe	NOUN
cana-4447	7	19	(	(	PUNCT
cana-4447	7	20	mpp	mpp	NOUN
cana-4447	7	21	)	)	PUNCT
cana-4447	7	22	framework	framework	NOUN
cana-4447	7	23	,	,	PUNCT
cana-4447	7	24	and	and	CCONJ
cana-4447	7	25	template	template	NOUN
cana-4447	7	26	-	-	PUNCT
cana-4447	7	27	matching	match	VERB
cana-4447	7	28	statistical	statistical	ADJ
cana-4447	7	29	approaches	approach	NOUN
cana-4447	7	30	(	(	PUNCT
cana-4447	7	31	tmsa	tmsa	NOUN
cana-4447	7	32	)	)	PUNCT
cana-4447	7	33	.	.	PUNCT
cana-4447	8	1	kfa	kfa	PROPN
cana-4447	8	2	is	be	AUX
cana-4447	8	3	used	use	VERB
cana-4447	8	4	to	to	PART
cana-4447	8	5	predict	predict	VERB
cana-4447	8	6	a	a	DET
cana-4447	8	7	video	video	NOUN
cana-4447	8	8	frame	frame	NOUN
cana-4447	8	9	that	that	PRON
cana-4447	8	10	contains	contain	VERB
cana-4447	8	11	a	a	DET
cana-4447	8	12	very	very	ADV
cana-4447	8	13	near	near	ADP
cana-4447	8	14	state	state	NOUN
cana-4447	8	15	(	(	PUNCT
cana-4447	8	16	or	or	CCONJ
cana-4447	8	17	position	position	NOUN
cana-4447	8	18	)	)	PUNCT
cana-4447	8	19	of	of	ADP
cana-4447	8	20	one	one	NUM
cana-4447	8	21	human	human	ADJ
cana-4447	8	22	bounding	bounding	NOUN
cana-4447	8	23	box	box	NOUN
cana-4447	8	24	(	(	PUNCT
cana-4447	8	25	bb	bb	NOUN
cana-4447	8	26	)	)	PUNCT
cana-4447	8	27	and	and	CCONJ
cana-4447	8	28	its	its	PRON
cana-4447	8	29	centroid	centroid	NOUN
cana-4447	8	30	position	position	NOUN
cana-4447	8	31	compared	compare	VERB
cana-4447	8	32	to	to	ADP
cana-4447	8	33	another	another	PRON
cana-4447	8	34	in	in	ADP
cana-4447	8	35	the	the	DET
cana-4447	8	36	video	video	NOUN
cana-4447	8	37	frames	frame	NOUN
cana-4447	8	38	.	.	PUNCT
cana-4447	9	1	when	when	SCONJ
cana-4447	9	2	the	the	DET
cana-4447	9	3	two	two	NUM
cana-4447	9	4	humans	human	NOUN
cana-4447	9	5	are	be	AUX
cana-4447	9	6	very	very	ADV
cana-4447	9	7	close	close	ADJ
cana-4447	9	8	to	to	ADP
cana-4447	9	9	each	each	DET
cana-4447	9	10	other	other	ADJ
cana-4447	9	11	,	,	PUNCT
cana-4447	9	12	the	the	DET
cana-4447	9	13	activity	activity	NOUN
cana-4447	9	14	of	of	ADP
cana-4447	9	15	the	the	DET
cana-4447	9	16	human	human	NOUN
cana-4447	9	17	can	can	AUX
cana-4447	9	18	be	be	AUX
cana-4447	9	19	predicted	predict	VERB
cana-4447	9	20	.	.	PUNCT
cana-4447	10	1	the	the	DET
cana-4447	10	2	predicted	predict	VERB
cana-4447	10	3	frames	frame	NOUN
cana-4447	10	4	have	have	AUX
cana-4447	10	5	been	be	AUX
cana-4447	10	6	considered	consider	VERB
cana-4447	10	7	as	as	ADP
cana-4447	10	8	input	input	NOUN
cana-4447	10	9	to	to	ADP
cana-4447	10	10	the	the	DET
cana-4447	10	11	mpp	mpp	NOUN
cana-4447	10	12	framework	framework	NOUN
cana-4447	10	13	to	to	PART
cana-4447	10	14	find	find	VERB
cana-4447	10	15	the	the	DET
cana-4447	10	16	landmarks	landmark	NOUN
cana-4447	10	17	and	and	CCONJ
cana-4447	10	18	posture	posture	NOUN
cana-4447	10	19	of	of	ADP
cana-4447	10	20	the	the	DET
cana-4447	10	21	human	human	NOUN
cana-4447	10	22	.	.	PUNCT
cana-4447	11	1	this	this	DET
cana-4447	11	2	study	study	NOUN
cana-4447	11	3	uses	use	VERB
cana-4447	11	4	the	the	DET
cana-4447	11	5	values	value	NOUN
cana-4447	11	6	of	of	ADP
cana-4447	11	7	key	key	ADJ
cana-4447	11	8	landmarks	landmark	NOUN
cana-4447	11	9	left_wrist	left_wrist	VERB
cana-4447	11	10	,	,	PUNCT
cana-4447	11	11	right_wrist	right_wrist	NOUN
cana-4447	11	12	,	,	PUNCT
cana-4447	11	13	left_hip	left_hip	NOUN
cana-4447	11	14	,	,	PUNCT
cana-4447	11	15	right_hip	right_hip	NOUN
cana-4447	11	16	,	,	PUNCT
cana-4447	11	17	left_ankle	left_ankle	PRON
cana-4447	11	18	,	,	PUNCT
cana-4447	11	19	and	and	CCONJ
cana-4447	11	20	right_ankle	right_ankle	NOUN
cana-4447	11	21	of	of	ADP
cana-4447	11	22	human	human	ADJ
cana-4447	11	23	postures	posture	NOUN
cana-4447	11	24	in	in	ADP
cana-4447	11	25	video	video	NOUN
cana-4447	11	26	frames	frame	NOUN
cana-4447	11	27	.	.	PUNCT
cana-4447	12	1	the	the	DET
cana-4447	12	2	euclidean	euclidean	ADJ
cana-4447	12	3	distances	distance	NOUN
cana-4447	12	4	from	from	ADP
cana-4447	12	5	d1	d1	PROPN
cana-4447	12	6	to	to	ADP
cana-4447	12	7	d10	d10	PROPN
cana-4447	12	8	among	among	ADP
cana-4447	12	9	the	the	DET
cana-4447	12	10	landmark	landmark	NOUN
cana-4447	12	11	vectors	vector	NOUN
cana-4447	12	12	of	of	ADP
cana-4447	12	13	video	video	NOUN
cana-4447	12	14	frame	frame	NOUN
cana-4447	12	15	postures	posture	NOUN
cana-4447	12	16	(	(	PUNCT
cana-4447	12	17	training	training	NOUN
cana-4447	12	18	vectors	vector	NOUN
cana-4447	12	19	)	)	PUNCT
cana-4447	12	20	and	and	CCONJ
cana-4447	12	21	template	template	NOUN
cana-4447	12	22	vectors	vector	NOUN
cana-4447	12	23	(	(	PUNCT
cana-4447	12	24	test	test	NOUN
cana-4447	12	25	vectors	vector	NOUN
cana-4447	12	26	)	)	PUNCT
cana-4447	12	27	are	be	AUX
cana-4447	12	28	used	use	VERB
cana-4447	12	29	as	as	ADP
cana-4447	12	30	the	the	DET
cana-4447	12	31	input	input	NOUN
cana-4447	12	32	for	for	ADP
cana-4447	12	33	tmsa	tmsa	NOUN
cana-4447	12	34	.	.	PUNCT
cana-4447	13	1	tmsa	tmsa	NOUN
cana-4447	13	2	measures	measure	NOUN
cana-4447	13	3	the	the	DET
cana-4447	13	4	similarity	similarity	NOUN
cana-4447	13	5	between	between	ADP
cana-4447	13	6	training	training	NOUN
cana-4447	13	7	and	and	CCONJ
cana-4447	13	8	test	test	NOUN
cana-4447	13	9	vectors	vector	NOUN
cana-4447	13	10	to	to	PART
cana-4447	13	11	predict	predict	VERB
cana-4447	13	12	and	and	CCONJ
cana-4447	13	13	classify	classify	VERB
cana-4447	13	14	human	human	ADJ
cana-4447	13	15	crime	crime	NOUN
cana-4447	13	16	activities	activity	NOUN
cana-4447	13	17	.	.	PUNCT
cana-4447	14	1	the	the	DET
cana-4447	14	2	empirical	empirical	ADJ
cana-4447	14	3	analysis	analysis	NOUN
cana-4447	14	4	revealed	reveal	VERB
cana-4447	14	5	that	that	SCONJ
cana-4447	14	6	the	the	DET
cana-4447	14	7	accuracies	accuracy	NOUN
cana-4447	14	8	for	for	ADP
cana-4447	14	9	hap	hap	NOUN
cana-4447	14	10	on	on	ADP
cana-4447	14	11	the	the	DET
cana-4447	14	12	ucf-101	ucf-101	PROPN
cana-4447	14	13	dataset	dataset	NOUN
cana-4447	14	14	are	be	AUX
cana-4447	14	15	95	95	NUM
cana-4447	14	16	%	%	NOUN
cana-4447	14	17	for	for	ADP
cana-4447	14	18	small	small	ADJ
cana-4447	14	19	data	datum	NOUN
cana-4447	14	20	samples	sample	NOUN
cana-4447	14	21	,	,	PUNCT
cana-4447	14	22	and	and	CCONJ
cana-4447	14	23	96.01	96.01	NUM
cana-4447	14	24	%	%	NOUN
cana-4447	14	25	for	for	ADP
cana-4447	14	26	large	large	ADJ
cana-4447	14	27	data	datum	NOUN
cana-4447	14	28	samples	sample	NOUN
cana-4447	14	29	,	,	PUNCT
cana-4447	14	30	respectively	respectively	ADV
cana-4447	14	31	.	.	PUNCT
cana-4447	15	1	keywords	keyword	NOUN
cana-4447	15	2	:	:	PUNCT
cana-4447	15	3	kalman	kalman	NOUN
cana-4447	15	4	filter	filter	PROPN
cana-4447	15	5	,	,	PUNCT
cana-4447	15	6	media	medium	NOUN
cana-4447	15	7	pipe	pipe	NOUN
cana-4447	15	8	,	,	PUNCT
cana-4447	15	9	prediction	prediction	NOUN
cana-4447	15	10	,	,	PUNCT
cana-4447	15	11	template	template	NOUN
cana-4447	15	12	matching	matching	NOUN
cana-4447	15	13	.	.	PUNCT
cana-4447	16	1	1	1	X
cana-4447	16	2	.	.	X
cana-4447	16	3	introduction	introduction	NOUN
cana-4447	16	4	in	in	ADP
cana-4447	16	5	the	the	DET
cana-4447	16	6	fields	field	NOUN
cana-4447	16	7	of	of	ADP
cana-4447	16	8	action	action	NOUN
cana-4447	16	9	classification	classification	NOUN
cana-4447	16	10	and	and	CCONJ
cana-4447	16	11	video	video	NOUN
cana-4447	16	12	processing	processing	NOUN
cana-4447	16	13	,	,	PUNCT
cana-4447	16	14	human	human	ADJ
cana-4447	16	15	activity	activity	NOUN
cana-4447	16	16	prediction	prediction	NOUN
cana-4447	16	17	(	(	PUNCT
cana-4447	16	18	hap	hap	NOUN
cana-4447	16	19	)	)	PUNCT
cana-4447	16	20	is	be	AUX
cana-4447	16	21	an	an	DET
cana-4447	16	22	essential	essential	ADJ
cana-4447	16	23	and	and	CCONJ
cana-4447	16	24	difficult	difficult	ADJ
cana-4447	16	25	task	task	NOUN
cana-4447	16	26	.	.	PUNCT
cana-4447	17	1	several	several	ADJ
cana-4447	17	2	researchers	researcher	NOUN
cana-4447	17	3	have	have	AUX
cana-4447	17	4	taken	take	VERB
cana-4447	17	5	an	an	DET
cana-4447	17	6	interest	interest	NOUN
cana-4447	17	7	in	in	ADP
cana-4447	17	8	hap	hap	NOUN
cana-4447	17	9	,	,	PUNCT
cana-4447	17	10	which	which	PRON
cana-4447	17	11	combines	combine	VERB
cana-4447	17	12	computer	computer	NOUN
cana-4447	17	13	vision	vision	NOUN
cana-4447	17	14	and	and	CCONJ
cana-4447	17	15	artificial	artificial	ADJ
cana-4447	17	16	intelligence	intelligence	NOUN
cana-4447	17	17	(	(	PUNCT
cana-4447	17	18	ai	ai	NOUN
cana-4447	17	19	)	)	PUNCT
cana-4447	17	20	with	with	ADP
cana-4447	17	21	numerical	numerical	ADJ
cana-4447	17	22	analysis	analysis	NOUN
cana-4447	17	23	.	.	PUNCT
cana-4447	18	1	hap	hap	PROPN
cana-4447	18	2	is	be	AUX
cana-4447	18	3	important	important	ADJ
cana-4447	18	4	in	in	ADP
cana-4447	18	5	various	various	ADJ
cana-4447	18	6	fields	field	NOUN
cana-4447	18	7	,	,	PUNCT
cana-4447	18	8	including	include	VERB
cana-4447	18	9	assistive	assistive	ADJ
cana-4447	18	10	robotics	robotic	NOUN
cana-4447	18	11	,	,	PUNCT
cana-4447	18	12	smart	smart	ADJ
cana-4447	18	13	homes	home	NOUN
cana-4447	18	14	,	,	PUNCT
cana-4447	18	15	human	human	ADJ
cana-4447	18	16	-	-	PUNCT
cana-4447	18	17	computer	computer	NOUN
cana-4447	18	18	interactions	interaction	NOUN
cana-4447	18	19	,	,	PUNCT
cana-4447	18	20	security	security	NOUN
cana-4447	18	21	,	,	PUNCT
cana-4447	18	22	transport	transport	NOUN
cana-4447	18	23	,	,	PUNCT
cana-4447	18	24	education	education	NOUN
cana-4447	18	25	,	,	PUNCT
cana-4447	18	26	and	and	CCONJ
cana-4447	18	27	crime	crime	NOUN
cana-4447	18	28	scene	scene	NOUN
cana-4447	18	29	analysis	analysis	NOUN
cana-4447	18	30	[	[	X
cana-4447	18	31	2	2	NUM
cana-4447	18	32	]	]	PUNCT
cana-4447	18	33	,	,	PUNCT
cana-4447	18	34	[	[	X
cana-4447	18	35	7	7	NUM
cana-4447	18	36	]	]	PUNCT
cana-4447	18	37	.	.	PUNCT
cana-4447	19	1	for	for	ADP
cana-4447	19	2	several	several	ADJ
cana-4447	19	3	reasons	reason	NOUN
cana-4447	19	4	,	,	PUNCT
cana-4447	19	5	such	such	ADJ
cana-4447	19	6	as	as	ADP
cana-4447	19	7	differences	difference	NOUN
cana-4447	19	8	in	in	ADP
cana-4447	19	9	perspective	perspective	NOUN
cana-4447	19	10	and	and	CCONJ
cana-4447	19	11	distance	distance	NOUN
cana-4447	19	12	from	from	ADP
cana-4447	19	13	the	the	DET
cana-4447	19	14	camera	camera	NOUN
cana-4447	19	15	,	,	PUNCT
cana-4447	19	16	the	the	DET
cana-4447	19	17	complexity	complexity	NOUN
cana-4447	19	18	of	of	ADP
cana-4447	19	19	the	the	DET
cana-4447	19	20	background	background	NOUN
cana-4447	19	21	,	,	PUNCT
cana-4447	19	22	and	and	CCONJ
cana-4447	19	23	the	the	DET
cana-4447	19	24	range	range	NOUN
cana-4447	19	25	of	of	ADP
cana-4447	19	26	speeds	speed	NOUN
cana-4447	19	27	,	,	PUNCT
cana-4447	19	28	the	the	DET
cana-4447	19	29	problem	problem	NOUN
cana-4447	19	30	remains	remain	VERB
cana-4447	19	31	sensitive	sensitive	ADJ
cana-4447	19	32	even	even	ADV
cana-4447	19	33	with	with	ADP
cana-4447	19	34	the	the	DET
cana-4447	19	35	notable	notable	ADJ
cana-4447	19	36	progress	progress	NOUN
cana-4447	19	37	in	in	ADP
cana-4447	19	38	hap	hap	PROPN
cana-4447	19	39	learned	learn	VERB
cana-4447	19	40	from	from	ADP
cana-4447	19	41	video	video	NOUN
cana-4447	19	42	sequences	sequence	NOUN
cana-4447	19	43	.	.	PUNCT
cana-4447	20	1	crime	crime	NOUN
cana-4447	20	2	is	be	AUX
cana-4447	20	3	defined	define	VERB
cana-4447	20	4	as	as	ADP
cana-4447	20	5	an	an	DET
cana-4447	20	6	intentional	intentional	ADJ
cana-4447	20	7	or	or	CCONJ
cana-4447	20	8	accidental	accidental	ADJ
cana-4447	20	9	act	act	NOUN
cana-4447	20	10	that	that	PRON
cana-4447	20	11	can	can	AUX
cana-4447	20	12	result	result	VERB
cana-4447	20	13	in	in	ADP
cana-4447	20	14	property	property	NOUN
cana-4447	20	15	damage	damage	NOUN
cana-4447	20	16	or	or	CCONJ
cana-4447	20	17	loss	loss	NOUN
cana-4447	20	18	,	,	PUNCT
cana-4447	20	19	psychological	psychological	ADJ
cana-4447	20	20	or	or	CCONJ
cana-4447	20	21	physical	physical	ADJ
cana-4447	20	22	harm	harm	NOUN
cana-4447	20	23	,	,	PUNCT
cana-4447	20	24	and	and	CCONJ
cana-4447	20	25	,	,	PUNCT
cana-4447	20	26	depending	depend	VERB
cana-4447	20	27	on	on	ADP
cana-4447	20	28	the	the	DET
cana-4447	20	29	seriousness	seriousness	NOUN
cana-4447	20	30	of	of	ADP
cana-4447	20	31	the	the	DET
cana-4447	20	32	offense	offense	NOUN
cana-4447	20	33	,	,	PUNCT
cana-4447	20	34	punishment	punishment	NOUN
cana-4447	20	35	from	from	ADP
cana-4447	20	36	the	the	DET
cana-4447	20	37	state	state	NOUN
cana-4447	20	38	or	or	CCONJ
cana-4447	20	39	another	another	DET
cana-4447	20	40	authority	authority	NOUN
cana-4447	21	1	[	[	X
cana-4447	21	2	6	6	NUM
cana-4447	21	3	]	]	PUNCT
cana-4447	21	4	.	.	PUNCT
cana-4447	22	1	agencies	agency	NOUN
cana-4447	22	2	are	be	AUX
cana-4447	22	3	being	be	AUX
cana-4447	22	4	forced	force	VERB
cana-4447	22	5	to	to	PART
cana-4447	22	6	create	create	VERB
cana-4447	22	7	effective	effective	ADJ
cana-4447	22	8	strategies	strategy	NOUN
cana-4447	22	9	for	for	ADP
cana-4447	22	10	taking	take	VERB
cana-4447	22	11	communications	communication	NOUN
cana-4447	22	12	on	on	ADP
cana-4447	22	13	applied	apply	VERB
cana-4447	22	14	nonlinear	nonlinear	ADJ
cana-4447	22	15	analysis	analysis	NOUN
cana-4447	22	16	issn	issn	NOUN
cana-4447	22	17	:	:	PUNCT
cana-4447	22	18	1074	1074	NUM
cana-4447	22	19	-	-	PUNCT
cana-4447	22	20	133x	133x	NUM
cana-4447	22	21	vol	vol	NOUN
cana-4447	22	22	32	32	NUM
cana-4447	22	23	no	no	NOUN
cana-4447	22	24	.	.	PUNCT
cana-4447	23	1	9s	9s	NUM
cana-4447	23	2	(	(	PUNCT
cana-4447	23	3	2025	2025	NUM
cana-4447	23	4	)	)	PUNCT
cana-4447	23	5	2051	2051	NUM
cana-4447	24	1	https://internationalpubls.com	https://internationalpubls.com	X
cana-4447	24	2	preventive	preventive	ADJ
cana-4447	24	3	action	action	NOUN
cana-4447	24	4	because	because	SCONJ
cana-4447	24	5	of	of	ADP
cana-4447	24	6	the	the	DET
cana-4447	24	7	startling	startling	ADJ
cana-4447	24	8	rate	rate	NOUN
cana-4447	24	9	at	at	ADP
cana-4447	24	10	which	which	PRON
cana-4447	24	11	the	the	DET
cana-4447	24	12	quantity	quantity	NOUN
cana-4447	24	13	and	and	CCONJ
cana-4447	24	14	types	type	NOUN
cana-4447	24	15	of	of	ADP
cana-4447	24	16	criminal	criminal	ADJ
cana-4447	24	17	activity	activity	NOUN
cana-4447	24	18	are	be	AUX
cana-4447	24	19	growing	grow	VERB
cana-4447	24	20	.	.	PUNCT
cana-4447	25	1	traditional	traditional	ADJ
cana-4447	25	2	crime	crime	NOUN
cana-4447	25	3	-	-	PUNCT
cana-4447	25	4	solving	solve	VERB
cana-4447	25	5	techniques	technique	NOUN
cana-4447	25	6	are	be	AUX
cana-4447	25	7	slow	slow	ADJ
cana-4447	25	8	and	and	CCONJ
cana-4447	25	9	inefficient	inefficient	ADJ
cana-4447	25	10	,	,	PUNCT
cana-4447	25	11	making	make	VERB
cana-4447	25	12	them	they	PRON
cana-4447	25	13	useless	useless	ADJ
cana-4447	25	14	in	in	ADP
cana-4447	25	15	the	the	DET
cana-4447	25	16	current	current	ADJ
cana-4447	25	17	climate	climate	NOUN
cana-4447	25	18	of	of	ADP
cana-4447	25	19	rapidly	rapidly	ADV
cana-4447	25	20	increasing	increase	VERB
cana-4447	25	21	crime	crime	NOUN
cana-4447	25	22	.	.	PUNCT
cana-4447	26	1	therefore	therefore	ADV
cana-4447	26	2	,	,	PUNCT
cana-4447	26	3	police	police	NOUN
cana-4447	26	4	personnel	personnel	NOUN
cana-4447	26	5	can	can	AUX
cana-4447	26	6	help	help	VERB
cana-4447	26	7	prevent	prevent	VERB
cana-4447	26	8	crimes	crime	NOUN
cana-4447	26	9	if	if	SCONJ
cana-4447	26	10	we	we	PRON
cana-4447	26	11	can	can	AUX
cana-4447	26	12	devise	devise	VERB
cana-4447	26	13	methods	method	NOUN
cana-4447	26	14	to	to	PART
cana-4447	26	15	forecast	forecast	VERB
cana-4447	26	16	crime	crime	NOUN
cana-4447	26	17	before	before	SCONJ
cana-4447	26	18	it	it	PRON
cana-4447	26	19	happens	happen	VERB
cana-4447	26	20	.	.	PUNCT
cana-4447	27	1	the	the	DET
cana-4447	27	2	majority	majority	NOUN
cana-4447	27	3	of	of	ADP
cana-4447	27	4	video	video	NOUN
cana-4447	27	5	-	-	PUNCT
cana-4447	27	6	based	base	VERB
cana-4447	27	7	hap	hap	NOUN
cana-4447	27	8	systems	system	NOUN
cana-4447	27	9	use	use	VERB
cana-4447	27	10	previous	previous	ADJ
cana-4447	27	11	activity	activity	NOUN
cana-4447	27	12	video	video	NOUN
cana-4447	27	13	frames	frame	NOUN
cana-4447	27	14	to	to	PART
cana-4447	27	15	categorize	categorize	VERB
cana-4447	27	16	and	and	CCONJ
cana-4447	27	17	forecast	forecast	VERB
cana-4447	27	18	future	future	ADJ
cana-4447	27	19	activities	activity	NOUN
cana-4447	27	20	.	.	PUNCT
cana-4447	28	1	crime	crime	NOUN
cana-4447	28	2	prediction	prediction	NOUN
cana-4447	28	3	is	be	AUX
cana-4447	28	4	crucial	crucial	ADJ
cana-4447	28	5	since	since	SCONJ
cana-4447	28	6	it	it	PRON
cana-4447	28	7	may	may	AUX
cana-4447	28	8	save	save	VERB
cana-4447	28	9	a	a	DET
cana-4447	28	10	victim	victim	NOUN
cana-4447	28	11	's	's	PART
cana-4447	28	12	life	life	NOUN
cana-4447	28	13	,	,	PUNCT
cana-4447	28	14	prevent	prevent	VERB
cana-4447	28	15	enduring	enduring	ADJ
cana-4447	28	16	suffering	suffering	NOUN
cana-4447	28	17	,	,	PUNCT
cana-4447	28	18	protect	protect	VERB
cana-4447	28	19	private	private	ADJ
cana-4447	28	20	property	property	NOUN
cana-4447	28	21	,	,	PUNCT
cana-4447	28	22	and	and	CCONJ
cana-4447	28	23	forecast	forecast	VERB
cana-4447	28	24	potential	potential	ADJ
cana-4447	28	25	terrorist	terrorist	ADJ
cana-4447	28	26	activities	activity	NOUN
cana-4447	28	27	[	[	X
cana-4447	28	28	1	1	NUM
cana-4447	28	29	]	]	PUNCT
cana-4447	28	30	.	.	PUNCT
cana-4447	29	1	in	in	ADP
cana-4447	29	2	the	the	DET
cana-4447	29	3	current	current	ADJ
cana-4447	29	4	scenario	scenario	NOUN
cana-4447	29	5	of	of	ADP
cana-4447	29	6	rapidly	rapidly	ADV
cana-4447	29	7	increasing	increase	VERB
cana-4447	29	8	crime	crime	NOUN
cana-4447	29	9	,	,	PUNCT
cana-4447	29	10	traditional	traditional	ADJ
cana-4447	29	11	crime	crime	NOUN
cana-4447	29	12	-	-	PUNCT
cana-4447	29	13	solving	solve	VERB
cana-4447	29	14	techniques	technique	NOUN
cana-4447	29	15	are	be	AUX
cana-4447	29	16	unable	unable	ADJ
cana-4447	29	17	to	to	PART
cana-4447	29	18	deliver	deliver	VERB
cana-4447	29	19	results	result	NOUN
cana-4447	29	20	,	,	PUNCT
cana-4447	29	21	being	be	AUX
cana-4447	29	22	slow	slow	ADV
cana-4447	29	23	-	-	PUNCT
cana-4447	29	24	paced	pace	VERB
cana-4447	29	25	and	and	CCONJ
cana-4447	29	26	less	less	ADV
cana-4447	29	27	efficient	efficient	ADJ
cana-4447	29	28	.	.	PUNCT
cana-4447	30	1	thus	thus	ADV
cana-4447	30	2	,	,	PUNCT
cana-4447	30	3	if	if	SCONJ
cana-4447	30	4	we	we	PRON
cana-4447	30	5	can	can	AUX
cana-4447	30	6	come	come	VERB
cana-4447	30	7	up	up	ADP
cana-4447	30	8	with	with	ADP
cana-4447	30	9	ways	way	NOUN
cana-4447	30	10	to	to	PART
cana-4447	30	11	predict	predict	VERB
cana-4447	30	12	crime	crime	NOUN
cana-4447	30	13	at	at	ADP
cana-4447	30	14	a	a	DET
cana-4447	30	15	more	more	ADV
cana-4447	30	16	accurate	accurate	ADJ
cana-4447	30	17	and	and	CCONJ
cana-4447	30	18	faster	fast	ADJ
cana-4447	30	19	rate	rate	NOUN
cana-4447	30	20	,	,	PUNCT
cana-4447	30	21	before	before	SCONJ
cana-4447	30	22	it	it	PRON
cana-4447	30	23	occurs	occur	VERB
cana-4447	30	24	,	,	PUNCT
cana-4447	30	25	or	or	CCONJ
cana-4447	30	26	come	come	VERB
cana-4447	30	27	up	up	ADP
cana-4447	30	28	with	with	ADP
cana-4447	30	29	a	a	DET
cana-4447	30	30	“	"	PUNCT
cana-4447	30	31	machine	machine	NOUN
cana-4447	30	32	”	"	PUNCT
cana-4447	30	33	that	that	PRON
cana-4447	30	34	can	can	AUX
cana-4447	30	35	assist	assist	VERB
cana-4447	30	36	police	police	NOUN
cana-4447	30	37	officers	officer	NOUN
cana-4447	30	38	,	,	PUNCT
cana-4447	30	39	it	it	PRON
cana-4447	30	40	would	would	AUX
cana-4447	30	41	lift	lift	VERB
cana-4447	30	42	the	the	DET
cana-4447	30	43	burden	burden	NOUN
cana-4447	30	44	of	of	ADP
cana-4447	30	45	police	police	NOUN
cana-4447	30	46	and	and	CCONJ
cana-4447	30	47	help	help	VERB
cana-4447	30	48	in	in	ADP
cana-4447	30	49	preventing	prevent	VERB
cana-4447	30	50	crimes	crime	NOUN
cana-4447	30	51	.	.	PUNCT
cana-4447	31	1	human	human	ADJ
cana-4447	31	2	crime	crime	NOUN
cana-4447	31	3	activity	activity	NOUN
cana-4447	31	4	predictive	predictive	ADJ
cana-4447	31	5	analysis	analysis	NOUN
cana-4447	31	6	enables	enable	VERB
cana-4447	31	7	law	law	NOUN
cana-4447	31	8	enforcers	enforcer	NOUN
cana-4447	31	9	to	to	PART
cana-4447	31	10	take	take	VERB
cana-4447	31	11	action	action	NOUN
cana-4447	31	12	before	before	SCONJ
cana-4447	31	13	a	a	DET
cana-4447	31	14	crime	crime	NOUN
cana-4447	31	15	occurs	occur	VERB
cana-4447	31	16	.	.	PUNCT
cana-4447	32	1	hap	hap	PROPN
cana-4447	32	2	is	be	AUX
cana-4447	32	3	still	still	ADV
cana-4447	32	4	a	a	DET
cana-4447	32	5	challenging	challenging	ADJ
cana-4447	32	6	topic	topic	NOUN
cana-4447	32	7	that	that	PRON
cana-4447	32	8	has	have	AUX
cana-4447	32	9	not	not	PART
cana-4447	32	10	been	be	AUX
cana-4447	32	11	fully	fully	ADV
cana-4447	32	12	solved	solve	VERB
cana-4447	32	13	,	,	PUNCT
cana-4447	32	14	because	because	SCONJ
cana-4447	32	15	of	of	ADP
cana-4447	32	16	several	several	ADJ
cana-4447	32	17	acquisition	acquisition	NOUN
cana-4447	32	18	platform	platform	NOUN
cana-4447	32	19	limitations	limitation	NOUN
cana-4447	32	20	,	,	PUNCT
cana-4447	32	21	including	include	VERB
cana-4447	32	22	the	the	DET
cana-4447	32	23	dynamic	dynamic	ADJ
cana-4447	32	24	and	and	CCONJ
cana-4447	32	25	complicated	complicated	ADJ
cana-4447	32	26	background	background	NOUN
cana-4447	32	27	,	,	PUNCT
cana-4447	32	28	point	point	NOUN
cana-4447	32	29	-	-	PUNCT
cana-4447	32	30	of	of	ADP
cana-4447	32	31	-	-	PUNCT
cana-4447	32	32	view	view	NOUN
cana-4447	32	33	variation	variation	NOUN
cana-4447	32	34	,	,	PUNCT
cana-4447	32	35	camera	camera	NOUN
cana-4447	32	36	height	height	NOUN
cana-4447	32	37	,	,	PUNCT
cana-4447	32	38	and	and	CCONJ
cana-4447	32	39	human	human	ADJ
cana-4447	32	40	appearance	appearance	NOUN
cana-4447	32	41	,	,	PUNCT
cana-4447	32	42	etc	etc	X
cana-4447	32	43	.	.	X
cana-4447	33	1	[	[	X
cana-4447	33	2	16	16	NUM
cana-4447	33	3	]	]	PUNCT
cana-4447	33	4	proposed	propose	VERB
cana-4447	33	5	an	an	DET
cana-4447	33	6	architecture	architecture	NOUN
cana-4447	33	7	for	for	ADP
cana-4447	33	8	video	video	NOUN
cana-4447	33	9	activity	activity	NOUN
cana-4447	33	10	prediction	prediction	NOUN
cana-4447	33	11	that	that	PRON
cana-4447	33	12	combines	combine	VERB
cana-4447	33	13	saliency	saliency	NOUN
cana-4447	33	14	-	-	PUNCT
cana-4447	33	15	aware	aware	ADJ
cana-4447	33	16	motion	motion	NOUN
cana-4447	33	17	enhancement	enhancement	NOUN
cana-4447	33	18	(	(	PUNCT
cana-4447	33	19	sme	sme	NOUN
cana-4447	33	20	)	)	PUNCT
cana-4447	33	21	with	with	ADP
cana-4447	33	22	a	a	DET
cana-4447	33	23	weighted	weight	VERB
cana-4447	33	24	long	long	ADJ
cana-4447	33	25	short	short	ADJ
cana-4447	33	26	-	-	PUNCT
cana-4447	33	27	term	term	NOUN
cana-4447	33	28	memory	memory	NOUN
cana-4447	33	29	network	network	NOUN
cana-4447	33	30	(	(	PUNCT
cana-4447	33	31	wlstm	wlstm	PROPN
cana-4447	33	32	)	)	PUNCT
cana-4447	33	33	.	.	PUNCT
cana-4447	34	1	smes	sme	NOUN
cana-4447	34	2	effectively	effectively	ADV
cana-4447	34	3	reduce	reduce	VERB
cana-4447	34	4	spatial	spatial	ADJ
cana-4447	34	5	and	and	CCONJ
cana-4447	34	6	temporal	temporal	ADJ
cana-4447	34	7	redundancy	redundancy	NOUN
cana-4447	34	8	interference	interference	NOUN
cana-4447	34	9	by	by	ADP
cana-4447	34	10	suppressing	suppress	VERB
cana-4447	34	11	background	background	NOUN
cana-4447	34	12	noise	noise	NOUN
cana-4447	34	13	in	in	ADP
cana-4447	34	14	video	video	NOUN
cana-4447	34	15	frames	frame	NOUN
cana-4447	34	16	.	.	PUNCT
cana-4447	35	1	after	after	ADP
cana-4447	35	2	evaluation	evaluation	NOUN
cana-4447	35	3	,	,	PUNCT
cana-4447	35	4	the	the	DET
cana-4447	35	5	framework	framework	NOUN
cana-4447	35	6	decreases	decrease	VERB
cana-4447	35	7	the	the	DET
cana-4447	35	8	temporal	temporal	ADJ
cana-4447	35	9	redundancy	redundancy	NOUN
cana-4447	35	10	and	and	CCONJ
cana-4447	35	11	achieves	achieve	VERB
cana-4447	35	12	the	the	DET
cana-4447	35	13	highest	high	ADJ
cana-4447	35	14	prediction	prediction	NOUN
cana-4447	35	15	results	result	NOUN
cana-4447	35	16	of	of	ADP
cana-4447	35	17	98.3	98.3	NUM
cana-4447	35	18	%	%	NOUN
cana-4447	35	19	,	,	PUNCT
cana-4447	35	20	95.1	95.1	NUM
cana-4447	35	21	%	%	NOUN
cana-4447	35	22	,	,	PUNCT
cana-4447	35	23	and	and	CCONJ
cana-4447	35	24	78.1	78.1	NUM
cana-4447	35	25	%	%	NOUN
cana-4447	35	26	on	on	ADP
cana-4447	35	27	the	the	DET
cana-4447	35	28	ut	ut	PROPN
cana-4447	35	29	-	-	PUNCT
cana-4447	35	30	interaction	interaction	NOUN
cana-4447	35	31	dataset	dataset	NOUN
cana-4447	35	32	sets	set	NOUN
cana-4447	35	33	1	1	NUM
cana-4447	35	34	and	and	CCONJ
cana-4447	35	35	2	2	NUM
cana-4447	35	36	and	and	CCONJ
cana-4447	35	37	the	the	DET
cana-4447	35	38	sub	sub	ADJ
cana-4447	35	39	-	-	ADJ
cana-4447	35	40	jhmdb	jhmdb	ADJ
cana-4447	35	41	dataset	dataset	NOUN
cana-4447	35	42	,	,	PUNCT
cana-4447	35	43	respectively	respectively	ADV
cana-4447	35	44	.	.	PUNCT
cana-4447	36	1	[	[	X
cana-4447	36	2	17	17	NUM
cana-4447	36	3	]	]	PUNCT
cana-4447	36	4	explains	explain	VERB
cana-4447	36	5	a	a	DET
cana-4447	36	6	special	special	ADJ
cana-4447	36	7	hap	hap	NOUN
cana-4447	36	8	system	system	NOUN
cana-4447	36	9	using	use	VERB
cana-4447	36	10	inertial	inertial	ADJ
cana-4447	36	11	measurement	measurement	NOUN
cana-4447	36	12	unit	unit	NOUN
cana-4447	36	13	(	(	PUNCT
cana-4447	36	14	imu	imu	NOUN
cana-4447	36	15	)	)	PUNCT
cana-4447	36	16	anticipated	anticipate	VERB
cana-4447	36	17	activity	activity	NOUN
cana-4447	36	18	data	datum	NOUN
cana-4447	36	19	.	.	PUNCT
cana-4447	37	1	used	use	VERB
cana-4447	37	2	a	a	DET
cana-4447	37	3	bilong	bilong	ADJ
cana-4447	37	4	short	short	ADJ
cana-4447	37	5	-	-	PUNCT
cana-4447	37	6	term	term	NOUN
cana-4447	37	7	memory	memory	NOUN
cana-4447	37	8	(	(	PUNCT
cana-4447	37	9	lstm	lstm	NOUN
cana-4447	37	10	)	)	PUNCT
cana-4447	37	11	deep	deep	ADJ
cana-4447	37	12	learning	learning	NOUN
cana-4447	37	13	classifier	classifier	NOUN
cana-4447	37	14	for	for	ADP
cana-4447	37	15	predicting	predict	VERB
cana-4447	37	16	future	future	ADJ
cana-4447	37	17	activities	activity	NOUN
cana-4447	37	18	and	and	CCONJ
cana-4447	37	19	a	a	DET
cana-4447	37	20	deep	deep	ADJ
cana-4447	37	21	learning	learning	NOUN
cana-4447	37	22	forecaster	forecaster	NOUN
cana-4447	37	23	for	for	ADP
cana-4447	37	24	imu	imu	NOUN
cana-4447	37	25	activity	activity	NOUN
cana-4447	37	26	signals	signal	NOUN
cana-4447	37	27	comprising	comprise	VERB
cana-4447	37	28	the	the	DET
cana-4447	37	29	hap	hap	NOUN
cana-4447	37	30	system	system	NOUN
cana-4447	37	31	.	.	PUNCT
cana-4447	38	1	two	two	NUM
cana-4447	38	2	triaxial	triaxial	ADJ
cana-4447	38	3	imu	imu	ADJ
cana-4447	38	4	sensors	sensor	NOUN
cana-4447	38	5	were	be	AUX
cana-4447	38	6	used	use	VERB
cana-4447	38	7	to	to	PART
cana-4447	38	8	test	test	VERB
cana-4447	38	9	the	the	DET
cana-4447	38	10	hap	hap	NOUN
cana-4447	38	11	system	system	NOUN
cana-4447	38	12	for	for	ADP
cana-4447	38	13	five	five	NUM
cana-4447	38	14	daily	daily	ADJ
cana-4447	38	15	tasks	task	NOUN
cana-4447	38	16	.	.	PUNCT
cana-4447	39	1	for	for	ADP
cana-4447	39	2	the	the	DET
cana-4447	39	3	five	five	NUM
cana-4447	39	4	activities	activity	NOUN
cana-4447	39	5	,	,	PUNCT
cana-4447	39	6	the	the	DET
cana-4447	39	7	average	average	ADJ
cana-4447	39	8	correlation	correlation	NOUN
cana-4447	39	9	between	between	ADP
cana-4447	39	10	the	the	DET
cana-4447	39	11	projected	project	VERB
cana-4447	39	12	and	and	CCONJ
cana-4447	39	13	observed	observed	ADJ
cana-4447	39	14	signals	signal	NOUN
cana-4447	39	15	is	be	AUX
cana-4447	39	16	91.6	91.6	NUM
cana-4447	39	17	%	%	NOUN
cana-4447	39	18	.	.	PUNCT
cana-4447	40	1	the	the	DET
cana-4447	40	2	proposed	propose	VERB
cana-4447	40	3	hap	hap	NOUN
cana-4447	40	4	system	system	NOUN
cana-4447	40	5	predicts	predict	VERB
cana-4447	40	6	future	future	ADJ
cana-4447	40	7	actions	action	NOUN
cana-4447	40	8	with	with	ADP
cana-4447	40	9	an	an	DET
cana-4447	40	10	average	average	ADJ
cana-4447	40	11	accuracy	accuracy	NOUN
cana-4447	40	12	of	of	ADP
cana-4447	40	13	97.96	97.96	NUM
cana-4447	40	14	%	%	NOUN
cana-4447	40	15	.	.	PUNCT
cana-4447	41	1	[	[	X
cana-4447	41	2	8	8	NUM
cana-4447	41	3	]	]	PUNCT
cana-4447	41	4	introduced	introduce	VERB
cana-4447	41	5	a	a	DET
cana-4447	41	6	multi	multi	ADJ
cana-4447	41	7	-	-	ADJ
cana-4447	41	8	network	network	ADJ
cana-4447	41	9	fusion	fusion	NOUN
cana-4447	41	10	strategy	strategy	NOUN
cana-4447	41	11	based	base	VERB
cana-4447	41	12	on	on	ADP
cana-4447	41	13	a	a	DET
cana-4447	41	14	feature	feature	NOUN
cana-4447	41	15	-	-	PUNCT
cana-4447	41	16	based	base	VERB
cana-4447	41	17	method	method	NOUN
cana-4447	41	18	for	for	ADP
cana-4447	41	19	identifying	identify	VERB
cana-4447	41	20	violence	violence	NOUN
cana-4447	41	21	or	or	CCONJ
cana-4447	41	22	the	the	DET
cana-4447	41	23	lack	lack	NOUN
cana-4447	41	24	of	of	ADP
cana-4447	41	25	violence	violence	NOUN
cana-4447	41	26	in	in	ADP
cana-4447	41	27	real	real	ADJ
cana-4447	41	28	-	-	PUNCT
cana-4447	41	29	world	world	NOUN
cana-4447	41	30	surveillance	surveillance	NOUN
cana-4447	41	31	.	.	PUNCT
cana-4447	42	1	initially	initially	ADV
cana-4447	42	2	,	,	PUNCT
cana-4447	42	3	a	a	DET
cana-4447	42	4	convolutional	convolutional	ADJ
cana-4447	42	5	neural	neural	ADJ
cana-4447	42	6	network	network	NOUN
cana-4447	42	7	(	(	PUNCT
cana-4447	42	8	convnet	convnet	NOUN
cana-4447	42	9	)	)	PUNCT
cana-4447	42	10	retrieves	retrieve	VERB
cana-4447	42	11	the	the	DET
cana-4447	42	12	spatial	spatial	ADJ
cana-4447	42	13	data	data	NOUN
cana-4447	42	14	.	.	PUNCT
cana-4447	43	1	liteflownet	liteflownet	PROPN
cana-4447	43	2	acquired	acquire	VERB
cana-4447	43	3	the	the	DET
cana-4447	43	4	pyramidal	pyramidal	ADJ
cana-4447	43	5	convolutional	convolutional	ADJ
cana-4447	43	6	features	feature	NOUN
cana-4447	43	7	from	from	ADP
cana-4447	43	8	two	two	NUM
cana-4447	43	9	sequential	sequential	ADJ
cana-4447	43	10	frames	frame	NOUN
cana-4447	43	11	.	.	PUNCT
cana-4447	44	1	a	a	DET
cana-4447	44	2	deep	deep	ADV
cana-4447	44	3	-	-	PUNCT
cana-4447	44	4	gated	gate	VERB
cana-4447	44	5	recurrent	recurrent	ADJ
cana-4447	44	6	unit	unit	NOUN
cana-4447	44	7	(	(	PUNCT
cana-4447	44	8	gru	gru	PROPN
cana-4447	44	9	)	)	PUNCT
cana-4447	44	10	independently	independently	ADV
cana-4447	44	11	receives	receive	VERB
cana-4447	44	12	the	the	DET
cana-4447	44	13	outputs	output	NOUN
cana-4447	44	14	from	from	ADP
cana-4447	44	15	both	both	DET
cana-4447	44	16	networks	network	NOUN
cana-4447	44	17	(	(	PUNCT
cana-4447	44	18	convnet	convnet	NOUN
cana-4447	44	19	and	and	CCONJ
cana-4447	44	20	liteflownet	liteflownet	PROPN
cana-4447	44	21	)	)	PUNCT
cana-4447	44	22	.	.	PUNCT
cana-4447	45	1	data	datum	NOUN
cana-4447	45	2	from	from	ADP
cana-4447	45	3	each	each	DET
cana-4447	45	4	gru	gru	NOUN
cana-4447	45	5	is	be	AUX
cana-4447	45	6	combined	combine	VERB
cana-4447	45	7	and	and	CCONJ
cana-4447	45	8	subsequently	subsequently	ADV
cana-4447	45	9	transferred	transfer	VERB
cana-4447	45	10	to	to	ADP
cana-4447	45	11	the	the	DET
cana-4447	45	12	dense	dense	ADJ
cana-4447	45	13	layer	layer	NOUN
cana-4447	45	14	for	for	ADP
cana-4447	45	15	the	the	DET
cana-4447	45	16	final	final	ADJ
cana-4447	45	17	decision	decision	NOUN
cana-4447	45	18	-	-	PUNCT
cana-4447	45	19	making	make	VERB
cana-4447	45	20	process	process	NOUN
cana-4447	45	21	.	.	PUNCT
cana-4447	46	1	an	an	DET
cana-4447	46	2	ablation	ablation	NOUN
cana-4447	46	3	study	study	NOUN
cana-4447	46	4	is	be	AUX
cana-4447	46	5	undertaken	undertake	VERB
cana-4447	46	6	on	on	ADP
cana-4447	46	7	three	three	NUM
cana-4447	46	8	realworld	realworld	PROPN
cana-4447	46	9	surveillance	surveillance	NOUN
cana-4447	46	10	datasets	dataset	NOUN
cana-4447	46	11	to	to	PART
cana-4447	46	12	assess	assess	VERB
cana-4447	46	13	the	the	DET
cana-4447	46	14	efficacy	efficacy	NOUN
cana-4447	46	15	of	of	ADP
cana-4447	46	16	approach	approach	NOUN
cana-4447	46	17	1	1	NUM
cana-4447	46	18	)	)	PUNCT
cana-4447	46	19	the	the	DET
cana-4447	46	20	rwf-2000	rwf-2000	NOUN
cana-4447	46	21	dataset	dataset	PROPN
cana-4447	46	22	obtained	obtain	VERB
cana-4447	46	23	an	an	DET
cana-4447	46	24	accuracy	accuracy	NOUN
cana-4447	46	25	of	of	ADP
cana-4447	46	26	94.50	94.50	NUM
cana-4447	46	27	%	%	NOUN
cana-4447	46	28	.	.	PUNCT
cana-4447	47	1	2	2	X
cana-4447	47	2	)	)	PUNCT
cana-4447	47	3	the	the	DET
cana-4447	47	4	surveillance	surveillance	NOUN
cana-4447	47	5	fight	fight	NOUN
cana-4447	47	6	dataset	dataset	NOUN
cana-4447	47	7	reached	reach	VERB
cana-4447	47	8	an	an	DET
cana-4447	47	9	accuracy	accuracy	NOUN
cana-4447	47	10	of	of	ADP
cana-4447	47	11	96.69	96.69	NUM
cana-4447	47	12	%	%	NOUN
cana-4447	47	13	,	,	PUNCT
cana-4447	47	14	and	and	CCONJ
cana-4447	47	15	3	3	X
cana-4447	47	16	)	)	PUNCT
cana-4447	47	17	the	the	DET
cana-4447	47	18	hockey	hockey	NOUN
cana-4447	47	19	fight	fight	NOUN
cana-4447	47	20	dataset	dataset	PROPN
cana-4447	47	21	attained	attain	VERB
cana-4447	47	22	an	an	DET
cana-4447	47	23	accuracy	accuracy	NOUN
cana-4447	47	24	of	of	ADP
cana-4447	47	25	98.62	98.62	NUM
cana-4447	47	26	%	%	NOUN
cana-4447	47	27	.	.	PUNCT
cana-4447	48	1	[	[	X
cana-4447	48	2	11	11	NUM
cana-4447	48	3	]	]	PUNCT
cana-4447	48	4	proposed	propose	VERB
cana-4447	48	5	kalman	kalman	NOUN
cana-4447	48	6	filters	filter	VERB
cana-4447	48	7	algorithm	algorithm	PROPN
cana-4447	48	8	for	for	ADP
cana-4447	48	9	human	human	ADJ
cana-4447	48	10	tracking	tracking	NOUN
cana-4447	48	11	in	in	ADP
cana-4447	48	12	urban	urban	ADJ
cana-4447	48	13	environments	environment	NOUN
cana-4447	48	14	online	online	ADJ
cana-4447	48	15	videos	video	NOUN
cana-4447	48	16	.	.	PUNCT
cana-4447	49	1	the	the	DET
cana-4447	49	2	proposed	propose	VERB
cana-4447	49	3	methods	method	NOUN
cana-4447	49	4	show	show	VERB
cana-4447	49	5	that	that	SCONJ
cana-4447	49	6	the	the	DET
cana-4447	49	7	efficiency	efficiency	NOUN
cana-4447	49	8	of	of	ADP
cana-4447	49	9	frame	frame	NOUN
cana-4447	49	10	-	-	PUNCT
cana-4447	49	11	by	by	ADP
cana-4447	49	12	-	-	PUNCT
cana-4447	49	13	frame	frame	NOUN
cana-4447	49	14	tracking	tracking	NOUN
cana-4447	49	15	depends	depend	VERB
cana-4447	49	16	on	on	ADP
cana-4447	49	17	preserving	preserve	VERB
cana-4447	49	18	a	a	DET
cana-4447	49	19	trace	trace	NOUN
cana-4447	49	20	of	of	ADP
cana-4447	49	21	past	past	ADJ
cana-4447	49	22	positions	position	NOUN
cana-4447	49	23	.	.	PUNCT
cana-4447	50	1	the	the	DET
cana-4447	50	2	tracking	tracking	NOUN
cana-4447	50	3	system	system	NOUN
cana-4447	50	4	's	's	PART
cana-4447	50	5	efficiency	efficiency	NOUN
cana-4447	50	6	is	be	AUX
cana-4447	50	7	increased	increase	VERB
cana-4447	50	8	by	by	ADP
cana-4447	50	9	including	include	VERB
cana-4447	50	10	a	a	DET
cana-4447	50	11	prediction	prediction	NOUN
cana-4447	50	12	of	of	ADP
cana-4447	50	13	future	future	ADJ
cana-4447	50	14	positions	position	NOUN
cana-4447	50	15	,	,	PUNCT
cana-4447	50	16	which	which	PRON
cana-4447	50	17	enables	enable	VERB
cana-4447	50	18	it	it	PRON
cana-4447	50	19	to	to	PART
cana-4447	50	20	track	track	VERB
cana-4447	50	21	people	people	NOUN
cana-4447	50	22	in	in	ADP
cana-4447	50	23	real	real	ADJ
cana-4447	50	24	-	-	PUNCT
cana-4447	50	25	world	world	NOUN
cana-4447	50	26	situations	situation	NOUN
cana-4447	50	27	including	include	VERB
cana-4447	50	28	sudden	sudden	ADJ
cana-4447	50	29	changes	change	NOUN
cana-4447	50	30	in	in	ADP
cana-4447	50	31	trajectory	trajectory	NOUN
cana-4447	50	32	,	,	PUNCT
cana-4447	50	33	individual	individual	ADJ
cana-4447	50	34	crossings	crossing	NOUN
cana-4447	50	35	,	,	PUNCT
cana-4447	50	36	and	and	CCONJ
cana-4447	50	37	disappearances	disappearance	VERB
cana-4447	50	38	behind	behind	ADP
cana-4447	50	39	obstacles	obstacle	NOUN
cana-4447	50	40	.	.	PUNCT
cana-4447	51	1	[	[	X
cana-4447	51	2	2	2	X
cana-4447	51	3	]	]	PUNCT
cana-4447	51	4	describes	describe	VERB
cana-4447	51	5	a	a	DET
cana-4447	51	6	novel	novel	ADJ
cana-4447	51	7	method	method	NOUN
cana-4447	51	8	for	for	ADP
cana-4447	51	9	predicting	predict	VERB
cana-4447	51	10	human	human	ADJ
cana-4447	51	11	activity	activity	NOUN
cana-4447	51	12	from	from	ADP
cana-4447	51	13	videos	video	NOUN
cana-4447	51	14	using	use	VERB
cana-4447	51	15	the	the	DET
cana-4447	51	16	convolutional	convolutional	ADJ
cana-4447	51	17	neural	neural	ADJ
cana-4447	51	18	network	network	NOUN
cana-4447	51	19	(	(	PUNCT
cana-4447	51	20	cnn	cnn	PROPN
cana-4447	51	21	)	)	PUNCT
cana-4447	51	22	in	in	ADP
cana-4447	51	23	conjunction	conjunction	NOUN
cana-4447	51	24	with	with	ADP
cana-4447	51	25	a	a	DET
cana-4447	51	26	new	new	ADJ
cana-4447	51	27	human	human	ADJ
cana-4447	51	28	skeletal	skeletal	ADJ
cana-4447	51	29	architecture	architecture	NOUN
cana-4447	51	30	for	for	ADP
cana-4447	51	31	feature	feature	NOUN
cana-4447	51	32	representation	representation	NOUN
cana-4447	51	33	and	and	CCONJ
cana-4447	51	34	the	the	DET
cana-4447	51	35	recurrent	recurrent	ADJ
cana-4447	51	36	neural	neural	ADJ
cana-4447	51	37	network	network	NOUN
cana-4447	51	38	communications	communication	NOUN
cana-4447	51	39	on	on	ADP
cana-4447	51	40	applied	apply	VERB
cana-4447	51	41	nonlinear	nonlinear	ADJ
cana-4447	51	42	analysis	analysis	NOUN
cana-4447	51	43	issn	issn	NOUN
cana-4447	51	44	:	:	PUNCT
cana-4447	51	45	1074	1074	NUM
cana-4447	51	46	-	-	PUNCT
cana-4447	51	47	133x	133x	NUM
cana-4447	51	48	vol	vol	NOUN
cana-4447	51	49	32	32	NUM
cana-4447	52	1	no	no	NOUN
cana-4447	52	2	.	.	PUNCT
cana-4447	53	1	9s	9s	NUM
cana-4447	53	2	(	(	PUNCT
cana-4447	53	3	2025	2025	NUM
cana-4447	53	4	)	)	PUNCT
cana-4447	53	5	2052	2052	NUM
cana-4447	54	1	https://internationalpubls.com	https://internationalpubls.com	X
cana-4447	54	2	(	(	PUNCT
cana-4447	54	3	rnn	rnn	PROPN
cana-4447	54	4	)	)	PUNCT
cana-4447	54	5	for	for	ADP
cana-4447	54	6	activity	activity	NOUN
cana-4447	54	7	categorization	categorization	NOUN
cana-4447	54	8	.	.	PUNCT
cana-4447	55	1	kalman	kalman	NOUN
cana-4447	55	2	filter	filter	PROPN
cana-4447	55	3	can	can	AUX
cana-4447	55	4	track	track	VERB
cana-4447	55	5	a	a	DET
cana-4447	55	6	moving	move	VERB
cana-4447	55	7	person	person	NOUN
cana-4447	55	8	in	in	ADP
cana-4447	55	9	a	a	DET
cana-4447	55	10	video	video	NOUN
cana-4447	55	11	stream	stream	NOUN
cana-4447	55	12	and	and	CCONJ
cana-4447	55	13	determine	determine	VERB
cana-4447	55	14	the	the	DET
cana-4447	55	15	bounding	bounding	NOUN
cana-4447	55	16	box	box	NOUN
cana-4447	55	17	from	from	ADP
cana-4447	55	18	a	a	DET
cana-4447	55	19	centroid	centroid	NOUN
cana-4447	55	20	location	location	NOUN
cana-4447	55	21	.	.	PUNCT
cana-4447	56	1	the	the	DET
cana-4447	56	2	rgb	rgb	PROPN
cana-4447	56	3	-	-	PROPN
cana-4447	56	4	d	d	PROPN
cana-4447	56	5	sensor	sensor	NOUN
cana-4447	56	6	dataset	dataset	VERB
cana-4447	56	7	cad-60	cad-60	NOUN
cana-4447	56	8	is	be	AUX
cana-4447	56	9	used	use	VERB
cana-4447	56	10	to	to	PART
cana-4447	56	11	assess	assess	VERB
cana-4447	56	12	the	the	DET
cana-4447	56	13	effectiveness	effectiveness	NOUN
cana-4447	56	14	of	of	ADP
cana-4447	56	15	the	the	DET
cana-4447	56	16	suggested	suggest	VERB
cana-4447	56	17	method	method	NOUN
cana-4447	56	18	.	.	PUNCT
cana-4447	57	1	the	the	DET
cana-4447	57	2	performance	performance	NOUN
cana-4447	57	3	is	be	AUX
cana-4447	57	4	demonstrated	demonstrate	VERB
cana-4447	57	5	by	by	ADP
cana-4447	57	6	the	the	DET
cana-4447	57	7	average	average	ADJ
cana-4447	57	8	error	error	NOUN
cana-4447	57	9	rate	rate	NOUN
cana-4447	57	10	of	of	ADP
cana-4447	57	11	4.5	4.5	NUM
cana-4447	57	12	%	%	NOUN
cana-4447	57	13	in	in	ADP
cana-4447	57	14	the	the	DET
cana-4447	57	15	experimental	experimental	ADJ
cana-4447	57	16	findings	finding	NOUN
cana-4447	57	17	.	.	PUNCT
cana-4447	58	1	[	[	X
cana-4447	58	2	3	3	X
cana-4447	58	3	]	]	PUNCT
cana-4447	58	4	introduced	introduce	VERB
cana-4447	58	5	the	the	DET
cana-4447	58	6	kalman	kalman	PROPN
cana-4447	58	7	filter	filter	NOUN
cana-4447	58	8	algorithm	algorithm	NOUN
cana-4447	58	9	for	for	ADP
cana-4447	58	10	tracking	track	VERB
cana-4447	58	11	and	and	CCONJ
cana-4447	58	12	detecting	detect	VERB
cana-4447	58	13	multi	multi	NOUN
cana-4447	58	14	-	-	NOUN
cana-4447	58	15	objects	object	NOUN
cana-4447	58	16	in	in	ADP
cana-4447	58	17	video	video	NOUN
cana-4447	58	18	.	.	PUNCT
cana-4447	59	1	adaboost	adaboost	PROPN
cana-4447	59	2	classifier	classifier	NOUN
cana-4447	59	3	detected	detect	VERB
cana-4447	59	4	the	the	DET
cana-4447	59	5	objects	object	NOUN
cana-4447	59	6	and	and	CCONJ
cana-4447	59	7	upstream	upstream	ADJ
cana-4447	59	8	tracking	tracking	NOUN
cana-4447	59	9	using	use	VERB
cana-4447	59	10	the	the	DET
cana-4447	59	11	camshift	camshift	NOUN
cana-4447	59	12	and	and	CCONJ
cana-4447	59	13	kalman	kalman	PROPN
cana-4447	59	14	filter	filter	NOUN
cana-4447	59	15	algorithms	algorithm	NOUN
cana-4447	59	16	.	.	PUNCT
cana-4447	60	1	the	the	DET
cana-4447	60	2	cascade	cascade	NOUN
cana-4447	60	3	of	of	ADP
cana-4447	60	4	adaboost	adaboost	ADJ
cana-4447	60	5	classifiers	classifier	NOUN
cana-4447	60	6	improves	improve	VERB
cana-4447	60	7	the	the	DET
cana-4447	60	8	calculation	calculation	NOUN
cana-4447	60	9	time	time	NOUN
cana-4447	60	10	and	and	CCONJ
cana-4447	60	11	the	the	DET
cana-4447	60	12	quality	quality	NOUN
cana-4447	60	13	of	of	ADP
cana-4447	60	14	tracking	track	VERB
cana-4447	60	15	one	one	NUM
cana-4447	60	16	or	or	CCONJ
cana-4447	60	17	more	more	ADJ
cana-4447	60	18	objects	object	NOUN
cana-4447	60	19	in	in	ADP
cana-4447	60	20	a	a	DET
cana-4447	60	21	sequence	sequence	NOUN
cana-4447	60	22	of	of	ADP
cana-4447	60	23	images	image	NOUN
cana-4447	60	24	or	or	CCONJ
cana-4447	60	25	videos	video	NOUN
cana-4447	60	26	.	.	PUNCT
cana-4447	61	1	[	[	X
cana-4447	61	2	12	12	NUM
cana-4447	61	3	]	]	PUNCT
cana-4447	61	4	explains	explain	VERB
cana-4447	61	5	the	the	DET
cana-4447	61	6	kalman	kalman	PROPN
cana-4447	61	7	filter	filter	NOUN
cana-4447	61	8	and	and	CCONJ
cana-4447	61	9	integrates	integrate	NOUN
cana-4447	61	10	with	with	ADP
cana-4447	61	11	the	the	DET
cana-4447	61	12	neural	neural	ADJ
cana-4447	61	13	network	network	NOUN
cana-4447	61	14	technique	technique	NOUN
cana-4447	61	15	.	.	PUNCT
cana-4447	62	1	it	it	PRON
cana-4447	62	2	comprises	comprise	VERB
cana-4447	62	3	a	a	DET
cana-4447	62	4	succinct	succinct	ADJ
cana-4447	62	5	explanation	explanation	NOUN
cana-4447	62	6	of	of	ADP
cana-4447	62	7	the	the	DET
cana-4447	62	8	traditional	traditional	ADJ
cana-4447	62	9	kalman	kalman	NOUN
cana-4447	62	10	filter	filter	NOUN
cana-4447	62	11	as	as	ADV
cana-4447	62	12	well	well	ADV
cana-4447	62	13	as	as	ADP
cana-4447	62	14	its	its	PRON
cana-4447	62	15	variants	variant	NOUN
cana-4447	62	16	,	,	PUNCT
cana-4447	62	17	including	include	VERB
cana-4447	62	18	the	the	DET
cana-4447	62	19	cubature	cubature	ADJ
cana-4447	62	20	kalman	kalman	NOUN
cana-4447	62	21	filter	filter	PROPN
cana-4447	62	22	(	(	PUNCT
cana-4447	62	23	ckf	ckf	PROPN
cana-4447	62	24	)	)	PUNCT
cana-4447	62	25	,	,	PUNCT
cana-4447	62	26	unscented	unscente	VERB
cana-4447	62	27	kalman	kalman	PROPN
cana-4447	62	28	filter	filter	PROPN
cana-4447	62	29	(	(	PUNCT
cana-4447	62	30	ukf	ukf	NOUN
cana-4447	62	31	)	)	PUNCT
cana-4447	62	32	,	,	PUNCT
cana-4447	62	33	and	and	CCONJ
cana-4447	62	34	extended	extended	ADJ
cana-4447	62	35	kalman	kalman	NOUN
cana-4447	62	36	filter	filter	PROPN
cana-4447	62	37	(	(	PUNCT
cana-4447	62	38	ekf	ekf	PROPN
cana-4447	62	39	)	)	PUNCT
cana-4447	62	40	.	.	PUNCT
cana-4447	63	1	the	the	DET
cana-4447	63	2	hybrid	hybrid	NOUN
cana-4447	63	3	model	model	NOUN
cana-4447	63	4	performs	perform	VERB
cana-4447	63	5	better	well	ADV
cana-4447	63	6	in	in	ADP
cana-4447	63	7	terms	term	NOUN
cana-4447	63	8	of	of	ADP
cana-4447	63	9	accuracy	accuracy	NOUN
cana-4447	63	10	and	and	CCONJ
cana-4447	63	11	resilience	resilience	NOUN
cana-4447	63	12	.	.	PUNCT
cana-4447	64	1	[	[	X
cana-4447	64	2	13	13	NUM
cana-4447	64	3	]	]	PUNCT
cana-4447	64	4	describes	describe	VERB
cana-4447	64	5	a	a	DET
cana-4447	64	6	kalman	kalman	NOUN
cana-4447	64	7	filter	filter	NOUN
cana-4447	64	8	strategy	strategy	NOUN
cana-4447	64	9	for	for	ADP
cana-4447	64	10	predicting	predict	VERB
cana-4447	64	11	traffic	traffic	NOUN
cana-4447	64	12	patterns	pattern	NOUN
cana-4447	64	13	approaching	approach	VERB
cana-4447	64	14	an	an	DET
cana-4447	64	15	intersection	intersection	NOUN
cana-4447	64	16	based	base	VERB
cana-4447	64	17	on	on	ADP
cana-4447	64	18	data	datum	NOUN
cana-4447	64	19	from	from	ADP
cana-4447	64	20	linked	link	VERB
cana-4447	64	21	automobiles	automobile	NOUN
cana-4447	64	22	.	.	PUNCT
cana-4447	65	1	according	accord	VERB
cana-4447	65	2	to	to	ADP
cana-4447	65	3	the	the	DET
cana-4447	65	4	investigation	investigation	NOUN
cana-4447	65	5	's	's	PART
cana-4447	65	6	findings	finding	NOUN
cana-4447	65	7	,	,	PUNCT
cana-4447	65	8	the	the	DET
cana-4447	65	9	kalman	kalman	NOUN
cana-4447	65	10	filter	filter	NOUN
cana-4447	65	11	performs	perform	VERB
cana-4447	65	12	best	good	ADJ
cana-4447	65	13	when	when	SCONJ
cana-4447	65	14	the	the	DET
cana-4447	65	15	penetration	penetration	NOUN
cana-4447	65	16	rate	rate	NOUN
cana-4447	65	17	exceeds	exceed	VERB
cana-4447	65	18	20	20	NUM
cana-4447	65	19	%	%	NOUN
cana-4447	65	20	.	.	PUNCT
cana-4447	66	1	because	because	SCONJ
cana-4447	66	2	the	the	DET
cana-4447	66	3	suggested	suggest	VERB
cana-4447	66	4	technique	technique	NOUN
cana-4447	66	5	uses	use	VERB
cana-4447	66	6	the	the	DET
cana-4447	66	7	connected	connected	ADJ
cana-4447	66	8	vehicle	vehicle	NOUN
cana-4447	66	9	data	datum	NOUN
cana-4447	66	10	right	right	ADV
cana-4447	66	11	before	before	ADP
cana-4447	66	12	the	the	DET
cana-4447	66	13	prediction	prediction	NOUN
cana-4447	66	14	period	period	NOUN
cana-4447	66	15	,	,	PUNCT
cana-4447	66	16	it	it	PRON
cana-4447	66	17	is	be	AUX
cana-4447	66	18	computationally	computationally	ADV
cana-4447	66	19	efficient	efficient	ADJ
cana-4447	66	20	and	and	CCONJ
cana-4447	66	21	provides	provide	VERB
cana-4447	66	22	a	a	DET
cana-4447	66	23	real	real	ADJ
cana-4447	66	24	-	-	PUNCT
cana-4447	66	25	time	time	NOUN
cana-4447	66	26	prediction	prediction	NOUN
cana-4447	66	27	.	.	PUNCT
cana-4447	67	1	[	[	X
cana-4447	67	2	14	14	NUM
cana-4447	67	3	]	]	PUNCT
cana-4447	67	4	proposed	propose	VERB
cana-4447	67	5	the	the	DET
cana-4447	67	6	cnn	cnn	PROPN
cana-4447	67	7	with	with	ADP
cana-4447	67	8	an	an	DET
cana-4447	67	9	improved	improve	VERB
cana-4447	67	10	tree	tree	NOUN
cana-4447	67	11	seed	seed	NOUN
cana-4447	67	12	algorithm	algorithm	NOUN
cana-4447	67	13	based	base	VERB
cana-4447	67	14	on	on	ADP
cana-4447	67	15	the	the	DET
cana-4447	67	16	unified	unified	ADJ
cana-4447	67	17	deep	deep	ADJ
cana-4447	67	18	features	feature	NOUN
cana-4447	67	19	optimization	optimization	NOUN
cana-4447	67	20	feature	feature	NOUN
cana-4447	67	21	-	-	PUNCT
cana-4447	67	22	based	base	VERB
cana-4447	67	23	method	method	NOUN
cana-4447	67	24	for	for	ADP
cana-4447	67	25	human	human	ADJ
cana-4447	67	26	activity	activity	NOUN
cana-4447	67	27	classification	classification	NOUN
cana-4447	67	28	.	.	PUNCT
cana-4447	68	1	for	for	ADP
cana-4447	68	2	the	the	DET
cana-4447	68	3	implementation	implementation	NOUN
cana-4447	68	4	(	(	PUNCT
cana-4447	68	5	i	i	NOUN
cana-4447	68	6	)	)	PUNCT
cana-4447	68	7	the	the	DET
cana-4447	68	8	kth	kth	PROPN
cana-4447	68	9	dataset	dataset	NOUN
cana-4447	68	10	was	be	AUX
cana-4447	68	11	used	use	VERB
cana-4447	68	12	to	to	PART
cana-4447	68	13	recognize	recognize	VERB
cana-4447	68	14	human	human	ADJ
cana-4447	68	15	actions	action	NOUN
cana-4447	68	16	such	such	ADJ
cana-4447	68	17	as	as	ADP
cana-4447	68	18	boxing	boxing	NOUN
cana-4447	68	19	,	,	PUNCT
cana-4447	68	20	handclapping	handclapping	NOUN
cana-4447	68	21	,	,	PUNCT
cana-4447	68	22	handwaving	handwaving	NOUN
cana-4447	68	23	,	,	PUNCT
cana-4447	68	24	jogging	jogging	NOUN
cana-4447	68	25	,	,	PUNCT
cana-4447	68	26	running	run	VERB
cana-4447	68	27	,	,	PUNCT
cana-4447	68	28	and	and	CCONJ
cana-4447	68	29	walking	walk	VERB
cana-4447	68	30	with	with	ADP
cana-4447	68	31	an	an	DET
cana-4447	68	32	accuracy	accuracy	NOUN
cana-4447	68	33	of	of	ADP
cana-4447	68	34	99.6	99.6	NUM
cana-4447	68	35	%	%	NOUN
cana-4447	68	36	(	(	PUNCT
cana-4447	68	37	ii	ii	NOUN
cana-4447	68	38	)	)	PUNCT
cana-4447	68	39	the	the	DET
cana-4447	68	40	weizmann	weizmann	PROPN
cana-4447	68	41	dataset	dataset	NOUN
cana-4447	68	42	was	be	AUX
cana-4447	68	43	used	use	VERB
cana-4447	68	44	to	to	PART
cana-4447	68	45	identify	identify	VERB
cana-4447	68	46	human	human	ADJ
cana-4447	68	47	behaviors	behavior	NOUN
cana-4447	68	48	such	such	ADJ
cana-4447	68	49	as	as	ADP
cana-4447	68	50	bending	bend	VERB
cana-4447	68	51	,	,	PUNCT
cana-4447	68	52	leaping	leap	VERB
cana-4447	68	53	in	in	ADP
cana-4447	68	54	the	the	DET
cana-4447	68	55	air	air	NOUN
cana-4447	68	56	,	,	PUNCT
cana-4447	68	57	running	run	VERB
cana-4447	68	58	,	,	PUNCT
cana-4447	68	59	leaping	leap	VERB
cana-4447	68	60	forward	forward	ADV
cana-4447	68	61	,	,	PUNCT
cana-4447	68	62	galloping	gallop	VERB
cana-4447	68	63	sideways	sideways	ADV
cana-4447	68	64	,	,	PUNCT
cana-4447	68	65	strolling	stroll	VERB
cana-4447	68	66	,	,	PUNCT
cana-4447	68	67	skip	skip	ADJ
cana-4447	68	68	hopping	hop	VERB
cana-4447	68	69	,	,	PUNCT
cana-4447	68	70	waving	wave	VERB
cana-4447	68	71	one	one	NUM
cana-4447	68	72	hand	hand	NOUN
cana-4447	68	73	,	,	PUNCT
cana-4447	68	74	and	and	CCONJ
cana-4447	68	75	waving	wave	VERB
cana-4447	68	76	both	both	DET
cana-4447	68	77	hands	hand	NOUN
cana-4447	68	78	.	.	PUNCT
cana-4447	69	1	the	the	DET
cana-4447	69	2	stated	state	VERB
cana-4447	69	3	accuracy	accuracy	NOUN
cana-4447	69	4	is	be	AUX
cana-4447	69	5	98.1	98.1	NUM
cana-4447	69	6	%	%	NOUN
cana-4447	69	7	(	(	PUNCT
cana-4447	69	8	iii	iii	NOUN
cana-4447	69	9	)	)	PUNCT
cana-4447	69	10	the	the	DET
cana-4447	69	11	utinteraction	utinteraction	NOUN
cana-4447	69	12	dataset	dataset	NOUN
cana-4447	69	13	was	be	AUX
cana-4447	69	14	tested	test	VERB
cana-4447	69	15	to	to	PART
cana-4447	69	16	recognize	recognize	VERB
cana-4447	69	17	human	human	ADJ
cana-4447	69	18	actions	action	NOUN
cana-4447	69	19	such	such	ADJ
cana-4447	69	20	as	as	ADP
cana-4447	69	21	pushing	push	VERB
cana-4447	69	22	,	,	PUNCT
cana-4447	69	23	pointing	pointing	NOUN
cana-4447	69	24	,	,	PUNCT
cana-4447	69	25	kicking	kicking	NOUN
cana-4447	69	26	,	,	PUNCT
cana-4447	69	27	punching	punching	NOUN
cana-4447	69	28	,	,	PUNCT
cana-4447	69	29	handshaking	handshaking	NOUN
cana-4447	69	30	,	,	PUNCT
cana-4447	69	31	and	and	CCONJ
cana-4447	69	32	hugging	hug	VERB
cana-4447	69	33	.	.	PUNCT
cana-4447	70	1	the	the	DET
cana-4447	70	2	stated	state	VERB
cana-4447	70	3	accuracy	accuracy	NOUN
cana-4447	70	4	is	be	AUX
cana-4447	70	5	100	100	NUM
cana-4447	70	6	%	%	NOUN
cana-4447	70	7	(	(	PUNCT
cana-4447	70	8	iv	iv	X
cana-4447	70	9	)	)	PUNCT
cana-4447	70	10	the	the	DET
cana-4447	70	11	hollywood	hollywood	NOUN
cana-4447	70	12	dataset	dataset	NOUN
cana-4447	70	13	was	be	AUX
cana-4447	70	14	used	use	VERB
cana-4447	70	15	to	to	PART
cana-4447	70	16	recognize	recognize	VERB
cana-4447	70	17	human	human	ADJ
cana-4447	70	18	activities	activity	NOUN
cana-4447	70	19	such	such	ADJ
cana-4447	70	20	as	as	ADP
cana-4447	70	21	answerphone	answerphone	NOUN
cana-4447	70	22	,	,	PUNCT
cana-4447	70	23	getoutcar	getoutcar	NOUN
cana-4447	70	24	,	,	PUNCT
cana-4447	70	25	handshake	handshake	ADJ
cana-4447	70	26	,	,	PUNCT
cana-4447	70	27	hugperson	hugperson	NOUN
cana-4447	70	28	,	,	PUNCT
cana-4447	70	29	kiss	kiss	PROPN
cana-4447	70	30	,	,	PUNCT
cana-4447	70	31	sitdown	sitdown	NOUN
cana-4447	70	32	,	,	PUNCT
cana-4447	70	33	situp	situp	NOUN
cana-4447	70	34	,	,	PUNCT
cana-4447	70	35	and	and	CCONJ
cana-4447	70	36	standup	standup	NOUN
cana-4447	70	37	.	.	PUNCT
cana-4447	71	1	the	the	DET
cana-4447	71	2	accuracy	accuracy	NOUN
cana-4447	71	3	recorded	record	VERB
cana-4447	71	4	99.8	99.8	NUM
cana-4447	71	5	%	%	NOUN
cana-4447	71	6	.	.	PUNCT
cana-4447	72	1	(	(	PUNCT
cana-4447	72	2	iv	iv	X
cana-4447	72	3	)	)	PUNCT
cana-4447	72	4	the	the	DET
cana-4447	72	5	ixmas	ixma	NOUN
cana-4447	72	6	dataset	dataset	VERB
cana-4447	72	7	was	be	AUX
cana-4447	72	8	employed	employ	VERB
cana-4447	72	9	to	to	PART
cana-4447	72	10	identify	identify	VERB
cana-4447	72	11	human	human	ADJ
cana-4447	72	12	activities	activity	NOUN
cana-4447	72	13	such	such	ADJ
cana-4447	72	14	as	as	ADP
cana-4447	72	15	checkwatch	checkwatch	NOUN
cana-4447	72	16	,	,	PUNCT
cana-4447	72	17	crossarms	crossarm	NOUN
cana-4447	72	18	,	,	PUNCT
cana-4447	72	19	scratchedhead	scratchedhead	NOUN
cana-4447	72	20	,	,	PUNCT
cana-4447	72	21	sitdown	sitdown	NOUN
cana-4447	72	22	,	,	PUNCT
cana-4447	72	23	getup	getup	NOUN
cana-4447	72	24	,	,	PUNCT
cana-4447	72	25	turnaround	turnaround	NOUN
cana-4447	72	26	,	,	PUNCT
cana-4447	72	27	walk	walk	VERB
cana-4447	72	28	,	,	PUNCT
cana-4447	72	29	wave	wave	NOUN
cana-4447	72	30	,	,	PUNCT
cana-4447	72	31	puch	puch	PROPN
cana-4447	72	32	,	,	PUNCT
cana-4447	72	33	kick	kick	VERB
cana-4447	72	34	,	,	PUNCT
cana-4447	72	35	and	and	CCONJ
cana-4447	72	36	pickup	pickup	NOUN
cana-4447	72	37	.	.	PUNCT
cana-4447	73	1	the	the	DET
cana-4447	73	2	stated	state	VERB
cana-4447	73	3	accuracy	accuracy	NOUN
cana-4447	73	4	is	be	AUX
cana-4447	73	5	97.5	97.5	NUM
cana-4447	73	6	%	%	NOUN
cana-4447	73	7	.	.	PUNCT
cana-4447	74	1	[	[	X
cana-4447	74	2	15	15	NUM
cana-4447	74	3	]	]	PUNCT
cana-4447	74	4	offered	offer	VERB
cana-4447	74	5	the	the	DET
cana-4447	74	6	convlstm	convlstm	NOUN
cana-4447	74	7	method	method	NOUN
cana-4447	74	8	,	,	PUNCT
cana-4447	74	9	long	long	ADJ
cana-4447	74	10	-	-	PUNCT
cana-4447	74	11	term	term	NOUN
cana-4447	74	12	recurrent	recurrent	ADJ
cana-4447	74	13	convolutional	convolutional	ADJ
cana-4447	74	14	network	network	NOUN
cana-4447	74	15	(	(	PUNCT
cana-4447	74	16	lrcn	lrcn	PROPN
cana-4447	74	17	)	)	PUNCT
cana-4447	74	18	algorithm	algorithm	NOUN
cana-4447	74	19	,	,	PUNCT
cana-4447	74	20	and	and	CCONJ
cana-4447	74	21	cnn	cnn	PROPN
cana-4447	74	22	model	model	NOUN
cana-4447	74	23	based	base	VERB
cana-4447	74	24	on	on	ADP
cana-4447	74	25	a	a	DET
cana-4447	74	26	feature	feature	NOUN
cana-4447	74	27	-	-	PUNCT
cana-4447	74	28	based	base	VERB
cana-4447	74	29	method	method	NOUN
cana-4447	74	30	to	to	PART
cana-4447	74	31	recognize	recognize	VERB
cana-4447	74	32	baseball	baseball	NOUN
cana-4447	74	33	pitch	pitch	NOUN
cana-4447	74	34	,	,	PUNCT
cana-4447	74	35	basketball	basketball	NOUN
cana-4447	74	36	shooting	shooting	NOUN
cana-4447	74	37	,	,	PUNCT
cana-4447	74	38	bench	bench	NOUN
cana-4447	74	39	press	press	NOUN
cana-4447	74	40	,	,	PUNCT
cana-4447	74	41	biking	biking	NOUN
cana-4447	74	42	,	,	PUNCT
cana-4447	74	43	billiards	billiard	NOUN
cana-4447	74	44	shot	shot	VERB
cana-4447	74	45	,	,	PUNCT
cana-4447	74	46	clean	clean	ADJ
cana-4447	74	47	and	and	CCONJ
cana-4447	74	48	jerk	jerk	NOUN
cana-4447	74	49	,	,	PUNCT
cana-4447	74	50	diving	diving	NOUN
cana-4447	74	51	,	,	PUNCT
cana-4447	74	52	drumming	drum	VERB
cana-4447	74	53	,	,	PUNCT
cana-4447	74	54	fencing	fencing	NOUN
cana-4447	74	55	,	,	PUNCT
cana-4447	74	56	golf	golf	NOUN
cana-4447	74	57	swing	swing	NOUN
cana-4447	74	58	,	,	PUNCT
cana-4447	74	59	and	and	CCONJ
cana-4447	74	60	other	other	ADJ
cana-4447	74	61	human	human	ADJ
cana-4447	74	62	activities	activity	NOUN
cana-4447	74	63	in	in	ADP
cana-4447	74	64	the	the	DET
cana-4447	74	65	ucf50	ucf50	PROPN
cana-4447	74	66	and	and	CCONJ
cana-4447	74	67	hmdb51	hmdb51	PROPN
cana-4447	74	68	datasets	dataset	NOUN
cana-4447	74	69	,	,	PUNCT
cana-4447	74	70	respectively	respectively	ADV
cana-4447	74	71	.	.	PUNCT
cana-4447	75	1	the	the	DET
cana-4447	75	2	convlstm	convlstm	NOUN
cana-4447	75	3	approach	approach	NOUN
cana-4447	75	4	was	be	AUX
cana-4447	75	5	applied	apply	VERB
cana-4447	75	6	to	to	ADP
cana-4447	75	7	the	the	DET
cana-4447	75	8	ucf50	ucf50	PROPN
cana-4447	75	9	and	and	CCONJ
cana-4447	75	10	hmdb51	hmdb51	NOUN
cana-4447	75	11	datasets	dataset	NOUN
cana-4447	75	12	to	to	PART
cana-4447	75	13	recognize	recognize	VERB
cana-4447	75	14	human	human	ADJ
cana-4447	75	15	activity	activity	NOUN
cana-4447	75	16	(	(	PUNCT
cana-4447	75	17	ha	ha	INTJ
cana-4447	75	18	)	)	PUNCT
cana-4447	75	19	,	,	PUNCT
cana-4447	75	20	with	with	ADP
cana-4447	75	21	accuracies	accuracy	NOUN
cana-4447	75	22	of	of	ADP
cana-4447	75	23	82	82	NUM
cana-4447	75	24	%	%	NOUN
cana-4447	75	25	and	and	CCONJ
cana-4447	75	26	68	68	NUM
cana-4447	75	27	%	%	NOUN
cana-4447	75	28	,	,	PUNCT
cana-4447	75	29	respectively	respectively	ADV
cana-4447	75	30	.	.	PUNCT
cana-4447	76	1	to	to	PART
cana-4447	76	2	recognize	recognize	VERB
cana-4447	76	3	ha	ha	INTJ
cana-4447	76	4	,	,	PUNCT
cana-4447	76	5	the	the	DET
cana-4447	76	6	lrcn	lrcn	PROPN
cana-4447	76	7	method	method	NOUN
cana-4447	76	8	was	be	AUX
cana-4447	76	9	used	use	VERB
cana-4447	76	10	for	for	ADP
cana-4447	76	11	the	the	DET
cana-4447	76	12	ucf50	ucf50	PROPN
cana-4447	76	13	and	and	CCONJ
cana-4447	76	14	hmdb51	hmdb51	PROPN
cana-4447	76	15	datasets	dataset	NOUN
cana-4447	76	16	,	,	PUNCT
cana-4447	76	17	which	which	PRON
cana-4447	76	18	yielded	yield	VERB
cana-4447	76	19	accuracies	accuracy	NOUN
cana-4447	76	20	of	of	ADP
cana-4447	76	21	93.44	93.44	NUM
cana-4447	76	22	%	%	NOUN
cana-4447	76	23	and	and	CCONJ
cana-4447	76	24	71.55	71.55	NUM
cana-4447	76	25	%	%	NOUN
cana-4447	76	26	,	,	PUNCT
cana-4447	76	27	respectively	respectively	ADV
cana-4447	76	28	.	.	PUNCT
cana-4447	77	1	the	the	DET
cana-4447	77	2	cnn	cnn	PROPN
cana-4447	77	3	model	model	NOUN
cana-4447	77	4	was	be	AUX
cana-4447	77	5	applied	apply	VERB
cana-4447	77	6	to	to	ADP
cana-4447	77	7	the	the	DET
cana-4447	77	8	ucf50	ucf50	PROPN
cana-4447	77	9	and	and	CCONJ
cana-4447	77	10	hmdb51	hmdb51	NOUN
cana-4447	77	11	datasets	dataset	NOUN
cana-4447	77	12	to	to	PART
cana-4447	77	13	recognize	recognize	VERB
cana-4447	77	14	ha	ha	INTJ
cana-4447	77	15	,	,	PUNCT
cana-4447	77	16	with	with	ADP
cana-4447	77	17	accuracies	accuracy	NOUN
cana-4447	77	18	of	of	ADP
cana-4447	77	19	99.58	99.58	NUM
cana-4447	77	20	%	%	NOUN
cana-4447	77	21	and	and	CCONJ
cana-4447	77	22	92.70	92.70	NUM
cana-4447	77	23	%	%	NOUN
cana-4447	77	24	,	,	PUNCT
cana-4447	77	25	respectively	respectively	ADV
cana-4447	77	26	.	.	PUNCT
cana-4447	78	1	the	the	DET
cana-4447	78	2	cnn	cnn	PROPN
cana-4447	78	3	model	model	NOUN
cana-4447	78	4	using	use	VERB
cana-4447	78	5	the	the	DET
cana-4447	78	6	ucf50	ucf50	PROPN
cana-4447	78	7	dataset	dataset	NOUN
cana-4447	78	8	achieved	achieve	VERB
cana-4447	78	9	the	the	DET
cana-4447	78	10	highest	high	ADJ
cana-4447	78	11	accuracy	accuracy	NOUN
cana-4447	78	12	of	of	ADP
cana-4447	78	13	99.58	99.58	NUM
cana-4447	78	14	%	%	NOUN
cana-4447	78	15	.	.	PUNCT
cana-4447	79	1	[	[	X
cana-4447	79	2	18	18	NUM
cana-4447	79	3	]	]	PUNCT
cana-4447	79	4	investigates	investigate	VERB
cana-4447	79	5	the	the	DET
cana-4447	79	6	use	use	NOUN
cana-4447	79	7	of	of	ADP
cana-4447	79	8	multi	multi	ADJ
cana-4447	79	9	-	-	NOUN
cana-4447	79	10	task	task	ADJ
cana-4447	79	11	learning	learning	NOUN
cana-4447	79	12	by	by	ADP
cana-4447	79	13	simultaneously	simultaneously	ADV
cana-4447	79	14	predicting	predict	VERB
cana-4447	79	15	the	the	DET
cana-4447	79	16	next	next	ADJ
cana-4447	79	17	activity	activity	NOUN
cana-4447	79	18	and	and	CCONJ
cana-4447	79	19	the	the	DET
cana-4447	79	20	timestamp	timestamp	NOUN
cana-4447	79	21	of	of	ADP
cana-4447	79	22	the	the	DET
cana-4447	79	23	next	next	ADJ
cana-4447	79	24	event	event	NOUN
cana-4447	79	25	,	,	PUNCT
cana-4447	79	26	and	and	CCONJ
cana-4447	79	27	examines	examine	VERB
cana-4447	79	28	lstm	lstm	ADJ
cana-4447	79	29	neural	neural	ADJ
cana-4447	79	30	networks	network	NOUN
cana-4447	79	31	for	for	ADP
cana-4447	79	32	forecasting	forecast	VERB
cana-4447	79	33	the	the	DET
cana-4447	79	34	immediate	immediate	ADJ
cana-4447	79	35	next	next	ADJ
cana-4447	79	36	occurrence	occurrence	NOUN
cana-4447	79	37	.	.	PUNCT
cana-4447	80	1	a	a	DET
cana-4447	80	2	variety	variety	NOUN
cana-4447	80	3	of	of	ADP
cana-4447	80	4	sequence	sequence	NOUN
cana-4447	80	5	prediction	prediction	NOUN
cana-4447	80	6	methods	method	NOUN
cana-4447	80	7	,	,	PUNCT
cana-4447	80	8	including	include	VERB
cana-4447	80	9	distributed	distribute	VERB
cana-4447	80	10	generator	generator	NOUN
cana-4447	80	11	(	(	PUNCT
cana-4447	80	12	dg	dg	PROPN
cana-4447	80	13	)	)	PUNCT
cana-4447	80	14	,	,	PUNCT
cana-4447	80	15	all	all	PROPN
cana-4447	80	16	-	-	PUNCT
cana-4447	80	17	k	k	ADJ
cana-4447	80	18	order	order	NOUN
cana-4447	80	19	markov	markov	NOUN
cana-4447	80	20	(	(	PUNCT
cana-4447	80	21	akom	akom	NOUN
cana-4447	80	22	)	)	PUNCT
cana-4447	80	23	,	,	PUNCT
cana-4447	80	24	long	long	ADJ
cana-4447	80	25	short	short	ADJ
cana-4447	80	26	-	-	PUNCT
cana-4447	80	27	term	term	NOUN
cana-4447	80	28	memory	memory	NOUN
cana-4447	80	29	(	(	PUNCT
cana-4447	80	30	lstm	lstm	NOUN
cana-4447	80	31	)	)	PUNCT
cana-4447	80	32	,	,	PUNCT
cana-4447	80	33	and	and	CCONJ
cana-4447	80	34	prediction	prediction	NOUN
cana-4447	80	35	by	by	ADP
cana-4447	80	36	partial	partial	ADJ
cana-4447	80	37	communications	communication	NOUN
cana-4447	80	38	on	on	ADP
cana-4447	80	39	applied	apply	VERB
cana-4447	80	40	nonlinear	nonlinear	ADJ
cana-4447	80	41	analysis	analysis	NOUN
cana-4447	80	42	issn	issn	NOUN
cana-4447	80	43	:	:	PUNCT
cana-4447	80	44	1074	1074	NUM
cana-4447	80	45	-	-	PUNCT
cana-4447	80	46	133x	133x	NUM
cana-4447	80	47	vol	vol	NOUN
cana-4447	80	48	32	32	NUM
cana-4447	80	49	no	no	NOUN
cana-4447	80	50	.	.	PUNCT
cana-4447	81	1	9s	9s	NUM
cana-4447	81	2	(	(	PUNCT
cana-4447	81	3	2025	2025	NUM
cana-4447	81	4	)	)	PUNCT
cana-4447	81	5	2053	2053	NUM
cana-4447	81	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-4447	81	7	matching	matching	NOUN
cana-4447	81	8	(	(	PUNCT
cana-4447	81	9	ppm	ppm	NOUN
cana-4447	81	10	)	)	PUNCT
cana-4447	81	11	,	,	PUNCT
cana-4447	81	12	were	be	AUX
cana-4447	81	13	tested	test	VERB
cana-4447	81	14	on	on	ADP
cana-4447	81	15	a	a	DET
cana-4447	81	16	set	set	NOUN
cana-4447	81	17	of	of	ADP
cana-4447	81	18	publicly	publicly	ADV
cana-4447	81	19	accessible	accessible	ADJ
cana-4447	81	20	real	real	ADJ
cana-4447	81	21	-	-	PUNCT
cana-4447	81	22	world	world	NOUN
cana-4447	81	23	datasets	dataset	NOUN
cana-4447	81	24	from	from	ADP
cana-4447	81	25	the	the	DET
cana-4447	81	26	smart	smart	ADJ
cana-4447	81	27	home	home	NOUN
cana-4447	81	28	environment	environment	NOUN
cana-4447	81	29	sector	sector	NOUN
cana-4447	81	30	.	.	PUNCT
cana-4447	82	1	[	[	X
cana-4447	82	2	19	19	NUM
cana-4447	82	3	]	]	PUNCT
cana-4447	82	4	provides	provide	VERB
cana-4447	82	5	a	a	DET
cana-4447	82	6	paradigm	paradigm	NOUN
cana-4447	82	7	for	for	ADP
cana-4447	82	8	recognizing	recognize	VERB
cana-4447	82	9	and	and	CCONJ
cana-4447	82	10	predicting	predict	VERB
cana-4447	82	11	human	human	ADJ
cana-4447	82	12	activity	activity	NOUN
cana-4447	82	13	.	.	PUNCT
cana-4447	83	1	the	the	DET
cana-4447	83	2	framework	framework	NOUN
cana-4447	83	3	consists	consist	VERB
cana-4447	83	4	of	of	ADP
cana-4447	83	5	three	three	NUM
cana-4447	83	6	stages	stage	NOUN
cana-4447	83	7	:	:	PUNCT
cana-4447	83	8	recognition	recognition	NOUN
cana-4447	83	9	after	after	ADP
cana-4447	83	10	the	the	DET
cana-4447	83	11	action	action	NOUN
cana-4447	83	12	,	,	PUNCT
cana-4447	83	13	recognition	recognition	NOUN
cana-4447	83	14	in	in	ADP
cana-4447	83	15	progress	progress	NOUN
cana-4447	83	16	,	,	PUNCT
cana-4447	83	17	and	and	CCONJ
cana-4447	83	18	activity	activity	NOUN
cana-4447	83	19	prediction	prediction	NOUN
cana-4447	83	20	in	in	ADP
cana-4447	83	21	advance	advance	NOUN
cana-4447	83	22	via	via	ADP
cana-4447	83	23	passive	passive	ADJ
cana-4447	83	24	radio	radio	NOUN
cana-4447	83	25	-	-	PUNCT
cana-4447	83	26	frequency	frequency	NOUN
cana-4447	83	27	identification	identification	NOUN
cana-4447	83	28	(	(	PUNCT
cana-4447	83	29	rfid	rfid	NOUN
cana-4447	83	30	)	)	PUNCT
cana-4447	83	31	tags	tag	NOUN
cana-4447	83	32	.	.	PUNCT
cana-4447	84	1	the	the	DET
cana-4447	84	2	experimental	experimental	ADJ
cana-4447	84	3	result	result	NOUN
cana-4447	84	4	demonstrates	demonstrate	VERB
cana-4447	84	5	good	good	ADJ
cana-4447	84	6	performance	performance	NOUN
cana-4447	84	7	in	in	ADP
cana-4447	84	8	both	both	DET
cana-4447	84	9	activity	activity	NOUN
cana-4447	84	10	recognition	recognition	NOUN
cana-4447	84	11	and	and	CCONJ
cana-4447	84	12	prediction	prediction	NOUN
cana-4447	84	13	with	with	ADP
cana-4447	84	14	high	high	ADJ
cana-4447	84	15	scalability	scalability	NOUN
cana-4447	84	16	.	.	PUNCT
cana-4447	85	1	[	[	X
cana-4447	85	2	10	10	NUM
cana-4447	85	3	]	]	PUNCT
cana-4447	85	4	introduced	introduce	VERB
cana-4447	85	5	a	a	DET
cana-4447	85	6	system	system	NOUN
cana-4447	85	7	for	for	ADP
cana-4447	85	8	identifying	identify	VERB
cana-4447	85	9	human	human	ADJ
cana-4447	85	10	activity	activity	NOUN
cana-4447	85	11	that	that	PRON
cana-4447	85	12	uses	use	VERB
cana-4447	85	13	algorithms	algorithm	NOUN
cana-4447	85	14	and	and	CCONJ
cana-4447	85	15	a	a	DET
cana-4447	85	16	skeleton	skeleton	NOUN
cana-4447	85	17	-	-	PUNCT
cana-4447	85	18	based	base	VERB
cana-4447	85	19	mediapipe	mediapipe	NOUN
cana-4447	85	20	method	method	NOUN
cana-4447	85	21	to	to	PART
cana-4447	85	22	determine	determine	VERB
cana-4447	85	23	posture	posture	NOUN
cana-4447	85	24	.	.	PUNCT
cana-4447	86	1	it	it	PRON
cana-4447	86	2	utilizes	utilize	VERB
cana-4447	86	3	classifiers	classifier	NOUN
cana-4447	86	4	including	include	VERB
cana-4447	86	5	gradient	gradient	NOUN
cana-4447	86	6	boosting	boost	VERB
cana-4447	86	7	(	(	PUNCT
cana-4447	86	8	gb	gb	NOUN
cana-4447	86	9	)	)	PUNCT
cana-4447	86	10	,	,	PUNCT
cana-4447	86	11	random	random	ADJ
cana-4447	86	12	forest	forest	NOUN
cana-4447	86	13	(	(	PUNCT
cana-4447	86	14	rf	rf	NOUN
cana-4447	86	15	)	)	PUNCT
cana-4447	86	16	,	,	PUNCT
cana-4447	86	17	ridge	ridge	NOUN
cana-4447	86	18	regression	regression	PROPN
cana-4447	86	19	(	(	PUNCT
cana-4447	86	20	rr	rr	NOUN
cana-4447	86	21	)	)	PUNCT
cana-4447	86	22	,	,	PUNCT
cana-4447	86	23	and	and	CCONJ
cana-4447	86	24	logistic	logistic	ADJ
cana-4447	86	25	regression	regression	NOUN
cana-4447	86	26	(	(	PUNCT
cana-4447	86	27	lr	lr	NOUN
cana-4447	86	28	)	)	PUNCT
cana-4447	86	29	to	to	PART
cana-4447	86	30	recognize	recognize	VERB
cana-4447	86	31	namaste	namaste	PROPN
cana-4447	86	32	,	,	PUNCT
cana-4447	86	33	standing	stand	VERB
cana-4447	86	34	,	,	PUNCT
cana-4447	86	35	bending	bend	VERB
cana-4447	86	36	down	down	ADP
cana-4447	86	37	,	,	PUNCT
cana-4447	86	38	and	and	CCONJ
cana-4447	86	39	raising	raise	VERB
cana-4447	86	40	both	both	DET
cana-4447	86	41	hands	hand	NOUN
cana-4447	86	42	and	and	CCONJ
cana-4447	86	43	,	,	PUNCT
cana-4447	86	44	types	type	NOUN
cana-4447	86	45	of	of	ADP
cana-4447	86	46	activities	activity	NOUN
cana-4447	86	47	with	with	ADP
cana-4447	86	48	98	98	NUM
cana-4447	86	49	%	%	NOUN
cana-4447	86	50	accuracy	accuracy	NOUN
cana-4447	86	51	.	.	PUNCT
cana-4447	87	1	[	[	X
cana-4447	87	2	20	20	NUM
cana-4447	87	3	]	]	PUNCT
cana-4447	87	4	adopted	adopt	VERB
cana-4447	87	5	a	a	DET
cana-4447	87	6	novel	novel	ADJ
cana-4447	87	7	attentionmechanism	attentionmechanism	NOUN
cana-4447	87	8	-	-	PUNCT
cana-4447	87	9	based	base	VERB
cana-4447	87	10	deep	deep	ADJ
cana-4447	87	11	learning	learning	NOUN
cana-4447	87	12	feature	feature	NOUN
cana-4447	87	13	combination	combination	NOUN
cana-4447	87	14	(	(	PUNCT
cana-4447	87	15	am	am	NOUN
cana-4447	87	16	-	-	PUNCT
cana-4447	87	17	dlfc	dlfc	NOUN
cana-4447	87	18	)	)	PUNCT
cana-4447	87	19	model	model	NOUN
cana-4447	87	20	for	for	ADP
cana-4447	87	21	har	har	NOUN
cana-4447	87	22	,	,	PUNCT
cana-4447	87	23	and	and	CCONJ
cana-4447	87	24	utilized	utilize	VERB
cana-4447	87	25	cnn	cnn	PROPN
cana-4447	87	26	.	.	PUNCT
cana-4447	88	1	the	the	DET
cana-4447	88	2	am	am	NOUN
cana-4447	88	3	-	-	PUNCT
cana-4447	88	4	dlfc	dlfc	ADJ
cana-4447	88	5	model	model	NOUN
cana-4447	88	6	accurately	accurately	ADV
cana-4447	88	7	classified	classify	VERB
cana-4447	88	8	the	the	DET
cana-4447	88	9	run	run	NOUN
cana-4447	88	10	,	,	PUNCT
cana-4447	88	11	pick	pick	VERB
cana-4447	88	12	,	,	PUNCT
cana-4447	88	13	and	and	CCONJ
cana-4447	88	14	sit	sit	VERB
cana-4447	88	15	-	-	PUNCT
cana-4447	88	16	up	up	ADP
cana-4447	88	17	activities	activity	NOUN
cana-4447	88	18	.	.	PUNCT
cana-4447	89	1	the	the	DET
cana-4447	89	2	performance	performance	NOUN
cana-4447	89	3	is	be	AUX
cana-4447	89	4	assessed	assess	VERB
cana-4447	89	5	on	on	ADP
cana-4447	89	6	the	the	DET
cana-4447	89	7	1	1	NUM
cana-4447	89	8	)	)	PUNCT
cana-4447	89	9	khulna	khulna	PROPN
cana-4447	89	10	university	university	PROPN
cana-4447	89	11	(	(	PUNCT
cana-4447	89	12	ku)-har	ku)-har	PROPN
cana-4447	89	13	dataset	dataset	VERB
cana-4447	89	14	with	with	ADP
cana-4447	89	15	an	an	DET
cana-4447	89	16	accuracy	accuracy	NOUN
cana-4447	89	17	of	of	ADP
cana-4447	89	18	97	97	NUM
cana-4447	89	19	%	%	NOUN
cana-4447	89	20	,	,	PUNCT
cana-4447	89	21	2	2	X
cana-4447	89	22	)	)	PUNCT
cana-4447	89	23	the	the	DET
cana-4447	89	24	university	university	PROPN
cana-4447	89	25	of	of	ADP
cana-4447	89	26	california	california	PROPN
cana-4447	89	27	irvine	irvine	PROPN
cana-4447	89	28	(	(	PUNCT
cana-4447	89	29	uci)-har	uci)-har	INTJ
cana-4447	89	30	dataset	dataset	VERB
cana-4447	89	31	with	with	ADP
cana-4447	89	32	an	an	DET
cana-4447	89	33	accuracy	accuracy	NOUN
cana-4447	89	34	of	of	ADP
cana-4447	89	35	94.25	94.25	NUM
cana-4447	89	36	%	%	NOUN
cana-4447	89	37	,	,	PUNCT
cana-4447	89	38	and	and	CCONJ
cana-4447	89	39	3	3	X
cana-4447	89	40	)	)	PUNCT
cana-4447	89	41	the	the	DET
cana-4447	89	42	wisdm	wisdm	NOUN
cana-4447	89	43	dataset	dataset	VERB
cana-4447	89	44	with	with	ADP
cana-4447	89	45	an	an	DET
cana-4447	89	46	accuracy	accuracy	NOUN
cana-4447	89	47	of	of	ADP
cana-4447	89	48	94.26	94.26	NUM
cana-4447	89	49	%	%	NOUN
cana-4447	89	50	.	.	PUNCT
cana-4447	90	1	[	[	X
cana-4447	90	2	23	23	NUM
cana-4447	90	3	]	]	PUNCT
cana-4447	90	4	presented	present	VERB
cana-4447	90	5	a	a	DET
cana-4447	90	6	unique	unique	ADJ
cana-4447	90	7	fusion	fusion	NOUN
cana-4447	90	8	approach	approach	NOUN
cana-4447	90	9	using	use	VERB
cana-4447	90	10	the	the	DET
cana-4447	90	11	skeleton	skeleton	NOUN
cana-4447	90	12	-	-	PUNCT
cana-4447	90	13	based	base	VERB
cana-4447	90	14	method	method	NOUN
cana-4447	90	15	for	for	ADP
cana-4447	90	16	combining	combine	VERB
cana-4447	90	17	multi	multi	ADJ
cana-4447	90	18	-	-	ADJ
cana-4447	90	19	view	view	ADJ
cana-4447	90	20	skeletal	skeletal	ADJ
cana-4447	90	21	data	datum	NOUN
cana-4447	90	22	to	to	PART
cana-4447	90	23	obtain	obtain	VERB
cana-4447	90	24	accurate	accurate	ADJ
cana-4447	90	25	human	human	ADJ
cana-4447	90	26	posture	posture	NOUN
cana-4447	90	27	data	datum	NOUN
cana-4447	90	28	.	.	PUNCT
cana-4447	91	1	the	the	DET
cana-4447	91	2	public	public	ADJ
cana-4447	91	3	dataset	dataset	VERB
cana-4447	91	4	functional	functional	ADJ
cana-4447	91	5	movement	movement	NOUN
cana-4447	91	6	screen	screen	NOUN
cana-4447	91	7	(	(	PUNCT
cana-4447	91	8	fms	fms	PROPN
cana-4447	91	9	)	)	PUNCT
cana-4447	91	10	was	be	AUX
cana-4447	91	11	used	use	VERB
cana-4447	91	12	to	to	PART
cana-4447	91	13	train	train	VERB
cana-4447	91	14	sophisticated	sophisticated	ADJ
cana-4447	91	15	algorithms	algorithm	NOUN
cana-4447	91	16	for	for	ADP
cana-4447	91	17	recognizing	recognize	VERB
cana-4447	91	18	human	human	ADJ
cana-4447	91	19	posture	posture	NOUN
cana-4447	91	20	.	.	PUNCT
cana-4447	92	1	a	a	DET
cana-4447	92	2	new	new	ADJ
cana-4447	92	3	fusion	fusion	NOUN
cana-4447	92	4	technique	technique	NOUN
cana-4447	92	5	compared	compare	VERB
cana-4447	92	6	to	to	ADP
cana-4447	92	7	other	other	ADJ
cana-4447	92	8	spatial	spatial	ADJ
cana-4447	92	9	temporal	temporal	ADJ
cana-4447	92	10	-	-	PUNCT
cana-4447	92	11	graph	graph	NOUN
cana-4447	92	12	convolutional	convolutional	ADJ
cana-4447	92	13	network	network	NOUN
cana-4447	92	14	(	(	PUNCT
cana-4447	92	15	st	st	NOUN
cana-4447	92	16	-	-	PUNCT
cana-4447	92	17	gcn	gcn	NOUN
cana-4447	92	18	)	)	PUNCT
cana-4447	92	19	models	model	NOUN
cana-4447	92	20	;	;	PUNCT
cana-4447	92	21	the	the	DET
cana-4447	92	22	2stwo	2stwo	NUM
cana-4447	92	23	streamadaptive	streamadaptive	ADJ
cana-4447	92	24	graph	graph	NOUN
cana-4447	92	25	convolutional	convolutional	ADJ
cana-4447	92	26	network	network	NOUN
cana-4447	92	27	(	(	PUNCT
cana-4447	92	28	agcn	agcn	PROPN
cana-4447	92	29	)	)	PUNCT
cana-4447	92	30	method	method	PROPN
cana-4447	92	31	's	's	PART
cana-4447	92	32	experimental	experimental	ADJ
cana-4447	92	33	findings	finding	NOUN
cana-4447	92	34	yield	yield	VERB
cana-4447	92	35	a	a	DET
cana-4447	92	36	higher	high	ADJ
cana-4447	92	37	accuracy	accuracy	NOUN
cana-4447	92	38	of	of	ADP
cana-4447	92	39	98.2	98.2	NUM
cana-4447	92	40	%	%	NOUN
cana-4447	92	41	.	.	PUNCT
cana-4447	93	1	a	a	DET
cana-4447	93	2	variety	variety	NOUN
cana-4447	93	3	of	of	ADP
cana-4447	93	4	machine	machine	NOUN
cana-4447	93	5	learning	learning	NOUN
cana-4447	93	6	(	(	PUNCT
cana-4447	93	7	ml	ml	NOUN
cana-4447	93	8	)	)	PUNCT
cana-4447	93	9	and	and	CCONJ
cana-4447	93	10	deep	deep	ADJ
cana-4447	93	11	learning	learning	NOUN
cana-4447	93	12	(	(	PUNCT
cana-4447	93	13	dl	dl	NOUN
cana-4447	93	14	)	)	PUNCT
cana-4447	93	15	techniques	technique	NOUN
cana-4447	93	16	have	have	AUX
cana-4447	93	17	been	be	AUX
cana-4447	93	18	documented	document	VERB
cana-4447	93	19	in	in	ADP
cana-4447	93	20	the	the	DET
cana-4447	93	21	literature	literature	NOUN
cana-4447	93	22	for	for	ADP
cana-4447	93	23	human	human	ADJ
cana-4447	93	24	detection	detection	NOUN
cana-4447	93	25	,	,	PUNCT
cana-4447	93	26	tracking	tracking	NOUN
cana-4447	93	27	,	,	PUNCT
cana-4447	93	28	human	human	ADJ
cana-4447	93	29	activity	activity	NOUN
cana-4447	93	30	recognition	recognition	NOUN
cana-4447	93	31	(	(	PUNCT
cana-4447	93	32	har	har	NOUN
cana-4447	93	33	)	)	PUNCT
cana-4447	93	34	,	,	PUNCT
cana-4447	93	35	and	and	CCONJ
cana-4447	93	36	human	human	ADJ
cana-4447	93	37	activity	activity	NOUN
cana-4447	93	38	prediction	prediction	NOUN
cana-4447	93	39	(	(	PUNCT
cana-4447	93	40	hap	hap	NOUN
cana-4447	93	41	)	)	PUNCT
cana-4447	93	42	across	across	ADP
cana-4447	93	43	different	different	ADJ
cana-4447	93	44	applications	application	NOUN
cana-4447	93	45	.	.	PUNCT
cana-4447	94	1	the	the	DET
cana-4447	94	2	current	current	ADJ
cana-4447	94	3	approaches	approach	NOUN
cana-4447	94	4	employ	employ	VERB
cana-4447	94	5	skeleton	skeleton	NOUN
cana-4447	94	6	-	-	PUNCT
cana-4447	94	7	based	base	VERB
cana-4447	94	8	and	and	CCONJ
cana-4447	94	9	feature	feature	NOUN
cana-4447	94	10	-	-	PUNCT
cana-4447	94	11	based	base	VERB
cana-4447	94	12	techniques	technique	NOUN
cana-4447	94	13	.	.	PUNCT
cana-4447	95	1	existing	exist	VERB
cana-4447	95	2	method	method	NOUN
cana-4447	95	3	implementations	implementation	NOUN
cana-4447	95	4	have	have	AUX
cana-4447	95	5	not	not	PART
cana-4447	95	6	addressed	address	VERB
cana-4447	95	7	the	the	DET
cana-4447	95	8	prediction	prediction	NOUN
cana-4447	95	9	of	of	ADP
cana-4447	95	10	human	human	ADJ
cana-4447	95	11	criminal	criminal	ADJ
cana-4447	95	12	activities	activity	NOUN
cana-4447	95	13	(	(	PUNCT
cana-4447	95	14	hap	hap	NOUN
cana-4447	95	15	)	)	PUNCT
cana-4447	95	16	in	in	ADP
cana-4447	95	17	video	video	NOUN
cana-4447	95	18	frames	frame	NOUN
cana-4447	95	19	when	when	SCONJ
cana-4447	95	20	two	two	NUM
cana-4447	95	21	individuals	individual	NOUN
cana-4447	95	22	are	be	AUX
cana-4447	95	23	near	near	ADP
cana-4447	95	24	one	one	NUM
cana-4447	95	25	another	another	DET
cana-4447	95	26	.	.	PUNCT
cana-4447	96	1	however	however	ADV
cana-4447	96	2	,	,	PUNCT
cana-4447	96	3	various	various	ADJ
cana-4447	96	4	challenges	challenge	NOUN
cana-4447	96	5	remain	remain	VERB
cana-4447	96	6	in	in	ADP
cana-4447	96	7	hap	hap	NOUN
cana-4447	96	8	concerning	concern	VERB
cana-4447	96	9	the	the	DET
cana-4447	96	10	attainment	attainment	NOUN
cana-4447	96	11	of	of	ADP
cana-4447	96	12	high	high	ADJ
cana-4447	96	13	accuracy	accuracy	NOUN
cana-4447	96	14	and	and	CCONJ
cana-4447	96	15	minimal	minimal	ADJ
cana-4447	96	16	computational	computational	ADJ
cana-4447	96	17	complexity	complexity	NOUN
cana-4447	96	18	amongst	amongst	ADP
cana-4447	96	19	multiple	multiple	ADJ
cana-4447	96	20	visual	visual	ADJ
cana-4447	96	21	complications	complication	NOUN
cana-4447	96	22	,	,	PUNCT
cana-4447	96	23	such	such	ADJ
cana-4447	96	24	as	as	ADP
cana-4447	96	25	occlusion	occlusion	NOUN
cana-4447	96	26	,	,	PUNCT
cana-4447	96	27	background	background	NOUN
cana-4447	96	28	clutter	clutter	NOUN
cana-4447	96	29	,	,	PUNCT
cana-4447	96	30	low	low	ADJ
cana-4447	96	31	video	video	NOUN
cana-4447	96	32	quality	quality	NOUN
cana-4447	96	33	,	,	PUNCT
cana-4447	96	34	illumination	illumination	NOUN
cana-4447	96	35	,	,	PUNCT
cana-4447	96	36	and	and	CCONJ
cana-4447	96	37	overlapping	overlap	VERB
cana-4447	96	38	persons	person	NOUN
cana-4447	96	39	.	.	PUNCT
cana-4447	97	1	this	this	DET
cana-4447	97	2	paper	paper	NOUN
cana-4447	97	3	introduces	introduce	VERB
cana-4447	97	4	the	the	DET
cana-4447	97	5	novelhap	novelhap	ADJ
cana-4447	97	6	algorithm	algorithm	NOUN
cana-4447	97	7	,	,	PUNCT
cana-4447	97	8	which	which	PRON
cana-4447	97	9	combines	combine	VERB
cana-4447	97	10	a	a	DET
cana-4447	97	11	recursive	recursive	ADJ
cana-4447	97	12	optimal	optimal	ADJ
cana-4447	97	13	estimation	estimation	NOUN
cana-4447	97	14	filter	filter	NOUN
cana-4447	97	15	,	,	PUNCT
cana-4447	97	16	specifically	specifically	ADV
cana-4447	97	17	the	the	DET
cana-4447	97	18	kalman	kalman	PROPN
cana-4447	97	19	filter	filter	NOUN
cana-4447	97	20	algorithm	algorithm	PROPN
cana-4447	97	21	(	(	PUNCT
cana-4447	97	22	kfa	kfa	PROPN
cana-4447	97	23	)	)	PUNCT
cana-4447	97	24	,	,	PUNCT
cana-4447	97	25	a	a	DET
cana-4447	97	26	skeleton	skeleton	NOUN
cana-4447	97	27	-	-	PUNCT
cana-4447	97	28	based	base	VERB
cana-4447	97	29	technique	technique	NOUN
cana-4447	97	30	(	(	PUNCT
cana-4447	97	31	media	media	NOUN
cana-4447	97	32	pipe	pipe	NOUN
cana-4447	97	33	)	)	PUNCT
cana-4447	97	34	,	,	PUNCT
cana-4447	97	35	and	and	CCONJ
cana-4447	97	36	template	template	NOUN
cana-4447	97	37	-	-	PUNCT
cana-4447	97	38	matching	match	VERB
cana-4447	97	39	statistical	statistical	ADJ
cana-4447	97	40	approaches	approach	NOUN
cana-4447	97	41	(	(	PUNCT
cana-4447	97	42	tmsa	tmsa	NOUN
cana-4447	97	43	)	)	PUNCT
cana-4447	97	44	to	to	PART
cana-4447	97	45	predict	predict	VERB
cana-4447	97	46	human	human	ADJ
cana-4447	97	47	criminal	criminal	ADJ
cana-4447	97	48	activities	activity	NOUN
cana-4447	97	49	,	,	PUNCT
cana-4447	97	50	such	such	ADJ
cana-4447	97	51	as	as	ADP
cana-4447	97	52	shooting	shooting	NOUN
cana-4447	97	53	,	,	PUNCT
cana-4447	97	54	fighting	fighting	NOUN
cana-4447	97	55	,	,	PUNCT
cana-4447	97	56	and	and	CCONJ
cana-4447	97	57	kicking	kicking	NOUN
cana-4447	97	58	,	,	PUNCT
cana-4447	97	59	in	in	ADP
cana-4447	97	60	video	video	NOUN
cana-4447	97	61	frames	frame	NOUN
cana-4447	97	62	,	,	PUNCT
cana-4447	97	63	without	without	ADP
cana-4447	97	64	employing	employ	VERB
cana-4447	97	65	machine	machine	NOUN
cana-4447	97	66	learning	learning	NOUN
cana-4447	97	67	or	or	CCONJ
cana-4447	97	68	deep	deep	ADJ
cana-4447	97	69	learning	learning	NOUN
cana-4447	97	70	methods	method	NOUN
cana-4447	97	71	.	.	PUNCT
cana-4447	98	1	deep	deep	ADJ
cana-4447	98	2	learning	learning	NOUN
cana-4447	98	3	models	model	NOUN
cana-4447	98	4	are	be	AUX
cana-4447	98	5	typically	typically	ADV
cana-4447	98	6	resource	resource	NOUN
cana-4447	98	7	-	-	PUNCT
cana-4447	98	8	intensive	intensive	ADJ
cana-4447	98	9	when	when	SCONJ
cana-4447	98	10	processing	process	VERB
cana-4447	98	11	large	large	ADJ
cana-4447	98	12	datasets	dataset	NOUN
cana-4447	98	13	and	and	CCONJ
cana-4447	98	14	less	less	ADV
cana-4447	98	15	efficient	efficient	ADJ
cana-4447	98	16	with	with	ADP
cana-4447	98	17	tiny	tiny	ADJ
cana-4447	98	18	data	datum	NOUN
cana-4447	98	19	samples	sample	NOUN
cana-4447	98	20	.	.	PUNCT
cana-4447	99	1	furthermore	furthermore	ADV
cana-4447	99	2	,	,	PUNCT
cana-4447	99	3	machine	machine	NOUN
cana-4447	99	4	learning	learning	NOUN
cana-4447	99	5	models	model	NOUN
cana-4447	99	6	demonstrate	demonstrate	VERB
cana-4447	99	7	diminished	diminished	ADJ
cana-4447	99	8	effectiveness	effectiveness	NOUN
cana-4447	99	9	in	in	ADP
cana-4447	99	10	tackling	tackle	VERB
cana-4447	99	11	significant	significant	ADJ
cana-4447	99	12	visual	visual	ADJ
cana-4447	99	13	challenges	challenge	NOUN
cana-4447	99	14	such	such	ADJ
cana-4447	99	15	as	as	ADP
cana-4447	99	16	occlusion	occlusion	NOUN
cana-4447	99	17	,	,	PUNCT
cana-4447	99	18	poor	poor	ADJ
cana-4447	99	19	video	video	NOUN
cana-4447	99	20	quality	quality	NOUN
cana-4447	99	21	,	,	PUNCT
cana-4447	99	22	and	and	CCONJ
cana-4447	99	23	illumination	illumination	NOUN
cana-4447	99	24	.	.	PUNCT
cana-4447	100	1	the	the	DET
cana-4447	100	2	proposed	propose	VERB
cana-4447	100	3	strategy	strategy	NOUN
cana-4447	100	4	emphasizes	emphasize	VERB
cana-4447	100	5	the	the	DET
cana-4447	100	6	use	use	NOUN
cana-4447	100	7	of	of	ADP
cana-4447	100	8	standard	standard	ADJ
cana-4447	100	9	techniques	technique	NOUN
cana-4447	100	10	like	like	ADP
cana-4447	100	11	kfa	kfa	NOUN
cana-4447	100	12	and	and	CCONJ
cana-4447	100	13	tmsa	tmsa	NOUN
cana-4447	100	14	,	,	PUNCT
cana-4447	100	15	which	which	PRON
cana-4447	100	16	are	be	AUX
cana-4447	100	17	taskspecific	taskspecific	ADJ
cana-4447	100	18	approaches	approach	NOUN
cana-4447	100	19	.	.	PUNCT
cana-4447	101	1	the	the	DET
cana-4447	101	2	standard	standard	ADJ
cana-4447	101	3	procedures	procedure	NOUN
cana-4447	101	4	guarantee	guarantee	VERB
cana-4447	101	5	1	1	NUM
cana-4447	101	6	)	)	PUNCT
cana-4447	101	7	interoperability	interoperability	NOUN
cana-4447	101	8	:	:	PUNCT
cana-4447	101	9	the	the	DET
cana-4447	101	10	capacity	capacity	NOUN
cana-4447	101	11	to	to	PART
cana-4447	101	12	exchange	exchange	VERB
cana-4447	101	13	data	datum	NOUN
cana-4447	101	14	among	among	ADP
cana-4447	101	15	diverse	diverse	ADJ
cana-4447	101	16	systems	system	NOUN
cana-4447	101	17	.	.	PUNCT
cana-4447	102	1	2	2	X
cana-4447	102	2	)	)	PUNCT
cana-4447	102	3	compatibility	compatibility	NOUN
cana-4447	102	4	:	:	PUNCT
cana-4447	102	5	functioning	function	VERB
cana-4447	102	6	with	with	ADP
cana-4447	102	7	one	one	NUM
cana-4447	102	8	or	or	CCONJ
cana-4447	102	9	multiple	multiple	ADJ
cana-4447	102	10	platforms	platform	NOUN
cana-4447	102	11	3	3	NUM
cana-4447	102	12	)	)	PUNCT
cana-4447	102	13	reliability	reliability	NOUN
cana-4447	102	14	:	:	PUNCT
cana-4447	102	15	providing	provide	VERB
cana-4447	102	16	consistent	consistent	ADJ
cana-4447	102	17	and	and	CCONJ
cana-4447	102	18	impeccable	impeccable	ADJ
cana-4447	102	19	outcomes	outcome	NOUN
cana-4447	102	20	,	,	PUNCT
cana-4447	102	21	and	and	CCONJ
cana-4447	102	22	4	4	X
cana-4447	102	23	)	)	PUNCT
cana-4447	102	24	maintainability	maintainability	NOUN
cana-4447	102	25	:	:	PUNCT
cana-4447	102	26	the	the	DET
cana-4447	102	27	capacity	capacity	NOUN
cana-4447	102	28	to	to	PART
cana-4447	102	29	access	access	VERB
cana-4447	102	30	tools	tool	NOUN
cana-4447	102	31	and	and	CCONJ
cana-4447	102	32	documentation	documentation	NOUN
cana-4447	102	33	when	when	SCONJ
cana-4447	102	34	problems	problem	NOUN
cana-4447	102	35	occur	occur	VERB
cana-4447	102	36	.	.	PUNCT
cana-4447	103	1	the	the	DET
cana-4447	103	2	approaches	approach	NOUN
cana-4447	103	3	for	for	ADP
cana-4447	103	4	the	the	DET
cana-4447	103	5	work	work	NOUN
cana-4447	103	6	at	at	ADP
cana-4447	103	7	hand	hand	NOUN
cana-4447	103	8	are	be	AUX
cana-4447	103	9	organized	organize	VERB
cana-4447	103	10	hierarchically	hierarchically	ADV
cana-4447	103	11	,	,	PUNCT
cana-4447	103	12	breaking	break	VERB
cana-4447	103	13	down	down	ADP
cana-4447	103	14	complex	complex	ADJ
cana-4447	103	15	tasks	task	NOUN
cana-4447	103	16	into	into	ADP
cana-4447	103	17	smaller	small	ADJ
cana-4447	103	18	,	,	PUNCT
cana-4447	103	19	manageable	manageable	ADJ
cana-4447	103	20	subtasks	subtask	NOUN
cana-4447	103	21	that	that	PRON
cana-4447	103	22	define	define	VERB
cana-4447	103	23	communications	communication	NOUN
cana-4447	103	24	on	on	ADP
cana-4447	103	25	applied	apply	VERB
cana-4447	103	26	nonlinear	nonlinear	ADJ
cana-4447	103	27	analysis	analysis	NOUN
cana-4447	103	28	issn	issn	NOUN
cana-4447	103	29	:	:	PUNCT
cana-4447	103	30	1074	1074	NUM
cana-4447	103	31	-	-	PUNCT
cana-4447	103	32	133x	133x	NUM
cana-4447	103	33	vol	vol	NOUN
cana-4447	103	34	32	32	NUM
cana-4447	104	1	no	no	NOUN
cana-4447	104	2	.	.	PUNCT
cana-4447	105	1	9s	9s	NUM
cana-4447	105	2	(	(	PUNCT
cana-4447	105	3	2025	2025	NUM
cana-4447	105	4	)	)	PUNCT
cana-4447	105	5	2054	2054	NUM
cana-4447	105	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-4447	105	7	goal	goal	NOUN
cana-4447	105	8	-	-	PUNCT
cana-4447	105	9	oriented	orient	VERB
cana-4447	105	10	activities	activity	NOUN
cana-4447	105	11	.	.	PUNCT
cana-4447	106	1	methods	method	NOUN
cana-4447	106	2	focused	focus	VERB
cana-4447	106	3	on	on	ADP
cana-4447	106	4	the	the	DET
cana-4447	106	5	work	work	NOUN
cana-4447	106	6	at	at	ADP
cana-4447	106	7	hand	hand	NOUN
cana-4447	106	8	were	be	AUX
cana-4447	106	9	employed	employ	VERB
cana-4447	106	10	to	to	PART
cana-4447	106	11	enhance	enhance	VERB
cana-4447	106	12	efficiency	efficiency	NOUN
cana-4447	106	13	,	,	PUNCT
cana-4447	106	14	reduce	reduce	VERB
cana-4447	106	15	distractions	distraction	NOUN
cana-4447	106	16	,	,	PUNCT
cana-4447	106	17	and	and	CCONJ
cana-4447	106	18	concentrate	concentrate	VERB
cana-4447	106	19	on	on	ADP
cana-4447	106	20	the	the	DET
cana-4447	106	21	present	present	ADJ
cana-4447	106	22	task	task	NOUN
cana-4447	106	23	.	.	PUNCT
cana-4447	107	1	the	the	DET
cana-4447	107	2	proposed	propose	VERB
cana-4447	107	3	methodology	methodology	NOUN
cana-4447	107	4	has	have	AUX
cana-4447	107	5	been	be	AUX
cana-4447	107	6	experimentally	experimentally	ADV
cana-4447	107	7	shown	show	VERB
cana-4447	107	8	to	to	PART
cana-4447	107	9	minimize	minimize	VERB
cana-4447	107	10	computational	computational	ADJ
cana-4447	107	11	costs	cost	NOUN
cana-4447	107	12	for	for	ADP
cana-4447	107	13	large	large	ADJ
cana-4447	107	14	datasets	dataset	NOUN
cana-4447	107	15	and	and	CCONJ
cana-4447	107	16	is	be	AUX
cana-4447	107	17	highly	highly	ADV
cana-4447	107	18	successful	successful	ADJ
cana-4447	107	19	for	for	ADP
cana-4447	107	20	small	small	ADJ
cana-4447	107	21	datasets	dataset	NOUN
cana-4447	107	22	and	and	CCONJ
cana-4447	107	23	difficult	difficult	ADJ
cana-4447	107	24	challenges	challenge	NOUN
cana-4447	107	25	in	in	ADP
cana-4447	107	26	critical	critical	ADJ
cana-4447	107	27	video	video	NOUN
cana-4447	107	28	analysis	analysis	NOUN
cana-4447	107	29	.	.	PUNCT
cana-4447	108	1	the	the	DET
cana-4447	108	2	principal	principal	ADJ
cana-4447	108	3	aim	aim	NOUN
cana-4447	108	4	of	of	ADP
cana-4447	108	5	this	this	DET
cana-4447	108	6	research	research	NOUN
cana-4447	108	7	is	be	AUX
cana-4447	108	8	as	as	SCONJ
cana-4447	108	9	follows	follow	VERB
cana-4447	108	10	:	:	PUNCT
cana-4447	108	11	i	i	PRON
cana-4447	108	12	)	)	PUNCT
cana-4447	108	13	forecasting	forecast	VERB
cana-4447	108	14	human	human	ADJ
cana-4447	108	15	criminal	criminal	ADJ
cana-4447	108	16	behavior	behavior	NOUN
cana-4447	108	17	in	in	ADP
cana-4447	108	18	video	video	NOUN
cana-4447	108	19	frames	frame	NOUN
cana-4447	108	20	with	with	ADP
cana-4447	108	21	less	less	ADJ
cana-4447	108	22	computational	computational	ADJ
cana-4447	108	23	complexity	complexity	NOUN
cana-4447	108	24	,	,	PUNCT
cana-4447	108	25	omitting	omit	VERB
cana-4447	108	26	machine	machine	NOUN
cana-4447	108	27	learning	learning	NOUN
cana-4447	108	28	and	and	CCONJ
cana-4447	108	29	deep	deep	ADJ
cana-4447	108	30	learning	learning	NOUN
cana-4447	108	31	techniques	technique	NOUN
cana-4447	108	32	.	.	PUNCT
cana-4447	109	1	ii	ii	X
cana-4447	109	2	)	)	PUNCT
cana-4447	109	3	empirically	empirically	ADV
cana-4447	109	4	validate	validate	VERB
cana-4447	109	5	the	the	DET
cana-4447	109	6	efficacy	efficacy	NOUN
cana-4447	109	7	of	of	ADP
cana-4447	109	8	this	this	DET
cana-4447	109	9	research	research	NOUN
cana-4447	109	10	in	in	ADP
cana-4447	109	11	predicting	predict	VERB
cana-4447	109	12	human	human	ADJ
cana-4447	109	13	criminal	criminal	ADJ
cana-4447	109	14	behavior	behavior	NOUN
cana-4447	109	15	through	through	ADP
cana-4447	109	16	a	a	DET
cana-4447	109	17	comprehensive	comprehensive	ADJ
cana-4447	109	18	investigation	investigation	NOUN
cana-4447	109	19	of	of	ADP
cana-4447	109	20	human	human	ADJ
cana-4447	109	21	postures	posture	NOUN
cana-4447	109	22	using	use	VERB
cana-4447	109	23	landmarks	landmark	NOUN
cana-4447	109	24	.	.	PUNCT
cana-4447	110	1	iii	iii	X
cana-4447	110	2	)	)	PUNCT
cana-4447	110	3	exhibit	exhibit	VERB
cana-4447	110	4	the	the	DET
cana-4447	110	5	effectiveness	effectiveness	NOUN
cana-4447	110	6	of	of	ADP
cana-4447	110	7	hap	hap	NOUN
cana-4447	110	8	on	on	ADP
cana-4447	110	9	both	both	CCONJ
cana-4447	110	10	small	small	ADJ
cana-4447	110	11	and	and	CCONJ
cana-4447	110	12	big	big	ADJ
cana-4447	110	13	datasets	dataset	NOUN
cana-4447	110	14	in	in	ADP
cana-4447	110	15	tackling	tackle	VERB
cana-4447	110	16	significant	significant	ADJ
cana-4447	110	17	video	video	NOUN
cana-4447	110	18	complexities	complexity	NOUN
cana-4447	110	19	while	while	SCONJ
cana-4447	110	20	reducing	reduce	VERB
cana-4447	110	21	false	false	ADJ
cana-4447	110	22	positives	positive	NOUN
cana-4447	110	23	and	and	CCONJ
cana-4447	110	24	negatives	negative	NOUN
cana-4447	110	25	.	.	PUNCT
cana-4447	111	1	the	the	DET
cana-4447	111	2	proposed	propose	VERB
cana-4447	111	3	methodology	methodology	NOUN
cana-4447	111	4	was	be	AUX
cana-4447	111	5	executed	execute	VERB
cana-4447	111	6	and	and	CCONJ
cana-4447	111	7	evaluated	evaluate	VERB
cana-4447	111	8	using	use	VERB
cana-4447	111	9	the	the	DET
cana-4447	111	10	ucf-101	ucf-101	ADJ
cana-4447	111	11	public	public	ADJ
cana-4447	111	12	surveillance	surveillance	NOUN
cana-4447	111	13	dataset	dataset	NOUN
cana-4447	111	14	of	of	ADP
cana-4447	111	15	real	real	ADJ
cana-4447	111	16	-	-	PUNCT
cana-4447	111	17	world	world	NOUN
cana-4447	111	18	crimes	crime	NOUN
cana-4447	111	19	.	.	PUNCT
cana-4447	112	1	it	it	PRON
cana-4447	112	2	is	be	AUX
cana-4447	112	3	utilized	utilize	VERB
cana-4447	112	4	to	to	PART
cana-4447	112	5	analyze	analyze	VERB
cana-4447	112	6	extensive	extensive	ADJ
cana-4447	112	7	unedited	unedited	ADJ
cana-4447	112	8	surveillance	surveillance	NOUN
cana-4447	112	9	video	video	NOUN
cana-4447	112	10	collections	collection	NOUN
cana-4447	112	11	for	for	ADP
cana-4447	112	12	the	the	DET
cana-4447	112	13	prediction	prediction	NOUN
cana-4447	112	14	of	of	ADP
cana-4447	112	15	human	human	ADJ
cana-4447	112	16	criminal	criminal	ADJ
cana-4447	112	17	conduct	conduct	NOUN
cana-4447	112	18	.	.	PUNCT
cana-4447	113	1	the	the	DET
cana-4447	113	2	13	13	NUM
cana-4447	113	3	real	real	ADJ
cana-4447	113	4	-	-	PUNCT
cana-4447	113	5	world	world	NOUN
cana-4447	113	6	anomalies	anomaly	NOUN
cana-4447	113	7	that	that	PRON
cana-4447	113	8	are	be	AUX
cana-4447	113	9	captured	capture	VERB
cana-4447	113	10	by	by	ADP
cana-4447	113	11	the	the	DET
cana-4447	113	12	camera	camera	NOUN
cana-4447	113	13	include	include	VERB
cana-4447	113	14	abuse	abuse	NOUN
cana-4447	113	15	,	,	PUNCT
cana-4447	113	16	arrests	arrest	NOUN
cana-4447	113	17	,	,	PUNCT
cana-4447	113	18	arson	arson	NOUN
cana-4447	113	19	,	,	PUNCT
cana-4447	113	20	assault	assault	NOUN
cana-4447	113	21	,	,	PUNCT
cana-4447	113	22	car	car	NOUN
cana-4447	113	23	crashes	crash	NOUN
cana-4447	113	24	,	,	PUNCT
cana-4447	113	25	burglaries	burglary	NOUN
cana-4447	113	26	,	,	PUNCT
cana-4447	113	27	explosions	explosion	NOUN
cana-4447	113	28	,	,	PUNCT
cana-4447	113	29	fights	fight	NOUN
cana-4447	113	30	,	,	PUNCT
cana-4447	113	31	robberies	robbery	NOUN
cana-4447	113	32	,	,	PUNCT
cana-4447	113	33	shootings	shooting	NOUN
cana-4447	113	34	,	,	PUNCT
cana-4447	113	35	thieving	thieving	NOUN
cana-4447	113	36	,	,	PUNCT
cana-4447	113	37	shoplifting	shoplifting	NOUN
cana-4447	113	38	,	,	PUNCT
cana-4447	113	39	and	and	CCONJ
cana-4447	113	40	vandalism	vandalism	NOUN
cana-4447	113	41	.	.	PUNCT
cana-4447	114	1	the	the	DET
cana-4447	114	2	surveillance	surveillance	NOUN
cana-4447	114	3	video	video	NOUN
cana-4447	114	4	datasets	dataset	NOUN
cana-4447	114	5	take	take	VERB
cana-4447	114	6	into	into	ADP
cana-4447	114	7	account	account	NOUN
cana-4447	114	8	critical	critical	ADJ
cana-4447	114	9	video	video	NOUN
cana-4447	114	10	complexity	complexity	NOUN
cana-4447	114	11	issues	issue	NOUN
cana-4447	114	12	such	such	ADJ
cana-4447	114	13	as	as	ADP
cana-4447	114	14	occlusion	occlusion	NOUN
cana-4447	114	15	,	,	PUNCT
cana-4447	114	16	background	background	NOUN
cana-4447	114	17	clutter	clutter	NOUN
cana-4447	114	18	,	,	PUNCT
cana-4447	114	19	low	low	ADJ
cana-4447	114	20	video	video	NOUN
cana-4447	114	21	and	and	CCONJ
cana-4447	114	22	image	image	NOUN
cana-4447	114	23	quality	quality	NOUN
cana-4447	114	24	,	,	PUNCT
cana-4447	114	25	illumination	illumination	NOUN
cana-4447	114	26	,	,	PUNCT
cana-4447	114	27	overlapped	overlapped	ADJ
cana-4447	114	28	people	people	NOUN
cana-4447	114	29	,	,	PUNCT
cana-4447	114	30	both	both	CCONJ
cana-4447	114	31	indoor	indoor	ADJ
cana-4447	114	32	and	and	CCONJ
cana-4447	114	33	outdoor	outdoor	ADJ
cana-4447	114	34	,	,	PUNCT
cana-4447	114	35	moving	move	VERB
cana-4447	114	36	people	people	NOUN
cana-4447	114	37	,	,	PUNCT
cana-4447	114	38	small	small	ADJ
cana-4447	114	39	objects	object	NOUN
cana-4447	114	40	(	(	PUNCT
cana-4447	114	41	people	people	NOUN
cana-4447	114	42	)	)	PUNCT
cana-4447	114	43	,	,	PUNCT
cana-4447	114	44	a	a	DET
cana-4447	114	45	variety	variety	NOUN
cana-4447	114	46	of	of	ADP
cana-4447	114	47	poses	pose	NOUN
cana-4447	114	48	,	,	PUNCT
cana-4447	114	49	people	people	NOUN
cana-4447	114	50	wearing	wear	VERB
cana-4447	114	51	different	different	ADJ
cana-4447	114	52	clothing	clothing	NOUN
cana-4447	114	53	,	,	PUNCT
cana-4447	114	54	people	people	NOUN
cana-4447	114	55	lying	lie	VERB
cana-4447	114	56	down	down	ADP
cana-4447	114	57	on	on	ADP
cana-4447	114	58	the	the	DET
cana-4447	114	59	ground	ground	NOUN
cana-4447	114	60	,	,	PUNCT
cana-4447	114	61	night	night	NOUN
cana-4447	114	62	videos	video	NOUN
cana-4447	114	63	,	,	PUNCT
cana-4447	114	64	and	and	CCONJ
cana-4447	114	65	various	various	ADJ
cana-4447	114	66	weather	weather	NOUN
cana-4447	114	67	conditions	condition	NOUN
cana-4447	114	68	.	.	PUNCT
cana-4447	115	1	following	follow	VERB
cana-4447	115	2	the	the	DET
cana-4447	115	3	introduction	introduction	NOUN
cana-4447	115	4	and	and	CCONJ
cana-4447	115	5	literature	literature	PROPN
cana-4447	115	6	review	review	PROPN
cana-4447	115	7	,	,	PUNCT
cana-4447	115	8	the	the	DET
cana-4447	115	9	paper	paper	NOUN
cana-4447	115	10	's	's	PART
cana-4447	115	11	remaining	remain	VERB
cana-4447	115	12	portion	portion	NOUN
cana-4447	115	13	is	be	AUX
cana-4447	115	14	structured	structure	VERB
cana-4447	115	15	into	into	ADP
cana-4447	115	16	three	three	NUM
cana-4447	115	17	sections	section	NOUN
cana-4447	115	18	.	.	PUNCT
cana-4447	116	1	the	the	DET
cana-4447	116	2	proposed	propose	VERB
cana-4447	116	3	methodology	methodology	NOUN
cana-4447	116	4	novelhap	novelhap	ADV
cana-4447	116	5	is	be	AUX
cana-4447	116	6	inclined	incline	VERB
cana-4447	116	7	inside	inside	ADP
cana-4447	116	8	segment	segment	PROPN
cana-4447	116	9	ii	ii	PROPN
cana-4447	116	10	.	.	PUNCT
cana-4447	117	1	the	the	DET
cana-4447	117	2	outcome	outcome	NOUN
cana-4447	117	3	and	and	CCONJ
cana-4447	117	4	analysis	analysis	NOUN
cana-4447	117	5	are	be	AUX
cana-4447	117	6	addressed	address	VERB
cana-4447	117	7	in	in	ADP
cana-4447	117	8	part	part	PROPN
cana-4447	117	9	iii	iii	PROPN
cana-4447	117	10	.	.	PUNCT
cana-4447	117	11	sector	sector	NOUN
cana-4447	117	12	iv	iv	PRON
cana-4447	117	13	offers	offer	VERB
cana-4447	117	14	the	the	DET
cana-4447	117	15	conclusion	conclusion	NOUN
cana-4447	117	16	as	as	ADV
cana-4447	117	17	well	well	ADV
cana-4447	117	18	as	as	ADP
cana-4447	117	19	recommendations	recommendation	NOUN
cana-4447	117	20	for	for	ADP
cana-4447	117	21	further	further	ADJ
cana-4447	117	22	investigation	investigation	NOUN
cana-4447	117	23	.	.	PUNCT
cana-4447	118	1	2	2	X
cana-4447	118	2	.	.	NUM
cana-4447	118	3	proposed	propose	VERB
cana-4447	118	4	methodology	methodology	NOUN
cana-4447	118	5	the	the	DET
cana-4447	118	6	fundamental	fundamental	ADJ
cana-4447	118	7	method	method	NOUN
cana-4447	118	8	of	of	ADP
cana-4447	118	9	predicting	predict	VERB
cana-4447	118	10	crimes	crime	NOUN
cana-4447	118	11	before	before	SCONJ
cana-4447	118	12	they	they	PRON
cana-4447	118	13	occur	occur	VERB
cana-4447	118	14	is	be	AUX
cana-4447	118	15	called	call	VERB
cana-4447	118	16	crime	crime	NOUN
cana-4447	118	17	forecasting	forecasting	NOUN
cana-4447	118	18	.	.	PUNCT
cana-4447	119	1	to	to	PART
cana-4447	119	2	anticipate	anticipate	VERB
cana-4447	119	3	crimes	crime	NOUN
cana-4447	119	4	before	before	SCONJ
cana-4447	119	5	they	they	PRON
cana-4447	119	6	happen	happen	VERB
cana-4447	119	7	,	,	PUNCT
cana-4447	119	8	different	different	ADJ
cana-4447	119	9	approaches	approach	NOUN
cana-4447	119	10	are	be	AUX
cana-4447	119	11	needed	need	VERB
cana-4447	119	12	.	.	PUNCT
cana-4447	120	1	human	human	ADJ
cana-4447	120	2	activity	activity	NOUN
cana-4447	120	3	prediction	prediction	NOUN
cana-4447	120	4	is	be	AUX
cana-4447	120	5	a	a	DET
cana-4447	120	6	probabilistic	probabilistic	ADJ
cana-4447	120	7	approach	approach	NOUN
cana-4447	120	8	that	that	PRON
cana-4447	120	9	enables	enable	VERB
cana-4447	120	10	early	early	ADJ
cana-4447	120	11	recognition	recognition	NOUN
cana-4447	120	12	of	of	ADP
cana-4447	120	13	incomplete	incomplete	ADJ
cana-4447	120	14	activities	activity	NOUN
cana-4447	120	15	rather	rather	ADV
cana-4447	120	16	than	than	ADP
cana-4447	120	17	post	post	ADJ
cana-4447	120	18	-	-	ADJ
cana-4447	120	19	factum	factum	ADJ
cana-4447	120	20	classification	classification	NOUN
cana-4447	120	21	of	of	ADP
cana-4447	120	22	completed	complete	VERB
cana-4447	120	23	activities	activity	NOUN
cana-4447	120	24	.	.	PUNCT
cana-4447	121	1	activity	activity	NOUN
cana-4447	121	2	prediction	prediction	NOUN
cana-4447	121	3	algorithms	algorithm	NOUN
cana-4447	121	4	are	be	AUX
cana-4447	121	5	very	very	ADV
cana-4447	121	6	important	important	ADJ
cana-4447	121	7	for	for	ADP
cana-4447	121	8	surveillance	surveillance	NOUN
cana-4447	121	9	systems	system	NOUN
cana-4447	121	10	to	to	PART
cana-4447	121	11	prevent	prevent	VERB
cana-4447	121	12	crimes	crime	NOUN
cana-4447	121	13	and	and	CCONJ
cana-4447	121	14	risky	risky	ADJ
cana-4447	121	15	actions	action	NOUN
cana-4447	121	16	from	from	ADP
cana-4447	121	17	occurring	occur	VERB
cana-4447	121	18	.	.	PUNCT
cana-4447	122	1	surveillance	surveillance	NOUN
cana-4447	122	2	video	video	NOUN
cana-4447	122	3	footage	footage	NOUN
cana-4447	122	4	has	have	VERB
cana-4447	122	5	multiple	multiple	ADJ
cana-4447	122	6	moving	move	VERB
cana-4447	122	7	objects	object	NOUN
cana-4447	122	8	.	.	PUNCT
cana-4447	123	1	it	it	PRON
cana-4447	123	2	is	be	AUX
cana-4447	123	3	a	a	DET
cana-4447	123	4	challenging	challenging	ADJ
cana-4447	123	5	task	task	NOUN
cana-4447	123	6	to	to	PART
cana-4447	123	7	track	track	VERB
cana-4447	123	8	multiple	multiple	ADJ
cana-4447	123	9	moving	move	VERB
cana-4447	123	10	objects	object	NOUN
cana-4447	123	11	and	and	CCONJ
cana-4447	123	12	predict	predict	VERB
cana-4447	123	13	very	very	ADV
cana-4447	123	14	near	near	ADV
cana-4447	123	15	-	-	PUNCT
cana-4447	123	16	located	locate	VERB
cana-4447	123	17	humans	human	NOUN
cana-4447	123	18	for	for	ADP
cana-4447	123	19	surveillance	surveillance	NOUN
cana-4447	123	20	largely	largely	ADV
cana-4447	123	21	due	due	ADJ
cana-4447	123	22	to	to	ADP
cana-4447	123	23	camera	camera	NOUN
cana-4447	123	24	noise	noise	NOUN
cana-4447	123	25	,	,	PUNCT
cana-4447	123	26	lighting	lighting	NOUN
cana-4447	123	27	conditions	condition	NOUN
cana-4447	123	28	,	,	PUNCT
cana-4447	123	29	object	object	VERB
cana-4447	123	30	occlusion	occlusion	NOUN
cana-4447	123	31	,	,	PUNCT
cana-4447	123	32	and	and	CCONJ
cana-4447	123	33	the	the	DET
cana-4447	123	34	varying	vary	VERB
cana-4447	123	35	orientation	orientation	NOUN
cana-4447	123	36	of	of	ADP
cana-4447	123	37	different	different	ADJ
cana-4447	123	38	objects	object	NOUN
cana-4447	123	39	.	.	PUNCT
cana-4447	124	1	this	this	DET
cana-4447	124	2	work	work	NOUN
cana-4447	124	3	presented	present	VERB
cana-4447	124	4	a	a	DET
cana-4447	124	5	novel	novel	ADJ
cana-4447	124	6	methodology	methodology	NOUN
cana-4447	124	7	,	,	PUNCT
cana-4447	124	8	novelhap	novelhap	ADV
cana-4447	124	9	,	,	PUNCT
cana-4447	124	10	for	for	ADP
cana-4447	124	11	predicting	predict	VERB
cana-4447	124	12	human	human	ADJ
cana-4447	124	13	criminal	criminal	ADJ
cana-4447	124	14	activity	activity	NOUN
cana-4447	124	15	in	in	ADP
cana-4447	124	16	video	video	NOUN
cana-4447	124	17	frames	frame	NOUN
cana-4447	124	18	.	.	PUNCT
cana-4447	125	1	figure	figure	VERB
cana-4447	125	2	1	1	NUM
cana-4447	125	3	depicts	depict	VERB
cana-4447	125	4	the	the	DET
cana-4447	125	5	block	block	NOUN
cana-4447	125	6	diagram	diagram	NOUN
cana-4447	125	7	of	of	ADP
cana-4447	125	8	the	the	DET
cana-4447	125	9	novelhap	novelhap	ADJ
cana-4447	125	10	proposed	propose	VERB
cana-4447	125	11	methodology	methodology	NOUN
cana-4447	125	12	.	.	PUNCT
cana-4447	126	1	the	the	DET
cana-4447	126	2	proposed	propose	VERB
cana-4447	126	3	method	method	NOUN
cana-4447	126	4	has	have	VERB
cana-4447	126	5	3	3	NUM
cana-4447	126	6	-	-	PUNCT
cana-4447	126	7	step	step	NOUN
cana-4447	126	8	procedures	procedure	NOUN
cana-4447	126	9	:	:	PUNCT
cana-4447	126	10	1	1	X
cana-4447	126	11	)	)	PUNCT
cana-4447	126	12	kalman	kalman	NOUN
cana-4447	126	13	filter	filter	NOUN
cana-4447	126	14	algorithm	algorithm	PROPN
cana-4447	126	15	(	(	PUNCT
cana-4447	126	16	step-1	step-1	PROPN
cana-4447	126	17	):	):	PUNCT
cana-4447	126	18	video	video	NOUN
cana-4447	126	19	input	input	NOUN
cana-4447	126	20	has	have	AUX
cana-4447	126	21	been	be	AUX
cana-4447	126	22	given	give	VERB
cana-4447	126	23	to	to	ADP
cana-4447	126	24	the	the	DET
cana-4447	126	25	kalman	kalman	NOUN
cana-4447	126	26	filter	filter	NOUN
cana-4447	126	27	for	for	ADP
cana-4447	126	28	multiobject	multiobject	NOUN
cana-4447	126	29	tacking	tack	VERB
cana-4447	126	30	to	to	PART
cana-4447	126	31	predict	predict	VERB
cana-4447	126	32	a	a	DET
cana-4447	126	33	video	video	NOUN
cana-4447	126	34	frame	frame	NOUN
cana-4447	126	35	that	that	PRON
cana-4447	126	36	contains	contain	VERB
cana-4447	126	37	very	very	ADV
cana-4447	126	38	near	near	ADV
cana-4447	126	39	to	to	ADP
cana-4447	126	40	each	each	DET
cana-4447	126	41	other	other	ADJ
cana-4447	126	42	state	state	NOUN
cana-4447	126	43	(	(	PUNCT
cana-4447	126	44	or	or	CCONJ
cana-4447	126	45	position	position	NOUN
cana-4447	126	46	)	)	PUNCT
cana-4447	126	47	humans	human	NOUN
cana-4447	126	48	in	in	ADP
cana-4447	126	49	video	video	NOUN
cana-4447	126	50	frames	frame	NOUN
cana-4447	126	51	.	.	PUNCT
cana-4447	127	1	2	2	NUM
cana-4447	127	2	)	)	PUNCT
cana-4447	127	3	mediapipe	mediapipe	NOUN
cana-4447	127	4	framework	framework	NOUN
cana-4447	127	5	(	(	PUNCT
cana-4447	127	6	step-2	step-2	NUM
cana-4447	127	7	):	):	PUNCT
cana-4447	127	8	the	the	DET
cana-4447	127	9	mediapipe	mediapipe	NOUN
cana-4447	127	10	pose	pose	NOUN
cana-4447	127	11	(	(	PUNCT
cana-4447	127	12	mpp	mpp	NOUN
cana-4447	127	13	)	)	PUNCT
cana-4447	127	14	landmark	landmark	NOUN
cana-4447	127	15	detector	detector	NOUN
cana-4447	127	16	feature	feature	NOUN
cana-4447	127	17	extraction	extraction	NOUN
cana-4447	127	18	technique	technique	NOUN
cana-4447	127	19	is	be	AUX
cana-4447	127	20	used	use	VERB
cana-4447	127	21	to	to	PART
cana-4447	127	22	detect	detect	VERB
cana-4447	127	23	landmarks	landmark	NOUN
cana-4447	127	24	and	and	CCONJ
cana-4447	127	25	postures	posture	NOUN
cana-4447	127	26	of	of	ADP
cana-4447	127	27	the	the	DET
cana-4447	127	28	human	human	NOUN
cana-4447	127	29	in	in	ADP
cana-4447	127	30	both	both	DET
cana-4447	127	31	predicted	predict	VERB
cana-4447	127	32	video	video	NOUN
cana-4447	127	33	frames	frame	NOUN
cana-4447	127	34	(	(	PUNCT
cana-4447	127	35	training	training	NOUN
cana-4447	127	36	data	datum	NOUN
cana-4447	127	37	)	)	PUNCT
cana-4447	127	38	and	and	CCONJ
cana-4447	127	39	different	different	ADJ
cana-4447	127	40	activities	activity	NOUN
cana-4447	127	41	template	template	NOUN
cana-4447	127	42	images	image	NOUN
cana-4447	127	43	(	(	PUNCT
cana-4447	127	44	test	test	NOUN
cana-4447	127	45	data	datum	NOUN
cana-4447	127	46	)	)	PUNCT
cana-4447	127	47	.	.	PUNCT
cana-4447	128	1	calculated	calculate	VERB
cana-4447	128	2	euclidean	euclidean	ADJ
cana-4447	128	3	communications	communication	NOUN
cana-4447	128	4	on	on	ADP
cana-4447	128	5	applied	apply	VERB
cana-4447	128	6	nonlinear	nonlinear	ADJ
cana-4447	128	7	analysis	analysis	NOUN
cana-4447	128	8	issn	issn	NOUN
cana-4447	128	9	:	:	PUNCT
cana-4447	128	10	1074	1074	NUM
cana-4447	128	11	-	-	PUNCT
cana-4447	128	12	133x	133x	NUM
cana-4447	128	13	vol	vol	NOUN
cana-4447	128	14	32	32	NUM
cana-4447	128	15	no	no	NOUN
cana-4447	128	16	.	.	PUNCT
cana-4447	129	1	9s	9s	NUM
cana-4447	129	2	(	(	PUNCT
cana-4447	129	3	2025	2025	NUM
cana-4447	129	4	)	)	PUNCT
cana-4447	129	5	2055	2055	NUM
cana-4447	130	1	https://internationalpubls.com	https://internationalpubls.com	X
cana-4447	130	2	distances	distance	NOUN
cana-4447	130	3	(	(	PUNCT
cana-4447	130	4	d1	d1	PROPN
cana-4447	130	5	to	to	ADP
cana-4447	130	6	d10	d10	PROPN
cana-4447	130	7	)	)	PUNCT
cana-4447	130	8	between	between	ADP
cana-4447	130	9	different	different	ADJ
cana-4447	130	10	combinations	combination	NOUN
cana-4447	130	11	of	of	ADP
cana-4447	130	12	key	key	ADJ
cana-4447	130	13	landmarks	landmark	NOUN
cana-4447	130	14	(	(	PUNCT
cana-4447	130	15	left_wrist	left_wrist	NOUN
cana-4447	130	16	,	,	PUNCT
cana-4447	130	17	right_wrist	right_wrist	NOUN
cana-4447	130	18	,	,	PUNCT
cana-4447	130	19	left_hip	left_hip	NOUN
cana-4447	130	20	,	,	PUNCT
cana-4447	130	21	right_hip	right_hip	NOUN
cana-4447	130	22	,	,	PUNCT
cana-4447	130	23	left_ankle	left_ankle	NOUN
cana-4447	130	24	,	,	PUNCT
cana-4447	130	25	right_ankle	right_ankle	NOUN
cana-4447	130	26	)	)	PUNCT
cana-4447	130	27	of	of	ADP
cana-4447	130	28	both	both	PRON
cana-4447	130	29	predicted	predict	VERB
cana-4447	130	30	video	video	NOUN
cana-4447	130	31	frame	frame	NOUN
cana-4447	130	32	human	human	NOUN
cana-4447	130	33	(	(	PUNCT
cana-4447	130	34	train	train	NOUN
cana-4447	130	35	data	datum	NOUN
cana-4447	130	36	)	)	PUNCT
cana-4447	130	37	and	and	CCONJ
cana-4447	130	38	template	template	NOUN
cana-4447	130	39	humans	human	NOUN
cana-4447	130	40	(	(	PUNCT
cana-4447	130	41	test	test	NOUN
cana-4447	130	42	data	datum	NOUN
cana-4447	130	43	)	)	PUNCT
cana-4447	130	44	.	.	PUNCT
cana-4447	131	1	3	3	X
cana-4447	131	2	)	)	PUNCT
cana-4447	131	3	template	template	NOUN
cana-4447	131	4	matching	matching	NOUN
cana-4447	131	5	and	and	CCONJ
cana-4447	131	6	statistical	statistical	ADJ
cana-4447	131	7	approaches	approach	NOUN
cana-4447	131	8	(	(	PUNCT
cana-4447	131	9	tmsa	tmsa	NOUN
cana-4447	131	10	)	)	PUNCT
cana-4447	131	11	(	(	PUNCT
cana-4447	131	12	step-3	step-3	NUM
cana-4447	131	13	):	):	PUNCT
cana-4447	131	14	step-2	step-2	PROPN
cana-4447	131	15	calculated	calculate	VERB
cana-4447	131	16	d1	d1	PROPN
cana-4447	131	17	to	to	ADP
cana-4447	131	18	d10	d10	PROPN
cana-4447	131	19	values	value	NOUN
cana-4447	131	20	of	of	ADP
cana-4447	131	21	both	both	DET
cana-4447	131	22	train	train	NOUN
cana-4447	131	23	and	and	CCONJ
cana-4447	131	24	test	test	NOUN
cana-4447	131	25	data	datum	NOUN
cana-4447	131	26	has	have	AUX
cana-4447	131	27	been	be	AUX
cana-4447	131	28	used	use	VERB
cana-4447	131	29	to	to	PART
cana-4447	131	30	find	find	VERB
cana-4447	131	31	the	the	DET
cana-4447	131	32	similarity	similarity	NOUN
cana-4447	131	33	.	.	PUNCT
cana-4447	132	1	cross	cross	NOUN
cana-4447	132	2	-	-	NOUN
cana-4447	132	3	correlation	correlation	NOUN
cana-4447	132	4	(	(	PUNCT
cana-4447	132	5	cc	cc	NOUN
cana-4447	132	6	)	)	PUNCT
cana-4447	132	7	,	,	PUNCT
cana-4447	132	8	normalized	normalize	VERB
cana-4447	132	9	cross	cross	NOUN
cana-4447	132	10	correlation	correlation	NOUN
cana-4447	132	11	(	(	PUNCT
cana-4447	132	12	ncc	ncc	NOUN
cana-4447	132	13	)	)	PUNCT
cana-4447	132	14	,	,	PUNCT
cana-4447	132	15	and	and	CCONJ
cana-4447	132	16	sum	sum	NOUN
cana-4447	132	17	of	of	ADP
cana-4447	132	18	absolute	absolute	ADJ
cana-4447	132	19	difference	difference	NOUN
cana-4447	132	20	(	(	PUNCT
cana-4447	132	21	sad	sad	ADJ
cana-4447	132	22	)	)	PUNCT
cana-4447	132	23	methods	method	NOUN
cana-4447	132	24	measured	measure	VERB
cana-4447	132	25	the	the	DET
cana-4447	132	26	similarity	similarity	NOUN
cana-4447	132	27	to	to	PART
cana-4447	132	28	predict	predict	VERB
cana-4447	132	29	a	a	DET
cana-4447	132	30	single	single	ADJ
cana-4447	132	31	human	human	ADJ
cana-4447	132	32	crime	crime	NOUN
cana-4447	132	33	activity	activity	NOUN
cana-4447	132	34	in	in	ADP
cana-4447	132	35	video	video	NOUN
cana-4447	132	36	frames	frame	NOUN
cana-4447	132	37	.	.	PUNCT
cana-4447	133	1	figure	figure	NOUN
cana-4447	133	2	1	1	NUM
cana-4447	133	3	.	.	PUNCT
cana-4447	133	4	block	block	NOUN
cana-4447	133	5	diagram	diagram	NOUN
cana-4447	133	6	of	of	ADP
cana-4447	133	7	novelhap	novelhap	ADV
cana-4447	133	8	proposed	propose	VERB
cana-4447	133	9	methodology	methodology	NOUN
cana-4447	133	10	2.1	2.1	NUM
cana-4447	133	11	.	.	PUNCT
cana-4447	134	1	step-1	step-1	PROPN
cana-4447	134	2	:	:	PUNCT
cana-4447	134	3	kalman	kalman	NOUN
cana-4447	134	4	filter	filter	PROPN
cana-4447	134	5	algorithm	algorithm	PROPN
cana-4447	134	6	-	-	PUNCT
cana-4447	134	7	kfa	kfa	NOUN
cana-4447	134	8	the	the	DET
cana-4447	134	9	kalman	kalman	PROPN
cana-4447	134	10	filter	filter	NOUN
cana-4447	134	11	is	be	AUX
cana-4447	134	12	an	an	DET
cana-4447	134	13	algorithm	algorithm	NOUN
cana-4447	134	14	that	that	PRON
cana-4447	134	15	assesses	assess	VERB
cana-4447	134	16	a	a	DET
cana-4447	134	17	system	system	NOUN
cana-4447	134	18	's	's	PART
cana-4447	134	19	state	state	NOUN
cana-4447	134	20	by	by	ADP
cana-4447	134	21	integrating	integrate	VERB
cana-4447	134	22	a	a	DET
cana-4447	134	23	sequence	sequence	NOUN
cana-4447	134	24	of	of	ADP
cana-4447	134	25	measurements	measurement	NOUN
cana-4447	134	26	collected	collect	VERB
cana-4447	134	27	over	over	ADP
cana-4447	134	28	time	time	NOUN
cana-4447	134	29	,	,	PUNCT
cana-4447	134	30	accommodating	accommodate	VERB
cana-4447	134	31	statistical	statistical	ADJ
cana-4447	134	32	noise	noise	NOUN
cana-4447	134	33	.	.	PUNCT
cana-4447	135	1	it	it	PRON
cana-4447	135	2	provides	provide	VERB
cana-4447	135	3	a	a	DET
cana-4447	135	4	future	future	ADJ
cana-4447	135	5	state	state	NOUN
cana-4447	135	6	prediction	prediction	NOUN
cana-4447	135	7	based	base	VERB
cana-4447	135	8	on	on	ADP
cana-4447	135	9	the	the	DET
cana-4447	135	10	previous	previous	ADJ
cana-4447	135	11	estimation	estimation	NOUN
cana-4447	135	12	.	.	PUNCT
cana-4447	136	1	the	the	DET
cana-4447	136	2	kalman	kalman	PROPN
cana-4447	136	3	filter	filter	NOUN
cana-4447	136	4	has	have	AUX
cana-4447	136	5	been	be	AUX
cana-4447	136	6	acknowledged	acknowledge	VERB
cana-4447	136	7	as	as	ADP
cana-4447	136	8	the	the	DET
cana-4447	136	9	ideal	ideal	ADJ
cana-4447	136	10	choice	choice	NOUN
cana-4447	136	11	for	for	ADP
cana-4447	136	12	several	several	ADJ
cana-4447	136	13	applications	application	NOUN
cana-4447	136	14	,	,	PUNCT
cana-4447	136	15	including	include	VERB
cana-4447	136	16	robotics	robotic	NOUN
cana-4447	136	17	,	,	PUNCT
cana-4447	136	18	image	image	NOUN
cana-4447	136	19	systems	system	NOUN
cana-4447	136	20	,	,	PUNCT
cana-4447	136	21	surveillance	surveillance	NOUN
cana-4447	136	22	systems	system	NOUN
cana-4447	136	23	,	,	PUNCT
cana-4447	136	24	etc	etc	X
cana-4447	136	25	,	,	PUNCT
cana-4447	136	26	in	in	ADP
cana-4447	136	27	computer	computer	NOUN
cana-4447	136	28	vision	vision	NOUN
cana-4447	136	29	,	,	PUNCT
cana-4447	136	30	for	for	ADP
cana-4447	136	31	instance	instance	NOUN
cana-4447	136	32	,	,	PUNCT
cana-4447	136	33	tracking	track	VERB
cana-4447	136	34	objects	object	NOUN
cana-4447	136	35	[	[	X
cana-4447	136	36	5	5	NUM
cana-4447	136	37	]	]	PUNCT
cana-4447	136	38	(	(	PUNCT
cana-4447	136	39	mono	mono	NOUN
cana-4447	136	40	-	-	PUNCT
cana-4447	136	41	objects	object	NOUN
cana-4447	136	42	and	and	CCONJ
cana-4447	136	43	multi	multi	NOUN
cana-4447	136	44	-	-	NOUN
cana-4447	136	45	objects	object	NOUN
cana-4447	136	46	)	)	PUNCT
cana-4447	136	47	,	,	PUNCT
cana-4447	136	48	prediction	prediction	NOUN
cana-4447	136	49	,	,	PUNCT
cana-4447	136	50	and	and	CCONJ
cana-4447	136	51	correction	correction	NOUN
cana-4447	136	52	tasks	task	NOUN
cana-4447	136	53	.	.	PUNCT
cana-4447	137	1	the	the	DET
cana-4447	137	2	kalman	kalman	PROPN
cana-4447	137	3	filter	filter	NOUN
cana-4447	137	4	is	be	AUX
cana-4447	137	5	delineated	delineate	VERB
cana-4447	137	6	in	in	ADP
cana-4447	137	7	three	three	NUM
cana-4447	137	8	stages	stage	NOUN
cana-4447	137	9	as	as	SCONJ
cana-4447	137	10	shown	show	VERB
cana-4447	137	11	in	in	ADP
cana-4447	137	12	figures	figure	NOUN
cana-4447	137	13	2(a	2(a	NUM
cana-4447	137	14	)	)	PUNCT
cana-4447	137	15	and	and	CCONJ
cana-4447	137	16	(	(	PUNCT
cana-4447	137	17	b	b	NOUN
cana-4447	137	18	):	):	PUNCT
cana-4447	137	19	prediction	prediction	NOUN
cana-4447	137	20	,	,	PUNCT
cana-4447	137	21	estimation	estimation	NOUN
cana-4447	137	22	(	(	PUNCT
cana-4447	137	23	correction	correction	NOUN
cana-4447	137	24	)	)	PUNCT
cana-4447	137	25	,	,	PUNCT
cana-4447	137	26	and	and	CCONJ
cana-4447	137	27	updating	update	VERB
cana-4447	137	28	.	.	PUNCT
cana-4447	138	1	predicting	predict	VERB
cana-4447	138	2	the	the	DET
cana-4447	138	3	parameters	parameter	NOUN
cana-4447	138	4	of	of	ADP
cana-4447	138	5	the	the	DET
cana-4447	138	6	tracking	tracking	NOUN
cana-4447	138	7	and	and	CCONJ
cana-4447	138	8	detection	detection	NOUN
cana-4447	138	9	objects	object	NOUN
cana-4447	138	10	is	be	AUX
cana-4447	138	11	the	the	DET
cana-4447	138	12	first	first	ADJ
cana-4447	138	13	step	step	NOUN
cana-4447	138	14	.	.	PUNCT
cana-4447	139	1	prediction	prediction	NOUN
cana-4447	139	2	parameters	parameter	NOUN
cana-4447	139	3	are	be	AUX
cana-4447	139	4	estimated	estimate	VERB
cana-4447	139	5	and	and	CCONJ
cana-4447	139	6	corrected	correct	VERB
cana-4447	139	7	in	in	ADP
cana-4447	139	8	the	the	DET
cana-4447	139	9	second	second	ADJ
cana-4447	139	10	step	step	NOUN
cana-4447	139	11	.	.	PUNCT
cana-4447	140	1	the	the	DET
cana-4447	140	2	third	third	ADJ
cana-4447	140	3	step	step	NOUN
cana-4447	140	4	is	be	AUX
cana-4447	140	5	to	to	PART
cana-4447	140	6	update	update	VERB
cana-4447	140	7	predictions	prediction	NOUN
cana-4447	140	8	based	base	VERB
cana-4447	140	9	on	on	ADP
cana-4447	140	10	errors	error	NOUN
cana-4447	140	11	[	[	X
cana-4447	140	12	2	2	NUM
cana-4447	140	13	]	]	PUNCT
cana-4447	140	14	,	,	PUNCT
cana-4447	140	15	[	[	X
cana-4447	140	16	3],[4	3],[4	NUM
cana-4447	140	17	]	]	PUNCT
cana-4447	140	18	.	.	PUNCT
cana-4447	141	1	communications	communication	NOUN
cana-4447	141	2	on	on	ADP
cana-4447	141	3	applied	apply	VERB
cana-4447	141	4	nonlinear	nonlinear	ADJ
cana-4447	141	5	analysis	analysis	NOUN
cana-4447	141	6	issn	issn	NOUN
cana-4447	141	7	:	:	PUNCT
cana-4447	141	8	1074	1074	NUM
cana-4447	141	9	-	-	PUNCT
cana-4447	141	10	133x	133x	NUM
cana-4447	141	11	vol	vol	NOUN
cana-4447	141	12	32	32	NUM
cana-4447	141	13	no	no	NOUN
cana-4447	141	14	.	.	PUNCT
cana-4447	142	1	9s	9s	NUM
cana-4447	142	2	(	(	PUNCT
cana-4447	142	3	2025	2025	NUM
cana-4447	142	4	)	)	PUNCT
cana-4447	142	5	2056	2056	NUM
cana-4447	142	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-4447	143	1	the	the	DET
cana-4447	143	2	kalman	kalman	PROPN
cana-4447	143	3	filter	filter	NOUN
cana-4447	143	4	is	be	AUX
cana-4447	143	5	a	a	DET
cana-4447	143	6	predictive	predictive	ADJ
cana-4447	143	7	correction	correction	NOUN
cana-4447	143	8	filter	filter	NOUN
cana-4447	143	9	.	.	PUNCT
cana-4447	144	1	this	this	DET
cana-4447	144	2	filter	filter	NOUN
cana-4447	144	3	examines	examine	VERB
cana-4447	144	4	an	an	DET
cana-4447	144	5	object	object	NOUN
cana-4447	144	6	as	as	SCONJ
cana-4447	144	7	it	it	PRON
cana-4447	144	8	moves	move	VERB
cana-4447	144	9	during	during	ADP
cana-4447	144	10	the	the	DET
cana-4447	144	11	tracking	tracking	NOUN
cana-4447	144	12	and	and	CCONJ
cana-4447	144	13	detection	detection	NOUN
cana-4447	144	14	process	process	NOUN
cana-4447	144	15	,	,	PUNCT
cana-4447	144	16	gathering	gather	VERB
cana-4447	144	17	information	information	NOUN
cana-4447	144	18	on	on	ADP
cana-4447	144	19	the	the	DET
cana-4447	144	20	object	object	NOUN
cana-4447	144	21	's	's	PART
cana-4447	144	22	status	status	NOUN
cana-4447	144	23	at	at	ADP
cana-4447	144	24	that	that	DET
cana-4447	144	25	specific	specific	ADJ
cana-4447	144	26	instant	instant	NOUN
cana-4447	144	27	.	.	PUNCT
cana-4447	145	1	kf	kf	PROPN
cana-4447	145	2	uses	use	VERB
cana-4447	145	3	the	the	DET
cana-4447	145	4	gathered	gather	VERB
cana-4447	145	5	information	information	NOUN
cana-4447	145	6	to	to	PART
cana-4447	145	7	predict	predict	VERB
cana-4447	145	8	the	the	DET
cana-4447	145	9	object	object	NOUN
cana-4447	145	10	's	's	PART
cana-4447	145	11	position	position	NOUN
cana-4447	145	12	in	in	ADP
cana-4447	145	13	the	the	DET
cana-4447	145	14	subsequent	subsequent	ADJ
cana-4447	145	15	frame	frame	NOUN
cana-4447	145	16	.	.	PUNCT
cana-4447	146	1	the	the	DET
cana-4447	146	2	kalman	kalman	PROPN
cana-4447	146	3	filter	filter	PROPN
cana-4447	146	4	accepts	accept	VERB
cana-4447	146	5	a	a	DET
cana-4447	146	6	measurement	measurement	NOUN
cana-4447	146	7	vector	vector	NOUN
cana-4447	146	8	comprising	comprise	VERB
cana-4447	146	9	the	the	DET
cana-4447	146	10	object	object	NOUN
cana-4447	146	11	's	's	PART
cana-4447	146	12	position	position	NOUN
cana-4447	146	13	in	in	ADP
cana-4447	146	14	x	x	NOUN
cana-4447	146	15	,	,	PUNCT
cana-4447	146	16	and	and	CCONJ
cana-4447	146	17	y	y	PROPN
cana-4447	146	18	coordinates	coordinate	NOUN
cana-4447	146	19	,	,	PUNCT
cana-4447	146	20	width	width	ADJ
cana-4447	146	21	,	,	PUNCT
cana-4447	146	22	and	and	CCONJ
cana-4447	146	23	height	height	NOUN
cana-4447	146	24	.	.	PUNCT
cana-4447	147	1	it	it	PRON
cana-4447	147	2	subsequently	subsequently	ADV
cana-4447	147	3	uses	use	VERB
cana-4447	147	4	internal	internal	ADJ
cana-4447	147	5	parameters	parameter	NOUN
cana-4447	147	6	(	(	PUNCT
cana-4447	147	7	position	position	NOUN
cana-4447	147	8	,	,	PUNCT
cana-4447	147	9	velocity	velocity	NOUN
cana-4447	147	10	,	,	PUNCT
cana-4447	147	11	and	and	CCONJ
cana-4447	147	12	acceleration	acceleration	NOUN
cana-4447	147	13	in	in	ADP
cana-4447	147	14	the	the	DET
cana-4447	147	15	x	x	NOUN
cana-4447	147	16	and	and	CCONJ
cana-4447	147	17	y	y	PROPN
cana-4447	147	18	axes	axis	NOUN
cana-4447	147	19	,	,	PUNCT
cana-4447	147	20	together	together	ADV
cana-4447	147	21	with	with	ADP
cana-4447	147	22	height	height	NOUN
cana-4447	147	23	and	and	CCONJ
cana-4447	147	24	width	width	NOUN
cana-4447	147	25	)	)	PUNCT
cana-4447	147	26	to	to	PART
cana-4447	147	27	predict	predict	VERB
cana-4447	147	28	and	and	CCONJ
cana-4447	147	29	assess	assess	VERB
cana-4447	147	30	the	the	DET
cana-4447	147	31	variables	variable	NOUN
cana-4447	147	32	.	.	PUNCT
cana-4447	148	1	the	the	DET
cana-4447	148	2	result	result	NOUN
cana-4447	148	3	is	be	AUX
cana-4447	148	4	an	an	DET
cana-4447	148	5	approximation	approximation	NOUN
cana-4447	148	6	of	of	ADP
cana-4447	148	7	the	the	DET
cana-4447	148	8	measurement	measurement	NOUN
cana-4447	148	9	.	.	PUNCT
cana-4447	149	1	the	the	DET
cana-4447	149	2	kalman	kalman	PROPN
cana-4447	149	3	filter	filter	NOUN
cana-4447	149	4	can	can	AUX
cana-4447	149	5	be	be	AUX
cana-4447	149	6	employed	employ	VERB
cana-4447	149	7	to	to	PART
cana-4447	149	8	estimate	estimate	VERB
cana-4447	149	9	the	the	DET
cana-4447	149	10	motion	motion	NOUN
cana-4447	149	11	states	state	NOUN
cana-4447	149	12	of	of	ADP
cana-4447	149	13	a	a	DET
cana-4447	149	14	moving	move	VERB
cana-4447	149	15	object	object	NOUN
cana-4447	149	16	[	[	X
cana-4447	149	17	3	3	NUM
cana-4447	149	18	]	]	PUNCT
cana-4447	149	19	.	.	PUNCT
cana-4447	150	1	figure	figure	NOUN
cana-4447	150	2	2	2	NUM
cana-4447	150	3	.	.	PUNCT
cana-4447	151	1	(	(	PUNCT
cana-4447	151	2	a	a	X
cana-4447	151	3	)	)	PUNCT
cana-4447	151	4	the	the	DET
cana-4447	151	5	data	data	NOUN
cana-4447	151	6	flow	flow	NOUN
cana-4447	151	7	diagram	diagram	NOUN
cana-4447	151	8	for	for	ADP
cana-4447	151	9	a	a	DET
cana-4447	151	10	kalman	kalman	NOUN
cana-4447	151	11	filter	filter	NOUN
cana-4447	151	12	(	(	PUNCT
cana-4447	151	13	b	b	NOUN
cana-4447	151	14	)	)	PUNCT
cana-4447	151	15	internal	internal	ADJ
cana-4447	151	16	process	process	NOUN
cana-4447	151	17	of	of	ADP
cana-4447	151	18	kalman	kalman	PROPN
cana-4447	151	19	filter	filter	NOUN
cana-4447	151	20	this	this	DET
cana-4447	151	21	study	study	NOUN
cana-4447	151	22	uses	use	VERB
cana-4447	151	23	the	the	DET
cana-4447	151	24	kalman	kalman	NOUN
cana-4447	151	25	filter	filter	NOUN
cana-4447	151	26	to	to	PART
cana-4447	151	27	develop	develop	VERB
cana-4447	151	28	an	an	DET
cana-4447	151	29	object	object	NOUN
cana-4447	151	30	motion	motion	NOUN
cana-4447	151	31	model	model	NOUN
cana-4447	151	32	that	that	PRON
cana-4447	151	33	utilizes	utilize	VERB
cana-4447	151	34	current	current	ADJ
cana-4447	151	35	object	object	NOUN
cana-4447	151	36	data	datum	NOUN
cana-4447	151	37	to	to	PART
cana-4447	151	38	predict	predict	VERB
cana-4447	151	39	its	its	PRON
cana-4447	151	40	position	position	NOUN
cana-4447	151	41	,	,	PUNCT
cana-4447	151	42	minimizing	minimize	VERB
cana-4447	151	43	the	the	DET
cana-4447	151	44	search	search	NOUN
cana-4447	151	45	area	area	NOUN
cana-4447	151	46	and	and	CCONJ
cana-4447	151	47	duration	duration	NOUN
cana-4447	151	48	for	for	ADP
cana-4447	151	49	moving	move	VERB
cana-4447	151	50	objects	object	NOUN
cana-4447	151	51	,	,	PUNCT
cana-4447	151	52	and	and	CCONJ
cana-4447	151	53	facilitating	facilitate	VERB
cana-4447	151	54	rapid	rapid	ADJ
cana-4447	151	55	tracking	tracking	NOUN
cana-4447	151	56	.	.	PUNCT
cana-4447	152	1	the	the	DET
cana-4447	152	2	analysis	analysis	NOUN
cana-4447	152	3	of	of	ADP
cana-4447	152	4	many	many	ADJ
cana-4447	152	5	objects	object	NOUN
cana-4447	152	6	in	in	ADP
cana-4447	152	7	a	a	DET
cana-4447	152	8	video	video	NOUN
cana-4447	152	9	sequence	sequence	NOUN
cana-4447	152	10	is	be	AUX
cana-4447	152	11	divided	divide	VERB
cana-4447	152	12	into	into	ADP
cana-4447	152	13	three	three	NUM
cana-4447	152	14	steps	step	NOUN
cana-4447	152	15	.	.	PUNCT
cana-4447	153	1	the	the	DET
cana-4447	153	2	initial	initial	ADJ
cana-4447	153	3	phase	phase	NOUN
cana-4447	153	4	entails	entail	VERB
cana-4447	153	5	identifying	identify	VERB
cana-4447	153	6	dynamic	dynamic	ADJ
cana-4447	153	7	objects	object	NOUN
cana-4447	153	8	.	.	PUNCT
cana-4447	154	1	subsequently	subsequently	ADV
cana-4447	154	2	,	,	PUNCT
cana-4447	154	3	the	the	DET
cana-4447	154	4	phase	phase	NOUN
cana-4447	154	5	of	of	ADP
cana-4447	154	6	tracking	track	VERB
cana-4447	154	7	the	the	DET
cana-4447	154	8	objects	object	NOUN
cana-4447	154	9	from	from	ADP
cana-4447	154	10	one	one	NUM
cana-4447	154	11	image	image	NOUN
cana-4447	154	12	to	to	ADP
cana-4447	154	13	the	the	DET
cana-4447	154	14	next	next	ADJ
cana-4447	154	15	occurs	occur	NOUN
cana-4447	154	16	,	,	PUNCT
cana-4447	154	17	followed	follow	VERB
cana-4447	154	18	by	by	ADP
cana-4447	154	19	the	the	DET
cana-4447	154	20	assessment	assessment	NOUN
cana-4447	154	21	of	of	ADP
cana-4447	154	22	the	the	DET
cana-4447	154	23	trajectories	trajectory	NOUN
cana-4447	154	24	to	to	PART
cana-4447	154	25	identify	identify	VERB
cana-4447	154	26	their	their	PRON
cana-4447	154	27	activities	activity	NOUN
cana-4447	154	28	.	.	PUNCT
cana-4447	155	1	2.1.1	2.1.1	X
cana-4447	155	2	.	.	PUNCT
cana-4447	155	3	key	key	ADJ
cana-4447	155	4	aspects	aspect	NOUN
cana-4447	155	5	of	of	ADP
cana-4447	155	6	kalman	kalman	PROPN
cana-4447	155	7	filter	filter	PROPN
cana-4447	155	8	the	the	DET
cana-4447	155	9	kalman	kalman	PROPN
cana-4447	155	10	filter	filter	PROPN
cana-4447	155	11	(	(	PUNCT
cana-4447	155	12	kf	kf	PROPN
cana-4447	155	13	)	)	PUNCT
cana-4447	155	14	is	be	AUX
cana-4447	155	15	a	a	DET
cana-4447	155	16	mathematical	mathematical	ADJ
cana-4447	155	17	estimator	estimator	NOUN
cana-4447	155	18	utilized	utilize	VERB
cana-4447	155	19	for	for	ADP
cana-4447	155	20	predicting	predict	VERB
cana-4447	155	21	and	and	CCONJ
cana-4447	155	22	correcting	correct	VERB
cana-4447	155	23	the	the	DET
cana-4447	155	24	states	state	NOUN
cana-4447	155	25	of	of	ADP
cana-4447	155	26	various	various	ADJ
cana-4447	155	27	linear	linear	NOUN
cana-4447	155	28	systems	system	NOUN
cana-4447	155	29	.	.	PUNCT
cana-4447	156	1	it	it	PRON
cana-4447	156	2	is	be	AUX
cana-4447	156	3	both	both	CCONJ
cana-4447	156	4	pragmatic	pragmatic	ADJ
cana-4447	156	5	and	and	CCONJ
cana-4447	156	6	philosophically	philosophically	ADV
cana-4447	156	7	attractive	attractive	ADJ
cana-4447	156	8	;	;	PUNCT
cana-4447	156	9	specifically	specifically	ADV
cana-4447	156	10	,	,	PUNCT
cana-4447	156	11	the	the	DET
cana-4447	156	12	optimal	optimal	ADJ
cana-4447	156	13	state	state	NOUN
cana-4447	156	14	is	be	AUX
cana-4447	156	15	achieved	achieve	VERB
cana-4447	156	16	recursively	recursively	ADV
cana-4447	156	17	with	with	ADP
cana-4447	156	18	minimal	minimal	ADJ
cana-4447	156	19	variance	variance	NOUN
cana-4447	156	20	error	error	NOUN
cana-4447	156	21	.	.	PUNCT
cana-4447	157	1	however	however	ADV
cana-4447	157	2	,	,	PUNCT
cana-4447	157	3	a	a	DET
cana-4447	157	4	precise	precise	ADJ
cana-4447	157	5	model	model	NOUN
cana-4447	157	6	is	be	AUX
cana-4447	157	7	necessary	necessary	ADJ
cana-4447	157	8	.	.	PUNCT
cana-4447	158	1	the	the	DET
cana-4447	158	2	kalman	kalman	PROPN
cana-4447	158	3	filter	filter	PROPN
cana-4447	158	4	possesses	possess	VERB
cana-4447	158	5	numerous	numerous	ADJ
cana-4447	158	6	critical	critical	ADJ
cana-4447	158	7	elements	element	NOUN
cana-4447	158	8	for	for	ADP
cana-4447	158	9	estimating	estimate	VERB
cana-4447	158	10	challenges	challenge	NOUN
cana-4447	158	11	in	in	ADP
cana-4447	158	12	computer	computer	NOUN
cana-4447	158	13	vision	vision	NOUN
cana-4447	158	14	using	use	VERB
cana-4447	158	15	python	python	NOUN
cana-4447	158	16	.	.	PUNCT
cana-4447	159	1	these	these	DET
cana-4447	159	2	components	component	NOUN
cana-4447	159	3	encompass	encompass	VERB
cana-4447	159	4	:	:	PUNCT
cana-4447	159	5	a	a	X
cana-4447	159	6	)	)	PUNCT
cana-4447	159	7	state	state	NOUN
cana-4447	159	8	space	space	NOUN
cana-4447	159	9	model	model	NOUN
cana-4447	159	10	:	:	PUNCT
cana-4447	159	11	the	the	DET
cana-4447	159	12	kf	kf	PROPN
cana-4447	159	13	represents	represent	VERB
cana-4447	159	14	the	the	DET
cana-4447	159	15	system	system	NOUN
cana-4447	159	16	through	through	ADP
cana-4447	159	17	a	a	DET
cana-4447	159	18	series	series	NOUN
cana-4447	159	19	of	of	ADP
cana-4447	159	20	mathematical	mathematical	ADJ
cana-4447	159	21	equations	equation	NOUN
cana-4447	159	22	that	that	PRON
cana-4447	159	23	delineate	delineate	VERB
cana-4447	159	24	the	the	DET
cana-4447	159	25	system	system	NOUN
cana-4447	159	26	's	's	PART
cana-4447	159	27	state	state	NOUN
cana-4447	159	28	,	,	PUNCT
cana-4447	159	29	measurements	measurement	NOUN
cana-4447	159	30	,	,	PUNCT
cana-4447	159	31	and	and	CCONJ
cana-4447	159	32	inherent	inherent	ADJ
cana-4447	159	33	noise	noise	NOUN
cana-4447	159	34	b	b	NOUN
cana-4447	159	35	)	)	PUNCT
cana-4447	159	36	prediction	prediction	NOUN
cana-4447	159	37	step	step	NOUN
cana-4447	159	38	:	:	PUNCT
cana-4447	159	39	the	the	DET
cana-4447	159	40	kf	kf	PROPN
cana-4447	159	41	forecasts	forecast	VERB
cana-4447	159	42	the	the	DET
cana-4447	159	43	subsequent	subsequent	ADJ
cana-4447	159	44	state	state	NOUN
cana-4447	159	45	of	of	ADP
cana-4447	159	46	the	the	DET
cana-4447	159	47	system	system	NOUN
cana-4447	159	48	utilizing	utilize	VERB
cana-4447	159	49	the	the	DET
cana-4447	159	50	prior	prior	ADJ
cana-4447	159	51	state	state	NOUN
cana-4447	159	52	and	and	CCONJ
cana-4447	159	53	the	the	DET
cana-4447	159	54	mathematical	mathematical	ADJ
cana-4447	159	55	model	model	NOUN
cana-4447	159	56	of	of	ADP
cana-4447	159	57	the	the	DET
cana-4447	159	58	system	system	NOUN
cana-4447	159	59	c	c	NOUN
cana-4447	159	60	)	)	PUNCT
cana-4447	159	61	correction	correction	NOUN
cana-4447	159	62	step	step	NOUN
cana-4447	159	63	:	:	PUNCT
cana-4447	159	64	the	the	DET
cana-4447	159	65	kf	kf	PROPN
cana-4447	159	66	corrects	correct	VERB
cana-4447	159	67	the	the	DET
cana-4447	159	68	predicted	predict	VERB
cana-4447	159	69	state	state	NOUN
cana-4447	159	70	by	by	ADP
cana-4447	159	71	incorporating	incorporate	VERB
cana-4447	159	72	the	the	DET
cana-4447	159	73	measurements	measurement	NOUN
cana-4447	159	74	acquired	acquire	VERB
cana-4447	159	75	from	from	ADP
cana-4447	159	76	the	the	DET
cana-4447	159	77	system	system	NOUN
cana-4447	159	78	.	.	PUNCT
cana-4447	160	1	in	in	ADP
cana-4447	160	2	kalman	kalman	PROPN
cana-4447	160	3	filtering	filtering	PROPN
cana-4447	160	4	analyses	analyse	VERB
cana-4447	160	5	a	a	DET
cana-4447	160	6	tracking	tracking	NOUN
cana-4447	160	7	system	system	NOUN
cana-4447	160	8	where	where	SCONJ
cana-4447	160	9	𝑥𝑘	𝑥𝑘	PRON
cana-4447	160	10	represents	represent	VERB
cana-4447	160	11	the	the	DET
cana-4447	160	12	magnitude	magnitude	NOUN
cana-4447	160	13	of	of	ADP
cana-4447	160	14	the	the	DET
cana-4447	160	15	state	state	NOUN
cana-4447	160	16	vector	vector	NOUN
cana-4447	160	17	(	(	PUNCT
cana-4447	160	18	or	or	CCONJ
cana-4447	160	19	location	location	NOUN
cana-4447	160	20	and	and	CCONJ
cana-4447	160	21	velocity	velocity	NOUN
cana-4447	160	22	)	)	PUNCT
cana-4447	160	23	defined	define	VERB
cana-4447	160	24	in	in	ADP
cana-4447	160	25	eq	eq	ADP
cana-4447	160	26	.	.	PUNCT
cana-4447	161	1	(	(	PUNCT
cana-4447	161	2	1	1	NUM
cana-4447	161	3	)	)	PUNCT
cana-4447	161	4	,	,	PUNCT
cana-4447	161	5	which	which	PRON
cana-4447	161	6	represents	represent	VERB
cana-4447	161	7	the	the	DET
cana-4447	161	8	object	object	NOUN
cana-4447	161	9	's	's	PART
cana-4447	161	10	dynamic	dynamic	ADJ
cana-4447	161	11	behavior	behavior	NOUN
cana-4447	161	12	,	,	PUNCT
cana-4447	161	13	and	and	CCONJ
cana-4447	161	14	subscript	subscript	PROPN
cana-4447	161	15	k	k	PROPN
cana-4447	161	16	signifies	signify	VERB
cana-4447	161	17	discrete	discrete	ADJ
cana-4447	161	18	time	time	NOUN
cana-4447	161	19	.	.	PUNCT
cana-4447	162	1	the	the	DET
cana-4447	162	2	objective	objective	NOUN
cana-4447	162	3	is	be	AUX
cana-4447	162	4	to	to	PART
cana-4447	162	5	estimate	estimate	VERB
cana-4447	162	6	𝑥𝑘	𝑥𝑘	PROPN
cana-4447	162	7	from	from	ADP
cana-4447	162	8	the	the	DET
cana-4447	162	9	measurement	measurement	NOUN
cana-4447	162	10	𝑧𝑘	𝑧𝑘	PRON
cana-4447	162	11	specified	specify	VERB
cana-4447	162	12	in	in	ADP
cana-4447	162	13	eq	eq	ADP
cana-4447	162	14	.	.	PUNCT
cana-4447	163	1	(	(	PUNCT
cana-4447	163	2	3	3	NUM
cana-4447	163	3	)	)	PUNCT
cana-4447	163	4	.	.	PUNCT
cana-4447	164	1	the	the	DET
cana-4447	164	2	following	follow	VERB
cana-4447	164	3	is	be	AUX
cana-4447	164	4	a	a	DET
cana-4447	164	5	four	four	NUM
cana-4447	164	6	-	-	PUNCT
cana-4447	164	7	phase	phase	NOUN
cana-4447	164	8	mathematical	mathematical	ADJ
cana-4447	164	9	description	description	NOUN
cana-4447	164	10	of	of	ADP
cana-4447	164	11	the	the	DET
cana-4447	164	12	kalman	kalman	PROPN
cana-4447	164	13	filter	filter	NOUN
cana-4447	164	14	which	which	PRON
cana-4447	164	15	is	be	AUX
cana-4447	164	16	intended	intend	VERB
cana-4447	164	17	to	to	PART
cana-4447	164	18	understand	understand	VERB
cana-4447	164	19	the	the	DET
cana-4447	164	20	key	key	ADJ
cana-4447	164	21	aspects	aspect	NOUN
cana-4447	164	22	of	of	ADP
cana-4447	164	23	the	the	DET
cana-4447	164	24	kf	kf	PROPN
cana-4447	164	25	.	.	PUNCT
cana-4447	165	1	communications	communication	NOUN
cana-4447	165	2	on	on	ADP
cana-4447	165	3	applied	apply	VERB
cana-4447	165	4	nonlinear	nonlinear	ADJ
cana-4447	165	5	analysis	analysis	NOUN
cana-4447	165	6	issn	issn	NOUN
cana-4447	165	7	:	:	PUNCT
cana-4447	165	8	1074	1074	NUM
cana-4447	165	9	-	-	PUNCT
cana-4447	165	10	133x	133x	NUM
cana-4447	165	11	vol	vol	NOUN
cana-4447	165	12	32	32	NUM
cana-4447	165	13	no	no	NOUN
cana-4447	165	14	.	.	PUNCT
cana-4447	166	1	9s	9s	NUM
cana-4447	166	2	(	(	PUNCT
cana-4447	166	3	2025	2025	NUM
cana-4447	166	4	)	)	PUNCT
cana-4447	166	5	2057	2057	NUM
cana-4447	166	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-4447	166	7	a	a	PRON
cana-4447	166	8	)	)	PUNCT
cana-4447	166	9	state	state	NOUN
cana-4447	166	10	space	space	NOUN
cana-4447	166	11	model	model	NOUN
cana-4447	166	12	(	(	PUNCT
cana-4447	166	13	2	2	NUM
cana-4447	166	14	phases	phase	NOUN
cana-4447	166	15	)	)	PUNCT
cana-4447	166	16	1	1	NUM
cana-4447	166	17	.	.	PUNCT
cana-4447	166	18	process	process	NOUN
cana-4447	166	19	equation	equation	NOUN
cana-4447	166	20	:	:	PUNCT
cana-4447	166	21	𝑥𝑘	𝑥𝑘	X
cana-4447	166	22	=	=	PUNCT
cana-4447	166	23	𝑨𝑥𝑘−1	𝑨𝑥𝑘−1	PROPN
cana-4447	166	24	+	+	CCONJ
cana-4447	166	25	𝑤𝑘−1	𝑤𝑘−1	NOUN
cana-4447	166	26	(	(	PUNCT
cana-4447	166	27	1	1	NUM
cana-4447	166	28	)	)	PUNCT
cana-4447	166	29	𝑥𝑘	𝑥𝑘	NOUN
cana-4447	166	30	:	:	PUNCT
cana-4447	166	31	state	state	NOUN
cana-4447	166	32	at	at	ADP
cana-4447	166	33	time	time	NOUN
cana-4447	166	34	k-1	k-1	PROPN
cana-4447	166	35	to	to	ADP
cana-4447	166	36	k	k	PROPN
cana-4447	166	37	a	a	DET
cana-4447	166	38	:	:	PUNCT
cana-4447	166	39	transition	transition	NOUN
cana-4447	166	40	matrix	matrix	NOUN
cana-4447	166	41	𝑤𝑘−1	𝑤𝑘−1	NOUN
cana-4447	166	42	:	:	PUNCT
cana-4447	166	43	gaussian	gaussian	ADJ
cana-4447	166	44	process	process	NOUN
cana-4447	166	45	noise	noise	NOUN
cana-4447	166	46	n	n	CCONJ
cana-4447	166	47	(	(	PUNCT
cana-4447	166	48	.	.	PUNCT
cana-4447	166	49	)	)	PUNCT
cana-4447	166	50	with	with	ADP
cana-4447	166	51	𝑝(𝑤	𝑝(𝑤	PROPN
cana-4447	166	52	)	)	PUNCT
cana-4447	166	53	𝑝(𝑤	𝑝(𝑤	PROPN
cana-4447	166	54	):	):	PUNCT
cana-4447	166	55	normal	normal	ADJ
cana-4447	166	56	probability	probability	NOUN
cana-4447	166	57	distribution	distribution	NOUN
cana-4447	166	58	defined	define	VERB
cana-4447	166	59	in	in	ADP
cana-4447	166	60	eq	eq	ADP
cana-4447	166	61	.	.	PUNCT
cana-4447	167	1	(	(	PUNCT
cana-4447	167	2	2	2	NUM
cana-4447	167	3	)	)	PUNCT
cana-4447	167	4	𝑃(𝑤	𝑃(𝑤	NUM
cana-4447	167	5	)	)	PUNCT
cana-4447	167	6	~	~	PUNCT
cana-4447	167	7	n(0	n(0	PROPN
cana-4447	167	8	,	,	PUNCT
cana-4447	167	9	q	q	NOUN
cana-4447	167	10	)	)	PUNCT
cana-4447	167	11	(	(	PUNCT
cana-4447	167	12	2	2	X
cana-4447	167	13	)	)	PUNCT
cana-4447	167	14	𝑃	𝑃	NOUN
cana-4447	167	15	:	:	PUNCT
cana-4447	167	16	the	the	DET
cana-4447	167	17	current	current	ADJ
cana-4447	167	18	state	state	NOUN
cana-4447	167	19	covariance	covariance	NOUN
cana-4447	167	20	matrix	matrix	NOUN
cana-4447	167	21	of	of	ADP
cana-4447	167	22	xk	xk	PROPN
cana-4447	167	23	.	.	PUNCT
cana-4447	168	1	𝑄	𝑄	PROPN
cana-4447	168	2	:	:	PUNCT
cana-4447	168	3	process	process	NOUN
cana-4447	168	4	uncertainty	uncertainty	NOUN
cana-4447	168	5	/	/	SYM
cana-4447	168	6	noise	noise	NOUN
cana-4447	168	7	.	.	PUNCT
cana-4447	169	1	2	2	X
cana-4447	169	2	.	.	X
cana-4447	169	3	measurement	measurement	NOUN
cana-4447	169	4	equation	equation	NOUN
cana-4447	169	5	:	:	PUNCT
cana-4447	169	6	𝑧𝑘	𝑧𝑘	X
cana-4447	169	7	=	=	SYM
cana-4447	169	8	𝐻𝑥𝑘	𝐻𝑥𝑘	PROPN
cana-4447	169	9	+	+	CCONJ
cana-4447	169	10	𝑣𝑘	𝑣𝑘	PROPN
cana-4447	169	11	(	(	PUNCT
cana-4447	169	12	3	3	NUM
cana-4447	169	13	)	)	PUNCT
cana-4447	169	14	where	where	SCONJ
cana-4447	169	15	h	h	NOUN
cana-4447	169	16	:	:	PUNCT
cana-4447	169	17	measurement	measurement	NOUN
cana-4447	169	18	matrix	matrix	NOUN
cana-4447	169	19	or	or	CCONJ
cana-4447	169	20	function	function	NOUN
cana-4447	169	21	of	of	ADP
cana-4447	169	22	xk	xk	PROPN
cana-4447	169	23	𝑧𝑘	𝑧𝑘	PROPN
cana-4447	169	24	:	:	PUNCT
cana-4447	169	25	observations	observation	NOUN
cana-4447	169	26	made	make	VERB
cana-4447	169	27	at	at	ADP
cana-4447	169	28	times	times	PROPN
cana-4447	169	29	k-1	k-1	PROPN
cana-4447	169	30	to	to	ADP
cana-4447	169	31	k	k	PROPN
cana-4447	169	32	,	,	PUNCT
cana-4447	169	33	respectively	respectively	ADV
cana-4447	169	34	𝑣𝑘	𝑣𝑘	ADV
cana-4447	169	35	:	:	PUNCT
cana-4447	169	36	n	n	CCONJ
cana-4447	169	37	(	(	PUNCT
cana-4447	169	38	.	.	PUNCT
cana-4447	169	39	)	)	PUNCT
cana-4447	169	40	with	with	ADP
cana-4447	169	41	𝑝(𝑣	𝑝(𝑣	PROPN
cana-4447	169	42	)	)	PUNCT
cana-4447	169	43	is	be	AUX
cana-4447	169	44	the	the	DET
cana-4447	169	45	gaussian	gaussian	ADJ
cana-4447	169	46	measurement	measurement	NOUN
cana-4447	169	47	noise	noise	NOUN
cana-4447	169	48	𝑝(𝑣	𝑝(𝑣	PROPN
cana-4447	169	49	):	):	PUNCT
cana-4447	169	50	normal	normal	ADJ
cana-4447	169	51	probability	probability	NOUN
cana-4447	169	52	distribution	distribution	NOUN
cana-4447	169	53	defined	define	VERB
cana-4447	169	54	in	in	ADP
cana-4447	169	55	eq	eq	ADP
cana-4447	169	56	.	.	PUNCT
cana-4447	170	1	(	(	PUNCT
cana-4447	170	2	4	4	X
cana-4447	170	3	)	)	PUNCT
cana-4447	170	4	𝑝(𝑣	𝑝(𝑣	PROPN
cana-4447	170	5	)	)	PUNCT
cana-4447	171	1	~	~	PUNCT
cana-4447	171	2	n(0	n(0	PROPN
cana-4447	171	3	,	,	PUNCT
cana-4447	171	4	r	r	NOUN
cana-4447	171	5	)	)	PUNCT
cana-4447	171	6	(	(	PUNCT
cana-4447	171	7	4	4	X
cana-4447	171	8	)	)	PUNCT
cana-4447	171	9	r	r	NOUN
cana-4447	171	10	:	:	PUNCT
cana-4447	171	11	measurement	measurement	NOUN
cana-4447	171	12	uncertainty	uncertainty	NOUN
cana-4447	171	13	/	/	SYM
cana-4447	171	14	noise	noise	NOUN
cana-4447	171	15	.	.	PUNCT
cana-4447	172	1	b	b	X
cana-4447	172	2	)	)	PUNCT
cana-4447	172	3	prediction	prediction	NOUN
cana-4447	172	4	step	step	NOUN
cana-4447	172	5	3	3	NUM
cana-4447	172	6	.	.	NOUN
cana-4447	172	7	time	time	NOUN
cana-4447	172	8	update	update	NOUN
cana-4447	172	9	equations	equation	NOUN
cana-4447	172	10	:	:	PUNCT
cana-4447	172	11	eqs	eqs	X
cana-4447	172	12	.	.	PUNCT
cana-4447	173	1	(	(	PUNCT
cana-4447	173	2	1	1	X
cana-4447	173	3	)	)	PUNCT
cana-4447	173	4	and	and	CCONJ
cana-4447	173	5	(	(	PUNCT
cana-4447	173	6	3	3	X
cana-4447	173	7	)	)	PUNCT
cana-4447	173	8	provide	provide	VERB
cana-4447	173	9	a	a	DET
cana-4447	173	10	linear	linear	ADJ
cana-4447	173	11	model	model	NOUN
cana-4447	173	12	for	for	ADP
cana-4447	173	13	time	time	NOUN
cana-4447	173	14	k.	k.	PROPN
cana-4447	174	1	because	because	SCONJ
cana-4447	174	2	𝑥𝑘	𝑥𝑘	PROPN
cana-4447	174	3	is	be	AUX
cana-4447	174	4	not	not	PART
cana-4447	174	5	directly	directly	ADV
cana-4447	174	6	observed	observe	VERB
cana-4447	174	7	,	,	PUNCT
cana-4447	174	8	the	the	DET
cana-4447	174	9	knowledge	knowledge	NOUN
cana-4447	174	10	obtained	obtain	VERB
cana-4447	174	11	from	from	ADP
cana-4447	174	12	the	the	DET
cana-4447	174	13	measured	measured	ADJ
cana-4447	174	14	𝑧𝑘	𝑧𝑘	PRON
cana-4447	174	15	is	be	AUX
cana-4447	174	16	utilized	utilize	VERB
cana-4447	174	17	to	to	PART
cana-4447	174	18	revise	revise	VERB
cana-4447	174	19	the	the	DET
cana-4447	174	20	unknown	unknown	ADJ
cana-4447	174	21	state	state	NOUN
cana-4447	174	22	𝑥𝑘.	𝑥𝑘.	ADJ
cana-4447	174	23	eq	eq	NOUN
cana-4447	174	24	.	.	PUNCT
cana-4447	175	1	(	(	PUNCT
cana-4447	175	2	5	5	NUM
cana-4447	175	3	)	)	PUNCT
cana-4447	175	4	is	be	AUX
cana-4447	175	5	used	use	VERB
cana-4447	175	6	to	to	PART
cana-4447	175	7	estimate	estimate	VERB
cana-4447	175	8	the	the	DET
cana-4447	175	9	state	state	PROPN
cana-4447	175	10	�	�	PROPN
cana-4447	175	11	̂	̂	NOUN
cana-4447	175	12	�	�	PROPN
cana-4447	175	13	𝑘	𝑘	PRON
cana-4447	175	14	−	−	PROPN
cana-4447	175	15	(	(	PUNCT
cana-4447	175	16	state	state	NOUN
cana-4447	175	17	prediction	prediction	NOUN
cana-4447	175	18	)	)	PUNCT
cana-4447	175	19	and	and	CCONJ
cana-4447	175	20	calculate	calculate	VERB
cana-4447	175	21	the	the	DET
cana-4447	175	22	covariance	covariance	NOUN
cana-4447	175	23	error	error	NOUN
cana-4447	175	24	�	�	NOUN
cana-4447	175	25	̂	̂	NOUN
cana-4447	175	26	�	�	NOUN
cana-4447	175	27	𝑘	𝑘	NOUN
cana-4447	175	28	for	for	ADP
cana-4447	175	29	the	the	DET
cana-4447	175	30	next	next	ADJ
cana-4447	175	31	time	time	NOUN
cana-4447	175	32	step	step	PROPN
cana-4447	175	33	k.	k.	PROPN
cana-4447	175	34	�	�	PROPN
cana-4447	175	35	̂	̂	VERB
cana-4447	175	36	�	�	PROPN
cana-4447	175	37	𝑘	𝑘	PRON
cana-4447	175	38	−	−	NOUN
cana-4447	175	39	=	=	SYM
cana-4447	175	40	𝐴	𝐴	PROPN
cana-4447	175	41	�	�	PROPN
cana-4447	175	42	̂	̂	NOUN
cana-4447	175	43	�	�	NOUN
cana-4447	175	44	𝑘−1	𝑘−1	PROPN
cana-4447	175	45	+	+	NUM
cana-4447	175	46	𝑤𝑘	𝑤𝑘	ADJ
cana-4447	175	47	(	(	PUNCT
cana-4447	175	48	5	5	NUM
cana-4447	175	49	)	)	PUNCT
cana-4447	175	50	𝑃𝑘	𝑃𝑘	NOUN
cana-4447	175	51	−	−	NOUN
cana-4447	175	52	=	=	PUNCT
cana-4447	175	53	a𝑃𝑘−1𝐴	a𝑃𝑘−1𝐴	PROPN
cana-4447	175	54	𝑇	𝑇	PROPN
cana-4447	175	55	+	+	CCONJ
cana-4447	175	56	𝑄	𝑄	PROPN
cana-4447	175	57	(	(	PUNCT
cana-4447	175	58	6	6	NUM
cana-4447	175	59	)	)	PUNCT
cana-4447	175	60	𝑃𝑘	𝑃𝑘	NOUN
cana-4447	175	61	−	−	NOUN
cana-4447	175	62	:	:	PUNCT
cana-4447	175	63	error	error	NOUN
cana-4447	175	64	covariance	covariance	NOUN
cana-4447	175	65	prediction	prediction	NOUN
cana-4447	175	66	is	be	AUX
cana-4447	175	67	calculated	calculate	VERB
cana-4447	175	68	by	by	ADP
cana-4447	175	69	using	use	VERB
cana-4447	175	70	eq	eq	ADP
cana-4447	175	71	.	.	PUNCT
cana-4447	176	1	(	(	PUNCT
cana-4447	176	2	6	6	NUM
cana-4447	176	3	)	)	PUNCT
cana-4447	176	4	.	.	PUNCT
cana-4447	177	1	covariance	covariance	NOUN
cana-4447	177	2	measures	measure	VERB
cana-4447	177	3	how	how	SCONJ
cana-4447	177	4	much	much	ADJ
cana-4447	177	5	movement	movement	NOUN
cana-4447	177	6	in	in	ADP
cana-4447	177	7	one	one	NUM
cana-4447	177	8	variable	variable	ADJ
cana-4447	177	9	predicts	predict	NOUN
cana-4447	177	10	movement	movement	NOUN
cana-4447	177	11	in	in	ADP
cana-4447	177	12	the	the	DET
cana-4447	177	13	associated	associated	ADJ
cana-4447	177	14	variables	variable	NOUN
cana-4447	177	15	.	.	PUNCT
cana-4447	178	1	covariance	covariance	NOUN
cana-4447	178	2	focuses	focus	VERB
cana-4447	178	3	on	on	ADP
cana-4447	178	4	direction	direction	NOUN
cana-4447	178	5	,	,	PUNCT
cana-4447	178	6	not	not	PART
cana-4447	178	7	strength	strength	NOUN
cana-4447	178	8	.	.	PUNCT
cana-4447	179	1	c	c	X
cana-4447	179	2	)	)	PUNCT
cana-4447	179	3	correction	correction	NOUN
cana-4447	179	4	step	step	VERB
cana-4447	179	5	4	4	NUM
cana-4447	179	6	.	.	PUNCT
cana-4447	179	7	measurement	measurement	NOUN
cana-4447	179	8	update	update	NOUN
cana-4447	179	9	equations	equation	NOUN
cana-4447	179	10	:	:	PUNCT
cana-4447	179	11	the	the	DET
cana-4447	179	12	system	system	NOUN
cana-4447	179	13	feedback	feedback	NOUN
cana-4447	179	14	and	and	CCONJ
cana-4447	179	15	measurement	measurement	NOUN
cana-4447	179	16	update	update	NOUN
cana-4447	179	17	equations	equation	NOUN
cana-4447	179	18	are	be	AUX
cana-4447	179	19	represented	represent	VERB
cana-4447	179	20	by	by	ADP
cana-4447	179	21	equations	equation	NOUN
cana-4447	179	22	(	(	PUNCT
cana-4447	179	23	7	7	NUM
cana-4447	179	24	)	)	PUNCT
cana-4447	179	25	,	,	PUNCT
cana-4447	179	26	(	(	PUNCT
cana-4447	179	27	8)	8)	NUM
cana-4447	179	28	,	,	PUNCT
cana-4447	179	29	and	and	CCONJ
cana-4447	179	30	(	(	PUNCT
cana-4447	179	31	9	9	NUM
cana-4447	179	32	)	)	PUNCT
cana-4447	179	33	,	,	PUNCT
cana-4447	179	34	respectively	respectively	ADV
cana-4447	179	35	.	.	PUNCT
cana-4447	180	1	the	the	DET
cana-4447	180	2	goal	goal	NOUN
cana-4447	180	3	is	be	AUX
cana-4447	180	4	to	to	PART
cana-4447	180	5	estimate	estimate	VERB
cana-4447	180	6	�	�	PROPN
cana-4447	180	7	̂	̂	NOUN
cana-4447	180	8	�	�	NOUN
cana-4447	180	9	𝑘	𝑘	NOUN
cana-4447	180	10	,	,	PUNCT
cana-4447	180	11	a	a	DET
cana-4447	180	12	linear	linear	ADJ
cana-4447	180	13	combination	combination	NOUN
cana-4447	180	14	of	of	ADP
cana-4447	180	15	the	the	DET
cana-4447	180	16	new	new	ADJ
cana-4447	180	17	measurement	measurement	NOUN
cana-4447	180	18	𝑧𝑘	𝑧𝑘	PROPN
cana-4447	180	19	and	and	CCONJ
cana-4447	180	20	the	the	DET
cana-4447	180	21	apriori	apriori	ADJ
cana-4447	180	22	estimate	estimate	NOUN
cana-4447	180	23	.	.	PUNCT
cana-4447	181	1	the	the	DET
cana-4447	181	2	equations	equation	NOUN
cana-4447	181	3	are	be	AUX
cana-4447	181	4	shown	show	VERB
cana-4447	181	5	below	below	ADP
cana-4447	181	6	:	:	PUNCT
cana-4447	181	7	𝐾𝑘	𝐾𝑘	PROPN
cana-4447	181	8	=	=	SYM
cana-4447	181	9	𝑃𝑘	𝑃𝑘	PROPN
cana-4447	181	10	−𝐻𝑇	−𝐻𝑇	PROPN
cana-4447	181	11	(	(	PUNCT
cana-4447	181	12	h𝑃𝑘	h𝑃𝑘	NOUN
cana-4447	181	13	−	−	PROPN
cana-4447	181	14	ht	ht	PROPN
cana-4447	181	15	+	+	NUM
cana-4447	181	16	𝑅)−1	𝑅)−1	PROPN
cana-4447	181	17	(	(	PUNCT
cana-4447	181	18	7	7	NUM
cana-4447	181	19	)	)	PUNCT
cana-4447	181	20	�	�	NOUN
cana-4447	181	21	̂	̂	NOUN
cana-4447	181	22	�	�	NOUN
cana-4447	181	23	𝑘	𝑘	PRON
cana-4447	181	24	=	=	SYM
cana-4447	181	25	�	�	PROPN
cana-4447	181	26	̂	̂	NOUN
cana-4447	181	27	�	�	PROPN
cana-4447	181	28	𝑘	𝑘	PRON
cana-4447	181	29	−	−	NOUN
cana-4447	182	1	+	+	CCONJ
cana-4447	182	2	𝐾𝑘	𝐾𝑘	PROPN
cana-4447	182	3	(	(	PUNCT
cana-4447	182	4	𝑧𝑘	𝑧𝑘	PROPN
cana-4447	182	5	−	−	PROPN
cana-4447	182	6	h	h	PROPN
cana-4447	182	7	�	�	PROPN
cana-4447	182	8	̂	̂	NOUN
cana-4447	182	9	�	�	PROPN
cana-4447	182	10	𝑘	𝑘	DET
cana-4447	182	11	−	−	NOUN
cana-4447	182	12	)	)	PUNCT
cana-4447	182	13	(	(	PUNCT
cana-4447	182	14	8)	8)	NUM
cana-4447	182	15	𝑃𝑘	𝑃𝑘	NOUN
cana-4447	182	16	=	=	SYM
cana-4447	182	17	(	(	PUNCT
cana-4447	182	18	1	1	NUM
cana-4447	182	19	−	−	NOUN
cana-4447	182	20	𝐾𝑘h)𝑃𝑘	𝐾𝑘h)𝑃𝑘	NOUN
cana-4447	182	21	−	−	PROPN
cana-4447	182	22	(	(	PUNCT
cana-4447	182	23	9	9	NUM
cana-4447	182	24	)	)	PUNCT
cana-4447	182	25	𝐾𝑘	𝐾𝑘	NOUN
cana-4447	182	26	:	:	PUNCT
cana-4447	182	27	kalman	kalman	PROPN
cana-4447	182	28	gain	gain	NOUN
cana-4447	182	29	which	which	PRON
cana-4447	182	30	is	be	AUX
cana-4447	182	31	computed	compute	VERB
cana-4447	182	32	by	by	ADP
cana-4447	182	33	eq	eq	PROPN
cana-4447	182	34	.	.	PUNCT
cana-4447	183	1	(	(	PUNCT
cana-4447	183	2	7	7	NUM
cana-4447	183	3	)	)	PUNCT
cana-4447	183	4	i.e.	i.e.	X
cana-4447	183	5	,	,	PUNCT
cana-4447	183	6	formulae	formulae	ADJ
cana-4447	183	7	for	for	ADP
cana-4447	183	8	measurement	measurement	NOUN
cana-4447	183	9	updates	update	NOUN
cana-4447	183	10	.	.	PUNCT
cana-4447	184	1	communications	communication	NOUN
cana-4447	184	2	on	on	ADP
cana-4447	184	3	applied	apply	VERB
cana-4447	184	4	nonlinear	nonlinear	ADJ
cana-4447	184	5	analysis	analysis	NOUN
cana-4447	184	6	issn	issn	NOUN
cana-4447	184	7	:	:	PUNCT
cana-4447	184	8	1074	1074	NUM
cana-4447	184	9	-	-	PUNCT
cana-4447	184	10	133x	133x	NUM
cana-4447	184	11	vol	vol	NOUN
cana-4447	184	12	32	32	NUM
cana-4447	184	13	no	no	NOUN
cana-4447	184	14	.	.	PUNCT
cana-4447	185	1	9s	9s	NUM
cana-4447	185	2	(	(	PUNCT
cana-4447	185	3	2025	2025	NUM
cana-4447	185	4	)	)	PUNCT
cana-4447	185	5	2058	2058	NUM
cana-4447	185	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-4447	185	7	�	�	PROPN
cana-4447	185	8	̂	̂	NOUN
cana-4447	185	9	�	�	NOUN
cana-4447	185	10	𝑘	𝑘	PRON
cana-4447	185	11	:	:	PUNCT
cana-4447	185	12	estimation	estimation	NOUN
cana-4447	185	13	of	of	ADP
cana-4447	185	14	a	a	DET
cana-4447	185	15	posteriori	posteriori	NOUN
cana-4447	185	16	state	state	NOUN
cana-4447	185	17	(	(	PUNCT
cana-4447	185	18	state	state	NOUN
cana-4447	185	19	correction	correction	NOUN
cana-4447	185	20	)	)	PUNCT
cana-4447	185	21	and	and	CCONJ
cana-4447	185	22	𝑃𝑘	𝑃𝑘	PROPN
cana-4447	185	23	:	:	PUNCT
cana-4447	185	24	estimation	estimation	NOUN
cana-4447	185	25	of	of	ADP
cana-4447	185	26	a	a	DET
cana-4447	185	27	posterior	posterior	ADJ
cana-4447	185	28	error	error	NOUN
cana-4447	185	29	(	(	PUNCT
cana-4447	185	30	error	error	NOUN
cana-4447	185	31	covariance	covariance	NOUN
cana-4447	185	32	correction	correction	NOUN
cana-4447	185	33	)	)	PUNCT
cana-4447	185	34	calculated	calculate	VERB
cana-4447	185	35	by	by	ADP
cana-4447	185	36	eqs	eqs	PROPN
cana-4447	185	37	.	.	PUNCT
cana-4447	185	38	(	(	PUNCT
cana-4447	185	39	8)	8)	NUM
cana-4447	185	40	and	and	CCONJ
cana-4447	185	41	(	(	PUNCT
cana-4447	185	42	9	9	NUM
cana-4447	185	43	)	)	PUNCT
cana-4447	185	44	,	,	PUNCT
cana-4447	185	45	with	with	ADP
cana-4447	185	46	measurement	measurement	NOUN
cana-4447	185	47	𝑧𝑘.	𝑧𝑘.	NOUN
cana-4447	185	48	the	the	DET
cana-4447	185	49	time	time	NOUN
cana-4447	185	50	and	and	CCONJ
cana-4447	185	51	measurement	measurement	NOUN
cana-4447	185	52	equations	equation	NOUN
cana-4447	185	53	are	be	AUX
cana-4447	185	54	iteratively	iteratively	ADV
cana-4447	185	55	computed	compute	VERB
cana-4447	185	56	using	use	VERB
cana-4447	185	57	earlier	early	ADV
cana-4447	185	58	a	a	DET
cana-4447	185	59	posteriori	posteriori	NOUN
cana-4447	185	60	,	,	PUNCT
cana-4447	185	61	which	which	PRON
cana-4447	185	62	estimates	estimate	VERB
cana-4447	185	63	to	to	PART
cana-4447	185	64	forecast	forecast	VERB
cana-4447	185	65	fresh	fresh	ADJ
cana-4447	185	66	apriori	apriori	ADJ
cana-4447	185	67	estimates	estimate	NOUN
cana-4447	185	68	.	.	PUNCT
cana-4447	186	1	one	one	NUM
cana-4447	186	2	of	of	ADP
cana-4447	186	3	the	the	DET
cana-4447	186	4	kalman	kalman	PROPN
cana-4447	186	5	filter	filter	PROPN
cana-4447	186	6	's	's	PART
cana-4447	186	7	most	most	ADV
cana-4447	186	8	notable	notable	ADJ
cana-4447	186	9	features	feature	NOUN
cana-4447	186	10	is	be	AUX
cana-4447	186	11	its	its	PRON
cana-4447	186	12	recursive	recursive	ADJ
cana-4447	186	13	nature	nature	NOUN
cana-4447	186	14	in	in	ADP
cana-4447	186	15	estimating	estimate	VERB
cana-4447	186	16	states	state	NOUN
cana-4447	186	17	.	.	PUNCT
cana-4447	187	1	2.1.2	2.1.2	X
cana-4447	187	2	.	.	PUNCT
cana-4447	187	3	kalman	kalman	NOUN
cana-4447	187	4	filter	filter	PROPN
cana-4447	187	5	for	for	ADP
cana-4447	187	6	object	object	NOUN
cana-4447	187	7	detection	detection	NOUN
cana-4447	187	8	and	and	CCONJ
cana-4447	187	9	multi	multi	ADJ
cana-4447	187	10	-	-	ADJ
cana-4447	187	11	object	object	ADJ
cana-4447	187	12	tracking	tracking	NOUN
cana-4447	187	13	to	to	PART
cana-4447	187	14	predict	predict	VERB
cana-4447	187	15	very	very	ADV
cana-4447	187	16	nearer	nearer	ADJ
cana-4447	187	17	objects	object	NOUN
cana-4447	187	18	the	the	DET
cana-4447	187	19	kalman	kalman	NOUN
cana-4447	187	20	filter	filter	NOUN
cana-4447	187	21	is	be	AUX
cana-4447	187	22	employed	employ	VERB
cana-4447	187	23	in	in	ADP
cana-4447	187	24	multi	multi	ADJ
cana-4447	187	25	-	-	ADJ
cana-4447	187	26	object	object	ADJ
cana-4447	187	27	tracking	tracking	NOUN
cana-4447	187	28	(	(	PUNCT
cana-4447	187	29	mot	mot	NOUN
cana-4447	187	30	)	)	PUNCT
cana-4447	187	31	,	,	PUNCT
cana-4447	187	32	which	which	PRON
cana-4447	187	33	encompasses	encompass	VERB
cana-4447	187	34	the	the	DET
cana-4447	187	35	two	two	NUM
cana-4447	187	36	distinct	distinct	ADJ
cana-4447	187	37	phases	phase	NOUN
cana-4447	187	38	.	.	PUNCT
cana-4447	188	1	the	the	DET
cana-4447	188	2	first	first	ADJ
cana-4447	188	3	stage	stage	NOUN
cana-4447	188	4	is	be	AUX
cana-4447	188	5	object	object	NOUN
cana-4447	188	6	detection	detection	NOUN
cana-4447	188	7	,	,	PUNCT
cana-4447	188	8	which	which	PRON
cana-4447	188	9	uses	use	VERB
cana-4447	188	10	a	a	DET
cana-4447	188	11	bounding	bounding	NOUN
cana-4447	188	12	box	box	NOUN
cana-4447	188	13	and	and	CCONJ
cana-4447	188	14	its	its	PRON
cana-4447	188	15	centroid	centroid	NOUN
cana-4447	188	16	position	position	NOUN
cana-4447	188	17	to	to	PART
cana-4447	188	18	identify	identify	VERB
cana-4447	188	19	the	the	DET
cana-4447	188	20	location	location	NOUN
cana-4447	188	21	and	and	CCONJ
cana-4447	188	22	categories	category	NOUN
cana-4447	188	23	of	of	ADP
cana-4447	188	24	the	the	DET
cana-4447	188	25	objects	object	NOUN
cana-4447	188	26	and	and	CCONJ
cana-4447	188	27	assign	assign	VERB
cana-4447	188	28	them	they	PRON
cana-4447	188	29	a	a	DET
cana-4447	188	30	unique	unique	ADJ
cana-4447	188	31	instance	instance	NOUN
cana-4447	188	32	i	i	PROPN
cana-4447	188	33	d.	d.	PROPN
cana-4447	188	34	to	to	PART
cana-4447	188	35	detect	detect	VERB
cana-4447	188	36	and	and	CCONJ
cana-4447	188	37	extract	extract	VERB
cana-4447	188	38	moving	move	VERB
cana-4447	188	39	objects	object	NOUN
cana-4447	188	40	,	,	PUNCT
cana-4447	188	41	used	use	VERB
cana-4447	188	42	a	a	DET
cana-4447	188	43	background	background	NOUN
cana-4447	188	44	subtraction	subtraction	NOUN
cana-4447	188	45	method	method	NOUN
cana-4447	188	46	(	(	PUNCT
cana-4447	188	47	gaussian	gaussian	ADJ
cana-4447	188	48	model	model	NOUN
cana-4447	188	49	)	)	PUNCT
cana-4447	188	50	.	.	PUNCT
cana-4447	189	1	and	and	CCONJ
cana-4447	189	2	,	,	PUNCT
cana-4447	189	3	also	also	ADV
cana-4447	189	4	must	must	AUX
cana-4447	189	5	assess	assess	VERB
cana-4447	189	6	if	if	SCONJ
cana-4447	189	7	many	many	ADJ
cana-4447	189	8	objects	object	NOUN
cana-4447	189	9	are	be	AUX
cana-4447	189	10	obstructing	obstruct	VERB
cana-4447	189	11	the	the	DET
cana-4447	189	12	view	view	NOUN
cana-4447	189	13	.	.	PUNCT
cana-4447	190	1	the	the	DET
cana-4447	190	2	second	second	ADJ
cana-4447	190	3	stage	stage	NOUN
cana-4447	190	4	is	be	AUX
cana-4447	190	5	the	the	DET
cana-4447	190	6	tracking	tracking	NOUN
cana-4447	190	7	approach	approach	NOUN
cana-4447	190	8	which	which	PRON
cana-4447	190	9	utilizes	utilize	VERB
cana-4447	190	10	feature	feature	NOUN
cana-4447	190	11	information	information	NOUN
cana-4447	190	12	of	of	ADP
cana-4447	190	13	bounding	bound	VERB
cana-4447	190	14	boxes	box	NOUN
cana-4447	190	15	and	and	CCONJ
cana-4447	190	16	their	their	PRON
cana-4447	190	17	centroid	centroid	NOUN
cana-4447	190	18	position	position	NOUN
cana-4447	190	19	across	across	ADP
cana-4447	190	20	frames	frame	NOUN
cana-4447	190	21	in	in	ADP
cana-4447	190	22	the	the	DET
cana-4447	190	23	video	video	NOUN
cana-4447	190	24	.	.	PUNCT
cana-4447	191	1	this	this	DET
cana-4447	191	2	information	information	NOUN
cana-4447	191	3	will	will	AUX
cana-4447	191	4	be	be	AUX
cana-4447	191	5	used	use	VERB
cana-4447	191	6	to	to	PART
cana-4447	191	7	track	track	VERB
cana-4447	191	8	the	the	DET
cana-4447	191	9	next	next	ADJ
cana-4447	191	10	state	state	NOUN
cana-4447	191	11	(	(	PUNCT
cana-4447	191	12	or	or	CCONJ
cana-4447	191	13	location	location	NOUN
cana-4447	191	14	)	)	PUNCT
cana-4447	191	15	of	of	ADP
cana-4447	191	16	the	the	DET
cana-4447	191	17	objects	object	NOUN
cana-4447	191	18	from	from	ADP
cana-4447	191	19	frame	frame	NOUN
cana-4447	191	20	to	to	PART
cana-4447	191	21	frame	frame	VERB
cana-4447	191	22	in	in	ADP
cana-4447	191	23	the	the	DET
cana-4447	191	24	video	video	NOUN
cana-4447	191	25	.	.	PUNCT
cana-4447	192	1	while	while	SCONJ
cana-4447	192	2	tracking	tracking	NOUN
cana-4447	192	3	,	,	PUNCT
cana-4447	192	4	find	find	VERB
cana-4447	192	5	the	the	DET
cana-4447	192	6	distance	distance	NOUN
cana-4447	192	7	between	between	ADP
cana-4447	192	8	a	a	DET
cana-4447	192	9	centroid	centroid	NOUN
cana-4447	192	10	of	of	ADP
cana-4447	192	11	the	the	DET
cana-4447	192	12	bounding	bounding	NOUN
cana-4447	192	13	box	box	NOUN
cana-4447	192	14	to	to	ADP
cana-4447	192	15	another	another	DET
cana-4447	192	16	centroid	centroid	NOUN
cana-4447	192	17	of	of	ADP
cana-4447	192	18	the	the	DET
cana-4447	192	19	bounding	bounding	NOUN
cana-4447	192	20	box	box	NOUN
cana-4447	192	21	in	in	ADP
cana-4447	192	22	the	the	DET
cana-4447	192	23	video	video	NOUN
cana-4447	192	24	frames	frame	NOUN
cana-4447	192	25	.	.	PUNCT
cana-4447	193	1	the	the	DET
cana-4447	193	2	geometric	geometric	ADJ
cana-4447	193	3	features	feature	NOUN
cana-4447	193	4	of	of	ADP
cana-4447	193	5	an	an	DET
cana-4447	193	6	object	object	NOUN
cana-4447	193	7	can	can	AUX
cana-4447	193	8	be	be	AUX
cana-4447	193	9	described	describe	VERB
cana-4447	193	10	in	in	ADP
cana-4447	193	11	terms	term	NOUN
cana-4447	193	12	of	of	ADP
cana-4447	193	13	position	position	NOUN
cana-4447	193	14	,	,	PUNCT
cana-4447	193	15	shape	shape	NOUN
cana-4447	193	16	,	,	PUNCT
cana-4447	193	17	center	center	NOUN
cana-4447	193	18	of	of	ADP
cana-4447	193	19	mass	mass	NOUN
cana-4447	193	20	(	(	PUNCT
cana-4447	193	21	centroid	centroid	NOUN
cana-4447	193	22	)	)	PUNCT
cana-4447	193	23	,	,	PUNCT
cana-4447	193	24	etc	etc	X
cana-4447	193	25	.	.	X
cana-4447	194	1	the	the	DET
cana-4447	194	2	suggested	suggest	VERB
cana-4447	194	3	methodological	methodological	ADJ
cana-4447	194	4	implementation	implementation	NOUN
cana-4447	194	5	utilizes	utilize	VERB
cana-4447	194	6	the	the	DET
cana-4447	194	7	ucf-101	ucf-101	PROPN
cana-4447	194	8	public	public	ADJ
cana-4447	194	9	dataset	dataset	NOUN
cana-4447	194	10	,	,	PUNCT
cana-4447	194	11	which	which	PRON
cana-4447	194	12	comprises	comprise	VERB
cana-4447	194	13	90	90	NUM
cana-4447	194	14	-	-	PUNCT
cana-4447	194	15	second	second	NOUN
cana-4447	194	16	videos	video	NOUN
cana-4447	194	17	sampled	sample	VERB
cana-4447	194	18	at	at	ADP
cana-4447	194	19	24	24	NUM
cana-4447	194	20	frames	frame	NOUN
cana-4447	194	21	per	per	ADP
cana-4447	194	22	second	second	NOUN
cana-4447	194	23	.	.	PUNCT
cana-4447	195	1	for	for	ADP
cana-4447	195	2	the	the	DET
cana-4447	195	3	experiment	experiment	NOUN
cana-4447	195	4	,	,	PUNCT
cana-4447	195	5	figure	figure	VERB
cana-4447	195	6	3	3	NUM
cana-4447	195	7	depicted	depict	VERB
cana-4447	195	8	videos	video	NOUN
cana-4447	195	9	1	1	NUM
cana-4447	195	10	to	to	PART
cana-4447	195	11	6	6	NUM
cana-4447	195	12	has	have	AUX
cana-4447	195	13	been	be	AUX
cana-4447	195	14	utilized	utilize	VERB
cana-4447	195	15	to	to	PART
cana-4447	195	16	predict	predict	VERB
cana-4447	195	17	the	the	DET
cana-4447	195	18	frame	frame	NOUN
cana-4447	195	19	in	in	ADP
cana-4447	195	20	which	which	PRON
cana-4447	195	21	two	two	NUM
cana-4447	195	22	humans	human	NOUN
cana-4447	195	23	are	be	AUX
cana-4447	195	24	very	very	ADV
cana-4447	195	25	near	near	ADV
cana-4447	195	26	to	to	ADP
cana-4447	195	27	each	each	DET
cana-4447	195	28	other	other	ADJ
cana-4447	195	29	.	.	PUNCT
cana-4447	196	1	kalman	kalman	PROPN
cana-4447	196	2	filter	filter	PROPN
cana-4447	196	3	uses	use	VERB
cana-4447	196	4	the	the	DET
cana-4447	196	5	object	object	NOUN
cana-4447	196	6	’s	’s	PART
cana-4447	196	7	position	position	NOUN
cana-4447	196	8	from	from	ADP
cana-4447	196	9	the	the	DET
cana-4447	196	10	first	first	ADJ
cana-4447	196	11	frame	frame	NOUN
cana-4447	196	12	,	,	PUNCT
cana-4447	196	13	depicted	depict	VERB
cana-4447	196	14	in	in	ADP
cana-4447	196	15	figure	figure	NOUN
cana-4447	196	16	3	3	NUM
cana-4447	196	17	,	,	PUNCT
cana-4447	196	18	as	as	ADP
cana-4447	196	19	input	input	NOUN
cana-4447	196	20	to	to	PART
cana-4447	196	21	subsequently	subsequently	ADV
cana-4447	196	22	track	track	VERB
cana-4447	196	23	the	the	DET
cana-4447	196	24	object	object	NOUN
cana-4447	196	25	in	in	ADP
cana-4447	196	26	the	the	DET
cana-4447	196	27	following	following	ADJ
cana-4447	196	28	frames	frame	NOUN
cana-4447	196	29	.	.	PUNCT
cana-4447	197	1	after	after	SCONJ
cana-4447	197	2	the	the	DET
cana-4447	197	3	object	object	NOUN
cana-4447	197	4	is	be	AUX
cana-4447	197	5	detected	detect	VERB
cana-4447	197	6	,	,	PUNCT
cana-4447	197	7	precise	precise	ADJ
cana-4447	197	8	localization	localization	NOUN
cana-4447	197	9	makes	make	VERB
cana-4447	197	10	it	it	PRON
cana-4447	197	11	possible	possible	ADJ
cana-4447	197	12	to	to	PART
cana-4447	197	13	refine	refine	VERB
cana-4447	197	14	the	the	DET
cana-4447	197	15	regions	region	NOUN
cana-4447	197	16	and	and	CCONJ
cana-4447	197	17	encapsulate	encapsulate	VERB
cana-4447	197	18	the	the	DET
cana-4447	197	19	object	object	NOUN
cana-4447	197	20	using	use	VERB
cana-4447	197	21	bounding	bounding	NOUN
cana-4447	197	22	boxes	box	NOUN
cana-4447	197	23	(	(	PUNCT
cana-4447	197	24	tracking	tracking	NOUN
cana-4447	197	25	window	window	NOUN
cana-4447	197	26	)	)	PUNCT
cana-4447	197	27	and	and	CCONJ
cana-4447	197	28	the	the	DET
cana-4447	197	29	centroid	centroid	NOUN
cana-4447	197	30	position	position	NOUN
cana-4447	197	31	of	of	ADP
cana-4447	197	32	the	the	DET
cana-4447	197	33	object	object	NOUN
cana-4447	197	34	.	.	PUNCT
cana-4447	198	1	figure	figure	NOUN
cana-4447	198	2	3	3	NUM
cana-4447	198	3	.	.	NOUN
cana-4447	198	4	videos	video	NOUN
cana-4447	198	5	1	1	NUM
cana-4447	198	6	to	to	ADP
cana-4447	198	7	6	6	NUM
cana-4447	198	8	of	of	ADP
cana-4447	198	9	the	the	DET
cana-4447	198	10	ucf-101	ucf-101	PROPN
cana-4447	198	11	dataset	dataset	NOUN
cana-4447	198	12	are	be	AUX
cana-4447	198	13	considered	consider	VERB
cana-4447	198	14	for	for	SCONJ
cana-4447	198	15	implementation	implementation	NOUN
cana-4447	198	16	https://blog.roboflow.com/how-to-draw-a-bounding-box-in-python/	https://blog.roboflow.com/how-to-draw-a-bounding-box-in-python/	NOUN
cana-4447	198	17	communications	communication	NOUN
cana-4447	198	18	on	on	ADP
cana-4447	198	19	applied	apply	VERB
cana-4447	198	20	nonlinear	nonlinear	ADJ
cana-4447	198	21	analysis	analysis	NOUN
cana-4447	198	22	issn	issn	NOUN
cana-4447	198	23	:	:	PUNCT
cana-4447	198	24	1074	1074	NUM
cana-4447	198	25	-	-	PUNCT
cana-4447	198	26	133x	133x	NUM
cana-4447	198	27	vol	vol	NOUN
cana-4447	198	28	32	32	NUM
cana-4447	199	1	no	no	NOUN
cana-4447	199	2	.	.	PUNCT
cana-4447	200	1	9s	9s	NUM
cana-4447	200	2	(	(	PUNCT
cana-4447	200	3	2025	2025	NUM
cana-4447	200	4	)	)	PUNCT
cana-4447	200	5	2059	2059	NUM
cana-4447	200	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-4447	200	7	a.	a.	NOUN
cana-4447	200	8	object	object	NOUN
cana-4447	200	9	detection	detection	NOUN
cana-4447	200	10	by	by	ADP
cana-4447	200	11	using	use	VERB
cana-4447	200	12	a	a	DET
cana-4447	200	13	bounding	bounding	NOUN
cana-4447	200	14	box	box	NOUN
cana-4447	200	15	and	and	CCONJ
cana-4447	200	16	its	its	PRON
cana-4447	200	17	centroid	centroid	NOUN
cana-4447	200	18	position	position	NOUN
cana-4447	200	19	a	a	DET
cana-4447	200	20	bounding	bounding	NOUN
cana-4447	200	21	box	box	NOUN
cana-4447	200	22	(	(	PUNCT
cana-4447	200	23	bb	bb	NOUN
cana-4447	200	24	)	)	PUNCT
cana-4447	200	25	is	be	AUX
cana-4447	200	26	a	a	DET
cana-4447	200	27	rectangle	rectangle	NOUN
cana-4447	200	28	that	that	PRON
cana-4447	200	29	surrounds	surround	VERB
cana-4447	200	30	an	an	DET
cana-4447	200	31	object	object	NOUN
cana-4447	200	32	and	and	CCONJ
cana-4447	200	33	determines	determine	VERB
cana-4447	200	34	its	its	PRON
cana-4447	200	35	position	position	NOUN
cana-4447	200	36	.	.	PUNCT
cana-4447	201	1	bbs	bbs	PROPN
cana-4447	201	2	are	be	AUX
cana-4447	201	3	utilized	utilize	VERB
cana-4447	201	4	in	in	ADP
cana-4447	201	5	the	the	DET
cana-4447	201	6	task	task	NOUN
cana-4447	201	7	of	of	ADP
cana-4447	201	8	object	object	NOUN
cana-4447	201	9	detection	detection	NOUN
cana-4447	201	10	,	,	PUNCT
cana-4447	201	11	which	which	PRON
cana-4447	201	12	aims	aim	VERB
cana-4447	201	13	to	to	PART
cana-4447	201	14	determine	determine	VERB
cana-4447	201	15	the	the	DET
cana-4447	201	16	position	position	NOUN
cana-4447	201	17	and	and	CCONJ
cana-4447	201	18	kind	kind	ADV
cana-4447	201	19	of	of	ADV
cana-4447	201	20	several	several	ADJ
cana-4447	201	21	objects	object	NOUN
cana-4447	201	22	in	in	ADP
cana-4447	201	23	a	a	DET
cana-4447	201	24	picture	picture	NOUN
cana-4447	201	25	.	.	PUNCT
cana-4447	202	1	the	the	DET
cana-4447	202	2	main	main	ADJ
cana-4447	202	3	parameters	parameter	NOUN
cana-4447	202	4	that	that	PRON
cana-4447	202	5	define	define	VERB
cana-4447	202	6	a	a	DET
cana-4447	202	7	bounding	bounding	NOUN
cana-4447	202	8	box	box	NOUN
cana-4447	202	9	are	be	AUX
cana-4447	202	10	:	:	PUNCT
cana-4447	202	11	1	1	X
cana-4447	202	12	)	)	PUNCT
cana-4447	202	13	(	(	PUNCT
cana-4447	202	14	𝑥1	𝑥1	NOUN
cana-4447	202	15	,	,	PUNCT
cana-4447	202	16	𝑦1	𝑦1	PROPN
cana-4447	202	17	):	):	PUNCT
cana-4447	202	18	denotes	denote	NOUN
cana-4447	202	19	the	the	DET
cana-4447	202	20	x	x	X
cana-4447	202	21	and	and	CCONJ
cana-4447	202	22	y	y	PROPN
cana-4447	202	23	coordinates	coordinate	NOUN
cana-4447	202	24	of	of	ADP
cana-4447	202	25	the	the	DET
cana-4447	202	26	rectangle	rectangle	NOUN
cana-4447	202	27	's	's	PART
cana-4447	202	28	upper	upper	ADJ
cana-4447	202	29	left	left	NOUN
cana-4447	202	30	corner	corner	NOUN
cana-4447	202	31	2	2	NUM
cana-4447	202	32	)	)	PUNCT
cana-4447	202	33	(	(	PUNCT
cana-4447	202	34	𝑥2	𝑥2	NOUN
cana-4447	202	35	,	,	PUNCT
cana-4447	202	36	𝑦2	𝑦2	NOUN
cana-4447	202	37	):	):	PUNCT
cana-4447	202	38	denotes	denote	NOUN
cana-4447	202	39	the	the	DET
cana-4447	202	40	x	x	X
cana-4447	202	41	and	and	CCONJ
cana-4447	202	42	y	y	PROPN
cana-4447	202	43	coordinates	coordinate	NOUN
cana-4447	202	44	of	of	ADP
cana-4447	202	45	the	the	DET
cana-4447	202	46	rectangle	rectangle	NOUN
cana-4447	202	47	's	's	PART
cana-4447	202	48	bottom	bottom	ADJ
cana-4447	202	49	right	right	ADJ
cana-4447	202	50	corner	corner	NOUN
cana-4447	202	51	3	3	NUM
cana-4447	202	52	)	)	PUNCT
cana-4447	202	53	(	(	PUNCT
cana-4447	202	54	𝑥𝑐	𝑥𝑐	ADP
cana-4447	202	55	,	,	PUNCT
cana-4447	202	56	𝑦𝑐	𝑦𝑐	PROPN
cana-4447	202	57	):	):	PUNCT
cana-4447	202	58	denotes	denote	NOUN
cana-4447	202	59	the	the	DET
cana-4447	202	60	x	x	X
cana-4447	202	61	and	and	CCONJ
cana-4447	202	62	y	y	PROPN
cana-4447	202	63	coordinates	coordinate	NOUN
cana-4447	202	64	of	of	ADP
cana-4447	202	65	the	the	DET
cana-4447	202	66	bounding	bounding	NOUN
cana-4447	202	67	box	box	NOUN
cana-4447	202	68	’s	’s	PART
cana-4447	202	69	center	center	NOUN
cana-4447	202	70	,	,	PUNCT
cana-4447	202	71	as	as	SCONJ
cana-4447	202	72	computed	compute	VERB
cana-4447	202	73	by	by	ADP
cana-4447	202	74	eqs	eqs	PROPN
cana-4447	202	75	.	.	PUNCT
cana-4447	203	1	(	(	PUNCT
cana-4447	203	2	10	10	NUM
cana-4447	203	3	)	)	PUNCT
cana-4447	203	4	and	and	CCONJ
cana-4447	203	5	(	(	PUNCT
cana-4447	203	6	11	11	NUM
cana-4447	203	7	)	)	SYM
cana-4447	203	8	4	4	NUM
cana-4447	203	9	)	)	PUNCT
cana-4447	203	10	width	width	NOUN
cana-4447	203	11	:	:	PUNCT
cana-4447	203	12	represents	represent	VERB
cana-4447	203	13	the	the	DET
cana-4447	203	14	width	width	NOUN
cana-4447	203	15	of	of	ADP
cana-4447	203	16	the	the	DET
cana-4447	203	17	bounding	bounding	NOUN
cana-4447	203	18	box	box	NOUN
cana-4447	203	19	calculated	calculate	VERB
cana-4447	203	20	by	by	ADP
cana-4447	203	21	eq	eq	PROPN
cana-4447	203	22	.	.	PUNCT
cana-4447	204	1	(	(	PUNCT
cana-4447	204	2	12	12	NUM
cana-4447	204	3	)	)	SYM
cana-4447	204	4	5	5	NUM
cana-4447	204	5	)	)	PUNCT
cana-4447	204	6	height	height	NOUN
cana-4447	204	7	:	:	PUNCT
cana-4447	204	8	represents	represent	VERB
cana-4447	204	9	the	the	DET
cana-4447	204	10	height	height	NOUN
cana-4447	204	11	of	of	ADP
cana-4447	204	12	the	the	DET
cana-4447	204	13	bounding	bounding	NOUN
cana-4447	204	14	box	box	NOUN
cana-4447	204	15	calculated	calculate	VERB
cana-4447	204	16	by	by	ADP
cana-4447	204	17	using	use	VERB
cana-4447	204	18	eq	eq	ADP
cana-4447	204	19	.	.	PUNCT
cana-4447	205	1	(	(	PUNCT
cana-4447	205	2	13	13	NUM
cana-4447	205	3	)	)	PUNCT
cana-4447	205	4	6	6	NUM
cana-4447	205	5	)	)	PUNCT
cana-4447	205	6	labels	label	NOUN
cana-4447	205	7	of	of	ADP
cana-4447	205	8	the	the	DET
cana-4447	205	9	bbs	bbs	NOUN
cana-4447	205	10	(	(	PUNCT
cana-4447	205	11	i	i	PROPN
cana-4447	205	12	d	d	PROPN
cana-4447	205	13	-identifier	-identifier	PROPN
cana-4447	205	14	)	)	PUNCT
cana-4447	205	15	.	.	PUNCT
cana-4447	206	1	the	the	DET
cana-4447	206	2	representation	representation	NOUN
cana-4447	206	3	forms	form	NOUN
cana-4447	206	4	of	of	ADP
cana-4447	206	5	bb	bb	NUM
cana-4447	206	6	are	be	AUX
cana-4447	206	7	as	as	SCONJ
cana-4447	206	8	follows	follow	VERB
cana-4447	206	9	:	:	PUNCT
cana-4447	206	10	𝑥𝑐	𝑥𝑐	ADP
cana-4447	206	11	=	=	SYM
cana-4447	206	12	(	(	PUNCT
cana-4447	206	13	𝑥1+𝑥2	𝑥1+𝑥2	X
cana-4447	206	14	)	)	PUNCT
cana-4447	206	15	2	2	NUM
cana-4447	206	16	(	(	PUNCT
cana-4447	206	17	10	10	NUM
cana-4447	206	18	)	)	PUNCT
cana-4447	206	19	𝑦𝑐	𝑦𝑐	NOUN
cana-4447	206	20	=	=	SYM
cana-4447	206	21	(	(	PUNCT
cana-4447	206	22	𝑦1+𝑦2	𝑦1+𝑦2	PROPN
cana-4447	206	23	)	)	PUNCT
cana-4447	206	24	2	2	NUM
cana-4447	206	25	(	(	PUNCT
cana-4447	206	26	11	11	NUM
cana-4447	206	27	)	)	PUNCT
cana-4447	206	28	𝑤	𝑤	NOUN
cana-4447	206	29	=	=	PUNCT
cana-4447	206	30	(	(	PUNCT
cana-4447	206	31	𝑥2	𝑥2	PROPN
cana-4447	206	32	−	−	PROPN
cana-4447	206	33	𝑥1	𝑥1	PROPN
cana-4447	206	34	)	)	PUNCT
cana-4447	206	35	(	(	PUNCT
cana-4447	206	36	12	12	NUM
cana-4447	206	37	)	)	PUNCT
cana-4447	206	38	ℎ	ℎ	X
cana-4447	206	39	=	=	SYM
cana-4447	206	40	(	(	PUNCT
cana-4447	206	41	𝑦2	𝑦2	NOUN
cana-4447	206	42	−	−	PROPN
cana-4447	206	43	𝑦1	𝑦1	PROPN
cana-4447	206	44	)	)	PUNCT
cana-4447	206	45	(	(	PUNCT
cana-4447	206	46	13	13	NUM
cana-4447	206	47	)	)	PUNCT
cana-4447	206	48	the	the	DET
cana-4447	206	49	bounding	bounding	NOUN
cana-4447	206	50	box	box	NOUN
cana-4447	206	51	’s	’s	PART
cana-4447	206	52	centroid	centroid	NOUN
cana-4447	206	53	has	have	VERB
cana-4447	206	54	the	the	DET
cana-4447	206	55	x	x	NOUN
cana-4447	206	56	-	-	NOUN
cana-4447	206	57	coordinate	coordinate	ADJ
cana-4447	206	58	𝑥𝑐	𝑥𝑐	NOUN
cana-4447	206	59	,	,	PUNCT
cana-4447	206	60	and	and	CCONJ
cana-4447	206	61	the	the	DET
cana-4447	206	62	y	y	NOUN
cana-4447	206	63	-	-	PUNCT
cana-4447	206	64	coordinate	coordinate	NOUN
cana-4447	206	65	𝑦𝑐	𝑦𝑐	PROPN
cana-4447	206	66	,	,	PUNCT
cana-4447	206	67	w	w	PROPN
cana-4447	206	68	is	be	AUX
cana-4447	206	69	the	the	DET
cana-4447	206	70	width	width	NOUN
cana-4447	206	71	of	of	ADP
cana-4447	206	72	the	the	DET
cana-4447	206	73	bb	bb	NOUN
cana-4447	206	74	,	,	PUNCT
cana-4447	206	75	and	and	CCONJ
cana-4447	206	76	h	h	NOUN
cana-4447	206	77	is	be	AUX
cana-4447	206	78	the	the	DET
cana-4447	206	79	height	height	NOUN
cana-4447	206	80	of	of	ADP
cana-4447	206	81	the	the	DET
cana-4447	206	82	bb	bb	NOUN
cana-4447	206	83	.	.	PUNCT
cana-4447	207	1	the	the	DET
cana-4447	207	2	centroid	centroid	NOUN
cana-4447	207	3	position	position	NOUN
cana-4447	207	4	of	of	ADP
cana-4447	207	5	the	the	DET
cana-4447	207	6	object	object	NOUN
cana-4447	207	7	(	(	PUNCT
cana-4447	207	8	or	or	CCONJ
cana-4447	207	9	bb	bb	NOUN
cana-4447	207	10	)	)	PUNCT
cana-4447	207	11	is	be	AUX
cana-4447	207	12	represented	represent	VERB
cana-4447	207	13	by	by	ADP
cana-4447	207	14	(	(	PUNCT
cana-4447	207	15	𝑥𝑐	𝑥𝑐	INTJ
cana-4447	207	16	,	,	PUNCT
cana-4447	207	17	𝑦𝑐	𝑦𝑐	PROPN
cana-4447	207	18	)	)	PUNCT
cana-4447	207	19	,	,	PUNCT
cana-4447	207	20	as	as	SCONJ
cana-4447	207	21	illustrated	illustrate	VERB
cana-4447	207	22	in	in	ADP
cana-4447	207	23	figure	figure	NOUN
cana-4447	207	24	4	4	NUM
cana-4447	207	25	and	and	CCONJ
cana-4447	207	26	also	also	ADV
cana-4447	207	27	depicted	depict	VERB
cana-4447	207	28	in	in	ADP
cana-4447	207	29	figure	figure	NOUN
cana-4447	207	30	5	5	NUM
cana-4447	207	31	.	.	PUNCT
cana-4447	207	32	figure	figure	VERB
cana-4447	207	33	4	4	NUM
cana-4447	207	34	.	.	PUNCT
cana-4447	208	1	kalman	kalman	PROPN
cana-4447	208	2	filter	filter	PROPN
cana-4447	208	3	-	-	PUNCT
cana-4447	208	4	based	base	VERB
cana-4447	208	5	human	human	ADJ
cana-4447	208	6	tracking	tracking	NOUN
cana-4447	208	7	using	use	VERB
cana-4447	208	8	bounding	bounding	NOUN
cana-4447	208	9	box	box	NOUN
cana-4447	208	10	and	and	CCONJ
cana-4447	208	11	centroid	centroid	PROPN
cana-4447	208	12	position	position	PROPN
cana-4447	208	13	b.	b.	PROPN
cana-4447	208	14	multi	multi	ADJ
cana-4447	208	15	-	-	ADJ
cana-4447	208	16	object	object	ADJ
cana-4447	208	17	tracking	tracking	NOUN
cana-4447	208	18	to	to	PART
cana-4447	208	19	predict	predict	VERB
cana-4447	208	20	very	very	ADV
cana-4447	208	21	nearer	nearer	ADJ
cana-4447	208	22	objects	object	NOUN
cana-4447	208	23	object	object	NOUN
cana-4447	208	24	tracking	tracking	NOUN
cana-4447	208	25	is	be	AUX
cana-4447	208	26	concerned	concern	VERB
cana-4447	208	27	with	with	ADP
cana-4447	208	28	image	image	NOUN
cana-4447	208	29	and	and	CCONJ
cana-4447	208	30	video	video	NOUN
cana-4447	208	31	sequences	sequence	NOUN
cana-4447	208	32	.	.	PUNCT
cana-4447	209	1	it	it	PRON
cana-4447	209	2	is	be	AUX
cana-4447	209	3	an	an	DET
cana-4447	209	4	extension	extension	NOUN
cana-4447	209	5	of	of	ADP
cana-4447	209	6	object	object	NOUN
cana-4447	209	7	detection	detection	NOUN
cana-4447	209	8	in	in	ADP
cana-4447	209	9	which	which	PRON
cana-4447	209	10	one	one	NUM
cana-4447	209	11	or	or	CCONJ
cana-4447	209	12	more	more	ADJ
cana-4447	209	13	objects	object	NOUN
cana-4447	209	14	are	be	AUX
cana-4447	209	15	identified	identify	VERB
cana-4447	209	16	in	in	ADP
cana-4447	209	17	a	a	DET
cana-4447	209	18	series	series	NOUN
cana-4447	209	19	of	of	ADP
cana-4447	209	20	images	image	NOUN
cana-4447	209	21	.	.	PUNCT
cana-4447	210	1	in	in	ADP
cana-4447	210	2	multiple	multiple	ADJ
cana-4447	210	3	object	object	NOUN
cana-4447	210	4	tracking	tracking	NOUN
cana-4447	210	5	(	(	PUNCT
cana-4447	210	6	mot	mot	NOUN
cana-4447	210	7	)	)	PUNCT
cana-4447	210	8	,	,	PUNCT
cana-4447	210	9	instance	instance	NOUN
cana-4447	210	10	ids	id	NOUN
cana-4447	210	11	are	be	AUX
cana-4447	210	12	assigned	assign	VERB
cana-4447	210	13	to	to	ADP
cana-4447	210	14	multiple	multiple	ADJ
cana-4447	210	15	objects	object	NOUN
cana-4447	210	16	,	,	PUNCT
cana-4447	210	17	as	as	SCONJ
cana-4447	210	18	demonstrated	demonstrate	VERB
cana-4447	210	19	in	in	ADP
cana-4447	210	20	figures	figure	NOUN
cana-4447	210	21	4	4	NUM
cana-4447	210	22	and	and	CCONJ
cana-4447	210	23	5	5	NUM
cana-4447	210	24	.	.	PUNCT
cana-4447	211	1	consequently	consequently	ADV
cana-4447	211	2	,	,	PUNCT
cana-4447	211	3	there	there	PRON
cana-4447	211	4	is	be	VERB
cana-4447	211	5	minimal	minimal	ADJ
cana-4447	211	6	variation	variation	NOUN
cana-4447	211	7	in	in	ADP
cana-4447	211	8	the	the	DET
cana-4447	211	9	position	position	NOUN
cana-4447	211	10	of	of	ADP
cana-4447	211	11	moving	move	VERB
cana-4447	211	12	objects	object	NOUN
cana-4447	211	13	between	between	ADP
cana-4447	211	14	two	two	NUM
cana-4447	211	15	consecutive	consecutive	ADJ
cana-4447	211	16	frames	frame	NOUN
cana-4447	211	17	.	.	PUNCT
cana-4447	212	1	as	as	ADP
cana-4447	212	2	a	a	DET
cana-4447	212	3	result	result	NOUN
cana-4447	212	4	,	,	PUNCT
cana-4447	212	5	the	the	DET
cana-4447	212	6	size	size	NOUN
cana-4447	212	7	of	of	ADP
cana-4447	212	8	the	the	DET
cana-4447	212	9	tracking	tracking	NOUN
cana-4447	212	10	window	window	NOUN
cana-4447	212	11	(	(	PUNCT
cana-4447	212	12	bounding	bounding	NOUN
cana-4447	212	13	box	box	NOUN
cana-4447	212	14	)	)	PUNCT
cana-4447	212	15	and	and	CCONJ
cana-4447	212	16	the	the	DET
cana-4447	212	17	centroid	centroid	NOUN
cana-4447	212	18	of	of	ADP
cana-4447	212	19	the	the	DET
cana-4447	212	20	moving	move	VERB
cana-4447	212	21	target	target	NOUN
cana-4447	212	22	exhibit	exhibit	VERB
cana-4447	212	23	slight	slight	ADJ
cana-4447	212	24	changes	change	NOUN
cana-4447	212	25	between	between	ADP
cana-4447	212	26	the	the	DET
cana-4447	212	27	frames	frame	NOUN
cana-4447	212	28	.	.	PUNCT
cana-4447	213	1	figure	figure	VERB
cana-4447	213	2	5	5	NUM
cana-4447	213	3	shows	show	VERB
cana-4447	213	4	that	that	SCONJ
cana-4447	213	5	bounding	bounding	NOUN
cana-4447	213	6	boxes	box	NOUN
cana-4447	213	7	(	(	PUNCT
cana-4447	213	8	segments	segment	NOUN
cana-4447	213	9	)	)	PUNCT
cana-4447	213	10	for	for	ADP
cana-4447	213	11	numerous	numerous	ADJ
cana-4447	213	12	objects	object	NOUN
cana-4447	213	13	must	must	AUX
cana-4447	213	14	be	be	AUX
cana-4447	213	15	input	input	VERB
cana-4447	213	16	at	at	ADP
cana-4447	213	17	the	the	DET
cana-4447	213	18	initial	initial	ADJ
cana-4447	213	19	frame	frame	NOUN
cana-4447	213	20	.	.	PUNCT
cana-4447	214	1	therefore	therefore	ADV
cana-4447	214	2	,	,	PUNCT
cana-4447	214	3	to	to	PART
cana-4447	214	4	describe	describe	VERB
cana-4447	214	5	a	a	DET
cana-4447	214	6	moving	move	VERB
cana-4447	214	7	object	object	NOUN
cana-4447	214	8	,	,	PUNCT
cana-4447	214	9	choose	choose	VERB
cana-4447	214	10	the	the	DET
cana-4447	214	11	centroid	centroid	NOUN
cana-4447	214	12	and	and	CCONJ
cana-4447	214	13	tracking	tracking	NOUN
cana-4447	214	14	window	window	NOUN
cana-4447	214	15	size	size	NOUN
cana-4447	214	16	as	as	ADP
cana-4447	214	17	feature	feature	NOUN
cana-4447	214	18	values	value	NOUN
cana-4447	214	19	.	.	PUNCT
cana-4447	215	1	communications	communication	NOUN
cana-4447	215	2	on	on	ADP
cana-4447	215	3	applied	apply	VERB
cana-4447	215	4	nonlinear	nonlinear	ADJ
cana-4447	215	5	analysis	analysis	NOUN
cana-4447	215	6	issn	issn	NOUN
cana-4447	215	7	:	:	PUNCT
cana-4447	215	8	1074	1074	NUM
cana-4447	215	9	-	-	PUNCT
cana-4447	215	10	133x	133x	NUM
cana-4447	215	11	vol	vol	NOUN
cana-4447	215	12	32	32	NUM
cana-4447	215	13	no	no	NOUN
cana-4447	215	14	.	.	PUNCT
cana-4447	216	1	9s	9s	NUM
cana-4447	216	2	(	(	PUNCT
cana-4447	216	3	2025	2025	NUM
cana-4447	216	4	)	)	PUNCT
cana-4447	216	5	2060	2060	NUM
cana-4447	216	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-4447	216	7	to	to	PART
cana-4447	216	8	monitor	monitor	VERB
cana-4447	216	9	the	the	DET
cana-4447	216	10	segmented	segment	VERB
cana-4447	216	11	moving	move	VERB
cana-4447	216	12	objects	object	NOUN
cana-4447	216	13	and	and	CCONJ
cana-4447	216	14	minimize	minimize	VERB
cana-4447	216	15	noise	noise	NOUN
cana-4447	216	16	,	,	PUNCT
cana-4447	216	17	initially	initially	ADV
cana-4447	216	18	assign	assign	VERB
cana-4447	216	19	a	a	DET
cana-4447	216	20	tracking	tracking	NOUN
cana-4447	216	21	window	window	NOUN
cana-4447	216	22	to	to	ADP
cana-4447	216	23	each	each	DET
cana-4447	216	24	object	object	NOUN
cana-4447	216	25	in	in	ADP
cana-4447	216	26	the	the	DET
cana-4447	216	27	scene	scene	NOUN
cana-4447	216	28	.	.	PUNCT
cana-4447	217	1	the	the	DET
cana-4447	217	2	tracking	tracking	NOUN
cana-4447	217	3	window	window	NOUN
cana-4447	217	4	size	size	NOUN
cana-4447	217	5	ought	ought	AUX
cana-4447	217	6	to	to	PART
cana-4447	217	7	be	be	AUX
cana-4447	217	8	marginally	marginally	ADV
cana-4447	217	9	larger	large	ADJ
cana-4447	217	10	than	than	ADP
cana-4447	217	11	the	the	DET
cana-4447	217	12	size	size	NOUN
cana-4447	217	13	of	of	ADP
cana-4447	217	14	the	the	DET
cana-4447	217	15	object	object	NOUN
cana-4447	217	16	image	image	NOUN
cana-4447	217	17	.	.	PUNCT
cana-4447	218	1	it	it	PRON
cana-4447	218	2	can	can	AUX
cana-4447	218	3	thereby	thereby	ADV
cana-4447	218	4	increase	increase	VERB
cana-4447	218	5	operational	operational	ADJ
cana-4447	218	6	speed	speed	NOUN
cana-4447	218	7	while	while	SCONJ
cana-4447	218	8	decreasing	decrease	VERB
cana-4447	218	9	noise	noise	NOUN
cana-4447	218	10	interference	interference	NOUN
cana-4447	218	11	and	and	CCONJ
cana-4447	218	12	picture	picture	NOUN
cana-4447	218	13	processing	processing	NOUN
cana-4447	218	14	time	time	NOUN
cana-4447	218	15	.	.	PUNCT
cana-4447	219	1	the	the	DET
cana-4447	219	2	three	three	NUM
cana-4447	219	3	submodules	submodule	NOUN
cana-4447	219	4	of	of	ADP
cana-4447	219	5	the	the	DET
cana-4447	219	6	kalman	kalman	NOUN
cana-4447	219	7	filter	filter	NOUN
cana-4447	219	8	tracking	tracking	NOUN
cana-4447	219	9	model	model	NOUN
cana-4447	219	10	are	be	AUX
cana-4447	219	11	the	the	DET
cana-4447	219	12	i	i	PROPN
cana-4447	219	13	)	)	PUNCT
cana-4447	219	14	motion	motion	NOUN
cana-4447	219	15	model	model	PROPN
cana-4447	219	16	ii	ii	PROPN
cana-4447	219	17	)	)	PUNCT
cana-4447	219	18	feature	feature	NOUN
cana-4447	219	19	matching	matching	NOUN
cana-4447	219	20	,	,	PUNCT
cana-4447	219	21	and	and	CCONJ
cana-4447	219	22	iii	iii	X
cana-4447	219	23	)	)	PUNCT
cana-4447	219	24	model	model	NOUN
cana-4447	219	25	update	update	NOUN
cana-4447	219	26	.	.	PUNCT
cana-4447	220	1	i	i	PRON
cana-4447	220	2	)	)	PUNCT
cana-4447	220	3	motion	motion	NOUN
cana-4447	220	4	estimation	estimation	NOUN
cana-4447	220	5	model	model	NOUN
cana-4447	220	6	the	the	DET
cana-4447	220	7	motion	motion	NOUN
cana-4447	220	8	model	model	NOUN
cana-4447	220	9	predicts	predict	VERB
cana-4447	220	10	the	the	DET
cana-4447	220	11	object	object	NOUN
cana-4447	220	12	's	's	PART
cana-4447	220	13	future	future	ADJ
cana-4447	220	14	position	position	NOUN
cana-4447	220	15	based	base	VERB
cana-4447	220	16	on	on	ADP
cana-4447	220	17	the	the	DET
cana-4447	220	18	prior	prior	ADJ
cana-4447	220	19	position	position	NOUN
cana-4447	220	20	data	datum	NOUN
cana-4447	220	21	collection	collection	NOUN
cana-4447	220	22	.	.	PUNCT
cana-4447	221	1	the	the	DET
cana-4447	221	2	kalman	kalman	PROPN
cana-4447	221	3	filter	filter	PROPN
cana-4447	221	4	,	,	PUNCT
cana-4447	221	5	used	use	VERB
cana-4447	221	6	for	for	ADP
cana-4447	221	7	tracking	tracking	NOUN
cana-4447	221	8	,	,	PUNCT
cana-4447	221	9	is	be	AUX
cana-4447	221	10	described	describe	VERB
cana-4447	221	11	by	by	ADP
cana-4447	221	12	its	its	PRON
cana-4447	221	13	states	state	NOUN
cana-4447	221	14	,	,	PUNCT
cana-4447	221	15	motion	motion	NOUN
cana-4447	221	16	model	model	NOUN
cana-4447	221	17	,	,	PUNCT
cana-4447	221	18	and	and	CCONJ
cana-4447	221	19	measurement	measurement	NOUN
cana-4447	221	20	equation	equation	NOUN
cana-4447	221	21	matrix	matrix	NOUN
cana-4447	221	22	[	[	X
cana-4447	221	23	𝑋𝑘	𝑋𝑘	PROPN
cana-4447	221	24	]	]	X
cana-4447	221	25	,	,	PUNCT
cana-4447	221	26	which	which	PRON
cana-4447	221	27	are	be	AUX
cana-4447	221	28	defined	define	VERB
cana-4447	221	29	in	in	ADP
cana-4447	221	30	eq	eq	ADP
cana-4447	221	31	.	.	PUNCT
cana-4447	222	1	(	(	PUNCT
cana-4447	222	2	14	14	NUM
cana-4447	222	3	)	)	PUNCT
cana-4447	222	4	.	.	PUNCT
cana-4447	223	1	the	the	DET
cana-4447	223	2	system	system	NOUN
cana-4447	223	3	state	state	NOUN
cana-4447	223	4	vector	vector	NOUN
cana-4447	223	5	has	have	VERB
cana-4447	223	6	eight	eight	NUM
cana-4447	223	7	dimensions	dimension	NOUN
cana-4447	223	8	and	and	CCONJ
cana-4447	223	9	can	can	AUX
cana-4447	223	10	be	be	AUX
cana-4447	223	11	expressed	express	VERB
cana-4447	223	12	as	as	SCONJ
cana-4447	223	13	follows	follow	VERB
cana-4447	223	14	:	:	PUNCT
cana-4447	223	15	𝑋𝑘	𝑋𝑘	PROPN
cana-4447	223	16	=	=	PUNCT
cana-4447	223	17	[	[	X
cana-4447	223	18	𝑥0,𝑘	𝑥0,𝑘	PROPN
cana-4447	223	19	,	,	PUNCT
cana-4447	223	20	𝑦0,𝑘	𝑦0,𝑘	PROPN
cana-4447	223	21	,	,	PUNCT
cana-4447	223	22	𝑙𝑘	𝑙𝑘	NOUN
cana-4447	223	23	,	,	PUNCT
cana-4447	223	24	ℎ𝑘	ℎ𝑘	PROPN
cana-4447	223	25	,	,	PUNCT
cana-4447	223	26	𝑣𝑥,𝑘	𝑣𝑥,𝑘	X
cana-4447	223	27	,	,	PUNCT
cana-4447	223	28	𝑣𝑦,𝑘	𝑣𝑦,𝑘	X
cana-4447	223	29	,	,	PUNCT
cana-4447	223	30	𝑣𝑙,𝑘	𝑣𝑙,𝑘	X
cana-4447	223	31	,	,	PUNCT
cana-4447	223	32	𝑣ℎ,𝑘	𝑣ℎ,𝑘	X
cana-4447	223	33	]	]	X
cana-4447	223	34	𝑇	𝑇	PROPN
cana-4447	223	35	(	(	PUNCT
cana-4447	223	36	14	14	NUM
cana-4447	223	37	)	)	PUNCT
cana-4447	223	38	where	where	SCONJ
cana-4447	223	39	,	,	PUNCT
cana-4447	223	40	𝑥0,𝑘	𝑥0,𝑘	PROPN
cana-4447	223	41	,	,	PUNCT
cana-4447	223	42	𝑦0,𝑘	𝑦0,𝑘	PROPN
cana-4447	223	43	represent	represent	VERB
cana-4447	223	44	horizontal	horizontal	ADJ
cana-4447	223	45	and	and	CCONJ
cana-4447	223	46	vertical	vertical	ADJ
cana-4447	223	47	centroid	centroid	PROPN
cana-4447	223	48	coordinates	coordinate	NOUN
cana-4447	223	49	,	,	PUNCT
cana-4447	223	50	𝑙𝑘	𝑙𝑘	PROPN
cana-4447	223	51	,	,	PUNCT
cana-4447	223	52	ℎ𝑘	ℎ𝑘	PRON
cana-4447	223	53	indicate	indicate	VERB
cana-4447	223	54	tracking	tracking	NOUN
cana-4447	223	55	window	window	NOUN
cana-4447	223	56	's	's	PART
cana-4447	223	57	half	half	ADJ
cana-4447	223	58	-	-	PUNCT
cana-4447	223	59	width	width	ADJ
cana-4447	223	60	and	and	CCONJ
cana-4447	223	61	half	half	ADJ
cana-4447	223	62	-	-	PUNCT
cana-4447	223	63	height	height	NOUN
cana-4447	223	64	,	,	PUNCT
cana-4447	223	65	and	and	CCONJ
cana-4447	223	66	𝑣𝑥,𝑘	𝑣𝑥,𝑘	X
cana-4447	223	67	,	,	PUNCT
cana-4447	223	68	𝑣𝑦,𝑘	𝑣𝑦,𝑘	NOUN
cana-4447	223	69	,	,	PUNCT
cana-4447	223	70	𝑣𝑙,𝑘	𝑣𝑙,𝑘	X
cana-4447	223	71	,	,	PUNCT
cana-4447	223	72	𝑣ℎ,𝑘	𝑣ℎ,𝑘	PUNCT
cana-4447	223	73	signifies	signify	VERB
cana-4447	223	74	their	their	PRON
cana-4447	223	75	respective	respective	ADJ
cana-4447	223	76	speeds	speed	NOUN
cana-4447	223	77	.	.	PUNCT
cana-4447	224	1	the	the	DET
cana-4447	224	2	system	system	NOUN
cana-4447	224	3	measurement	measurement	NOUN
cana-4447	224	4	vector	vector	NOUN
cana-4447	224	5	𝑧𝑘	𝑧𝑘	PROPN
cana-4447	224	6	is	be	AUX
cana-4447	224	7	defined	define	VERB
cana-4447	224	8	in	in	ADP
cana-4447	224	9	eq	eq	ADP
cana-4447	224	10	.	.	PUNCT
cana-4447	225	1	(	(	PUNCT
cana-4447	225	2	15	15	NUM
cana-4447	225	3	)	)	PUNCT
cana-4447	226	1	and	and	CCONJ
cana-4447	226	2	adopts	adopt	VERB
cana-4447	226	3	the	the	DET
cana-4447	226	4	following	follow	VERB
cana-4447	226	5	form	form	NOUN
cana-4447	226	6	:	:	PUNCT
cana-4447	227	1	𝑍𝑘	𝑍𝑘	VERB
cana-4447	227	2	=	=	PUNCT
cana-4447	228	1	[	[	X
cana-4447	228	2	𝑥0,𝑘	𝑥0,𝑘	PROPN
cana-4447	228	3	,	,	PUNCT
cana-4447	228	4	𝑦0,𝑘	𝑦0,𝑘	PROPN
cana-4447	228	5	,	,	PUNCT
cana-4447	228	6	𝑙𝑘	𝑙𝑘	NOUN
cana-4447	228	7	,	,	PUNCT
cana-4447	228	8	ℎ𝑘	ℎ𝑘	PROPN
cana-4447	228	9	]	]	X
cana-4447	228	10	𝑇	𝑇	PROPN
cana-4447	228	11	(	(	PUNCT
cana-4447	228	12	15	15	NUM
cana-4447	228	13	)	)	PUNCT
cana-4447	228	14	figure	figure	NOUN
cana-4447	228	15	5	5	NUM
cana-4447	228	16	.	.	PUNCT
cana-4447	228	17	bounding	bound	VERB
cana-4447	228	18	boxes	box	NOUN
cana-4447	228	19	and	and	CCONJ
cana-4447	228	20	centroid	centroid	NOUN
cana-4447	228	21	position	position	NOUN
cana-4447	228	22	of	of	ADP
cana-4447	228	23	the	the	DET
cana-4447	228	24	humans	human	NOUN
cana-4447	228	25	of	of	ADP
cana-4447	228	26	initial	initial	ADJ
cana-4447	228	27	frames	frame	NOUN
cana-4447	228	28	in	in	ADP
cana-4447	228	29	videos	video	NOUN
cana-4447	228	30	1	1	NUM
cana-4447	228	31	to	to	PART
cana-4447	228	32	6	6	NUM
cana-4447	228	33	.	.	PUNCT
cana-4447	229	1	communications	communication	NOUN
cana-4447	229	2	on	on	ADP
cana-4447	229	3	applied	apply	VERB
cana-4447	229	4	nonlinear	nonlinear	ADJ
cana-4447	229	5	analysis	analysis	NOUN
cana-4447	229	6	issn	issn	NOUN
cana-4447	229	7	:	:	PUNCT
cana-4447	229	8	1074	1074	NUM
cana-4447	229	9	-	-	PUNCT
cana-4447	229	10	133x	133x	NUM
cana-4447	229	11	vol	vol	NOUN
cana-4447	229	12	32	32	NUM
cana-4447	229	13	no	no	NOUN
cana-4447	229	14	.	.	PUNCT
cana-4447	230	1	9s	9s	NUM
cana-4447	230	2	(	(	PUNCT
cana-4447	230	3	2025	2025	NUM
cana-4447	230	4	)	)	PUNCT
cana-4447	230	5	2061	2061	NUM
cana-4447	230	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-4447	231	1	the	the	DET
cana-4447	231	2	following	following	NOUN
cana-4447	231	3	includes	include	VERB
cana-4447	231	4	the	the	DET
cana-4447	231	5	tracking	tracking	NOUN
cana-4447	231	6	system	system	NOUN
cana-4447	231	7	's	's	PART
cana-4447	231	8	transition	transition	NOUN
cana-4447	231	9	matrix	matrix	NOUN
cana-4447	231	10	(	(	PUNCT
cana-4447	231	11	a	a	X
cana-4447	231	12	)	)	PUNCT
cana-4447	231	13	and	and	CCONJ
cana-4447	231	14	measurement	measurement	NOUN
cana-4447	231	15	matrix	matrix	NOUN
cana-4447	231	16	(	(	PUNCT
cana-4447	231	17	h	h	NOUN
cana-4447	231	18	)	)	PUNCT
cana-4447	231	19	,	,	PUNCT
cana-4447	231	20	as	as	ADV
cana-4447	231	21	well	well	ADV
cana-4447	231	22	as	as	ADP
cana-4447	231	23	the	the	DET
cana-4447	231	24	gaussian	gaussian	ADJ
cana-4447	231	25	process	process	NOUN
cana-4447	231	26	𝑤𝑘	𝑤𝑘	ADV
cana-4447	232	1	and	and	CCONJ
cana-4447	232	2	measurement	measurement	NOUN
cana-4447	232	3	𝑣𝑘.	𝑣𝑘.	VERB
cana-4447	232	4	the	the	DET
cana-4447	232	5	noise	noise	NOUN
cana-4447	232	6	settings	setting	NOUN
cana-4447	232	7	depend	depend	VERB
cana-4447	232	8	entirely	entirely	ADV
cana-4447	232	9	on	on	ADP
cana-4447	232	10	the	the	DET
cana-4447	232	11	system	system	NOUN
cana-4447	232	12	being	be	AUX
cana-4447	232	13	tracked	track	VERB
cana-4447	232	14	and	and	CCONJ
cana-4447	232	15	modified	modify	VERB
cana-4447	232	16	empirically	empirically	ADV
cana-4447	232	17	.	.	PUNCT
cana-4447	233	1	[	[	PUNCT
cana-4447	233	2	1	1	NUM
cana-4447	233	3	0	0	NUM
cana-4447	233	4	0	0	NUM
cana-4447	233	5	0	0	NUM
cana-4447	234	1	𝛥𝑡	𝛥𝑡	ADV
cana-4447	234	2	0	0	NUM
cana-4447	234	3	0	0	NUM
cana-4447	234	4	0	0	NUM
cana-4447	234	5	0	0	NUM
cana-4447	234	6	1	1	NUM
cana-4447	234	7	0	0	NUM
cana-4447	234	8	0	0	NUM
cana-4447	234	9	0	0	NUM
cana-4447	235	1	𝛥𝑡	𝛥𝑡	ADV
cana-4447	235	2	0	0	NUM
cana-4447	235	3	0	0	NUM
cana-4447	235	4	0	0	NUM
cana-4447	235	5	0	0	NUM
cana-4447	235	6	1	1	NUM
cana-4447	235	7	0	0	NUM
cana-4447	235	8	0	0	NUM
cana-4447	235	9	0	0	NUM
cana-4447	236	1	𝛥𝑡	𝛥𝑡	ADV
cana-4447	236	2	0	0	NUM
cana-4447	236	3	0	0	NUM
cana-4447	236	4	0	0	NUM
cana-4447	236	5	0	0	NUM
cana-4447	236	6	1	1	NUM
cana-4447	236	7	0	0	NUM
cana-4447	236	8	0	0	NUM
cana-4447	236	9	0	0	NUM
cana-4447	237	1	𝛥𝑡	𝛥𝑡	ADV
cana-4447	237	2	0	0	NUM
cana-4447	237	3	0	0	NUM
cana-4447	237	4	0	0	NUM
cana-4447	237	5	0	0	NUM
cana-4447	237	6	1	1	NUM
cana-4447	237	7	0	0	NUM
cana-4447	237	8	0	0	NUM
cana-4447	237	9	0	0	NUM
cana-4447	237	10	0	0	NUM
cana-4447	237	11	0	0	NUM
cana-4447	237	12	0	0	NUM
cana-4447	237	13	0	0	NUM
cana-4447	237	14	0	0	NUM
cana-4447	237	15	1	1	NUM
cana-4447	237	16	0	0	NUM
cana-4447	237	17	0	0	NUM
cana-4447	237	18	0	0	NUM
cana-4447	237	19	0	0	NUM
cana-4447	237	20	0	0	NUM
cana-4447	237	21	0	0	NUM
cana-4447	237	22	0	0	NUM
cana-4447	237	23	0	0	NUM
cana-4447	237	24	1	1	NUM
cana-4447	237	25	0	0	NUM
cana-4447	237	26	0	0	NUM
cana-4447	237	27	0	0	NUM
cana-4447	237	28	0	0	NUM
cana-4447	237	29	0	0	NUM
cana-4447	237	30	0	0	NUM
cana-4447	237	31	0	0	NUM
cana-4447	237	32	0	0	NUM
cana-4447	237	33	1	1	NUM
cana-4447	237	34	]	]	PUNCT
cana-4447	237	35	the	the	DET
cana-4447	237	36	observation	observation	NOUN
cana-4447	237	37	matrix	matrix	NOUN
cana-4447	237	38	h	h	NOUN
cana-4447	237	39	is	be	AUX
cana-4447	237	40	defined	define	VERB
cana-4447	237	41	as	as	SCONJ
cana-4447	237	42	follows	follow	VERB
cana-4447	237	43	:	:	PUNCT
cana-4447	237	44	h=	h=	X
cana-4447	237	45	[	[	PUNCT
cana-4447	237	46	1	1	NUM
cana-4447	237	47	0	0	NUM
cana-4447	237	48	0	0	NUM
cana-4447	237	49	0	0	NUM
cana-4447	237	50	0	0	NUM
cana-4447	237	51	0	0	NUM
cana-4447	237	52	0	0	NUM
cana-4447	237	53	0	0	NUM
cana-4447	237	54	0	0	NUM
cana-4447	237	55	1	1	NUM
cana-4447	237	56	0	0	NUM
cana-4447	237	57	0	0	NUM
cana-4447	237	58	0	0	NUM
cana-4447	237	59	0	0	NUM
cana-4447	237	60	0	0	NUM
cana-4447	237	61	0	0	NUM
cana-4447	237	62	0	0	NUM
cana-4447	237	63	0	0	NUM
cana-4447	237	64	1	1	NUM
cana-4447	237	65	0	0	NUM
cana-4447	237	66	0	0	NUM
cana-4447	237	67	0	0	NUM
cana-4447	237	68	0	0	NUM
cana-4447	237	69	0	0	NUM
cana-4447	237	70	0	0	NUM
cana-4447	237	71	0	0	NUM
cana-4447	237	72	0	0	NUM
cana-4447	237	73	1	1	NUM
cana-4447	237	74	0	0	NUM
cana-4447	237	75	0	0	NUM
cana-4447	237	76	0	0	NUM
cana-4447	237	77	0	0	NUM
cana-4447	237	78	]	]	PUNCT
cana-4447	238	1	the	the	DET
cana-4447	238	2	video	video	NOUN
cana-4447	238	3	has	have	VERB
cana-4447	238	4	track	track	NOUN
cana-4447	238	5	-	-	PUNCT
cana-4447	238	6	to	to	ADP
cana-4447	238	7	-	-	PUNCT
cana-4447	238	8	track	track	NOUN
cana-4447	238	9	(	(	PUNCT
cana-4447	238	10	δt	δt	NOUN
cana-4447	238	11	)	)	PUNCT
cana-4447	238	12	intervals	interval	NOUN
cana-4447	238	13	.	.	PUNCT
cana-4447	239	1	after	after	SCONJ
cana-4447	239	2	the	the	DET
cana-4447	239	3	motion	motion	NOUN
cana-4447	239	4	model	model	NOUN
cana-4447	239	5	's	's	PART
cana-4447	239	6	state	state	NOUN
cana-4447	239	7	equation	equation	NOUN
cana-4447	239	8	and	and	CCONJ
cana-4447	239	9	measurement	measurement	NOUN
cana-4447	239	10	equation	equation	NOUN
cana-4447	239	11	have	have	AUX
cana-4447	239	12	been	be	AUX
cana-4447	239	13	defined	define	VERB
cana-4447	239	14	,	,	PUNCT
cana-4447	239	15	the	the	DET
cana-4447	239	16	kalman	kalman	NOUN
cana-4447	239	17	filter	filter	NOUN
cana-4447	239	18	can	can	AUX
cana-4447	239	19	be	be	AUX
cana-4447	239	20	used	use	VERB
cana-4447	239	21	in	in	ADP
cana-4447	239	22	the	the	DET
cana-4447	239	23	following	follow	VERB
cana-4447	239	24	frame	frame	NOUN
cana-4447	239	25	to	to	PART
cana-4447	239	26	ascertain	ascertain	VERB
cana-4447	239	27	the	the	DET
cana-4447	239	28	object	object	NOUN
cana-4447	239	29	's	's	PART
cana-4447	239	30	position	position	NOUN
cana-4447	239	31	and	and	CCONJ
cana-4447	239	32	size	size	NOUN
cana-4447	239	33	within	within	ADP
cana-4447	239	34	a	a	DET
cana-4447	239	35	limited	limited	ADJ
cana-4447	239	36	range	range	NOUN
cana-4447	239	37	,	,	PUNCT
cana-4447	239	38	as	as	ADV
cana-4447	239	39	well	well	ADV
cana-4447	239	40	as	as	ADP
cana-4447	239	41	to	to	PART
cana-4447	239	42	acquire	acquire	VERB
cana-4447	239	43	trajectories	trajectory	NOUN
cana-4447	239	44	of	of	ADP
cana-4447	239	45	moving	move	VERB
cana-4447	239	46	objects	object	NOUN
cana-4447	239	47	.	.	PUNCT
cana-4447	240	1	ii	ii	NOUN
cana-4447	240	2	)	)	PUNCT
cana-4447	240	3	feature	feature	NOUN
cana-4447	240	4	matching	match	VERB
cana-4447	240	5	every	every	DET
cana-4447	240	6	moving	move	VERB
cana-4447	240	7	object	object	NOUN
cana-4447	240	8	is	be	AUX
cana-4447	240	9	characterized	characterize	VERB
cana-4447	240	10	by	by	ADP
cana-4447	240	11	its	its	PRON
cana-4447	240	12	centroid	centroid	NOUN
cana-4447	240	13	and	and	CCONJ
cana-4447	240	14	tracking	tracking	NOUN
cana-4447	240	15	window	window	NOUN
cana-4447	240	16	.	.	PUNCT
cana-4447	241	1	the	the	DET
cana-4447	241	2	coordinates	coordinate	NOUN
cana-4447	241	3	of	of	ADP
cana-4447	241	4	the	the	DET
cana-4447	241	5	horizontal	horizontal	ADJ
cana-4447	241	6	and	and	CCONJ
cana-4447	241	7	vertical	vertical	ADJ
cana-4447	241	8	centroids	centroid	NOUN
cana-4447	241	9	,	,	PUNCT
cana-4447	241	10	along	along	ADP
cana-4447	241	11	with	with	ADP
cana-4447	241	12	the	the	DET
cana-4447	241	13	area	area	NOUN
cana-4447	241	14	of	of	ADP
cana-4447	241	15	the	the	DET
cana-4447	241	16	𝑖𝑡ℎ	𝑖𝑡ℎ	ADJ
cana-4447	241	17	object	object	NOUN
cana-4447	241	18	in	in	ADP
cana-4447	241	19	the	the	DET
cana-4447	241	20	𝑘𝑡ℎ	𝑘𝑡ℎ	NOUN
cana-4447	241	21	frame	frame	NOUN
cana-4447	241	22	,	,	PUNCT
cana-4447	241	23	are	be	AUX
cana-4447	241	24	specified	specify	VERB
cana-4447	241	25	as	as	ADP
cana-4447	241	26	𝑥𝑘	𝑥𝑘	X
cana-4447	241	27	𝑖	𝑖	PRON
cana-4447	241	28	,	,	PUNCT
cana-4447	241	29	𝑦𝑘	𝑦𝑘	NOUN
cana-4447	241	30	𝑖	𝑖	X
cana-4447	241	31	,	,	PUNCT
cana-4447	241	32	and	and	CCONJ
cana-4447	241	33	𝑆𝑘	𝑆𝑘	PROPN
cana-4447	241	34	𝑖	𝑖	X
cana-4447	241	35	.	.	PUNCT
cana-4447	242	1	eq	eq	ADJ
cana-4447	242	2	.	.	PUNCT
cana-4447	243	1	(	(	PUNCT
cana-4447	243	2	16	16	NUM
cana-4447	243	3	)	)	PUNCT
cana-4447	243	4	is	be	AUX
cana-4447	243	5	used	use	VERB
cana-4447	243	6	to	to	PART
cana-4447	243	7	determine	determine	VERB
cana-4447	243	8	the	the	DET
cana-4447	243	9	centroid	centroid	NOUN
cana-4447	243	10	distance	distance	NOUN
cana-4447	243	11	function	function	NOUN
cana-4447	243	12	(	(	PUNCT
cana-4447	243	13	𝐷(𝑖	𝐷(𝑖	NUM
cana-4447	243	14	,	,	PUNCT
cana-4447	243	15	𝑗	𝑗	NOUN
cana-4447	243	16	)	)	PUNCT
cana-4447	243	17	)	)	PUNCT
cana-4447	243	18	between	between	ADP
cana-4447	243	19	the	the	DET
cana-4447	243	20	𝑖𝑡ℎ	𝑖𝑡ℎ	ADJ
cana-4447	243	21	object	object	NOUN
cana-4447	243	22	in	in	ADP
cana-4447	243	23	the	the	DET
cana-4447	243	24	𝑘𝑡ℎ	𝑘𝑡ℎ	NOUN
cana-4447	243	25	frame	frame	NOUN
cana-4447	243	26	and	and	CCONJ
cana-4447	243	27	the	the	DET
cana-4447	243	28	𝑗𝑡ℎ	𝑗𝑡ℎ	ADJ
cana-4447	243	29	object	object	NOUN
cana-4447	243	30	in	in	ADP
cana-4447	243	31	the	the	DET
cana-4447	243	32	𝑘	𝑘	PROPN
cana-4447	243	33	+	+	CCONJ
cana-4447	243	34	1𝑡ℎ	1𝑡ℎ	ADJ
cana-4447	243	35	frame	frame	NOUN
cana-4447	243	36	.	.	PUNCT
cana-4447	244	1	𝐷(𝑖	𝐷(𝑖	PUNCT
cana-4447	244	2	,	,	PUNCT
cana-4447	244	3	𝑗	𝑗	NOUN
cana-4447	244	4	)	)	PUNCT
cana-4447	244	5	=	=	SYM
cana-4447	244	6	|√(𝑥𝑘	|√(𝑥𝑘	PROPN
cana-4447	244	7	𝑖	𝑖	NUM
cana-4447	244	8	−𝑥𝑘+1	−𝑥𝑘+1	NOUN
cana-4447	244	9	𝑗	𝑗	NOUN
cana-4447	244	10	)	)	PUNCT
cana-4447	244	11	2	2	NUM
cana-4447	245	1	+	+	NOUN
cana-4447	245	2	(	(	PUNCT
cana-4447	245	3	𝑦𝑘	𝑦𝑘	INTJ
cana-4447	245	4	𝑖	𝑖	VERB
cana-4447	245	5	−𝑦𝑘+1	−𝑦𝑘+1	NOUN
cana-4447	245	6	𝑗	𝑗	NOUN
cana-4447	245	7	)	)	PUNCT
cana-4447	245	8	2	2	NUM
cana-4447	245	9	|	|	ADV
cana-4447	245	10	𝑀𝑎𝑥𝑛	𝑀𝑎𝑥𝑛	PROPN
cana-4447	245	11	|	|	NOUN
cana-4447	245	12	√(𝑥𝑘	√(𝑥𝑘	PROPN
cana-4447	245	13	𝑖	𝑖	ADP
cana-4447	245	14	−𝑥𝑘+1	−𝑥𝑘+1	NOUN
cana-4447	245	15	𝑛	𝑛	NOUN
cana-4447	245	16	)	)	PUNCT
cana-4447	245	17	2	2	NUM
cana-4447	246	1	+	+	NOUN
cana-4447	246	2	(	(	PUNCT
cana-4447	246	3	𝑦𝑘	𝑦𝑘	INTJ
cana-4447	246	4	𝑖	𝑖	PRON
cana-4447	246	5	−𝑦𝑘+1	−𝑦𝑘+1	NOUN
cana-4447	246	6	𝑛	𝑛	PRON
cana-4447	246	7	)	)	PUNCT
cana-4447	246	8	2	2	NUM
cana-4447	246	9	|	|	ADV
cana-4447	246	10	(	(	PUNCT
cana-4447	246	11	16	16	NUM
cana-4447	246	12	)	)	PUNCT
cana-4447	246	13	eq	eq	NOUN
cana-4447	246	14	.	.	PUNCT
cana-4447	247	1	(	(	PUNCT
cana-4447	247	2	17	17	NUM
cana-4447	247	3	)	)	PUNCT
cana-4447	247	4	calculates	calculate	VERB
cana-4447	247	5	the	the	DET
cana-4447	247	6	area	area	NOUN
cana-4447	247	7	(	(	PUNCT
cana-4447	247	8	𝐴(𝑖	𝐴(𝑖	ADP
cana-4447	247	9	,	,	PUNCT
cana-4447	247	10	𝑗	𝑗	NOUN
cana-4447	247	11	)	)	PUNCT
cana-4447	247	12	)	)	PUNCT
cana-4447	247	13	difference	difference	NOUN
cana-4447	247	14	between	between	ADP
cana-4447	247	15	the	the	DET
cana-4447	247	16	𝑖𝑡ℎ	𝑖𝑡ℎ	NOUN
cana-4447	247	17	item	item	NOUN
cana-4447	247	18	in	in	ADP
cana-4447	247	19	the	the	DET
cana-4447	247	20	𝑘𝑡ℎ	𝑘𝑡ℎ	NOUN
cana-4447	247	21	frame	frame	NOUN
cana-4447	247	22	and	and	CCONJ
cana-4447	247	23	the	the	DET
cana-4447	247	24	𝑗𝑡ℎ	𝑗𝑡ℎ	ADJ
cana-4447	247	25	object	object	NOUN
cana-4447	247	26	in	in	ADP
cana-4447	247	27	the	the	DET
cana-4447	247	28	𝑘	𝑘	PROPN
cana-4447	247	29	+	+	CCONJ
cana-4447	247	30	1𝑡ℎ	1𝑡ℎ	ADJ
cana-4447	247	31	frame	frame	NOUN
cana-4447	247	32	,	,	PUNCT
cana-4447	247	33	which	which	PRON
cana-4447	247	34	is	be	AUX
cana-4447	247	35	defined	define	VERB
cana-4447	247	36	as	as	ADP
cana-4447	247	37	:	:	PUNCT
cana-4447	247	38	𝐴(𝑖	𝐴(𝑖	CCONJ
cana-4447	247	39	,	,	PUNCT
cana-4447	247	40	𝑗	𝑗	NOUN
cana-4447	247	41	)	)	PUNCT
cana-4447	247	42	=	=	PUNCT
cana-4447	247	43	|𝑆𝑘	|𝑆𝑘	PROPN
cana-4447	247	44	𝑖	𝑖	PUNCT
cana-4447	247	45	−𝑆𝑘+1	−𝑆𝑘+1	NOUN
cana-4447	248	1	𝑗	𝑗	INTJ
cana-4447	248	2	|	|	ADV
cana-4447	248	3	𝑀𝑎𝑥𝑛|𝑆𝑘	𝑀𝑎𝑥𝑛|𝑆𝑘	NUM
cana-4447	248	4	𝑛−𝑆𝑘+1	𝑛−𝑆𝑘+1	X
cana-4447	248	5	𝑛	𝑛	VERB
cana-4447	248	6	|	|	ADV
cana-4447	248	7	(	(	PUNCT
cana-4447	248	8	17	17	NUM
cana-4447	248	9	)	)	PUNCT
cana-4447	248	10	𝑆𝑘	𝑆𝑘	NOUN
cana-4447	248	11	𝑖	𝑖	SYM
cana-4447	248	12	=	=	SYM
cana-4447	248	13	4	4	NUM
cana-4447	248	14	𝑙𝑘	𝑙𝑘	NOUN
cana-4447	248	15	𝑖	𝑖	NOUN
cana-4447	248	16	ℎ𝑘	ℎ𝑘	NOUN
cana-4447	248	17	𝑖	𝑖	NOUN
cana-4447	248	18	indicates	indicate	VERB
cana-4447	248	19	the	the	DET
cana-4447	248	20	tracking	tracking	NOUN
cana-4447	248	21	window	window	NOUN
cana-4447	248	22	's	's	PART
cana-4447	248	23	area	area	NOUN
cana-4447	248	24	.	.	PUNCT
cana-4447	249	1	it	it	PRON
cana-4447	249	2	shows	show	VERB
cana-4447	249	3	how	how	SCONJ
cana-4447	249	4	much	much	ADJ
cana-4447	249	5	the	the	DET
cana-4447	249	6	window	window	NOUN
cana-4447	249	7	has	have	AUX
cana-4447	249	8	deformed	deform	VERB
cana-4447	249	9	;	;	PUNCT
cana-4447	249	10	the	the	PRON
cana-4447	249	11	lower	low	ADJ
cana-4447	249	12	the	the	DET
cana-4447	249	13	number	number	NOUN
cana-4447	249	14	,	,	PUNCT
cana-4447	249	15	the	the	PRON
cana-4447	249	16	more	more	ADV
cana-4447	249	17	accurately	accurately	ADV
cana-4447	249	18	the	the	DET
cana-4447	249	19	shapes	shape	NOUN
cana-4447	249	20	of	of	ADP
cana-4447	249	21	the	the	DET
cana-4447	249	22	two	two	NUM
cana-4447	249	23	objects	object	NOUN
cana-4447	249	24	are	be	AUX
cana-4447	249	25	described	describe	VERB
cana-4447	249	26	.	.	PUNCT
cana-4447	250	1	using	use	VERB
cana-4447	250	2	these	these	DET
cana-4447	250	3	definitions	definition	NOUN
cana-4447	250	4	,	,	PUNCT
cana-4447	250	5	a	a	DET
cana-4447	250	6	cost	cost	NOUN
cana-4447	250	7	function	function	NOUN
cana-4447	250	8	is	be	AUX
cana-4447	250	9	defined	define	VERB
cana-4447	250	10	as	as	SCONJ
cana-4447	250	11	shown	show	VERB
cana-4447	250	12	in	in	ADP
cana-4447	250	13	eq	eq	ADP
cana-4447	250	14	.	.	PUNCT
cana-4447	251	1	(	(	PUNCT
cana-4447	251	2	18	18	NUM
cana-4447	251	3	)	)	PUNCT
cana-4447	251	4	.	.	PUNCT
cana-4447	252	1	𝑉(𝑖	𝑉(𝑖	X
cana-4447	252	2	,	,	PUNCT
cana-4447	252	3	𝑗	𝑗	NOUN
cana-4447	252	4	)	)	PUNCT
cana-4447	252	5	=	=	SYM
cana-4447	252	6	𝛼𝐷(𝑖	𝛼𝐷(𝑖	PROPN
cana-4447	252	7	,	,	PUNCT
cana-4447	252	8	𝑗	𝑗	NOUN
cana-4447	252	9	)	)	PUNCT
cana-4447	252	10	+	+	CCONJ
cana-4447	252	11	𝛽𝐴(𝑖	𝛽𝐴(𝑖	PROPN
cana-4447	252	12	,	,	PUNCT
cana-4447	252	13	𝑗	𝑗	NOUN
cana-4447	252	14	)	)	PUNCT
cana-4447	252	15	(	(	PUNCT
cana-4447	252	16	18	18	NUM
cana-4447	252	17	)	)	PUNCT
cana-4447	252	18	communications	communication	NOUN
cana-4447	252	19	on	on	ADP
cana-4447	252	20	applied	apply	VERB
cana-4447	252	21	nonlinear	nonlinear	ADJ
cana-4447	252	22	analysis	analysis	NOUN
cana-4447	252	23	issn	issn	NOUN
cana-4447	252	24	:	:	PUNCT
cana-4447	252	25	1074	1074	NUM
cana-4447	252	26	-	-	PUNCT
cana-4447	252	27	133x	133x	NUM
cana-4447	252	28	vol	vol	NOUN
cana-4447	252	29	32	32	NUM
cana-4447	252	30	no	no	NOUN
cana-4447	252	31	.	.	PUNCT
cana-4447	253	1	9s	9s	NUM
cana-4447	253	2	(	(	PUNCT
cana-4447	253	3	2025	2025	NUM
cana-4447	253	4	)	)	PUNCT
cana-4447	253	5	2062	2062	NUM
cana-4447	253	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-4447	253	7	α	α	PROPN
cana-4447	253	8	,	,	PUNCT
cana-4447	253	9	β	β	X
cana-4447	253	10	are	be	AUX
cana-4447	253	11	track	track	NOUN
cana-4447	253	12	filtering	filter	VERB
cana-4447	253	13	or	or	CCONJ
cana-4447	253	14	update	update	NOUN
cana-4447	253	15	equations	equation	NOUN
cana-4447	253	16	parameters	parameter	NOUN
cana-4447	253	17	.	.	PUNCT
cana-4447	254	1	here	here	ADV
cana-4447	254	2	,	,	PUNCT
cana-4447	254	3	α	α	NOUN
cana-4447	254	4	=	=	NOUN
cana-4447	254	5	0.8	0.8	NUM
cana-4447	254	6	,	,	PUNCT
cana-4447	254	7	β	β	X
cana-4447	254	8	=	=	NOUN
cana-4447	254	9	0.2	0.2	NUM
cana-4447	254	10	where	where	SCONJ
cana-4447	254	11	α	α	NOUN
cana-4447	254	12	+	+	X
cana-4447	254	13	β	β	X
cana-4447	254	14	=	=	SYM
cana-4447	254	15	1	1	X
cana-4447	254	16	.	.	PUNCT
cana-4447	255	1	a	a	DET
cana-4447	255	2	lower	low	ADJ
cana-4447	255	3	value	value	NOUN
cana-4447	255	4	of	of	ADP
cana-4447	255	5	the	the	DET
cana-4447	255	6	cost	cost	NOUN
cana-4447	255	7	function	function	NOUN
cana-4447	255	8	indicates	indicate	VERB
cana-4447	255	9	a	a	DET
cana-4447	255	10	higher	high	ADJ
cana-4447	255	11	likelihood	likelihood	NOUN
cana-4447	255	12	of	of	ADP
cana-4447	255	13	correspondence	correspondence	NOUN
cana-4447	255	14	between	between	ADP
cana-4447	255	15	the	the	DET
cana-4447	255	16	two	two	NUM
cana-4447	255	17	objects	object	NOUN
cana-4447	255	18	.	.	PUNCT
cana-4447	256	1	upon	upon	SCONJ
cana-4447	256	2	identification	identification	NOUN
cana-4447	256	3	,	,	PUNCT
cana-4447	256	4	we	we	PRON
cana-4447	256	5	identified	identify	VERB
cana-4447	256	6	that	that	SCONJ
cana-4447	256	7	many	many	ADJ
cana-4447	256	8	object	object	NOUN
cana-4447	256	9	sections	section	NOUN
cana-4447	256	10	are	be	AUX
cana-4447	256	11	interconnected	interconnect	VERB
cana-4447	256	12	,	,	PUNCT
cana-4447	256	13	as	as	SCONJ
cana-4447	256	14	illustrated	illustrate	VERB
cana-4447	256	15	in	in	ADP
cana-4447	256	16	figure	figure	NOUN
cana-4447	256	17	6	6	NUM
cana-4447	256	18	,	,	PUNCT
cana-4447	256	19	video-5	video-5	PROPN
cana-4447	256	20	.	.	PUNCT
cana-4447	257	1	the	the	DET
cana-4447	257	2	areas	area	NOUN
cana-4447	257	3	of	of	ADP
cana-4447	257	4	the	the	DET
cana-4447	257	5	objects	object	NOUN
cana-4447	257	6	have	have	AUX
cana-4447	257	7	fused	fuse	VERB
cana-4447	257	8	,	,	PUNCT
cana-4447	257	9	allowing	allow	VERB
cana-4447	257	10	to	to	PART
cana-4447	257	11	track	track	VERB
cana-4447	257	12	many	many	ADJ
cana-4447	257	13	objects	object	NOUN
cana-4447	257	14	as	as	ADP
cana-4447	257	15	a	a	DET
cana-4447	257	16	single	single	ADJ
cana-4447	257	17	object	object	NOUN
cana-4447	257	18	as	as	ADV
cana-4447	257	19	well	well	ADV
cana-4447	257	20	as	as	ADP
cana-4447	257	21	creating	create	VERB
cana-4447	257	22	a	a	DET
cana-4447	257	23	new	new	ADJ
cana-4447	257	24	object	object	NOUN
cana-4447	257	25	-	-	PUNCT
cana-4447	257	26	matching	matching	NOUN
cana-4447	257	27	eigenvalue	eigenvalue	NOUN
cana-4447	257	28	.	.	PUNCT
cana-4447	258	1	if	if	SCONJ
cana-4447	258	2	an	an	DET
cana-4447	258	3	object	object	NOUN
cana-4447	258	4	has	have	VERB
cana-4447	258	5	several	several	ADJ
cana-4447	258	6	moving	move	VERB
cana-4447	258	7	objects	object	NOUN
cana-4447	258	8	,	,	PUNCT
cana-4447	258	9	first	first	ADV
cana-4447	258	10	split	split	VERB
cana-4447	258	11	it	it	PRON
cana-4447	258	12	into	into	ADP
cana-4447	258	13	a	a	DET
cana-4447	258	14	large	large	ADJ
cana-4447	258	15	number	number	NOUN
cana-4447	258	16	of	of	ADP
cana-4447	258	17	distinct	distinct	ADJ
cana-4447	258	18	moving	moving	NOUN
cana-4447	258	19	objects	object	NOUN
cana-4447	258	20	to	to	PART
cana-4447	258	21	see	see	VERB
cana-4447	258	22	if	if	SCONJ
cana-4447	258	23	the	the	DET
cana-4447	258	24	merging	merging	NOUN
cana-4447	258	25	has	have	AUX
cana-4447	258	26	already	already	ADV
cana-4447	258	27	taken	take	VERB
cana-4447	258	28	place	place	NOUN
cana-4447	258	29	.	.	PUNCT
cana-4447	259	1	if	if	SCONJ
cana-4447	259	2	it	it	PRON
cana-4447	259	3	has	have	AUX
cana-4447	259	4	,	,	PUNCT
cana-4447	259	5	then	then	ADV
cana-4447	259	6	match	match	VERB
cana-4447	259	7	the	the	DET
cana-4447	259	8	split	split	ADJ
cana-4447	259	9	objects	object	NOUN
cana-4447	259	10	'	'	PUNCT
cana-4447	259	11	with	with	ADP
cana-4447	259	12	the	the	DET
cana-4447	259	13	objects	object	NOUN
cana-4447	259	14	'	'	PART
cana-4447	259	15	features	feature	NOUN
cana-4447	259	16	before	before	ADP
cana-4447	259	17	dividing	divide	VERB
cana-4447	259	18	.	.	PUNCT
cana-4447	260	1	if	if	SCONJ
cana-4447	260	2	not	not	PART
cana-4447	260	3	,	,	PUNCT
cana-4447	260	4	we	we	PRON
cana-4447	260	5	split	split	VERB
cana-4447	260	6	the	the	DET
cana-4447	260	7	objects	object	NOUN
cana-4447	260	8	,	,	PUNCT
cana-4447	260	9	assign	assign	VERB
cana-4447	260	10	new	new	ADJ
cana-4447	260	11	tracking	tracking	NOUN
cana-4447	260	12	windows	window	NOUN
cana-4447	260	13	to	to	PART
cana-4447	260	14	track	track	VERB
cana-4447	260	15	moving	move	VERB
cana-4447	260	16	objects	object	NOUN
cana-4447	260	17	,	,	PUNCT
cana-4447	260	18	and	and	CCONJ
cana-4447	260	19	create	create	VERB
cana-4447	260	20	new	new	ADJ
cana-4447	260	21	eigenvalues	eigenvalue	NOUN
cana-4447	260	22	,	,	PUNCT
cana-4447	260	23	treating	treat	VERB
cana-4447	260	24	them	they	PRON
cana-4447	260	25	as	as	ADP
cana-4447	260	26	new	new	ADJ
cana-4447	260	27	.	.	PUNCT
cana-4447	260	28	iii	iii	X
cana-4447	260	29	)	)	PUNCT
cana-4447	260	30	model	model	NOUN
cana-4447	260	31	update	update	NOUN
cana-4447	260	32	after	after	ADP
cana-4447	260	33	determining	determine	VERB
cana-4447	260	34	the	the	DET
cana-4447	260	35	cost	cost	NOUN
cana-4447	260	36	function	function	NOUN
cana-4447	260	37	's	's	PART
cana-4447	260	38	minimum	minimum	ADJ
cana-4447	260	39	value	value	NOUN
cana-4447	260	40	,	,	PUNCT
cana-4447	260	41	update	update	VERB
cana-4447	260	42	the	the	DET
cana-4447	260	43	kalman	kalman	PROPN
cana-4447	260	44	filter	filter	PROPN
cana-4447	260	45	motion	motion	PROPN
cana-4447	260	46	model	model	NOUN
cana-4447	260	47	's	's	PART
cana-4447	260	48	parameters	parameter	NOUN
cana-4447	260	49	using	use	VERB
cana-4447	260	50	the	the	DET
cana-4447	260	51	𝑘	𝑘	PROPN
cana-4447	260	52	+	+	CCONJ
cana-4447	260	53	1𝑡ℎ	1𝑡ℎ	ADJ
cana-4447	260	54	frame	frame	NOUN
cana-4447	260	55	characteristics	characteristic	NOUN
cana-4447	260	56	,	,	PUNCT
cana-4447	260	57	which	which	PRON
cana-4447	260	58	are	be	AUX
cana-4447	260	59	then	then	ADV
cana-4447	260	60	used	use	VERB
cana-4447	260	61	as	as	ADP
cana-4447	260	62	input	input	NOUN
cana-4447	260	63	in	in	ADP
cana-4447	260	64	the	the	DET
cana-4447	260	65	following	follow	VERB
cana-4447	260	66	frame	frame	NOUN
cana-4447	260	67	.	.	PUNCT
cana-4447	261	1	continuously	continuously	ADV
cana-4447	261	2	doing	do	VERB
cana-4447	261	3	this	this	DET
cana-4447	261	4	process	process	NOUN
cana-4447	261	5	in	in	ADP
cana-4447	261	6	the	the	DET
cana-4447	261	7	number	number	NOUN
cana-4447	261	8	of	of	ADP
cana-4447	261	9	iterations	iteration	NOUN
cana-4447	261	10	to	to	PART
cana-4447	261	11	complete	complete	VERB
cana-4447	261	12	the	the	DET
cana-4447	261	13	model	model	NOUN
cana-4447	261	14	update	update	NOUN
cana-4447	261	15	till	till	SCONJ
cana-4447	261	16	the	the	DET
cana-4447	261	17	moving	move	VERB
cana-4447	261	18	objects	object	NOUN
cana-4447	261	19	vanished	vanish	VERB
cana-4447	261	20	.	.	PUNCT
cana-4447	262	1	so	so	ADV
cana-4447	262	2	finally	finally	ADV
cana-4447	262	3	,	,	PUNCT
cana-4447	262	4	table	table	NOUN
cana-4447	262	5	1	1	NUM
cana-4447	262	6	reported	report	VERB
cana-4447	262	7	the	the	DET
cana-4447	262	8	bounding	bounding	NOUN
cana-4447	262	9	box	box	NOUN
cana-4447	262	10	ids	id	NOUN
cana-4447	262	11	,	,	PUNCT
cana-4447	262	12	centroid	centroid	NOUN
cana-4447	262	13	,	,	PUNCT
cana-4447	262	14	and	and	CCONJ
cana-4447	262	15	area	area	NOUN
cana-4447	262	16	distance	distance	NOUN
cana-4447	262	17	values	value	NOUN
cana-4447	262	18	i.e.	i.e.	X
cana-4447	262	19	,	,	PUNCT
cana-4447	262	20	d	d	X
cana-4447	262	21	(	(	PUNCT
cana-4447	262	22	i	i	PROPN
cana-4447	262	23	,	,	PUNCT
cana-4447	262	24	j	j	PROPN
cana-4447	262	25	)	)	PUNCT
cana-4447	262	26	,	,	PUNCT
cana-4447	262	27	a	a	PRON
cana-4447	262	28	(	(	PUNCT
cana-4447	262	29	i	i	PROPN
cana-4447	262	30	,	,	PUNCT
cana-4447	262	31	j	j	PROPN
cana-4447	262	32	)	)	PUNCT
cana-4447	262	33	,	,	PUNCT
cana-4447	262	34	and	and	CCONJ
cana-4447	262	35	the	the	DET
cana-4447	262	36	cost	cost	NOUN
cana-4447	262	37	function	function	NOUN
cana-4447	262	38	(	(	PUNCT
cana-4447	262	39	v	v	NOUN
cana-4447	262	40	)	)	PUNCT
cana-4447	262	41	values	value	NOUN
cana-4447	262	42	of	of	ADP
cana-4447	262	43	the	the	DET
cana-4447	262	44	initial	initial	NOUN
cana-4447	262	45	,	,	PUNCT
cana-4447	262	46	and	and	CCONJ
cana-4447	262	47	predicted	predict	VERB
cana-4447	262	48	frames	frame	NOUN
cana-4447	262	49	of	of	ADP
cana-4447	262	50	the	the	DET
cana-4447	262	51	videos	video	NOUN
cana-4447	262	52	1	1	NUM
cana-4447	262	53	-	-	SYM
cana-4447	262	54	6	6	NUM
cana-4447	262	55	of	of	ADP
cana-4447	262	56	figure	figure	NOUN
cana-4447	262	57	6	6	NUM
cana-4447	262	58	.	.	PUNCT
cana-4447	262	59	figure	figure	VERB
cana-4447	262	60	6	6	NUM
cana-4447	262	61	presents	present	NOUN
cana-4447	262	62	predicted	predict	VERB
cana-4447	262	63	frames	frame	NOUN
cana-4447	262	64	of	of	ADP
cana-4447	262	65	videos	video	NOUN
cana-4447	262	66	1	1	NUM
cana-4447	262	67	to	to	ADP
cana-4447	262	68	6	6	NUM
cana-4447	262	69	which	which	PRON
cana-4447	262	70	have	have	VERB
cana-4447	262	71	kf	kf	PROPN
cana-4447	262	72	smaller	small	ADJ
cana-4447	262	73	cost	cost	NOUN
cana-4447	262	74	function	function	NOUN
cana-4447	262	75	(	(	PUNCT
cana-4447	262	76	v	v	NOUN
cana-4447	262	77	)	)	PUNCT
cana-4447	262	78	value	value	NOUN
cana-4447	262	79	,	,	PUNCT
cana-4447	262	80	and	and	CCONJ
cana-4447	262	81	also	also	ADV
cana-4447	262	82	humans	human	NOUN
cana-4447	262	83	are	be	AUX
cana-4447	262	84	very	very	ADV
cana-4447	262	85	near	near	ADV
cana-4447	262	86	to	to	ADP
cana-4447	262	87	each	each	DET
cana-4447	262	88	other	other	ADJ
cana-4447	262	89	.	.	PUNCT
cana-4447	263	1	video-1	video-1	ADJ
cana-4447	263	2	:	:	PUNCT
cana-4447	263	3	frame	frame	NOUN
cana-4447	263	4	no-1098	no-1098	NOUN
cana-4447	263	5	,	,	PUNCT
cana-4447	263	6	video-2	video-2	PROPN
cana-4447	263	7	:	:	PUNCT
cana-4447	263	8	frame	frame	PROPN
cana-4447	263	9	no-992	no-992	PROPN
cana-4447	263	10	,	,	PUNCT
cana-4447	263	11	video-3	video-3	PROPN
cana-4447	263	12	:	:	PUNCT
cana-4447	263	13	frame	frame	PROPN
cana-4447	263	14	no-600	no-600	PROPN
cana-4447	263	15	,	,	PUNCT
cana-4447	263	16	video-4	video-4	PROPN
cana-4447	263	17	:	:	PUNCT
cana-4447	263	18	frame	frame	NOUN
cana-4447	263	19	no-2025	no-2025	ADV
cana-4447	263	20	,	,	PUNCT
cana-4447	263	21	video-5	video-5	PROPN
cana-4447	263	22	:	:	PUNCT
cana-4447	263	23	frame	frame	NOUN
cana-4447	263	24	no-1566	no-1566	PROPN
cana-4447	263	25	,	,	PUNCT
cana-4447	263	26	and	and	CCONJ
cana-4447	263	27	video-6	video-6	NUM
cana-4447	263	28	:	:	PUNCT
cana-4447	263	29	frame	frame	NOUN
cana-4447	263	30	no-1231	no-1231	PROPN
cana-4447	263	31	are	be	AUX
cana-4447	263	32	predicted	predict	VERB
cana-4447	263	33	frames	frame	NOUN
cana-4447	263	34	that	that	PRON
cana-4447	263	35	have	have	VERB
cana-4447	263	36	smaller	small	ADJ
cana-4447	263	37	cost	cost	NOUN
cana-4447	263	38	function	function	NOUN
cana-4447	263	39	value	value	NOUN
cana-4447	263	40	.	.	PUNCT
cana-4447	264	1	the	the	DET
cana-4447	264	2	computational	computational	ADJ
cana-4447	264	3	complexity	complexity	NOUN
cana-4447	264	4	of	of	ADP
cana-4447	264	5	a	a	DET
cana-4447	264	6	kalman	kalman	NOUN
cana-4447	264	7	filter	filter	NOUN
cana-4447	264	8	algorithm	algorithm	NOUN
cana-4447	264	9	for	for	ADP
cana-4447	264	10	tracking	track	VERB
cana-4447	264	11	objects	object	NOUN
cana-4447	264	12	in	in	ADP
cana-4447	264	13	a	a	DET
cana-4447	264	14	video	video	NOUN
cana-4447	264	15	,	,	PUNCT
cana-4447	264	16	utilizing	utilize	VERB
cana-4447	264	17	a	a	DET
cana-4447	264	18	cost	cost	NOUN
cana-4447	264	19	function	function	NOUN
cana-4447	264	20	,	,	PUNCT
cana-4447	264	21	regarded	regard	VERB
cana-4447	264	22	as	as	ADP
cana-4447	264	23	o(n2	o(n2	ADV
cana-4447	264	24	)	)	PUNCT
cana-4447	264	25	,	,	PUNCT
cana-4447	264	26	where	where	SCONJ
cana-4447	264	27	‘	'	PUNCT
cana-4447	264	28	n	n	CCONJ
cana-4447	264	29	’	'	PUNCT
cana-4447	264	30	denotes	denote	VERB
cana-4447	264	31	the	the	DET
cana-4447	264	32	dimension	dimension	NOUN
cana-4447	264	33	of	of	ADP
cana-4447	264	34	the	the	DET
cana-4447	264	35	estimated	estimate	VERB
cana-4447	264	36	state	state	NOUN
cana-4447	264	37	vector	vector	NOUN
cana-4447	264	38	,	,	PUNCT
cana-4447	264	39	due	due	ADP
cana-4447	264	40	to	to	ADP
cana-4447	264	41	the	the	DET
cana-4447	264	42	primary	primary	ADJ
cana-4447	264	43	operations	operation	NOUN
cana-4447	264	44	involving	involve	VERB
cana-4447	264	45	matrix	matrix	NOUN
cana-4447	264	46	multiplications	multiplication	NOUN
cana-4447	264	47	and	and	CCONJ
cana-4447	264	48	inversions	inversion	NOUN
cana-4447	264	49	that	that	PRON
cana-4447	264	50	scale	scale	VERB
cana-4447	264	51	quadratically	quadratically	ADV
cana-4447	264	52	with	with	ADP
cana-4447	264	53	the	the	DET
cana-4447	264	54	state	state	NOUN
cana-4447	264	55	size	size	NOUN
cana-4447	264	56	.	.	PUNCT
cana-4447	265	1	table	table	NOUN
cana-4447	265	2	1	1	NUM
cana-4447	265	3	.	.	PUNCT
cana-4447	266	1	cost	cost	NOUN
cana-4447	266	2	function	function	NOUN
cana-4447	266	3	values	value	NOUN
cana-4447	266	4	of	of	ADP
cana-4447	266	5	initial	initial	ADJ
cana-4447	266	6	and	and	CCONJ
cana-4447	266	7	predicted	predict	VERB
cana-4447	266	8	frames	frame	NOUN
cana-4447	266	9	of	of	ADP
cana-4447	266	10	the	the	DET
cana-4447	266	11	videos	video	NOUN
cana-4447	266	12	1	1	NUM
cana-4447	266	13	to	to	PART
cana-4447	266	14	6	6	NUM
cana-4447	266	15	video	video	NOUN
cana-4447	266	16	no	no	DET
cana-4447	266	17	type	type	NOUN
cana-4447	266	18	of	of	ADP
cana-4447	266	19	the	the	DET
cana-4447	266	20	frame	frame	NOUN
cana-4447	266	21	bounding	bounding	NOUN
cana-4447	266	22	boxes	box	NOUN
cana-4447	266	23	ids	id	VERB
cana-4447	266	24	centroid	centroid	NOUN
cana-4447	266	25	distance	distance	NOUN
cana-4447	267	1	d	d	X
cana-4447	267	2	(	(	PUNCT
cana-4447	267	3	i	i	PROPN
cana-4447	267	4	,	,	PUNCT
cana-4447	267	5	j	j	PROPN
cana-4447	267	6	)	)	PUNCT
cana-4447	267	7	in	in	ADP
cana-4447	267	8	meters	meter	NOUN
cana-4447	267	9	area	area	NOUN
cana-4447	267	10	a	a	PRON
cana-4447	267	11	(	(	PUNCT
cana-4447	267	12	i	i	PROPN
cana-4447	267	13	,	,	PUNCT
cana-4447	267	14	j	j	PROPN
cana-4447	267	15	)	)	PUNCT
cana-4447	267	16	in	in	ADP
cana-4447	267	17	meters	meter	NOUN
cana-4447	267	18	cost	cost	NOUN
cana-4447	267	19	function	function	NOUN
cana-4447	267	20	value	value	NOUN
cana-4447	267	21	v	v	NOUN
cana-4447	267	22	(	(	PUNCT
cana-4447	267	23	i	i	PROPN
cana-4447	267	24	,	,	PUNCT
cana-4447	267	25	j	j	PROPN
cana-4447	267	26	)	)	PUNCT
cana-4447	267	27	1	1	NUM
cana-4447	267	28	initial	initial	ADJ
cana-4447	267	29	frame	frame	NOUN
cana-4447	267	30	1	1	NUM
cana-4447	267	31	,	,	PUNCT
cana-4447	267	32	2	2	NUM
cana-4447	267	33	0.6	0.6	NUM
cana-4447	267	34	0.9	0.9	NUM
cana-4447	267	35	0.66	0.66	NUM
cana-4447	267	36	predicted	predict	VERB
cana-4447	267	37	frame	frame	NOUN
cana-4447	267	38	1	1	NUM
cana-4447	267	39	,	,	PUNCT
cana-4447	267	40	2	2	NUM
cana-4447	267	41	0.2	0.2	NUM
cana-4447	267	42	0.1	0.1	NUM
cana-4447	267	43	0.18	0.18	NUM
cana-4447	267	44	2	2	NUM
cana-4447	267	45	initial	initial	ADJ
cana-4447	267	46	frame	frame	NOUN
cana-4447	267	47	1	1	NUM
cana-4447	267	48	,	,	PUNCT
cana-4447	267	49	2,3	2,3	NUM
cana-4447	267	50	,	,	PUNCT
cana-4447	267	51	4	4	NUM
cana-4447	267	52	0.9	0.9	NUM
cana-4447	267	53	0.9	0.9	NUM
cana-4447	267	54	0.9	0.9	NUM
cana-4447	267	55	predicted	predict	VERB
cana-4447	267	56	frame	frame	NOUN
cana-4447	267	57	1	1	NUM
cana-4447	267	58	,	,	PUNCT
cana-4447	267	59	2	2	NUM
cana-4447	267	60	0.3	0.3	NUM
cana-4447	267	61	0.1	0.1	NUM
cana-4447	267	62	0.26	0.26	NUM
cana-4447	267	63	3	3	NUM
cana-4447	267	64	initial	initial	ADJ
cana-4447	267	65	frame	frame	NOUN
cana-4447	267	66	1	1	NUM
cana-4447	267	67	,	,	PUNCT
cana-4447	267	68	2	2	NUM
cana-4447	267	69	0.5	0.5	NUM
cana-4447	267	70	0.4	0.4	NUM
cana-4447	267	71	0.48	0.48	NUM
cana-4447	267	72	predicted	predict	VERB
cana-4447	267	73	frame	frame	NOUN
cana-4447	267	74	1	1	NUM
cana-4447	267	75	,	,	PUNCT
cana-4447	267	76	2	2	NUM
cana-4447	267	77	0.1	0.1	NUM
cana-4447	267	78	0.1	0.1	NUM
cana-4447	267	79	0.1	0.1	NUM
cana-4447	267	80	4	4	NUM
cana-4447	267	81	initial	initial	ADJ
cana-4447	267	82	frame	frame	NOUN
cana-4447	267	83	1	1	NUM
cana-4447	267	84	,	,	PUNCT
cana-4447	267	85	2	2	NUM
cana-4447	267	86	0.9	0.9	NUM
cana-4447	267	87	0.9	0.9	NUM
cana-4447	267	88	0.9	0.9	NUM
cana-4447	267	89	predicted	predict	VERB
cana-4447	267	90	frame	frame	NOUN
cana-4447	267	91	1	1	NUM
cana-4447	267	92	,	,	PUNCT
cana-4447	267	93	2	2	NUM
cana-4447	267	94	0.3	0.3	NUM
cana-4447	267	95	0.2	0.2	NUM
cana-4447	267	96	0.28	0.28	NUM
cana-4447	267	97	5	5	NUM
cana-4447	267	98	initial	initial	ADJ
cana-4447	267	99	frame	frame	NOUN
cana-4447	267	100	1	1	NUM
cana-4447	267	101	,	,	PUNCT
cana-4447	267	102	2	2	NUM
cana-4447	267	103	,	,	PUNCT
cana-4447	267	104	3	3	NUM
cana-4447	267	105	,	,	PUNCT
cana-4447	267	106	4	4	NUM
cana-4447	267	107	,	,	PUNCT
cana-4447	267	108	5	5	NUM
cana-4447	267	109	,	,	PUNCT
cana-4447	267	110	6	6	NUM
cana-4447	267	111	0.7	0.7	NUM
cana-4447	267	112	0.8	0.8	NUM
cana-4447	267	113	0.72	0.72	NUM
cana-4447	267	114	predicted	predict	VERB
cana-4447	267	115	frame	frame	NOUN
cana-4447	267	116	1	1	NUM
cana-4447	267	117	,	,	PUNCT
cana-4447	267	118	2	2	NUM
cana-4447	267	119	0.4	0.4	NUM
cana-4447	267	120	0.3	0.3	NUM
cana-4447	267	121	0.38	0.38	NUM
cana-4447	267	122	6	6	NUM
cana-4447	267	123	initial	initial	ADJ
cana-4447	267	124	frame	frame	NOUN
cana-4447	267	125	1	1	NUM
cana-4447	267	126	,	,	PUNCT
cana-4447	267	127	2	2	NUM
cana-4447	267	128	0.9	0.9	NUM
cana-4447	267	129	0.9	0.9	NUM
cana-4447	267	130	0.9	0.9	NUM
cana-4447	267	131	predicted	predict	VERB
cana-4447	267	132	frame	frame	NOUN
cana-4447	267	133	1	1	NUM
cana-4447	267	134	,	,	PUNCT
cana-4447	267	135	2	2	NUM
cana-4447	267	136	0.2	0.2	NUM
cana-4447	267	137	0.3	0.3	NUM
cana-4447	267	138	0.22	0.22	NUM
cana-4447	267	139	communications	communication	NOUN
cana-4447	267	140	on	on	ADP
cana-4447	267	141	applied	apply	VERB
cana-4447	267	142	nonlinear	nonlinear	ADJ
cana-4447	267	143	analysis	analysis	NOUN
cana-4447	267	144	issn	issn	NOUN
cana-4447	267	145	:	:	PUNCT
cana-4447	267	146	1074	1074	NUM
cana-4447	267	147	-	-	PUNCT
cana-4447	267	148	133x	133x	NUM
cana-4447	267	149	vol	vol	NOUN
cana-4447	267	150	32	32	NUM
cana-4447	267	151	no	no	NOUN
cana-4447	267	152	.	.	PUNCT
cana-4447	268	1	9s	9s	NUM
cana-4447	268	2	(	(	PUNCT
cana-4447	268	3	2025	2025	NUM
cana-4447	268	4	)	)	PUNCT
cana-4447	268	5	2063	2063	NUM
cana-4447	269	1	https://internationalpubls.com	https://internationalpubls.com	X
cana-4447	269	2	figure	figure	NOUN
cana-4447	269	3	6	6	NUM
cana-4447	269	4	.	.	PUNCT
cana-4447	269	5	predicted	predict	VERB
cana-4447	269	6	frames	frame	NOUN
cana-4447	269	7	of	of	ADP
cana-4447	269	8	video	video	NOUN
cana-4447	269	9	1	1	NUM
cana-4447	269	10	to	to	ADP
cana-4447	269	11	6	6	NUM
cana-4447	269	12	,	,	PUNCT
cana-4447	269	13	video-1	video-1	NUM
cana-4447	269	14	:	:	PUNCT
cana-4447	269	15	frame	frame	NOUN
cana-4447	269	16	no-1098	no-1098	NOUN
cana-4447	269	17	,	,	PUNCT
cana-4447	269	18	video-2	video-2	PROPN
cana-4447	269	19	:	:	PUNCT
cana-4447	269	20	frame	frame	PROPN
cana-4447	269	21	no-992	no-992	PROPN
cana-4447	269	22	,	,	PUNCT
cana-4447	269	23	video-3	video-3	NUM
cana-4447	269	24	:	:	PUNCT
cana-4447	269	25	frame	frame	NOUN
cana-4447	269	26	no600	no600	PROPN
cana-4447	269	27	,	,	PUNCT
cana-4447	269	28	video-4	video-4	PROPN
cana-4447	269	29	:	:	PUNCT
cana-4447	269	30	frame	frame	NOUN
cana-4447	269	31	no-2025	no-2025	ADV
cana-4447	269	32	,	,	PUNCT
cana-4447	269	33	video-5	video-5	PROPN
cana-4447	269	34	:	:	PUNCT
cana-4447	269	35	frame	frame	NOUN
cana-4447	269	36	no-1566	no-1566	PROPN
cana-4447	269	37	,	,	PUNCT
cana-4447	269	38	and	and	CCONJ
cana-4447	269	39	video-6	video-6	NUM
cana-4447	269	40	:	:	PUNCT
cana-4447	269	41	frame	frame	NOUN
cana-4447	269	42	no-1231	no-1231	PROPN
cana-4447	269	43	have	have	VERB
cana-4447	269	44	smaller	small	ADJ
cana-4447	269	45	cost	cost	NOUN
cana-4447	269	46	function	function	NOUN
cana-4447	269	47	values	value	NOUN
cana-4447	269	48	.	.	PUNCT
cana-4447	270	1	2.2	2.2	NUM
cana-4447	270	2	.	.	PUNCT
cana-4447	271	1	step-2	step-2	PROPN
cana-4447	271	2	:	:	PUNCT
cana-4447	271	3	mediapipe	mediapipe	PROPN
cana-4447	271	4	pose	pose	NOUN
cana-4447	271	5	(	(	PUNCT
cana-4447	271	6	mpp	mpp	NOUN
cana-4447	271	7	)	)	PUNCT
cana-4447	271	8	landmark	landmark	NOUN
cana-4447	271	9	detector	detector	NOUN
cana-4447	271	10	feature	feature	NOUN
cana-4447	271	11	extraction	extraction	NOUN
cana-4447	271	12	technique	technique	NOUN
cana-4447	271	13	mpp	mpp	NOUN
cana-4447	271	14	landmark	landmark	NOUN
cana-4447	271	15	is	be	AUX
cana-4447	271	16	used	use	VERB
cana-4447	271	17	to	to	PART
cana-4447	271	18	identify	identify	VERB
cana-4447	271	19	significant	significant	ADJ
cana-4447	271	20	human	human	ADJ
cana-4447	271	21	body	body	NOUN
cana-4447	271	22	parts	part	NOUN
cana-4447	271	23	in	in	ADP
cana-4447	271	24	a	a	DET
cana-4447	271	25	picture	picture	NOUN
cana-4447	271	26	or	or	CCONJ
cana-4447	271	27	video	video	NOUN
cana-4447	271	28	.	.	PUNCT
cana-4447	272	1	it	it	PRON
cana-4447	272	2	accepts	accept	VERB
cana-4447	272	3	an	an	DET
cana-4447	272	4	image	image	NOUN
cana-4447	272	5	or	or	CCONJ
cana-4447	272	6	frame	frame	NOUN
cana-4447	272	7	as	as	ADP
cana-4447	272	8	input	input	NOUN
cana-4447	272	9	and	and	CCONJ
cana-4447	272	10	generates	generate	VERB
cana-4447	272	11	the	the	DET
cana-4447	272	12	location	location	NOUN
cana-4447	272	13	of	of	ADP
cana-4447	272	14	each	each	DET
cana-4447	272	15	instance	instance	NOUN
cana-4447	272	16	's	's	PART
cana-4447	272	17	posture	posture	NOUN
cana-4447	272	18	landmark	landmark	NOUN
cana-4447	272	19	.	.	PUNCT
cana-4447	273	1	it	it	PRON
cana-4447	273	2	also	also	ADV
cana-4447	273	3	calculates	calculate	VERB
cana-4447	273	4	the	the	DET
cana-4447	273	5	visibility	visibility	NOUN
cana-4447	273	6	(	(	PUNCT
cana-4447	273	7	v	v	NOUN
cana-4447	273	8	)	)	PUNCT
cana-4447	273	9	value	value	NOUN
cana-4447	273	10	and	and	CCONJ
cana-4447	273	11	the	the	DET
cana-4447	273	12	placements	placement	NOUN
cana-4447	273	13	of	of	ADP
cana-4447	273	14	(	(	PUNCT
cana-4447	273	15	ximage	ximage	NOUN
cana-4447	273	16	width	width	NOUN
cana-4447	273	17	)	)	PUNCT
cana-4447	273	18	,	,	PUNCT
cana-4447	273	19	(	(	PUNCT
cana-4447	273	20	yimage	yimage	NOUN
cana-4447	273	21	height	height	NOUN
cana-4447	273	22	)	)	PUNCT
cana-4447	273	23	,	,	PUNCT
cana-4447	273	24	and	and	CCONJ
cana-4447	273	25	(	(	PUNCT
cana-4447	273	26	zlandmarks	zlandmark	NOUN
cana-4447	273	27	depth	depth	NOUN
cana-4447	273	28	)	)	PUNCT
cana-4447	273	29	(	(	PUNCT
cana-4447	273	30	3d	3d	X
cana-4447	273	31	)	)	PUNCT
cana-4447	273	32	lie	lie	NOUN
cana-4447	273	33	between	between	ADP
cana-4447	273	34	0.0	0.0	NUM
cana-4447	273	35	and	and	CCONJ
cana-4447	273	36	1.0	1.0	NUM
cana-4447	273	37	for	for	ADP
cana-4447	273	38	one	one	NUM
cana-4447	273	39	and	and	CCONJ
cana-4447	273	40	all	all	ADV
cana-4447	273	41	-	-	PUNCT
cana-4447	273	42	important	important	ADJ
cana-4447	273	43	spots	spot	NOUN
cana-4447	273	44	[	[	X
cana-4447	273	45	24	24	NUM
cana-4447	273	46	]	]	PUNCT
cana-4447	273	47	.	.	PUNCT
cana-4447	274	1	figure	figure	NOUN
cana-4447	274	2	6	6	NUM
cana-4447	274	3	presented	present	VERB
cana-4447	274	4	kfa	kfa	PROPN
cana-4447	274	5	predicted	predict	VERB
cana-4447	274	6	video	video	NOUN
cana-4447	274	7	frame	frame	NOUN
cana-4447	274	8	numbersvideo-1	numbersvideo-1	NOUN
cana-4447	274	9	:	:	PUNCT
cana-4447	274	10	frame	frame	NOUN
cana-4447	274	11	no-1098	no-1098	NOUN
cana-4447	274	12	,	,	PUNCT
cana-4447	274	13	video-2	video-2	PROPN
cana-4447	274	14	:	:	PUNCT
cana-4447	274	15	frame	frame	PROPN
cana-4447	274	16	no-992	no-992	PROPN
cana-4447	274	17	,	,	PUNCT
cana-4447	274	18	video-3	video-3	PROPN
cana-4447	274	19	:	:	PUNCT
cana-4447	274	20	frame	frame	PROPN
cana-4447	274	21	no-600	no-600	PROPN
cana-4447	274	22	,	,	PUNCT
cana-4447	274	23	video-4	video-4	PROPN
cana-4447	274	24	:	:	PUNCT
cana-4447	274	25	frame	frame	NOUN
cana-4447	274	26	no-2025	no-2025	ADV
cana-4447	274	27	,	,	PUNCT
cana-4447	274	28	video-5	video-5	PROPN
cana-4447	274	29	:	:	PUNCT
cana-4447	274	30	frame	frame	NOUN
cana-4447	274	31	no-1566	no-1566	PROPN
cana-4447	274	32	,	,	PUNCT
cana-4447	274	33	and	and	CCONJ
cana-4447	274	34	video-6	video-6	NUM
cana-4447	274	35	:	:	PUNCT
cana-4447	274	36	frame	frame	NOUN
cana-4447	274	37	no-1231	no-1231	PROPN
cana-4447	274	38	has	have	AUX
cana-4447	274	39	been	be	AUX
cana-4447	274	40	considered	consider	VERB
cana-4447	274	41	as	as	ADP
cana-4447	274	42	input	input	NOUN
cana-4447	274	43	to	to	ADP
cana-4447	274	44	mediapipe	mediapipe	NOUN
cana-4447	274	45	framework	framework	NOUN
cana-4447	274	46	to	to	PART
cana-4447	274	47	identify	identify	VERB
cana-4447	274	48	landmarks	landmark	NOUN
cana-4447	274	49	and	and	CCONJ
cana-4447	274	50	postures	posture	NOUN
cana-4447	274	51	.	.	PUNCT
cana-4447	275	1	figure	figure	VERB
cana-4447	275	2	7	7	NUM
cana-4447	275	3	displays	display	NOUN
cana-4447	275	4	predicted	predict	VERB
cana-4447	275	5	frame	frame	NOUN
cana-4447	275	6	numbers	number	NOUN
cana-4447	275	7	:	:	PUNCT
cana-4447	275	8	1098	1098	NUM
cana-4447	275	9	designated	designate	VERB
cana-4447	275	10	as	as	ADP
cana-4447	275	11	p1	p1	PROPN
cana-4447	275	12	,	,	PUNCT
cana-4447	275	13	992	992	NUM
cana-4447	275	14	as	as	ADP
cana-4447	275	15	p2	p2	NOUN
cana-4447	275	16	,	,	PUNCT
cana-4447	275	17	600	600	NUM
cana-4447	275	18	as	as	ADP
cana-4447	275	19	p3	p3	PROPN
cana-4447	275	20	,	,	PUNCT
cana-4447	275	21	2025	2025	NUM
cana-4447	275	22	as	as	ADP
cana-4447	275	23	p4	p4	ADJ
cana-4447	275	24	,	,	PUNCT
cana-4447	275	25	1566	1566	NUM
cana-4447	275	26	as	as	ADP
cana-4447	275	27	p5	p5	ADJ
cana-4447	275	28	,	,	PUNCT
cana-4447	275	29	and	and	CCONJ
cana-4447	275	30	1231	1231	NUM
cana-4447	275	31	as	as	ADP
cana-4447	275	32	p6	p6	PROPN
cana-4447	275	33	respectively	respectively	ADV
cana-4447	275	34	.	.	PUNCT
cana-4447	276	1	figure	figure	NOUN
cana-4447	276	2	8	8	NUM
cana-4447	276	3	also	also	ADV
cana-4447	276	4	presents	present	VERB
cana-4447	276	5	templates	template	NOUN
cana-4447	276	6	for	for	ADP
cana-4447	276	7	shooting	shooting	NOUN
cana-4447	276	8	,	,	PUNCT
cana-4447	276	9	fighting	fighting	NOUN
cana-4447	276	10	,	,	PUNCT
cana-4447	276	11	and	and	CCONJ
cana-4447	276	12	kicking	kicking	NOUN
cana-4447	276	13	activities	activity	NOUN
cana-4447	276	14	.	.	PUNCT
cana-4447	277	1	to	to	PART
cana-4447	277	2	construct	construct	VERB
cana-4447	277	3	landmarks	landmark	NOUN
cana-4447	277	4	of	of	ADP
cana-4447	277	5	figures	figure	NOUN
cana-4447	277	6	7	7	NUM
cana-4447	277	7	and	and	CCONJ
cana-4447	277	8	8	8	NUM
cana-4447	277	9	of	of	ADP
cana-4447	277	10	humans	human	NOUN
cana-4447	277	11	,	,	PUNCT
cana-4447	277	12	the	the	DET
cana-4447	277	13	mediapipe	mediapipe	NOUN
cana-4447	277	14	framework	framework	NOUN
cana-4447	277	15	[	[	X
cana-4447	277	16	15	15	NUM
cana-4447	277	17	]	]	PUNCT
cana-4447	277	18	is	be	AUX
cana-4447	277	19	used	use	VERB
cana-4447	277	20	.	.	PUNCT
cana-4447	278	1	mediapipe	mediapipe	PROPN
cana-4447	278	2	pose	pose	NOUN
cana-4447	278	3	[	[	X
cana-4447	278	4	9	9	NUM
cana-4447	278	5	]	]	PUNCT
cana-4447	278	6	framework	framework	NOUN
cana-4447	278	7	is	be	AUX
cana-4447	278	8	used	use	VERB
cana-4447	278	9	to	to	PART
cana-4447	278	10	find	find	VERB
cana-4447	278	11	the	the	DET
cana-4447	278	12	landmarks	landmark	NOUN
cana-4447	278	13	(	(	PUNCT
cana-4447	278	14	key	key	ADJ
cana-4447	278	15	body	body	NOUN
cana-4447	278	16	locations	location	NOUN
cana-4447	278	17	)	)	PUNCT
cana-4447	278	18	,	,	PUNCT
cana-4447	278	19	and	and	CCONJ
cana-4447	278	20	to	to	PART
cana-4447	278	21	analyze	analyze	VERB
cana-4447	278	22	the	the	DET
cana-4447	278	23	posture	posture	NOUN
cana-4447	278	24	of	of	ADP
cana-4447	278	25	the	the	DET
cana-4447	278	26	human	human	ADJ
cana-4447	278	27	body	body	NOUN
cana-4447	278	28	[	[	X
cana-4447	278	29	10	10	NUM
cana-4447	278	30	]	]	PUNCT
cana-4447	278	31	,	,	PUNCT
cana-4447	279	1	[	[	X
cana-4447	279	2	21	21	NUM
cana-4447	279	3	]	]	PUNCT
cana-4447	279	4	,	,	PUNCT
cana-4447	280	1	[	[	X
cana-4447	280	2	22	22	NUM
cana-4447	280	3	]	]	PUNCT
cana-4447	280	4	.	.	PUNCT
cana-4447	281	1	human	human	ADJ
cana-4447	281	2	landmarks	landmark	NOUN
cana-4447	281	3	[	[	X
cana-4447	281	4	21	21	NUM
cana-4447	281	5	]	]	X
cana-4447	281	6	(	(	PUNCT
cana-4447	281	7	0	0	NUM
cana-4447	281	8	to	to	PART
cana-4447	281	9	32	32	NUM
cana-4447	281	10	)	)	PUNCT
cana-4447	281	11	are	be	AUX
cana-4447	281	12	depicted	depict	VERB
cana-4447	281	13	in	in	ADP
cana-4447	281	14	figure	figure	NOUN
cana-4447	281	15	9	9	NUM
cana-4447	281	16	.	.	PUNCT
cana-4447	281	17	landmarks	landmark	NOUN
cana-4447	281	18	and	and	CCONJ
cana-4447	281	19	postures	posture	NOUN
cana-4447	281	20	are	be	AUX
cana-4447	281	21	extracted	extract	VERB
cana-4447	281	22	by	by	ADP
cana-4447	281	23	using	use	VERB
cana-4447	281	24	a	a	DET
cana-4447	281	25	mediapipe	mediapipe	NOUN
cana-4447	281	26	pose	pose	NOUN
cana-4447	281	27	(	(	PUNCT
cana-4447	281	28	mpp	mpp	NOUN
cana-4447	281	29	)	)	PUNCT
cana-4447	281	30	landmark	landmark	NOUN
cana-4447	281	31	detector	detector	NOUN
cana-4447	281	32	.	.	PUNCT
cana-4447	282	1	figure	figure	VERB
cana-4447	282	2	7	7	NUM
cana-4447	282	3	presents	present	NOUN
cana-4447	282	4	predicted	predict	VERB
cana-4447	282	5	frames	frame	NOUN
cana-4447	282	6	(	(	PUNCT
cana-4447	282	7	p1	p1	NOUN
cana-4447	282	8	to	to	PART
cana-4447	282	9	p6	p6	PROPN
cana-4447	282	10	)	)	PUNCT
cana-4447	282	11	and	and	CCONJ
cana-4447	282	12	figure	figure	VERB
cana-4447	282	13	8	8	NUM
cana-4447	282	14	presents	present	NOUN
cana-4447	282	15	templates	template	NOUN
cana-4447	282	16	(	(	PUNCT
cana-4447	282	17	shooting	shooting	NOUN
cana-4447	282	18	,	,	PUNCT
cana-4447	282	19	fighting	fighting	NOUN
cana-4447	282	20	,	,	PUNCT
cana-4447	282	21	and	and	CCONJ
cana-4447	282	22	kicking	kicking	NOUN
cana-4447	282	23	)	)	PUNCT
cana-4447	282	24	that	that	PRON
cana-4447	282	25	are	be	AUX
cana-4447	282	26	passed	pass	VERB
cana-4447	282	27	to	to	ADP
cana-4447	282	28	the	the	DET
cana-4447	282	29	mpp	mpp	NOUN
cana-4447	282	30	detection	detection	PROPN
cana-4447	282	31	ml	ml	ADP
cana-4447	282	32	pipeline	pipeline	PROPN
cana-4447	282	33	,	,	PUNCT
cana-4447	282	34	which	which	PRON
cana-4447	282	35	has	have	VERB
cana-4447	282	36	2	2	NUM
cana-4447	282	37	-	-	PUNCT
cana-4447	282	38	step	step	NOUN
cana-4447	282	39	detectors	detector	NOUN
cana-4447	282	40	i	i	NOUN
cana-4447	282	41	)	)	PUNCT
cana-4447	282	42	person	person	NOUN
cana-4447	282	43	detector	detector	NOUN
cana-4447	282	44	and	and	CCONJ
cana-4447	282	45	ii	ii	NOUN
cana-4447	282	46	)	)	PUNCT
cana-4447	282	47	landmarks	landmark	NOUN
cana-4447	282	48	detector	detector	NOUN
cana-4447	282	49	.	.	PUNCT
cana-4447	283	1	mediapipe	mediapipe	PROPN
cana-4447	283	2	features	feature	VERB
cana-4447	283	3	an	an	DET
cana-4447	283	4	integrated	integrate	VERB
cana-4447	283	5	automatic	automatic	ADJ
cana-4447	283	6	pre	pre	ADJ
cana-4447	283	7	-	-	ADJ
cana-4447	283	8	processing	processing	ADJ
cana-4447	283	9	mechanism	mechanism	NOUN
cana-4447	283	10	for	for	ADP
cana-4447	283	11	video	video	NOUN
cana-4447	283	12	data	datum	NOUN
cana-4447	283	13	that	that	PRON
cana-4447	283	14	decreases	decrease	VERB
cana-4447	283	15	computational	computational	ADJ
cana-4447	283	16	complexity	complexity	NOUN
cana-4447	283	17	relative	relative	ADJ
cana-4447	283	18	to	to	ADP
cana-4447	283	19	manual	manual	ADJ
cana-4447	283	20	implementation	implementation	NOUN
cana-4447	283	21	.	.	PUNCT
cana-4447	284	1	the	the	DET
cana-4447	284	2	mp	mp	PROPN
cana-4447	284	3	library	library	PROPN
cana-4447	284	4	employs	employ	VERB
cana-4447	284	5	an	an	DET
cana-4447	284	6	integrated	integrated	ADJ
cana-4447	284	7	automatic	automatic	ADJ
cana-4447	284	8	selfie	selfie	NOUN
cana-4447	284	9	segmentation	segmentation	NOUN
cana-4447	284	10	pre	pre	ADJ
cana-4447	284	11	-	-	ADJ
cana-4447	284	12	processing	processing	ADJ
cana-4447	284	13	model	model	NOUN
cana-4447	284	14	[	[	X
cana-4447	284	15	25	25	NUM
cana-4447	284	16	]	]	PUNCT
cana-4447	284	17	.	.	PUNCT
cana-4447	285	1	it	it	PRON
cana-4447	285	2	uses	use	VERB
cana-4447	285	3	a	a	DET
cana-4447	285	4	process	process	NOUN
cana-4447	285	5	function	function	NOUN
cana-4447	285	6	to	to	PART
cana-4447	285	7	remove	remove	VERB
cana-4447	285	8	the	the	DET
cana-4447	285	9	background	background	NOUN
cana-4447	285	10	of	of	ADP
cana-4447	285	11	the	the	DET
cana-4447	285	12	video	video	NOUN
cana-4447	285	13	frame	frame	NOUN
cana-4447	285	14	.	.	PUNCT
cana-4447	286	1	human	human	ADJ
cana-4447	286	2	landmarks	landmark	NOUN
cana-4447	286	3	and	and	CCONJ
cana-4447	286	4	posture	posture	NOUN
cana-4447	286	5	in	in	ADP
cana-4447	286	6	the	the	DET
cana-4447	286	7	video	video	NOUN
cana-4447	286	8	frame	frame	NOUN
cana-4447	286	9	are	be	AUX
cana-4447	286	10	estimated	estimate	VERB
cana-4447	286	11	.	.	PUNCT
cana-4447	287	1	mp	mp	PROPN
cana-4447	287	2	estimates	estimate	VERB
cana-4447	287	3	the	the	DET
cana-4447	287	4	human	human	ADJ
cana-4447	287	5	objects	object	NOUN
cana-4447	287	6	’	'	PUNCT
cana-4447	287	7	landmarks	landmark	NOUN
cana-4447	287	8	(	(	PUNCT
cana-4447	287	9	0	0	NUM
cana-4447	287	10	to	to	ADP
cana-4447	287	11	32	32	NUM
cana-4447	287	12	)	)	PUNCT
cana-4447	287	13	,	,	PUNCT
cana-4447	287	14	in	in	ADP
cana-4447	287	15	the	the	DET
cana-4447	287	16	pre	pre	ADJ
cana-4447	287	17	-	-	ADJ
cana-4447	287	18	processed	process	VERB
cana-4447	287	19	video	video	NOUN
cana-4447	287	20	frames	frame	NOUN
cana-4447	287	21	as	as	SCONJ
cana-4447	287	22	shown	show	VERB
cana-4447	287	23	in	in	ADP
cana-4447	287	24	figure	figure	NOUN
cana-4447	287	25	9	9	NUM
cana-4447	287	26	.	.	PUNCT
cana-4447	288	1	communications	communication	NOUN
cana-4447	288	2	on	on	ADP
cana-4447	288	3	applied	apply	VERB
cana-4447	288	4	nonlinear	nonlinear	ADJ
cana-4447	288	5	analysis	analysis	NOUN
cana-4447	288	6	issn	issn	NOUN
cana-4447	288	7	:	:	PUNCT
cana-4447	288	8	1074	1074	NUM
cana-4447	288	9	-	-	PUNCT
cana-4447	288	10	133x	133x	NUM
cana-4447	288	11	vol	vol	NOUN
cana-4447	288	12	32	32	NUM
cana-4447	288	13	no	no	NOUN
cana-4447	288	14	.	.	PUNCT
cana-4447	289	1	9s	9s	NUM
cana-4447	289	2	(	(	PUNCT
cana-4447	289	3	2025	2025	NUM
cana-4447	289	4	)	)	PUNCT
cana-4447	289	5	2064	2064	NUM
cana-4447	289	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-4447	289	7	figure	figure	NOUN
cana-4447	289	8	7	7	NUM
cana-4447	289	9	.	.	PUNCT
cana-4447	289	10	predicted	predict	VERB
cana-4447	289	11	video	video	NOUN
cana-4447	289	12	frames	frame	NOUN
cana-4447	289	13	(	(	PUNCT
cana-4447	289	14	p1	p1	NOUN
cana-4447	289	15	to	to	PART
cana-4447	289	16	p6	p6	PROPN
cana-4447	289	17	)	)	PUNCT
cana-4447	289	18	of	of	ADP
cana-4447	289	19	different	different	ADJ
cana-4447	289	20	human	human	ADJ
cana-4447	289	21	activities	activity	NOUN
cana-4447	289	22	from	from	ADP
cana-4447	289	23	left	leave	VERB
cana-4447	289	24	to	to	ADP
cana-4447	289	25	right	right	NOUN
cana-4447	289	26	(	(	PUNCT
cana-4447	289	27	train	train	NOUN
cana-4447	289	28	data	data	NOUN
cana-4447	289	29	)	)	PUNCT
cana-4447	289	30	figure	figure	NOUN
cana-4447	289	31	8	8	NUM
cana-4447	289	32	.	.	PUNCT
cana-4447	290	1	shooting	shooting	NOUN
cana-4447	290	2	,	,	PUNCT
cana-4447	290	3	fighting	fighting	NOUN
cana-4447	290	4	,	,	PUNCT
cana-4447	290	5	and	and	CCONJ
cana-4447	290	6	kicking	kick	VERB
cana-4447	290	7	activities	activity	NOUN
cana-4447	290	8	to	to	PART
cana-4447	290	9	test	test	VERB
cana-4447	290	10	(	(	PUNCT
cana-4447	290	11	templates	template	NOUN
cana-4447	290	12	)	)	PUNCT
cana-4447	290	13	from	from	ADP
cana-4447	290	14	left	leave	VERB
cana-4447	290	15	to	to	ADP
cana-4447	290	16	right	right	NOUN
cana-4447	290	17	.	.	PUNCT
cana-4447	291	1	figure	figure	NOUN
cana-4447	291	2	9	9	NUM
cana-4447	291	3	.	.	PUNCT
cana-4447	292	1	pose	pose	NOUN
cana-4447	292	2	reference	reference	NOUN
cana-4447	292	3	points	point	NOUN
cana-4447	292	4	from	from	ADP
cana-4447	292	5	mediapipe	mediapipe	NOUN
cana-4447	292	6	blazepose	blazepose	NOUN
cana-4447	292	7	[	[	X
cana-4447	292	8	21	21	NUM
cana-4447	292	9	]	]	PUNCT
cana-4447	292	10	communications	communication	NOUN
cana-4447	292	11	on	on	ADP
cana-4447	292	12	applied	apply	VERB
cana-4447	292	13	nonlinear	nonlinear	ADJ
cana-4447	292	14	analysis	analysis	NOUN
cana-4447	292	15	issn	issn	NOUN
cana-4447	292	16	:	:	PUNCT
cana-4447	292	17	1074	1074	NUM
cana-4447	292	18	-	-	PUNCT
cana-4447	292	19	133x	133x	NUM
cana-4447	292	20	vol	vol	NOUN
cana-4447	292	21	32	32	NUM
cana-4447	292	22	no	no	NOUN
cana-4447	292	23	.	.	PUNCT
cana-4447	293	1	9s	9s	NUM
cana-4447	293	2	(	(	PUNCT
cana-4447	293	3	2025	2025	NUM
cana-4447	293	4	)	)	PUNCT
cana-4447	293	5	2065	2065	NUM
cana-4447	293	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-4447	294	1	the	the	DET
cana-4447	294	2	pose	pose	NOUN
cana-4447	294	3	detection	detection	NOUN
cana-4447	294	4	model	model	NOUN
cana-4447	294	5	[	[	X
cana-4447	294	6	26	26	NUM
cana-4447	294	7	]	]	PUNCT
cana-4447	294	8	is	be	AUX
cana-4447	294	9	used	use	VERB
cana-4447	294	10	to	to	PART
cana-4447	294	11	detect	detect	VERB
cana-4447	294	12	the	the	DET
cana-4447	294	13	presence	presence	NOUN
cana-4447	294	14	of	of	ADP
cana-4447	294	15	bodies	body	NOUN
cana-4447	294	16	with	with	ADP
cana-4447	294	17	key	key	ADJ
cana-4447	294	18	pose	pose	NOUN
cana-4447	294	19	landmarks	landmark	NOUN
cana-4447	294	20	and	and	CCONJ
cana-4447	294	21	the	the	DET
cana-4447	294	22	postures	posture	NOUN
cana-4447	294	23	of	of	ADP
cana-4447	294	24	the	the	DET
cana-4447	294	25	training	training	NOUN
cana-4447	294	26	data	datum	NOUN
cana-4447	294	27	(	(	PUNCT
cana-4447	294	28	p1	p1	NOUN
cana-4447	294	29	to	to	PART
cana-4447	294	30	p6	p6	PROPN
cana-4447	294	31	)	)	PUNCT
cana-4447	294	32	and	and	CCONJ
cana-4447	294	33	test	test	NOUN
cana-4447	294	34	data	datum	NOUN
cana-4447	294	35	(	(	PUNCT
cana-4447	294	36	templates	template	NOUN
cana-4447	294	37	)	)	PUNCT
cana-4447	294	38	,	,	PUNCT
cana-4447	294	39	as	as	SCONJ
cana-4447	294	40	shown	show	VERB
cana-4447	294	41	in	in	ADP
cana-4447	294	42	figures	figure	NOUN
cana-4447	294	43	10	10	NUM
cana-4447	294	44	and	and	CCONJ
cana-4447	294	45	,	,	PUNCT
cana-4447	294	46	11	11	NUM
cana-4447	294	47	respectively	respectively	ADV
cana-4447	294	48	.	.	PUNCT
cana-4447	295	1	the	the	DET
cana-4447	295	2	mediapipe	mediapipe	NOUN
cana-4447	295	3	pose	pose	NOUN
cana-4447	295	4	(	(	PUNCT
cana-4447	295	5	mpp	mpp	NOUN
cana-4447	295	6	)	)	PUNCT
cana-4447	295	7	detection	detection	NOUN
cana-4447	295	8	model	model	NOUN
cana-4447	295	9	effectively	effectively	ADV
cana-4447	295	10	predicts	predict	VERB
cana-4447	295	11	landmarks	landmark	NOUN
cana-4447	295	12	in	in	ADP
cana-4447	295	13	diverse	diverse	ADJ
cana-4447	295	14	video	video	NOUN
cana-4447	295	15	conditions	condition	NOUN
cana-4447	295	16	,	,	PUNCT
cana-4447	295	17	including	include	VERB
cana-4447	295	18	low	low	ADJ
cana-4447	295	19	quality	quality	NOUN
cana-4447	295	20	,	,	PUNCT
cana-4447	295	21	occlusion	occlusion	NOUN
cana-4447	295	22	,	,	PUNCT
cana-4447	295	23	overlapped	overlapped	ADJ
cana-4447	295	24	people	people	NOUN
cana-4447	295	25	,	,	PUNCT
cana-4447	295	26	small	small	ADJ
cana-4447	295	27	objects	object	NOUN
cana-4447	295	28	,	,	PUNCT
cana-4447	295	29	night	night	NOUN
cana-4447	295	30	videos	video	NOUN
cana-4447	295	31	,	,	PUNCT
cana-4447	295	32	moving	move	VERB
cana-4447	295	33	objects	object	NOUN
cana-4447	295	34	,	,	PUNCT
cana-4447	295	35	etc	etc	X
cana-4447	295	36	.	.	X
cana-4447	295	37	mpp	mpp	PROPN
cana-4447	295	38	default	default	NOUN
cana-4447	295	39	complexity	complexity	NOUN
cana-4447	295	40	is	be	AUX
cana-4447	295	41	1	1	NUM
cana-4447	295	42	.	.	PUNCT
cana-4447	295	43	figure	figure	NOUN
cana-4447	295	44	10	10	NUM
cana-4447	295	45	.	.	PUNCT
cana-4447	296	1	postures	posture	NOUN
cana-4447	296	2	(	(	PUNCT
cana-4447	296	3	p1	p1	NOUN
cana-4447	296	4	to	to	PART
cana-4447	296	5	p6	p6	PROPN
cana-4447	296	6	)	)	PUNCT
cana-4447	296	7	of	of	ADP
cana-4447	296	8	different	different	ADJ
cana-4447	296	9	human	human	ADJ
cana-4447	296	10	activities	activity	NOUN
cana-4447	296	11	from	from	ADP
cana-4447	296	12	left	leave	VERB
cana-4447	296	13	to	to	ADP
cana-4447	296	14	right	right	NOUN
cana-4447	296	15	(	(	PUNCT
cana-4447	296	16	train	train	NOUN
cana-4447	296	17	data	data	NOUN
cana-4447	296	18	)	)	PUNCT
cana-4447	296	19	figure	figure	NOUN
cana-4447	296	20	11	11	NUM
cana-4447	296	21	.	.	PUNCT
cana-4447	297	1	postures	posture	NOUN
cana-4447	297	2	of	of	ADP
cana-4447	297	3	templates	template	NOUN
cana-4447	297	4	shooting	shoot	VERB
cana-4447	297	5	,	,	PUNCT
cana-4447	297	6	fighting	fighting	NOUN
cana-4447	297	7	,	,	PUNCT
cana-4447	297	8	and	and	CCONJ
cana-4447	297	9	kicking	kick	VERB
cana-4447	297	10	activities	activity	NOUN
cana-4447	297	11	to	to	PART
cana-4447	297	12	test	test	VERB
cana-4447	297	13	(	(	PUNCT
cana-4447	297	14	templates	template	NOUN
cana-4447	297	15	)	)	PUNCT
cana-4447	297	16	from	from	ADP
cana-4447	297	17	left	leave	VERB
cana-4447	297	18	to	to	ADP
cana-4447	297	19	right	right	ADV
cana-4447	297	20	as	as	SCONJ
cana-4447	297	21	shown	show	VERB
cana-4447	297	22	in	in	ADP
cana-4447	297	23	figure	figure	NOUN
cana-4447	297	24	9	9	NUM
cana-4447	297	25	,	,	PUNCT
cana-4447	297	26	0	0	NUM
cana-4447	297	27	to	to	PART
cana-4447	297	28	32	32	NUM
cana-4447	297	29	expected	expect	VERB
cana-4447	297	30	landmarks	landmark	NOUN
cana-4447	297	31	for	for	ADP
cana-4447	297	32	the	the	DET
cana-4447	297	33	human	human	ADJ
cana-4447	297	34	stance	stance	NOUN
cana-4447	297	35	,	,	PUNCT
cana-4447	297	36	six	six	NUM
cana-4447	297	37	important	important	ADJ
cana-4447	297	38	key	key	ADJ
cana-4447	297	39	(	(	PUNCT
cana-4447	297	40	or	or	CCONJ
cana-4447	297	41	feature	feature	NOUN
cana-4447	297	42	vectors	vector	NOUN
cana-4447	297	43	)	)	PUNCT
cana-4447	297	44	related	relate	VERB
cana-4447	297	45	to	to	ADP
cana-4447	297	46	the	the	DET
cana-4447	297	47	human	human	ADJ
cana-4447	297	48	posture	posture	NOUN
cana-4447	297	49	are	be	AUX
cana-4447	297	50	used	use	VERB
cana-4447	297	51	to	to	PART
cana-4447	297	52	recognize	recognize	VERB
cana-4447	297	53	human	human	ADJ
cana-4447	297	54	activity	activity	NOUN
cana-4447	297	55	.	.	PUNCT
cana-4447	298	1	those	those	PRON
cana-4447	298	2	are	be	AUX
cana-4447	298	3	1	1	NUM
cana-4447	298	4	)	)	PUNCT
cana-4447	298	5	16	16	NUM
cana-4447	298	6	.	.	PUNCT
cana-4447	299	1	left_wrist	left_wrist	ADJ
cana-4447	299	2	2	2	NUM
cana-4447	299	3	)	)	PUNCT
cana-4447	299	4	15	15	NUM
cana-4447	299	5	.	.	PUNCT
cana-4447	300	1	right_wrist	right_wrist	NOUN
cana-4447	300	2	3	3	NUM
cana-4447	300	3	)	)	PUNCT
cana-4447	300	4	24	24	NUM
cana-4447	300	5	.	.	PUNCT
cana-4447	301	1	left_hip	left_hip	NUM
cana-4447	301	2	4	4	NUM
cana-4447	301	3	)	)	PUNCT
cana-4447	301	4	23	23	NUM
cana-4447	301	5	.	.	PUNCT
cana-4447	302	1	right_hip	right_hip	PROPN
cana-4447	302	2	5	5	NUM
cana-4447	302	3	)	)	PUNCT
cana-4447	302	4	28	28	NUM
cana-4447	302	5	.	.	PUNCT
cana-4447	303	1	left_ankle	left_ankle	NOUN
cana-4447	303	2	6	6	NUM
cana-4447	303	3	)	)	PUNCT
cana-4447	303	4	29	29	NUM
cana-4447	303	5	.	.	PUNCT
cana-4447	304	1	right_ankle	right_ankle	NOUN
cana-4447	304	2	.	.	PUNCT
cana-4447	305	1	the	the	DET
cana-4447	305	2	movements	movement	NOUN
cana-4447	305	3	of	of	ADP
cana-4447	305	4	a	a	DET
cana-4447	305	5	person	person	NOUN
cana-4447	305	6	's	's	PART
cana-4447	305	7	hands	hand	NOUN
cana-4447	305	8	and	and	CCONJ
cana-4447	305	9	legs	leg	NOUN
cana-4447	305	10	are	be	AUX
cana-4447	305	11	used	use	VERB
cana-4447	305	12	to	to	PART
cana-4447	305	13	identify	identify	VERB
cana-4447	305	14	human	human	ADJ
cana-4447	305	15	activity	activity	NOUN
cana-4447	305	16	.	.	PUNCT
cana-4447	306	1	figure	figure	NOUN
cana-4447	306	2	12	12	NUM
cana-4447	306	3	illustrates	illustrate	VERB
cana-4447	306	4	how	how	SCONJ
cana-4447	306	5	we	we	PRON
cana-4447	306	6	can	can	AUX
cana-4447	306	7	calculate	calculate	VERB
cana-4447	306	8	the	the	DET
cana-4447	306	9	pairwise	pairwise	NOUN
cana-4447	306	10	distance	distance	NOUN
cana-4447	306	11	or	or	CCONJ
cana-4447	306	12	angle	angle	NOUN
cana-4447	306	13	between	between	ADP
cana-4447	306	14	two	two	NUM
cana-4447	306	15	landmarks	landmark	NOUN
cana-4447	306	16	.	.	PUNCT
cana-4447	307	1	to	to	PART
cana-4447	307	2	quantify	quantify	VERB
cana-4447	307	3	hand	hand	NOUN
cana-4447	307	4	and	and	CCONJ
cana-4447	307	5	leg	leg	NOUN
cana-4447	307	6	movements	movement	NOUN
cana-4447	307	7	,	,	PUNCT
cana-4447	307	8	pairwise	pairwise	NOUN
cana-4447	307	9	distance	distance	NOUN
cana-4447	307	10	values	value	NOUN
cana-4447	307	11	are	be	AUX
cana-4447	307	12	employed	employ	VERB
cana-4447	307	13	.	.	PUNCT
cana-4447	308	1	table	table	NOUN
cana-4447	308	2	2	2	NUM
cana-4447	308	3	presents	present	NOUN
cana-4447	308	4	10	10	NUM
cana-4447	308	5	different	different	ADJ
cana-4447	308	6	combinations	combination	NOUN
cana-4447	308	7	of	of	ADP
cana-4447	308	8	pairs	pair	NOUN
cana-4447	308	9	of	of	ADP
cana-4447	308	10	landmarks	landmark	NOUN
cana-4447	308	11	that	that	PRON
cana-4447	308	12	are	be	AUX
cana-4447	308	13	used	use	VERB
cana-4447	308	14	to	to	PART
cana-4447	308	15	recognize	recognize	VERB
cana-4447	308	16	human	human	ADJ
cana-4447	308	17	activity	activity	NOUN
cana-4447	308	18	.	.	PUNCT
cana-4447	309	1	pairwise	pairwise	NOUN
cana-4447	309	2	distances	distance	NOUN
cana-4447	309	3	between	between	ADP
cana-4447	309	4	landmarks	landmark	NOUN
cana-4447	309	5	are	be	AUX
cana-4447	309	6	calculated	calculate	VERB
cana-4447	309	7	using	use	VERB
cana-4447	309	8	the	the	DET
cana-4447	309	9	euclidean	euclidean	ADJ
cana-4447	309	10	distance	distance	NOUN
cana-4447	309	11	(	(	PUNCT
cana-4447	309	12	d	d	NOUN
cana-4447	309	13	)	)	PUNCT
cana-4447	309	14	metric	metric	NOUN
cana-4447	309	15	.	.	PUNCT
cana-4447	310	1	𝑑	𝑑	PROPN
cana-4447	310	2	=	=	X
cana-4447	310	3	√(𝑥2	√(𝑥2	PROPN
cana-4447	310	4	−	−	PROPN
cana-4447	310	5	𝑥1)2	𝑥1)2	NUM
cana-4447	310	6	+	+	CCONJ
cana-4447	310	7	(	(	PUNCT
cana-4447	310	8	𝑦2	𝑦2	PROPN
cana-4447	310	9	−	−	PROPN
cana-4447	310	10	𝑦1)2	𝑦1)2	NUM
cana-4447	310	11	(	(	PUNCT
cana-4447	310	12	19	19	NUM
cana-4447	310	13	)	)	PUNCT
cana-4447	310	14	euclidean	euclidean	ADJ
cana-4447	310	15	distance	distance	NOUN
cana-4447	310	16	between	between	ADP
cana-4447	310	17	pairs	pair	NOUN
cana-4447	310	18	of	of	ADP
cana-4447	310	19	landmarks	landmark	NOUN
cana-4447	310	20	of	of	ADP
cana-4447	310	21	training	training	NOUN
cana-4447	310	22	data	datum	NOUN
cana-4447	310	23	and	and	CCONJ
cana-4447	310	24	test	test	NOUN
cana-4447	310	25	data	datum	NOUN
cana-4447	310	26	(	(	PUNCT
cana-4447	310	27	templates	template	NOUN
cana-4447	310	28	)	)	PUNCT
cana-4447	310	29	are	be	AUX
cana-4447	310	30	calculated	calculate	VERB
cana-4447	310	31	using	use	VERB
cana-4447	310	32	eq	eq	ADP
cana-4447	310	33	.	.	PUNCT
cana-4447	311	1	(	(	PUNCT
cana-4447	311	2	19	19	NUM
cana-4447	311	3	)	)	PUNCT
cana-4447	311	4	.	.	PUNCT
cana-4447	312	1	the	the	DET
cana-4447	312	2	calculated	calculate	VERB
cana-4447	312	3	results	result	NOUN
cana-4447	312	4	are	be	AUX
cana-4447	312	5	presented	present	VERB
cana-4447	312	6	in	in	ADP
cana-4447	312	7	table	table	NOUN
cana-4447	312	8	3	3	NUM
cana-4447	312	9	.	.	PUNCT
cana-4447	313	1	in	in	ADP
cana-4447	313	2	addition	addition	NOUN
cana-4447	313	3	,	,	PUNCT
cana-4447	313	4	the	the	DET
cana-4447	313	5	euclidean	euclidean	ADJ
cana-4447	313	6	distance	distance	NOUN
cana-4447	313	7	communications	communication	NOUN
cana-4447	313	8	on	on	ADP
cana-4447	313	9	applied	apply	VERB
cana-4447	313	10	nonlinear	nonlinear	ADJ
cana-4447	313	11	analysis	analysis	NOUN
cana-4447	313	12	issn	issn	NOUN
cana-4447	313	13	:	:	PUNCT
cana-4447	313	14	1074	1074	NUM
cana-4447	313	15	-	-	PUNCT
cana-4447	313	16	133x	133x	NUM
cana-4447	313	17	vol	vol	NOUN
cana-4447	313	18	32	32	NUM
cana-4447	313	19	no	no	NOUN
cana-4447	313	20	.	.	PUNCT
cana-4447	314	1	9s	9s	NUM
cana-4447	314	2	(	(	PUNCT
cana-4447	314	3	2025	2025	NUM
cana-4447	314	4	)	)	PUNCT
cana-4447	314	5	2066	2066	NUM
cana-4447	314	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-4447	314	7	between	between	ADP
cana-4447	314	8	pairs	pair	NOUN
cana-4447	314	9	of	of	ADP
cana-4447	314	10	landmarks	landmark	NOUN
cana-4447	314	11	of	of	ADP
cana-4447	314	12	the	the	DET
cana-4447	314	13	test	test	NOUN
cana-4447	314	14	data	datum	NOUN
cana-4447	314	15	(	(	PUNCT
cana-4447	314	16	templates	template	NOUN
cana-4447	314	17	)	)	PUNCT
cana-4447	314	18	was	be	AUX
cana-4447	314	19	calculated	calculate	VERB
cana-4447	314	20	using	use	VERB
cana-4447	314	21	eq	eq	ADP
cana-4447	314	22	.	.	PUNCT
cana-4447	315	1	(	(	PUNCT
cana-4447	315	2	19	19	NUM
cana-4447	315	3	)	)	PUNCT
cana-4447	315	4	.	.	PUNCT
cana-4447	316	1	the	the	DET
cana-4447	316	2	calculated	calculated	ADJ
cana-4447	316	3	values	value	NOUN
cana-4447	316	4	are	be	AUX
cana-4447	316	5	presented	present	VERB
cana-4447	316	6	in	in	ADP
cana-4447	316	7	table	table	NOUN
cana-4447	316	8	4	4	NUM
cana-4447	316	9	.	.	PUNCT
cana-4447	317	1	figure	figure	NOUN
cana-4447	317	2	12	12	NUM
cana-4447	317	3	.	.	PUNCT
cana-4447	318	1	principal	principal	NOUN
cana-4447	318	2	pairwise	pairwise	PROPN
cana-4447	318	3	distances	distance	NOUN
cana-4447	318	4	are	be	AUX
cana-4447	318	5	used	use	VERB
cana-4447	318	6	in	in	ADP
cana-4447	318	7	the	the	DET
cana-4447	318	8	feature	feature	NOUN
cana-4447	318	9	vector	vector	NOUN
cana-4447	318	10	representing	represent	VERB
cana-4447	318	11	the	the	DET
cana-4447	318	12	position	position	NOUN
cana-4447	318	13	table	table	NOUN
cana-4447	318	14	2	2	NUM
cana-4447	318	15	.	.	NOUN
cana-4447	318	16	10	10	NUM
cana-4447	318	17	different	different	ADJ
cana-4447	318	18	combinations	combination	NOUN
cana-4447	318	19	of	of	ADP
cana-4447	318	20	pairs	pair	NOUN
cana-4447	318	21	of	of	ADP
cana-4447	318	22	landmarks	landmark	NOUN
cana-4447	318	23	(	(	PUNCT
cana-4447	318	24	d1	d1	PROPN
cana-4447	318	25	to	to	ADP
cana-4447	318	26	d10	d10	PROPN
cana-4447	318	27	)	)	PUNCT
cana-4447	318	28	sno	sno	NOUN
cana-4447	318	29	pairs	pair	NOUN
cana-4447	318	30	of	of	ADP
cana-4447	318	31	landmarks	landmark	NOUN
cana-4447	318	32	name	name	NOUN
cana-4447	318	33	of	of	ADP
cana-4447	318	34	the	the	DET
cana-4447	318	35	distances	distance	NOUN
cana-4447	318	36	1	1	NUM
cana-4447	318	37	(	(	PUNCT
cana-4447	318	38	left_wrist	left_wrist	PROPN
cana-4447	318	39	,	,	PUNCT
cana-4447	318	40	right_wrist	right_wrist	NOUN
cana-4447	318	41	)	)	PUNCT
cana-4447	318	42	d1=	d1=	PROPN
cana-4447	318	43	eucdist	eucdist	NOUN
cana-4447	318	44	(	(	PUNCT
cana-4447	318	45	left_wrist	left_wrist	PROPN
cana-4447	318	46	,	,	PUNCT
cana-4447	318	47	right_wrist	right_wrist	NOUN
cana-4447	318	48	)	)	PUNCT
cana-4447	318	49	2	2	NUM
cana-4447	318	50	(	(	PUNCT
cana-4447	318	51	left_hip	left_hip	NOUN
cana-4447	318	52	,	,	PUNCT
cana-4447	318	53	left_wrist	left_wrist	NOUN
cana-4447	318	54	)	)	PUNCT
cana-4447	318	55	d2=	d2=	NOUN
cana-4447	318	56	eucdist	eucdist	NOUN
cana-4447	318	57	(	(	PUNCT
cana-4447	318	58	left_hip	left_hip	NOUN
cana-4447	318	59	,	,	PUNCT
cana-4447	318	60	left_wrist	left_wrist	NOUN
cana-4447	318	61	)	)	PUNCT
cana-4447	318	62	3	3	NUM
cana-4447	318	63	(	(	PUNCT
cana-4447	318	64	right_hip	right_hip	NOUN
cana-4447	318	65	,	,	PUNCT
cana-4447	318	66	right_wrist	right_wrist	NOUN
cana-4447	318	67	)	)	PUNCT
cana-4447	318	68	d3=	d3=	NOUN
cana-4447	318	69	eucdist	eucdist	NOUN
cana-4447	318	70	(	(	PUNCT
cana-4447	318	71	right_hip	right_hip	NOUN
cana-4447	318	72	,	,	PUNCT
cana-4447	318	73	right_wrist	right_wrist	NOUN
cana-4447	318	74	)	)	PUNCT
cana-4447	318	75	4	4	NUM
cana-4447	318	76	(	(	PUNCT
cana-4447	318	77	left_hip	left_hip	NOUN
cana-4447	318	78	,	,	PUNCT
cana-4447	318	79	right_wrist	right_wrist	NOUN
cana-4447	318	80	)	)	PUNCT
cana-4447	318	81	d4=	d4=	PROPN
cana-4447	318	82	eucdist	eucdist	NOUN
cana-4447	318	83	(	(	PUNCT
cana-4447	318	84	left_hip	left_hip	NOUN
cana-4447	318	85	,	,	PUNCT
cana-4447	318	86	right_wrist	right_wrist	NOUN
cana-4447	318	87	)	)	PUNCT
cana-4447	318	88	5	5	NUM
cana-4447	318	89	(	(	PUNCT
cana-4447	318	90	right_hip	right_hip	NOUN
cana-4447	318	91	,	,	PUNCT
cana-4447	318	92	left_wrist	left_wrist	ADJ
cana-4447	318	93	)	)	PUNCT
cana-4447	318	94	d5=	d5=	NOUN
cana-4447	318	95	eucdist	eucdist	NOUN
cana-4447	318	96	(	(	PUNCT
cana-4447	318	97	right_hip	right_hip	NOUN
cana-4447	318	98	,	,	PUNCT
cana-4447	318	99	left_wrist	left_wrist	ADJ
cana-4447	318	100	)	)	PUNCT
cana-4447	318	101	6	6	NUM
cana-4447	318	102	(	(	PUNCT
cana-4447	318	103	left_ankle	left_ankle	PROPN
cana-4447	318	104	,	,	PUNCT
cana-4447	318	105	right_ankle	right_ankle	NOUN
cana-4447	318	106	)	)	PUNCT
cana-4447	318	107	d6=	d6=	NOUN
cana-4447	318	108	eucdist	eucdist	NOUN
cana-4447	318	109	(	(	PUNCT
cana-4447	318	110	left_ankle	left_ankle	PROPN
cana-4447	318	111	,	,	PUNCT
cana-4447	318	112	right_ankle	right_ankle	NOUN
cana-4447	318	113	)	)	PUNCT
cana-4447	318	114	7	7	NUM
cana-4447	318	115	(	(	PUNCT
cana-4447	318	116	left_ankle	left_ankle	ADV
cana-4447	318	117	,	,	PUNCT
cana-4447	318	118	left_wrist	left_wrist	NOUN
cana-4447	318	119	)	)	PUNCT
cana-4447	318	120	d7=	d7=	NOUN
cana-4447	318	121	eucdist	eucdist	NOUN
cana-4447	318	122	(	(	PUNCT
cana-4447	318	123	left_ankle	left_ankle	NOUN
cana-4447	318	124	,	,	PUNCT
cana-4447	318	125	left_wrist	left_wrist	NOUN
cana-4447	318	126	)	)	PUNCT
cana-4447	318	127	8	8	NUM
cana-4447	318	128	(	(	PUNCT
cana-4447	318	129	right_ankle	right_ankle	NOUN
cana-4447	318	130	,	,	PUNCT
cana-4447	318	131	right_wrist	right_wrist	NOUN
cana-4447	318	132	)	)	PUNCT
cana-4447	318	133	d8=	d8=	NOUN
cana-4447	318	134	eucdist	eucdist	NOUN
cana-4447	318	135	(	(	PUNCT
cana-4447	318	136	right_ankle	right_ankle	NOUN
cana-4447	318	137	,	,	PUNCT
cana-4447	318	138	right_wrist	right_wrist	NOUN
cana-4447	318	139	)	)	PUNCT
cana-4447	318	140	9	9	NUM
cana-4447	318	141	(	(	PUNCT
cana-4447	318	142	left_ankle	left_ankle	PROPN
cana-4447	318	143	,	,	PUNCT
cana-4447	318	144	right_wrist	right_wrist	NOUN
cana-4447	318	145	)	)	PUNCT
cana-4447	318	146	d9=	d9=	ADJ
cana-4447	318	147	eucdist	eucdist	NOUN
cana-4447	318	148	(	(	PUNCT
cana-4447	318	149	left_ankle	left_ankle	PROPN
cana-4447	318	150	,	,	PUNCT
cana-4447	318	151	right_wrist	right_wrist	NOUN
cana-4447	318	152	)	)	PUNCT
cana-4447	318	153	10	10	NUM
cana-4447	318	154	(	(	PUNCT
cana-4447	318	155	right_ankle	right_ankle	NOUN
cana-4447	318	156	,	,	PUNCT
cana-4447	318	157	left_wrist	left_wrist	NOUN
cana-4447	318	158	)	)	PUNCT
cana-4447	318	159	d10=	d10=	NOUN
cana-4447	318	160	eucdist	eucdist	NOUN
cana-4447	318	161	(	(	PUNCT
cana-4447	318	162	right_ankle	right_ankle	NOUN
cana-4447	318	163	,	,	PUNCT
cana-4447	318	164	left_wrist	left_wrist	ADJ
cana-4447	318	165	)	)	PUNCT
cana-4447	318	166	table	table	NOUN
cana-4447	319	1	3	3	NUM
cana-4447	319	2	.	.	X
cana-4447	319	3	d1	d1	PROPN
cana-4447	319	4	to	to	ADP
cana-4447	319	5	d10	d10	PROPN
cana-4447	319	6	euclidean	euclidean	ADJ
cana-4447	319	7	distances	distance	NOUN
cana-4447	319	8	between	between	ADP
cana-4447	319	9	pairs	pair	NOUN
cana-4447	319	10	of	of	ADP
cana-4447	319	11	landmarks	landmark	NOUN
cana-4447	319	12	of	of	ADP
cana-4447	319	13	train	train	NOUN
cana-4447	319	14	data	data	NOUN
cana-4447	319	15	vectors	vector	NOUN
cana-4447	319	16	(	(	PUNCT
cana-4447	319	17	video	video	NOUN
cana-4447	319	18	frames	frame	NOUN
cana-4447	319	19	)	)	PUNCT
cana-4447	319	20	sn	sn	NOUN
cana-4447	319	21	o	o	NOUN
cana-4447	319	22	name	name	NOUN
cana-4447	319	23	of	of	ADP
cana-4447	319	24	the	the	DET
cana-4447	319	25	postures	posture	NOUN
cana-4447	319	26	(	(	PUNCT
cana-4447	319	27	train	train	NOUN
cana-4447	319	28	data	datum	NOUN
cana-4447	319	29	)	)	PUNCT
cana-4447	319	30	d1(m	d1(m	NOUN
cana-4447	319	31	)	)	PUNCT
cana-4447	319	32	d2(m	d2(m	NOUN
cana-4447	319	33	)	)	PUNCT
cana-4447	319	34	d3(m	d3(m	PROPN
cana-4447	319	35	)	)	PUNCT
cana-4447	319	36	d4(m	d4(m	PROPN
cana-4447	319	37	)	)	PUNCT
cana-4447	319	38	d5(m	d5(m	PROPN
cana-4447	319	39	)	)	PUNCT
cana-4447	319	40	d6(m	d6(m	NOUN
cana-4447	319	41	)	)	PUNCT
cana-4447	319	42	d7(m	d7(m	NOUN
cana-4447	319	43	)	)	PUNCT
cana-4447	319	44	d8(m	d8(m	PROPN
cana-4447	319	45	)	)	PUNCT
cana-4447	319	46	d9(m	d9(m	PROPN
cana-4447	319	47	)	)	PUNCT
cana-4447	319	48	d10(m	d10(m	NOUN
cana-4447	319	49	)	)	PUNCT
cana-4447	319	50	1	1	NUM
cana-4447	319	51	posture	posture	NOUN
cana-4447	319	52	p1	p1	NOUN
cana-4447	319	53	0.0196	0.0196	NUM
cana-4447	319	54	0.0744	0.0744	NUM
cana-4447	319	55	0.1019	0.1019	NUM
cana-4447	319	56	0.0643	0.0643	NUM
cana-4447	319	57	0.1161	0.1161	NUM
cana-4447	319	58	0.1740	0.1740	NUM
cana-4447	319	59	0.3020	0.3020	NUM
cana-4447	319	60	0.3906	0.3906	NUM
cana-4447	319	61	0.3052	0.3052	NUM
cana-4447	319	62	0.3906	0.3906	NUM
cana-4447	319	63	2	2	NUM
cana-4447	319	64	posture	posture	NOUN
cana-4447	319	65	p2	p2	VERB
cana-4447	319	66	0.1213	0.1213	NUM
cana-4447	320	1	0.1262	0.1262	NUM
cana-4447	320	2	0.1008	0.1008	NUM
cana-4447	320	3	0.1329	0.1329	NUM
cana-4447	320	4	0.1448	0.1448	NUM
cana-4447	320	5	0.0736	0.0736	NUM
cana-4447	320	6	0.3585	0.3585	NUM
cana-4447	320	7	0.3706	0.3706	NUM
cana-4447	320	8	0.3622	0.3622	NUM
cana-4447	320	9	0.3706	0.3706	NUM
cana-4447	320	10	3	3	NUM
cana-4447	320	11	posture	posture	NOUN
cana-4447	320	12	p3	p3	NOUN
cana-4447	320	13	0.0001	0.0001	NUM
cana-4447	320	14	0.0427	0.0427	NUM
cana-4447	320	15	0.0204	0.0204	NUM
cana-4447	320	16	0.0427	0.0427	NUM
cana-4447	320	17	0.0203	0.0203	NUM
cana-4447	320	18	0.1162	0.1162	NUM
cana-4447	320	19	0.1214	0.1214	NUM
cana-4447	320	20	0.1288	0.1288	NUM
cana-4447	320	21	0.1212	0.1212	NUM
cana-4447	320	22	0.1288	0.1288	NUM
cana-4447	320	23	4	4	NUM
cana-4447	320	24	posture	posture	NOUN
cana-4447	320	25	p4	p4	ADJ
cana-4447	320	26	0.0001	0.0001	NUM
cana-4447	320	27	0.1996	0.1996	NUM
cana-4447	320	28	0.1743	0.1743	NUM
cana-4447	320	29	0.1995	0.1995	NUM
cana-4447	320	30	0.1744	0.1744	NUM
cana-4447	320	31	0.1610	0.1610	NUM
cana-4447	320	32	0.4570	0.4570	NUM
cana-4447	320	33	0.3999	0.3999	NUM
cana-4447	320	34	0.4570	0.4570	NUM
cana-4447	320	35	0.3999	0.3999	NUM
cana-4447	320	36	5	5	NUM
cana-4447	320	37	posture	posture	NOUN
cana-4447	320	38	p5	p5	ADJ
cana-4447	320	39	0.1546	0.1546	NUM
cana-4447	320	40	0.1170	0.1170	NUM
cana-4447	320	41	0.1750	0.1750	NUM
cana-4447	320	42	0.2298	0.2298	NUM
cana-4447	320	43	0.1147	0.1147	NUM
cana-4447	320	44	0.2296	0.2296	NUM
cana-4447	320	45	0.4175	0.4175	NUM
cana-4447	320	46	0.4379	0.4379	NUM
cana-4447	320	47	0.4280	0.4280	NUM
cana-4447	320	48	0.4379	0.4379	NUM
cana-4447	320	49	6	6	NUM
cana-4447	320	50	posture	posture	NOUN
cana-4447	320	51	p6	p6	NOUN
cana-4447	320	52	0.1561	0.1561	NUM
cana-4447	320	53	0.3553	0.3553	NUM
cana-4447	320	54	0.4466	0.4466	NUM
cana-4447	320	55	0.4789	0.4789	NUM
cana-4447	320	56	0.3261	0.3261	NUM
cana-4447	320	57	0.3461	0.3461	NUM
cana-4447	320	58	0.6680	0.6680	NUM
cana-4447	320	59	0.9288	0.9288	NUM
cana-4447	320	60	0.7130	0.7130	NUM
cana-4447	320	61	0.9288	0.9288	NUM
cana-4447	320	62	table	table	NOUN
cana-4447	320	63	4	4	NUM
cana-4447	320	64	.	.	X
cana-4447	320	65	d1	d1	PROPN
cana-4447	320	66	to	to	ADP
cana-4447	320	67	d10	d10	PROPN
cana-4447	320	68	euclidean	euclidean	ADJ
cana-4447	320	69	distances	distance	NOUN
cana-4447	320	70	between	between	ADP
cana-4447	320	71	pairs	pair	NOUN
cana-4447	320	72	of	of	ADP
cana-4447	320	73	landmarks	landmark	NOUN
cana-4447	320	74	of	of	ADP
cana-4447	320	75	test	test	NOUN
cana-4447	320	76	data	datum	NOUN
cana-4447	320	77	vectors	vector	NOUN
cana-4447	320	78	(	(	PUNCT
cana-4447	320	79	templates	template	NOUN
cana-4447	320	80	)	)	PUNCT
cana-4447	320	81	sn	sn	NOUN
cana-4447	321	1	o	o	NOUN
cana-4447	321	2	name	name	NOUN
cana-4447	321	3	of	of	ADP
cana-4447	321	4	the	the	DET
cana-4447	321	5	postures	posture	NOUN
cana-4447	321	6	(	(	PUNCT
cana-4447	321	7	train	train	NOUN
cana-4447	321	8	data	datum	NOUN
cana-4447	321	9	)	)	PUNCT
cana-4447	321	10	d1(m	d1(m	NOUN
cana-4447	321	11	)	)	PUNCT
cana-4447	321	12	d2(m	d2(m	NOUN
cana-4447	321	13	)	)	PUNCT
cana-4447	321	14	d3(m	d3(m	PROPN
cana-4447	321	15	)	)	PUNCT
cana-4447	321	16	d4(m	d4(m	PROPN
cana-4447	321	17	)	)	PUNCT
cana-4447	321	18	d5(m	d5(m	PROPN
cana-4447	321	19	)	)	PUNCT
cana-4447	321	20	d6(m	d6(m	NOUN
cana-4447	321	21	)	)	PUNCT
cana-4447	321	22	d7(m	d7(m	NOUN
cana-4447	321	23	)	)	PUNCT
cana-4447	321	24	d8(m	d8(m	PROPN
cana-4447	321	25	)	)	PUNCT
cana-4447	321	26	d9(m	d9(m	PROPN
cana-4447	321	27	)	)	PUNCT
cana-4447	321	28	d10(m	d10(m	NOUN
cana-4447	321	29	)	)	PUNCT
cana-4447	321	30	communications	communication	NOUN
cana-4447	321	31	on	on	ADP
cana-4447	321	32	applied	apply	VERB
cana-4447	321	33	nonlinear	nonlinear	ADJ
cana-4447	321	34	analysis	analysis	NOUN
cana-4447	321	35	issn	issn	NOUN
cana-4447	321	36	:	:	PUNCT
cana-4447	321	37	1074	1074	NUM
cana-4447	321	38	-	-	PUNCT
cana-4447	321	39	133x	133x	NUM
cana-4447	321	40	vol	vol	NOUN
cana-4447	321	41	32	32	NUM
cana-4447	321	42	no	no	NOUN
cana-4447	321	43	.	.	PUNCT
cana-4447	322	1	9s	9s	NUM
cana-4447	322	2	(	(	PUNCT
cana-4447	322	3	2025	2025	NUM
cana-4447	322	4	)	)	PUNCT
cana-4447	322	5	2067	2067	NUM
cana-4447	322	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-4447	322	7	1	1	NUM
cana-4447	322	8	shooting	shooting	NOUN
cana-4447	322	9	activity	activity	NOUN
cana-4447	322	10	template	template	NOUN
cana-4447	322	11	posture	posture	NOUN
cana-4447	322	12	0.0146	0.0146	NUM
cana-4447	322	13	0.3189	0.3189	NUM
cana-4447	323	1	0.3284	0.3284	NUM
cana-4447	323	2	0.3200	0.3200	NUM
cana-4447	323	3	0.3292	0.3292	NUM
cana-4447	323	4	0.1252	0.1252	NUM
cana-4447	323	5	0.4611	0.4611	NUM
cana-4447	323	6	0.5514	0.5514	NUM
cana-4447	323	7	0.4631	0.4631	NUM
cana-4447	323	8	0.5514	0.5514	NUM
cana-4447	323	9	2	2	NUM
cana-4447	323	10	fighting	fighting	NOUN
cana-4447	323	11	activity	activity	NOUN
cana-4447	323	12	template	template	NOUN
cana-4447	323	13	posture	posture	NOUN
cana-4447	324	1	0.0415	0.0415	NUM
cana-4447	324	2	0.2550	0.2550	NUM
cana-4447	325	1	0.2895	0.2895	NUM
cana-4447	325	2	0.2701	0.2701	NUM
cana-4447	325	3	0.2650	0.2650	NUM
cana-4447	325	4	0.0933	0.0933	NUM
cana-4447	325	5	0.5645	0.5645	NUM
cana-4447	325	6	0.5436	0.5436	NUM
cana-4447	325	7	0.5781	0.5781	NUM
cana-4447	325	8	0.5436	0.5436	NUM
cana-4447	325	9	3	3	NUM
cana-4447	325	10	kicking	kicking	NOUN
cana-4447	325	11	activity	activity	NOUN
cana-4447	325	12	template	template	NOUN
cana-4447	325	13	posture	posture	NOUN
cana-4447	325	14	0.0768	0.0768	NUM
cana-4447	325	15	0.1983	0.1983	NUM
cana-4447	325	16	0.2906	0.2906	NUM
cana-4447	325	17	0.2342	0.2342	NUM
cana-4447	325	18	0.2370	0.2370	NUM
cana-4447	326	1	0.2781	0.2781	NUM
cana-4447	326	2	0.3687	0.3687	NUM
cana-4447	326	3	0.5877	0.5877	NUM
cana-4447	326	4	0.3656	0.3656	NUM
cana-4447	326	5	0.5877	0.5877	NUM
cana-4447	326	6	2.3	2.3	NUM
cana-4447	326	7	.	.	PUNCT
cana-4447	327	1	step-3	step-3	NOUN
cana-4447	327	2	:	:	PUNCT
cana-4447	327	3	templates	template	NOUN
cana-4447	327	4	matching	match	VERB
cana-4447	327	5	statistical	statistical	ADJ
cana-4447	327	6	approaches	approach	NOUN
cana-4447	327	7	(	(	PUNCT
cana-4447	327	8	tmsa	tmsa	NOUN
cana-4447	327	9	)	)	PUNCT
cana-4447	327	10	based	base	VERB
cana-4447	327	11	classification	classification	NOUN
cana-4447	327	12	template	template	NOUN
cana-4447	327	13	matching	matching	NOUN
cana-4447	327	14	is	be	AUX
cana-4447	327	15	an	an	DET
cana-4447	327	16	advanced	advanced	ADJ
cana-4447	327	17	machine	machine	NOUN
cana-4447	327	18	vision	vision	NOUN
cana-4447	327	19	technique	technique	NOUN
cana-4447	327	20	utilized	utilize	VERB
cana-4447	327	21	for	for	ADP
cana-4447	327	22	the	the	DET
cana-4447	327	23	identification	identification	NOUN
cana-4447	327	24	of	of	ADP
cana-4447	327	25	segments	segment	NOUN
cana-4447	327	26	within	within	ADP
cana-4447	327	27	an	an	DET
cana-4447	327	28	image	image	NOUN
cana-4447	327	29	that	that	PRON
cana-4447	327	30	exhibit	exhibit	VERB
cana-4447	327	31	similarity	similarity	NOUN
cana-4447	327	32	to	to	ADP
cana-4447	327	33	a	a	DET
cana-4447	327	34	reference	reference	NOUN
cana-4447	327	35	template	template	NOUN
cana-4447	327	36	(	(	PUNCT
cana-4447	327	37	patch	patch	NOUN
cana-4447	327	38	)	)	PUNCT
cana-4447	327	39	.	.	PUNCT
cana-4447	328	1	the	the	DET
cana-4447	328	2	major	major	ADJ
cana-4447	328	3	component	component	NOUN
cana-4447	328	4	is	be	AUX
cana-4447	328	5	the	the	DET
cana-4447	328	6	source	source	NOUN
cana-4447	328	7	image	image	NOUN
cana-4447	328	8	(	(	PUNCT
cana-4447	328	9	i	i	NOUN
cana-4447	328	10	)	)	PUNCT
cana-4447	328	11	,	,	PUNCT
cana-4447	328	12	which	which	PRON
cana-4447	328	13	is	be	AUX
cana-4447	328	14	the	the	DET
cana-4447	328	15	image	image	NOUN
cana-4447	328	16	that	that	PRON
cana-4447	328	17	is	be	AUX
cana-4447	328	18	anticipated	anticipate	VERB
cana-4447	328	19	to	to	PART
cana-4447	328	20	match	match	VERB
cana-4447	328	21	with	with	ADP
cana-4447	328	22	the	the	DET
cana-4447	328	23	template	template	NOUN
cana-4447	328	24	image	image	NOUN
cana-4447	328	25	.	.	PUNCT
cana-4447	329	1	the	the	DET
cana-4447	329	2	template	template	NOUN
cana-4447	329	3	picture	picture	NOUN
cana-4447	329	4	(	(	PUNCT
cana-4447	329	5	t	t	NOUN
cana-4447	329	6	)	)	PUNCT
cana-4447	329	7	is	be	AUX
cana-4447	329	8	the	the	DET
cana-4447	329	9	patch	patch	ADJ
cana-4447	329	10	image	image	NOUN
cana-4447	329	11	designated	designate	VERB
cana-4447	329	12	for	for	ADP
cana-4447	329	13	comparison	comparison	NOUN
cana-4447	329	14	with	with	ADP
cana-4447	329	15	the	the	DET
cana-4447	329	16	source	source	NOUN
cana-4447	329	17	image	image	NOUN
cana-4447	329	18	.	.	PUNCT
cana-4447	330	1	this	this	DET
cana-4447	330	2	paper	paper	NOUN
cana-4447	330	3	uses	use	VERB
cana-4447	330	4	three	three	NUM
cana-4447	330	5	types	type	NOUN
cana-4447	330	6	of	of	ADP
cana-4447	330	7	templates	template	NOUN
cana-4447	330	8	matching	match	VERB
cana-4447	330	9	statistical	statistical	ADJ
cana-4447	330	10	approaches	approach	NOUN
cana-4447	330	11	(	(	PUNCT
cana-4447	330	12	tmsa	tmsa	NOUN
cana-4447	330	13	)	)	PUNCT
cana-4447	330	14	to	to	PART
cana-4447	330	15	find	find	VERB
cana-4447	330	16	the	the	DET
cana-4447	330	17	similarity	similarity	NOUN
cana-4447	330	18	between	between	ADP
cana-4447	330	19	train	train	NOUN
cana-4447	330	20	data	data	NOUN
cana-4447	330	21	vectors	vector	NOUN
cana-4447	330	22	(	(	PUNCT
cana-4447	330	23	p1	p1	NOUN
cana-4447	330	24	to	to	PART
cana-4447	330	25	p6	p6	PROPN
cana-4447	330	26	postures	posture	NOUN
cana-4447	330	27	)	)	PUNCT
cana-4447	330	28	and	and	CCONJ
cana-4447	330	29	test	test	NOUN
cana-4447	330	30	data	datum	NOUN
cana-4447	330	31	(	(	PUNCT
cana-4447	330	32	template	template	NOUN
cana-4447	330	33	)	)	PUNCT
cana-4447	330	34	vectors	vector	NOUN
cana-4447	330	35	of	of	ADP
cana-4447	330	36	shooting	shooting	NOUN
cana-4447	330	37	,	,	PUNCT
cana-4447	330	38	fighting	fighting	NOUN
cana-4447	330	39	,	,	PUNCT
cana-4447	330	40	and	and	CCONJ
cana-4447	330	41	kicking	kicking	NOUN
cana-4447	330	42	activities	activity	NOUN
cana-4447	330	43	.	.	PUNCT
cana-4447	331	1	to	to	PART
cana-4447	331	2	predict	predict	VERB
cana-4447	331	3	human	human	ADJ
cana-4447	331	4	crime	crime	NOUN
cana-4447	331	5	activity	activity	NOUN
cana-4447	331	6	,	,	PUNCT
cana-4447	331	7	cross	cross	NOUN
cana-4447	331	8	correlation	correlation	NOUN
cana-4447	331	9	(	(	PUNCT
cana-4447	331	10	cc	cc	NOUN
cana-4447	331	11	)	)	PUNCT
cana-4447	331	12	,	,	PUNCT
cana-4447	331	13	normalized	normalize	VERB
cana-4447	331	14	cross	cross	NOUN
cana-4447	331	15	correlation	correlation	NOUN
cana-4447	331	16	(	(	PUNCT
cana-4447	331	17	ncc	ncc	NOUN
cana-4447	331	18	)	)	PUNCT
cana-4447	331	19	,	,	PUNCT
cana-4447	331	20	and	and	CCONJ
cana-4447	331	21	sum	sum	NOUN
cana-4447	331	22	of	of	ADP
cana-4447	331	23	absolute	absolute	ADJ
cana-4447	331	24	difference	difference	NOUN
cana-4447	331	25	(	(	PUNCT
cana-4447	331	26	sad	sad	ADJ
cana-4447	331	27	)	)	PUNCT
cana-4447	331	28	are	be	AUX
cana-4447	331	29	used	use	VERB
cana-4447	331	30	.	.	PUNCT
cana-4447	332	1	2.3.1	2.3.1	X
cana-4447	332	2	.	.	PUNCT
cana-4447	332	3	cross	cross	NOUN
cana-4447	332	4	correlation	correlation	NOUN
cana-4447	332	5	(	(	PUNCT
cana-4447	332	6	cc	cc	NOUN
cana-4447	332	7	)	)	PUNCT
cana-4447	332	8	cross	cross	ADJ
cana-4447	332	9	-	-	NOUN
cana-4447	332	10	correlation	correlation	NOUN
cana-4447	332	11	evaluates	evaluate	VERB
cana-4447	332	12	the	the	DET
cana-4447	332	13	similarity	similarity	NOUN
cana-4447	332	14	between	between	ADP
cana-4447	332	15	two	two	NUM
cana-4447	332	16	sequences	sequence	NOUN
cana-4447	332	17	based	base	VERB
cana-4447	332	18	on	on	ADP
cana-4447	332	19	their	their	PRON
cana-4447	332	20	relative	relative	ADJ
cana-4447	332	21	displacement	displacement	NOUN
cana-4447	332	22	using	use	VERB
cana-4447	332	23	eq	eq	X
cana-4447	332	24	.	.	PUNCT
cana-4447	333	1	(	(	PUNCT
cana-4447	333	2	20	20	NUM
cana-4447	333	3	)	)	PUNCT
cana-4447	333	4	.	.	PUNCT
cana-4447	334	1	𝑅𝑥𝑦	𝑅𝑥𝑦	ADV
cana-4447	334	2	=	=	PUNCT
cana-4447	334	3	∑	∑	PUNCT
cana-4447	334	4	(	(	PUNCT
cana-4447	334	5	𝑥𝑖	𝑥𝑖	ADP
cana-4447	334	6	𝑛	𝑛	PRON
cana-4447	334	7	𝑖=1	𝑖=1	PROPN
cana-4447	334	8	−	−	NUM
cana-4447	334	9	�	�	NOUN
cana-4447	334	10	̅	̅	NOUN
cana-4447	334	11	�	�	PROPN
cana-4447	334	12	)	)	PUNCT
cana-4447	334	13	(	(	PUNCT
cana-4447	334	14	𝑦𝑖−	𝑦𝑖−	NUM
cana-4447	334	15	�	�	PROPN
cana-4447	334	16	̅	̅	NOUN
cana-4447	334	17	�	�	NOUN
cana-4447	334	18	)	)	PUNCT
cana-4447	334	19	√∑	√∑	PUNCT
cana-4447	334	20	(	(	PUNCT
cana-4447	334	21	𝑥𝑖	𝑥𝑖	ADP
cana-4447	334	22	𝑛	𝑛	PRON
cana-4447	334	23	𝑖=1	𝑖=1	PROPN
cana-4447	334	24	−	−	NUM
cana-4447	334	25	�	�	NOUN
cana-4447	334	26	̅	̅	NOUN
cana-4447	334	27	�	�	NOUN
cana-4447	334	28	)	)	PUNCT
cana-4447	334	29	(	(	PUNCT
cana-4447	334	30	𝑦𝑖−	𝑦𝑖−	NUM
cana-4447	334	31	�	�	PROPN
cana-4447	334	32	̅	̅	NOUN
cana-4447	334	33	�	�	PROPN
cana-4447	334	34	)̅̅	)̅̅	NOUN
cana-4447	334	35	̅	̅	NOUN
cana-4447	334	36	(	(	PUNCT
cana-4447	334	37	20	20	NUM
cana-4447	334	38	)	)	PUNCT
cana-4447	334	39	consider	consider	VERB
cana-4447	334	40	the	the	DET
cana-4447	334	41	two	two	NUM
cana-4447	334	42	series	series	NOUN
cana-4447	334	43	x(i	x(i	PROPN
cana-4447	334	44	)	)	PUNCT
cana-4447	334	45	and	and	CCONJ
cana-4447	334	46	y(i	y(i	PROPN
cana-4447	334	47	)	)	PUNCT
cana-4447	334	48	,	,	PUNCT
cana-4447	334	49	with	with	ADP
cana-4447	334	50	i=1	i=1	PROPN
cana-4447	334	51	,	,	PUNCT
cana-4447	334	52	2	2	NUM
cana-4447	334	53	,	,	PUNCT
cana-4447	334	54	...	...	PUNCT
cana-4447	334	55	n.	n.	NOUN
cana-4447	334	56	the	the	DET
cana-4447	334	57	cross	cross	ADJ
cana-4447	334	58	-	-	ADJ
cana-4447	334	59	correlation	correlation	ADJ
cana-4447	334	60	function	function	NOUN
cana-4447	334	61	r.	r.	PROPN
cana-4447	334	62	�	�	PROPN
cana-4447	334	63	̅	̅	NOUN
cana-4447	334	64	�	�	PROPN
cana-4447	334	65	and	and	CCONJ
cana-4447	334	66	�	�	PROPN
cana-4447	334	67	̅	̅	NOUN
cana-4447	334	68	�	�	NOUN
cana-4447	334	69	are	be	AUX
cana-4447	334	70	the	the	DET
cana-4447	334	71	means	mean	NOUN
cana-4447	334	72	of	of	ADP
cana-4447	334	73	the	the	DET
cana-4447	334	74	corresponding	corresponding	ADJ
cana-4447	334	75	series	series	NOUN
cana-4447	334	76	.	.	PUNCT
cana-4447	335	1	the	the	DET
cana-4447	335	2	value	value	NOUN
cana-4447	335	3	ranges	range	VERB
cana-4447	335	4	from	from	ADP
cana-4447	335	5	-1	-1	INTJ
cana-4447	335	6	to	to	ADP
cana-4447	335	7	1	1	NUM
cana-4447	335	8	:	:	PUNCT
cana-4447	335	9	a	a	DET
cana-4447	335	10	value	value	NOUN
cana-4447	335	11	of	of	ADP
cana-4447	335	12	1	1	NUM
cana-4447	335	13	signifies	signifie	NOUN
cana-4447	335	14	that	that	SCONJ
cana-4447	335	15	the	the	DET
cana-4447	335	16	data	data	NOUN
cana-4447	335	17	sets	set	VERB
cana-4447	335	18	completely	completely	ADV
cana-4447	335	19	coincide	coincide	NOUN
cana-4447	335	20	(	(	PUNCT
cana-4447	335	21	similar	similar	ADJ
cana-4447	335	22	to	to	ADP
cana-4447	335	23	perfectly	perfectly	ADV
cana-4447	335	24	aligned	align	VERB
cana-4447	335	25	combs	comb	NOUN
cana-4447	335	26	)	)	PUNCT
cana-4447	335	27	,	,	PUNCT
cana-4447	335	28	0	0	NUM
cana-4447	335	29	indicates	indicate	VERB
cana-4447	335	30	that	that	SCONJ
cana-4447	335	31	there	there	PRON
cana-4447	335	32	is	be	VERB
cana-4447	335	33	no	no	DET
cana-4447	335	34	correlation	correlation	NOUN
cana-4447	335	35	,	,	PUNCT
cana-4447	335	36	and	and	CCONJ
cana-4447	335	37	-1	-1	ADV
cana-4447	335	38	indicates	indicate	VERB
cana-4447	335	39	that	that	SCONJ
cana-4447	335	40	they	they	PRON
cana-4447	335	41	are	be	AUX
cana-4447	335	42	opposed	opposed	ADJ
cana-4447	335	43	.	.	PUNCT
cana-4447	336	1	the	the	DET
cana-4447	336	2	computational	computational	ADJ
cana-4447	336	3	complexity	complexity	NOUN
cana-4447	336	4	of	of	ADP
cana-4447	336	5	calculating	calculate	VERB
cana-4447	336	6	a	a	DET
cana-4447	336	7	cross	cross	ADJ
cana-4447	336	8	-	-	ADJ
cana-4447	336	9	correlation	correlation	ADJ
cana-4447	336	10	function	function	NOUN
cana-4447	336	11	based	base	VERB
cana-4447	336	12	on	on	ADP
cana-4447	336	13	relative	relative	ADJ
cana-4447	336	14	displacement	displacement	NOUN
cana-4447	336	15	between	between	ADP
cana-4447	336	16	two	two	NUM
cana-4447	336	17	signals	signal	NOUN
cana-4447	336	18	is	be	AUX
cana-4447	336	19	typically	typically	ADV
cana-4447	336	20	o(n	o(n	NUM
cana-4447	336	21	)	)	PUNCT
cana-4447	336	22	,	,	PUNCT
cana-4447	336	23	where	where	SCONJ
cana-4447	336	24	n	n	PRON
cana-4447	336	25	is	be	AUX
cana-4447	336	26	the	the	DET
cana-4447	336	27	number	number	NOUN
cana-4447	336	28	of	of	ADP
cana-4447	336	29	data	datum	NOUN
cana-4447	336	30	points	point	NOUN
cana-4447	336	31	.	.	PUNCT
cana-4447	337	1	2.3.2	2.3.2	X
cana-4447	337	2	.	.	NUM
cana-4447	337	3	normalized	normalize	VERB
cana-4447	337	4	cross	cross	NOUN
cana-4447	337	5	correlation	correlation	NOUN
cana-4447	337	6	(	(	PUNCT
cana-4447	337	7	ncc	ncc	NOUN
cana-4447	337	8	)	)	PUNCT
cana-4447	337	9	a	a	DET
cana-4447	337	10	mathematical	mathematical	ADJ
cana-4447	337	11	method	method	NOUN
cana-4447	337	12	for	for	ADP
cana-4447	337	13	calculating	calculate	VERB
cana-4447	337	14	the	the	DET
cana-4447	337	15	linear	linear	ADJ
cana-4447	337	16	relationship	relationship	NOUN
cana-4447	337	17	between	between	ADP
cana-4447	337	18	two	two	NUM
cana-4447	337	19	variables	variable	NOUN
cana-4447	337	20	is	be	AUX
cana-4447	337	21	the	the	DET
cana-4447	337	22	normalized	normalize	VERB
cana-4447	337	23	cross	cross	NOUN
cana-4447	337	24	-	-	NOUN
cana-4447	337	25	correlation	correlation	NOUN
cana-4447	337	26	(	(	PUNCT
cana-4447	337	27	ncc	ncc	NOUN
cana-4447	337	28	)	)	PUNCT
cana-4447	337	29	.	.	PUNCT
cana-4447	338	1	this	this	PRON
cana-4447	338	2	is	be	AUX
cana-4447	338	3	a	a	DET
cana-4447	338	4	specialized	specialized	ADJ
cana-4447	338	5	form	form	NOUN
cana-4447	338	6	of	of	ADP
cana-4447	338	7	cross	cross	NOUN
cana-4447	338	8	-	-	NOUN
cana-4447	338	9	correlation	correlation	NOUN
cana-4447	338	10	that	that	PRON
cana-4447	338	11	is	be	AUX
cana-4447	338	12	normalized	normalize	VERB
cana-4447	338	13	to	to	PART
cana-4447	338	14	achieve	achieve	VERB
cana-4447	338	15	scale	scale	NOUN
cana-4447	338	16	invariance	invariance	NOUN
cana-4447	338	17	,	,	PUNCT
cana-4447	338	18	meaning	mean	VERB
cana-4447	338	19	it	it	PRON
cana-4447	338	20	remains	remain	VERB
cana-4447	338	21	unaffected	unaffected	ADJ
cana-4447	338	22	by	by	ADP
cana-4447	338	23	variations	variation	NOUN
cana-4447	338	24	in	in	ADP
cana-4447	338	25	the	the	DET
cana-4447	338	26	overall	overall	ADJ
cana-4447	338	27	intensity	intensity	NOUN
cana-4447	338	28	of	of	ADP
cana-4447	338	29	the	the	DET
cana-4447	338	30	signals	signal	NOUN
cana-4447	338	31	.	.	PUNCT
cana-4447	339	1	consequently	consequently	ADV
cana-4447	339	2	,	,	PUNCT
cana-4447	339	3	it	it	PRON
cana-4447	339	4	serves	serve	VERB
cana-4447	339	5	as	as	ADP
cana-4447	339	6	a	a	DET
cana-4447	339	7	more	more	ADV
cana-4447	339	8	reliable	reliable	ADJ
cana-4447	339	9	metric	metric	NOUN
cana-4447	339	10	of	of	ADP
cana-4447	339	11	similarity	similarity	NOUN
cana-4447	339	12	;	;	PUNCT
cana-4447	339	13	specifically	specifically	ADV
cana-4447	339	14	,	,	PUNCT
cana-4447	339	15	it	it	PRON
cana-4447	339	16	is	be	AUX
cana-4447	339	17	the	the	DET
cana-4447	339	18	cross	cross	ADJ
cana-4447	339	19	-	-	ADJ
cana-4447	339	20	correlation	correlation	ADJ
cana-4447	339	21	value	value	NOUN
cana-4447	339	22	adjusted	adjust	VERB
cana-4447	339	23	to	to	ADP
cana-4447	339	24	a	a	DET
cana-4447	339	25	range	range	NOUN
cana-4447	339	26	of	of	ADP
cana-4447	339	27	-1	-1	INTJ
cana-4447	339	28	to	to	ADP
cana-4447	339	29	1	1	NUM
cana-4447	339	30	,	,	PUNCT
cana-4447	339	31	where	where	SCONJ
cana-4447	339	32	1	1	NUM
cana-4447	339	33	denotes	denote	NOUN
cana-4447	339	34	perfect	perfect	ADJ
cana-4447	339	35	correlation	correlation	NOUN
cana-4447	339	36	and	and	CCONJ
cana-4447	339	37	-1	-1	ADV
cana-4447	339	38	signifies	signifie	NOUN
cana-4447	339	39	perfect	perfect	ADJ
cana-4447	339	40	anticorrelation	anticorrelation	NOUN
cana-4447	339	41	.	.	PUNCT
cana-4447	340	1	the	the	DET
cana-4447	340	2	computation	computation	NOUN
cana-4447	340	3	is	be	AUX
cana-4447	340	4	exceptionally	exceptionally	ADV
cana-4447	340	5	rapid	rapid	ADJ
cana-4447	340	6	and	and	CCONJ
cana-4447	340	7	efficient	efficient	ADJ
cana-4447	340	8	.	.	PUNCT
cana-4447	341	1	the	the	DET
cana-4447	341	2	most	most	ADV
cana-4447	341	3	basic	basic	ADJ
cana-4447	341	4	representation	representation	NOUN
cana-4447	341	5	of	of	ADP
cana-4447	341	6	normalized	normalize	VERB
cana-4447	341	7	cross	cross	NOUN
cana-4447	341	8	-	-	NOUN
cana-4447	341	9	correlation	correlation	NOUN
cana-4447	341	10	(	(	PUNCT
cana-4447	341	11	ncc	ncc	NOUN
cana-4447	341	12	)	)	PUNCT
cana-4447	341	13	is	be	AUX
cana-4447	341	14	the	the	DET
cana-4447	341	15	cosine	cosine	NOUN
cana-4447	341	16	of	of	ADP
cana-4447	341	17	the	the	DET
cana-4447	341	18	angle	angle	NOUN
cana-4447	341	19	θ	θ	PROPN
cana-4447	341	20	between	between	ADP
cana-4447	341	21	two	two	NUM
cana-4447	341	22	vectors	vector	NOUN
cana-4447	341	23	x	x	PUNCT
cana-4447	341	24	and	and	CCONJ
cana-4447	341	25	y.	y.	PROPN
cana-4447	341	26	consider	consider	VERB
cana-4447	341	27	two	two	NUM
cana-4447	341	28	series	series	NOUN
cana-4447	341	29	x(i	x(i	PROPN
cana-4447	341	30	)	)	PUNCT
cana-4447	341	31	and	and	CCONJ
cana-4447	341	32	y(i	y(i	PROPN
cana-4447	341	33	)	)	PUNCT
cana-4447	341	34	where	where	SCONJ
cana-4447	341	35	i=1,2	i=1,2	ADJ
cana-4447	341	36	...	...	PUNCT
cana-4447	341	37	n.	n.	AUX
cana-4447	341	38	the	the	DET
cana-4447	341	39	distance	distance	NOUN
cana-4447	341	40	function	function	NOUN
cana-4447	341	41	𝑁𝐶𝐶𝑅𝑥𝑦	𝑁𝐶𝐶𝑅𝑥𝑦	PROPN
cana-4447	341	42	determines	determine	VERB
cana-4447	341	43	how	how	SCONJ
cana-4447	341	44	near	near	ADP
cana-4447	341	45	two	two	NUM
cana-4447	341	46	coordinates	coordinate	NOUN
cana-4447	341	47	are	be	AUX
cana-4447	341	48	using	use	VERB
cana-4447	341	49	eq	eq	ADP
cana-4447	341	50	.	.	PUNCT
cana-4447	342	1	(	(	PUNCT
cana-4447	342	2	21	21	NUM
cana-4447	342	3	)	)	PUNCT
cana-4447	342	4	.	.	PUNCT
cana-4447	343	1	communications	communication	NOUN
cana-4447	343	2	on	on	ADP
cana-4447	343	3	applied	apply	VERB
cana-4447	343	4	nonlinear	nonlinear	ADJ
cana-4447	343	5	analysis	analysis	NOUN
cana-4447	343	6	issn	issn	NOUN
cana-4447	343	7	:	:	PUNCT
cana-4447	343	8	1074	1074	NUM
cana-4447	343	9	-	-	PUNCT
cana-4447	343	10	133x	133x	NUM
cana-4447	343	11	vol	vol	NOUN
cana-4447	343	12	32	32	NUM
cana-4447	343	13	no	no	NOUN
cana-4447	343	14	.	.	PUNCT
cana-4447	344	1	9s	9s	NUM
cana-4447	344	2	(	(	PUNCT
cana-4447	344	3	2025	2025	NUM
cana-4447	344	4	)	)	PUNCT
cana-4447	344	5	2068	2068	NUM
cana-4447	345	1	https://internationalpubls.com	https://internationalpubls.com	X
cana-4447	345	2	𝑁𝐶𝐶𝑅𝑥𝑦	𝑁𝐶𝐶𝑅𝑥𝑦	PROPN
cana-4447	345	3	=	=	SYM
cana-4447	345	4	cos	cos	PROPN
cana-4447	345	5	𝜃	𝜃	PROPN
cana-4447	345	6	=	=	PUNCT
cana-4447	345	7	∑	∑	PUNCT
cana-4447	345	8	(	(	PUNCT
cana-4447	345	9	𝑥𝑖	𝑥𝑖	PROPN
cana-4447	345	10	𝑛	𝑛	PROPN
cana-4447	345	11	𝑖=1	𝑖=1	PROPN
cana-4447	345	12	)	)	PUNCT
cana-4447	345	13	∗	∗	NOUN
cana-4447	345	14	(	(	PUNCT
cana-4447	345	15	𝑦𝑖	𝑦𝑖	NOUN
cana-4447	345	16	)	)	PUNCT
cana-4447	345	17	√∑	√∑	PUNCT
cana-4447	346	1	(	(	PUNCT
cana-4447	346	2	𝑥𝑖	𝑥𝑖	ADP
cana-4447	346	3	𝑛	𝑛	PRON
cana-4447	346	4	𝑖=1	𝑖=1	PROPN
cana-4447	346	5	)	)	PUNCT
cana-4447	346	6	∗	∗	NOUN
cana-4447	346	7	(	(	PUNCT
cana-4447	346	8	𝑦𝑖	𝑦𝑖	NOUN
cana-4447	346	9	)	)	PUNCT
cana-4447	346	10	−1	−1	NOUN
cana-4447	346	11	≤	≤	NOUN
cana-4447	346	12	𝑁𝐶𝐶	𝑁𝐶𝐶	X
cana-4447	346	13	≤	≤	NUM
cana-4447	346	14	1	1	NUM
cana-4447	346	15	(	(	PUNCT
cana-4447	346	16	21	21	NUM
cana-4447	346	17	)	)	PUNCT
cana-4447	346	18	the	the	DET
cana-4447	346	19	computational	computational	ADJ
cana-4447	346	20	complexity	complexity	NOUN
cana-4447	346	21	of	of	ADP
cana-4447	346	22	the	the	DET
cana-4447	346	23	normalized	normalize	VERB
cana-4447	346	24	cross	cross	NOUN
cana-4447	346	25	correlation	correlation	NOUN
cana-4447	346	26	(	(	PUNCT
cana-4447	346	27	ncc	ncc	NOUN
cana-4447	346	28	)	)	PUNCT
cana-4447	346	29	function	function	NOUN
cana-4447	346	30	is	be	AUX
cana-4447	346	31	typically	typically	ADV
cana-4447	346	32	considered	consider	VERB
cana-4447	346	33	to	to	PART
cana-4447	346	34	be	be	AUX
cana-4447	346	35	o(mn	o(mn	ADV
cana-4447	346	36	)	)	PUNCT
cana-4447	346	37	,	,	PUNCT
cana-4447	346	38	where	where	SCONJ
cana-4447	346	39	m	m	VERB
cana-4447	346	40	and	and	CCONJ
cana-4447	346	41	n	n	PRON
cana-4447	346	42	represent	represent	VERB
cana-4447	346	43	the	the	DET
cana-4447	346	44	dimensions	dimension	NOUN
cana-4447	346	45	or	or	CCONJ
cana-4447	346	46	vectors	vector	NOUN
cana-4447	346	47	of	of	ADP
cana-4447	346	48	the	the	DET
cana-4447	346	49	two	two	NUM
cana-4447	346	50	images	image	NOUN
cana-4447	346	51	being	be	AUX
cana-4447	346	52	compared	compare	VERB
cana-4447	346	53	,	,	PUNCT
cana-4447	346	54	i.e.	i.e.	X
cana-4447	346	55	,	,	PUNCT
cana-4447	346	56	computation	computation	NOUN
cana-4447	346	57	time	time	NOUN
cana-4447	346	58	scales	scale	VERB
cana-4447	346	59	linearly	linearly	ADV
cana-4447	346	60	with	with	ADP
cana-4447	346	61	the	the	DET
cana-4447	346	62	number	number	NOUN
cana-4447	346	63	of	of	ADP
cana-4447	346	64	pixels	pixel	NOUN
cana-4447	346	65	in	in	ADP
cana-4447	346	66	the	the	DET
cana-4447	346	67	images	image	NOUN
cana-4447	346	68	when	when	SCONJ
cana-4447	346	69	calculated	calculate	VERB
cana-4447	346	70	directly	directly	ADV
cana-4447	346	71	.	.	PUNCT
cana-4447	347	1	the	the	DET
cana-4447	347	2	training	training	NOUN
cana-4447	347	3	vectors	vector	NOUN
cana-4447	347	4	size	size	VERB
cana-4447	347	5	m×n	m×n	PROPN
cana-4447	347	6	and	and	CCONJ
cana-4447	347	7	a	a	DET
cana-4447	347	8	template	template	NOUN
cana-4447	347	9	vector	vector	NOUN
cana-4447	347	10	size	size	NOUN
cana-4447	347	11	m×n	m×n	PROPN
cana-4447	347	12	,	,	PUNCT
cana-4447	347	13	then	then	ADV
cana-4447	347	14	the	the	DET
cana-4447	347	15	computational	computational	ADJ
cana-4447	347	16	complexity	complexity	NOUN
cana-4447	347	17	of	of	ADP
cana-4447	347	18	the	the	DET
cana-4447	347	19	ncc	ncc	NOUN
cana-4447	347	20	involves	involve	VERB
cana-4447	347	21	3·m·n·m·n	3·m·n·m·n	NUM
cana-4447	347	22	additions	addition	NOUN
cana-4447	347	23	/	/	SYM
cana-4447	347	24	subtractions	subtraction	NOUN
cana-4447	347	25	and	and	CCONJ
cana-4447	347	26	2·m·n·m·n	2·m·n·m·n	NUM
cana-4447	347	27	multiplications	multiplication	NOUN
cana-4447	347	28	.	.	PUNCT
cana-4447	348	1	2.3.3	2.3.3	NUM
cana-4447	348	2	.	.	X
cana-4447	348	3	sum	sum	NOUN
cana-4447	348	4	of	of	ADP
cana-4447	348	5	absolute	absolute	ADJ
cana-4447	348	6	difference	difference	NOUN
cana-4447	348	7	(	(	PUNCT
cana-4447	348	8	sad	sad	ADJ
cana-4447	348	9	)	)	PUNCT
cana-4447	348	10	the	the	DET
cana-4447	348	11	similarity	similarity	NOUN
cana-4447	348	12	between	between	ADP
cana-4447	348	13	image	image	NOUN
cana-4447	348	14	blocks	block	NOUN
cana-4447	348	15	is	be	AUX
cana-4447	348	16	measured	measure	VERB
cana-4447	348	17	by	by	ADP
cana-4447	348	18	the	the	DET
cana-4447	348	19	sad	sad	ADJ
cana-4447	348	20	.	.	PUNCT
cana-4447	349	1	eq	eq	ADJ
cana-4447	349	2	.	.	PUNCT
cana-4447	350	1	(	(	PUNCT
cana-4447	350	2	22	22	NUM
cana-4447	350	3	)	)	PUNCT
cana-4447	350	4	is	be	AUX
cana-4447	350	5	used	use	VERB
cana-4447	350	6	to	to	PART
cana-4447	350	7	compute	compute	VERB
cana-4447	350	8	the	the	DET
cana-4447	350	9	absolute	absolute	ADJ
cana-4447	350	10	difference	difference	NOUN
cana-4447	350	11	between	between	ADP
cana-4447	350	12	each	each	DET
cana-4447	350	13	pixel	pixel	NOUN
cana-4447	350	14	in	in	ADP
cana-4447	350	15	the	the	DET
cana-4447	350	16	original	original	ADJ
cana-4447	350	17	block	block	NOUN
cana-4447	350	18	(	(	PUNCT
cana-4447	350	19	𝑆1	𝑆1	NOUN
cana-4447	350	20	-	-	PUNCT
cana-4447	350	21	subset1	subset1	NOUN
cana-4447	350	22	)	)	PUNCT
cana-4447	350	23	and	and	CCONJ
cana-4447	350	24	the	the	DET
cana-4447	350	25	corresponding	corresponding	ADJ
cana-4447	350	26	pixel	pixel	NOUN
cana-4447	350	27	in	in	ADP
cana-4447	350	28	the	the	DET
cana-4447	350	29	block	block	NOUN
cana-4447	350	30	(	(	PUNCT
cana-4447	350	31	𝑆2subset	𝑆2subset	NOUN
cana-4447	350	32	2	2	X
cana-4447	350	33	)	)	PUNCT
cana-4447	350	34	being	be	AUX
cana-4447	350	35	used	use	VERB
cana-4447	350	36	for	for	ADP
cana-4447	350	37	comparison	comparison	NOUN
cana-4447	350	38	.	.	PUNCT
cana-4447	351	1	a	a	DET
cana-4447	351	2	measure	measure	NOUN
cana-4447	351	3	of	of	ADP
cana-4447	351	4	block	block	NOUN
cana-4447	351	5	similarity	similarity	NOUN
cana-4447	351	6	is	be	AUX
cana-4447	351	7	produced	produce	VERB
cana-4447	351	8	by	by	ADP
cana-4447	351	9	adding	add	VERB
cana-4447	351	10	the	the	DET
cana-4447	351	11	differences	difference	NOUN
cana-4447	351	12	.	.	PUNCT
cana-4447	352	1	consider	consider	VERB
cana-4447	352	2	two	two	NUM
cana-4447	352	3	series	series	NOUN
cana-4447	352	4	x(i	x(i	PROPN
cana-4447	352	5	)	)	PUNCT
cana-4447	352	6	and	and	CCONJ
cana-4447	352	7	y(i	y(i	PROPN
cana-4447	352	8	)	)	PUNCT
cana-4447	352	9	where	where	SCONJ
cana-4447	352	10	i=0,1,2	i=0,1,2	NUM
cana-4447	352	11	...	...	PUNCT
cana-4447	352	12	n-1	n-1	NOUN
cana-4447	352	13	.	.	PUNCT
cana-4447	353	1	𝑆𝐴𝐷	𝑆𝐴𝐷	PROPN
cana-4447	353	2	=	=	SYM
cana-4447	353	3	∑	∑	PROPN
cana-4447	353	4	∑	∑	PROPN
cana-4447	353	5	|𝑆1[𝑥	|𝑆1[𝑥	PROPN
cana-4447	353	6	,	,	PUNCT
cana-4447	353	7	𝑦	𝑦	NOUN
cana-4447	353	8	]	]	X
cana-4447	353	9	−	−	PROPN
cana-4447	353	10	𝑆2[𝑥	𝑆2[𝑥	PROPN
cana-4447	353	11	,	,	PUNCT
cana-4447	353	12	𝑦]|.𝑦−1	𝑦]|.𝑦−1	NOUN
cana-4447	353	13	𝑦=0	𝑦=0	PRON
cana-4447	353	14	𝑥−1	𝑥−1	NOUN
cana-4447	353	15	𝑥=0	𝑥=0	PUNCT
cana-4447	353	16	(	(	PUNCT
cana-4447	353	17	22	22	NUM
cana-4447	353	18	)	)	PUNCT
cana-4447	353	19	the	the	DET
cana-4447	353	20	total	total	NOUN
cana-4447	353	21	of	of	ADP
cana-4447	353	22	the	the	DET
cana-4447	353	23	absolute	absolute	ADJ
cana-4447	353	24	differences	difference	NOUN
cana-4447	353	25	between	between	ADP
cana-4447	353	26	an	an	DET
cana-4447	353	27	element	element	NOUN
cana-4447	353	28	and	and	CCONJ
cana-4447	353	29	every	every	DET
cana-4447	353	30	other	other	ADJ
cana-4447	353	31	element	element	NOUN
cana-4447	353	32	is	be	AUX
cana-4447	353	33	determined	determine	VERB
cana-4447	353	34	by	by	ADP
cana-4447	353	35	the	the	DET
cana-4447	353	36	array	array	NOUN
cana-4447	353	37	's	's	PART
cana-4447	353	38	location	location	NOUN
cana-4447	353	39	and	and	CCONJ
cana-4447	353	40	is	be	AUX
cana-4447	353	41	obtained	obtain	VERB
cana-4447	353	42	from	from	ADP
cana-4447	353	43	the	the	DET
cana-4447	353	44	sorted	sorted	ADJ
cana-4447	353	45	data	data	NOUN
cana-4447	353	46	inputs	input	NOUN
cana-4447	353	47	.	.	PUNCT
cana-4447	354	1	this	this	PRON
cana-4447	354	2	permits	permit	VERB
cana-4447	354	3	an	an	DET
cana-4447	354	4	o(n	o(n	NOUN
cana-4447	354	5	)	)	PUNCT
cana-4447	354	6	linear	linear	ADJ
cana-4447	354	7	time	time	NOUN
cana-4447	354	8	complexity	complexity	NOUN
cana-4447	354	9	.	.	PUNCT
cana-4447	355	1	eqs	eqs	PROPN
cana-4447	355	2	.	.	PROPN
cana-4447	355	3	20	20	NUM
cana-4447	355	4	,	,	PUNCT
cana-4447	355	5	21	21	NUM
cana-4447	355	6	,	,	PUNCT
cana-4447	355	7	and	and	CCONJ
cana-4447	355	8	22	22	NUM
cana-4447	355	9	are	be	AUX
cana-4447	355	10	used	use	VERB
cana-4447	355	11	to	to	PART
cana-4447	355	12	calculate	calculate	VERB
cana-4447	355	13	the	the	DET
cana-4447	355	14	similarity	similarity	NOUN
cana-4447	355	15	between	between	ADP
cana-4447	355	16	table	table	NOUN
cana-4447	355	17	3	3	NUM
cana-4447	355	18	and	and	CCONJ
cana-4447	355	19	4	4	NUM
cana-4447	355	20	mentioned	mention	VERB
cana-4447	355	21	train	train	NOUN
cana-4447	355	22	data	datum	NOUN
cana-4447	355	23	vectors	vector	NOUN
cana-4447	355	24	(	(	PUNCT
cana-4447	355	25	posture	posture	NOUN
cana-4447	355	26	p1	p1	NOUN
cana-4447	355	27	to	to	PART
cana-4447	355	28	p6	p6	PROPN
cana-4447	355	29	)	)	PUNCT
cana-4447	355	30	and	and	CCONJ
cana-4447	355	31	test	test	NOUN
cana-4447	355	32	data	datum	NOUN
cana-4447	355	33	vectors	vector	NOUN
cana-4447	355	34	(	(	PUNCT
cana-4447	355	35	shooting	shooting	NOUN
cana-4447	355	36	,	,	PUNCT
cana-4447	355	37	fighting	fighting	NOUN
cana-4447	355	38	,	,	PUNCT
cana-4447	355	39	and	and	CCONJ
cana-4447	355	40	kicking	kicking	NOUN
cana-4447	355	41	activities	activity	NOUN
cana-4447	355	42	)	)	PUNCT
cana-4447	355	43	,	,	PUNCT
cana-4447	355	44	to	to	PART
cana-4447	355	45	predict	predict	VERB
cana-4447	355	46	human	human	ADJ
cana-4447	355	47	activity	activity	NOUN
cana-4447	355	48	.	.	PUNCT
cana-4447	356	1	the	the	DET
cana-4447	356	2	results	result	NOUN
cana-4447	356	3	are	be	AUX
cana-4447	356	4	depicted	depict	VERB
cana-4447	356	5	in	in	ADP
cana-4447	356	6	table	table	NOUN
cana-4447	356	7	5	5	NUM
cana-4447	356	8	.	.	PUNCT
cana-4447	356	9	from	from	ADP
cana-4447	356	10	three	three	NUM
cana-4447	356	11	of	of	ADP
cana-4447	356	12	the	the	DET
cana-4447	356	13	tmsa	tmsa	NOUN
cana-4447	356	14	similarity	similarity	NOUN
cana-4447	356	15	measure	measure	NOUN
cana-4447	356	16	values	value	NOUN
cana-4447	356	17	,	,	PUNCT
cana-4447	356	18	the	the	DET
cana-4447	356	19	ncc	ncc	NOUN
cana-4447	356	20	has	have	VERB
cana-4447	356	21	the	the	DET
cana-4447	356	22	highest	high	ADJ
cana-4447	356	23	similarity	similarity	NOUN
cana-4447	356	24	measure	measure	NOUN
cana-4447	356	25	value	value	NOUN
cana-4447	356	26	to	to	PART
cana-4447	356	27	predict	predict	VERB
cana-4447	356	28	shooting	shooting	NOUN
cana-4447	356	29	,	,	PUNCT
cana-4447	356	30	fighting	fighting	NOUN
cana-4447	356	31	,	,	PUNCT
cana-4447	356	32	and	and	CCONJ
cana-4447	356	33	kicking	kick	VERB
cana-4447	356	34	crime	crime	NOUN
cana-4447	356	35	activities	activity	NOUN
cana-4447	356	36	in	in	ADP
cana-4447	356	37	humans	human	NOUN
cana-4447	356	38	.	.	PUNCT
cana-4447	357	1	therefore	therefore	ADV
cana-4447	357	2	,	,	PUNCT
cana-4447	357	3	the	the	DET
cana-4447	357	4	use	use	NOUN
cana-4447	357	5	of	of	ADP
cana-4447	357	6	ncc	ncc	NOUN
cana-4447	357	7	calculation	calculation	NOUN
cana-4447	357	8	is	be	AUX
cana-4447	357	9	efficient	efficient	ADJ
cana-4447	357	10	and	and	CCONJ
cana-4447	357	11	highly	highly	ADV
cana-4447	357	12	recommended	recommend	VERB
cana-4447	357	13	to	to	PART
cana-4447	357	14	statistically	statistically	ADV
cana-4447	357	15	evaluate	evaluate	VERB
cana-4447	357	16	the	the	DET
cana-4447	357	17	similarity	similarity	NOUN
cana-4447	357	18	between	between	ADP
cana-4447	357	19	datasets	dataset	NOUN
cana-4447	357	20	.	.	PUNCT
cana-4447	358	1	so	so	ADV
cana-4447	358	2	,	,	PUNCT
cana-4447	358	3	the	the	DET
cana-4447	358	4	computation	computation	NOUN
cana-4447	358	5	complexity	complexity	NOUN
cana-4447	358	6	for	for	ADP
cana-4447	358	7	human	human	ADJ
cana-4447	358	8	crime	crime	NOUN
cana-4447	358	9	activity	activity	NOUN
cana-4447	358	10	prediction	prediction	NOUN
cana-4447	358	11	(	(	PUNCT
cana-4447	358	12	hap	hap	NOUN
cana-4447	358	13	)	)	PUNCT
cana-4447	358	14	using	use	VERB
cana-4447	358	15	the	the	DET
cana-4447	358	16	novelhap	novelhap	ADJ
cana-4447	358	17	algorithm	algorithm	NOUN
cana-4447	358	18	with	with	ADP
cana-4447	358	19	kfa	kfa	PROPN
cana-4447	358	20	,	,	PUNCT
cana-4447	358	21	mpp	mpp	PROPN
cana-4447	358	22	,	,	PUNCT
cana-4447	358	23	and	and	CCONJ
cana-4447	358	24	tmsa	tmsa	NOUN
cana-4447	358	25	is	be	AUX
cana-4447	358	26	quadratic	quadratic	ADJ
cana-4447	358	27	.	.	PUNCT
cana-4447	358	28	,	,	PUNCT
cana-4447	358	29	i.e.	i.e.	X
cana-4447	358	30	,	,	PUNCT
cana-4447	358	31	o(n2	o(n2	ADJ
cana-4447	358	32	)	)	PUNCT
cana-4447	358	33	.	.	PUNCT
cana-4447	359	1	table	table	NOUN
cana-4447	359	2	5	5	NUM
cana-4447	359	3	.	.	PUNCT
cana-4447	360	1	human	human	ADJ
cana-4447	360	2	activity	activity	NOUN
cana-4447	360	3	prediction	prediction	NOUN
cana-4447	360	4	results	result	VERB
cana-4447	360	5	similarity	similarity	NOUN
cana-4447	360	6	between	between	ADP
cana-4447	360	7	train	train	NOUN
cana-4447	360	8	data	data	PROPN
cana-4447	360	9	&	&	CCONJ
cana-4447	360	10	test	test	PROPN
cana-4447	360	11	data	datum	NOUN
cana-4447	360	12	crosscorrelation	crosscorrelation	NOUN
cana-4447	360	13	(	(	PUNCT
cana-4447	360	14	cc	cc	NOUN
cana-4447	360	15	)	)	PUNCT
cana-4447	360	16	normalized	normalize	VERB
cana-4447	360	17	crosscorrelation	crosscorrelation	NOUN
cana-4447	360	18	(	(	PUNCT
cana-4447	360	19	ncc	ncc	NOUN
cana-4447	360	20	)	)	PUNCT
cana-4447	360	21	sum	sum	NOUN
cana-4447	360	22	of	of	ADP
cana-4447	360	23	absolute	absolute	ADJ
cana-4447	360	24	difference	difference	NOUN
cana-4447	360	25	(	(	PUNCT
cana-4447	360	26	sad	sad	ADJ
cana-4447	360	27	)	)	PUNCT
cana-4447	360	28	result	result	NOUN
cana-4447	360	29	of	of	ADP
cana-4447	360	30	human	human	ADJ
cana-4447	360	31	activity	activity	NOUN
cana-4447	360	32	prediction	prediction	NOUN
cana-4447	360	33	similarity	similarity	NOUN
cana-4447	360	34	between	between	ADP
cana-4447	360	35	(	(	PUNCT
cana-4447	360	36	posture	posture	NOUN
cana-4447	360	37	p1	p1	NOUN
cana-4447	360	38	to	to	PART
cana-4447	360	39	p6	p6	PROPN
cana-4447	360	40	)	)	PUNCT
cana-4447	360	41	&	&	CCONJ
cana-4447	360	42	(	(	PUNCT
cana-4447	360	43	shooting	shoot	VERB
cana-4447	360	44	activity	activity	NOUN
cana-4447	360	45	posture	posture	NOUN
cana-4447	360	46	template	template	NOUN
cana-4447	360	47	)	)	PUNCT
cana-4447	360	48	*	*	PUNCT
cana-4447	360	49	posture	posture	NOUN
cana-4447	360	50	p1	p1	NOUN
cana-4447	360	51	&	&	CCONJ
cana-4447	360	52	shooting	shoot	VERB
cana-4447	360	53	activity	activity	NOUN
cana-4447	360	54	posture	posture	NOUN
cana-4447	360	55	template	template	NOUN
cana-4447	360	56	0.9258	0.9258	NUM
cana-4447	360	57	*	*	PUNCT
cana-4447	360	58	*	*	PUNCT
cana-4447	360	59	0.9570	0.9570	NUM
cana-4447	360	60	0.9136	0.9136	NUM
cana-4447	360	61	shooting	shooting	NOUN
cana-4447	360	62	activity	activity	NOUN
cana-4447	360	63	predicted	predict	VERB
cana-4447	360	64	at	at	ADP
cana-4447	360	65	posture	posture	NOUN
cana-4447	360	66	p1	p1	NOUN
cana-4447	360	67	with	with	ADP
cana-4447	360	68	highest	high	ADJ
cana-4447	360	69	ncc	ncc	NOUN
cana-4447	360	70	similarity	similarity	NOUN
cana-4447	360	71	is	be	AUX
cana-4447	360	72	0.9570	0.9570	NUM
cana-4447	360	73	posture	posture	NOUN
cana-4447	360	74	p2	p2	NOUN
cana-4447	360	75	&	&	CCONJ
cana-4447	360	76	shooting	shoot	VERB
cana-4447	360	77	activity	activity	NOUN
cana-4447	360	78	posture	posture	NOUN
cana-4447	360	79	template	template	NOUN
cana-4447	360	80	0.8839	0.8839	NUM
cana-4447	360	81	0.9393	0.9393	NUM
cana-4447	360	82	0.8993	0.8993	NUM
cana-4447	360	83	--	--	PUNCT
cana-4447	360	84	posture	posture	NOUN
cana-4447	360	85	p3	p3	PROPN
cana-4447	360	86	&	&	CCONJ
cana-4447	360	87	shooting	shoot	VERB
cana-4447	360	88	activity	activity	NOUN
cana-4447	360	89	posture	posture	NOUN
cana-4447	360	90	template	template	NOUN
cana-4447	360	91	0.6151	0.6151	NUM
cana-4447	360	92	0.8948	0.8948	NUM
cana-4447	360	93	0.6457	0.6457	NUM
cana-4447	360	94	--	--	PUNCT
cana-4447	360	95	posture	posture	NOUN
cana-4447	360	96	p4	p4	ADJ
cana-4447	360	97	&	&	CCONJ
cana-4447	360	98	shooting	shoot	VERB
cana-4447	360	99	activity	activity	NOUN
cana-4447	360	100	posture	posture	NOUN
cana-4447	360	101	template	template	NOUN
cana-4447	360	102	0.7132	0.7132	NUM
cana-4447	360	103	0.8652	0.8652	NUM
cana-4447	360	104	0.6953	0.6953	NUM
cana-4447	360	105	--	--	PUNCT
cana-4447	360	106	posture	posture	NOUN
cana-4447	360	107	p5	p5	ADJ
cana-4447	360	108	&	&	CCONJ
cana-4447	360	109	shooting	shoot	VERB
cana-4447	360	110	activity	activity	NOUN
cana-4447	360	111	posture	posture	NOUN
cana-4447	360	112	template	template	NOUN
cana-4447	360	113	0.7252	0.7252	NOUN
cana-4447	360	114	0.8228	0.8228	NUM
cana-4447	360	115	0.7324	0.7324	NUM
cana-4447	360	116	--	--	PUNCT
cana-4447	360	117	posture	posture	NOUN
cana-4447	360	118	p6	p6	NOUN
cana-4447	360	119	&	&	CCONJ
cana-4447	360	120	shooting	shoot	VERB
cana-4447	360	121	activity	activity	NOUN
cana-4447	360	122	posture	posture	NOUN
cana-4447	360	123	template	template	NOUN
cana-4447	360	124	0.8345	0.8345	NUM
cana-4447	360	125	0.853	0.853	NUM
cana-4447	360	126	0.8034	0.8034	NUM
cana-4447	360	127	--	--	PUNCT
cana-4447	360	128	communications	communication	NOUN
cana-4447	360	129	on	on	ADP
cana-4447	360	130	applied	apply	VERB
cana-4447	360	131	nonlinear	nonlinear	ADJ
cana-4447	360	132	analysis	analysis	NOUN
cana-4447	360	133	issn	issn	NOUN
cana-4447	360	134	:	:	PUNCT
cana-4447	360	135	1074	1074	NUM
cana-4447	360	136	-	-	PUNCT
cana-4447	360	137	133x	133x	NUM
cana-4447	360	138	vol	vol	NOUN
cana-4447	360	139	32	32	NUM
cana-4447	361	1	no	no	NOUN
cana-4447	361	2	.	.	PUNCT
cana-4447	362	1	9s	9s	NUM
cana-4447	362	2	(	(	PUNCT
cana-4447	362	3	2025	2025	NUM
cana-4447	362	4	)	)	PUNCT
cana-4447	362	5	2069	2069	NUM
cana-4447	362	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-4447	362	7	similarity	similarity	NOUN
cana-4447	362	8	between	between	ADP
cana-4447	362	9	(	(	PUNCT
cana-4447	362	10	posture	posture	NOUN
cana-4447	362	11	p1	p1	NOUN
cana-4447	362	12	to	to	PART
cana-4447	362	13	p6	p6	PROPN
cana-4447	362	14	)	)	PUNCT
cana-4447	362	15	&	&	CCONJ
cana-4447	362	16	(	(	PUNCT
cana-4447	362	17	fighting	fight	VERB
cana-4447	362	18	activity	activity	NOUN
cana-4447	362	19	posture	posture	NOUN
cana-4447	362	20	template	template	NOUN
cana-4447	362	21	)	)	PUNCT
cana-4447	362	22	posture	posture	NOUN
cana-4447	362	23	p1	p1	NOUN
cana-4447	362	24	&	&	CCONJ
cana-4447	362	25	fighting	fight	VERB
cana-4447	362	26	activity	activity	NOUN
cana-4447	362	27	posture	posture	NOUN
cana-4447	362	28	template	template	NOUN
cana-4447	362	29	0.7369	0.7369	NUM
cana-4447	362	30	0.8698	0.8698	NUM
cana-4447	362	31	0.8591	0.8591	NUM
cana-4447	362	32	--	--	PUNCT
cana-4447	362	33	posture	posture	NOUN
cana-4447	362	34	p2	p2	NOUN
cana-4447	362	35	&	&	CCONJ
cana-4447	362	36	fighting	fight	VERB
cana-4447	362	37	activity	activity	NOUN
cana-4447	362	38	posture	posture	NOUN
cana-4447	362	39	template	template	NOUN
cana-4447	362	40	0.7925	0.7925	NUM
cana-4447	362	41	0.8253	0.8253	NUM
cana-4447	362	42	0.8863	0.8863	NUM
cana-4447	362	43	--	--	PUNCT
cana-4447	362	44	posture	posture	NOUN
cana-4447	362	45	p3	p3	PROPN
cana-4447	362	46	&	&	CCONJ
cana-4447	362	47	fighting	fight	VERB
cana-4447	362	48	activity	activity	NOUN
cana-4447	362	49	posture	posture	NOUN
cana-4447	362	50	template	template	NOUN
cana-4447	362	51	0.8953	0.8953	NUM
cana-4447	362	52	0.9146	0.9146	NUM
cana-4447	362	53	0.9283	0.9283	NUM
cana-4447	362	54	--	--	PUNCT
cana-4447	362	55	*	*	PUNCT
cana-4447	362	56	posture	posture	NOUN
cana-4447	362	57	p4	p4	ADJ
cana-4447	362	58	&	&	CCONJ
cana-4447	362	59	fighting	fight	VERB
cana-4447	362	60	activity	activity	NOUN
cana-4447	362	61	posture	posture	NOUN
cana-4447	362	62	template	template	NOUN
cana-4447	362	63	0.9682	0.9682	NUM
cana-4447	362	64	*	*	PUNCT
cana-4447	363	1	*	*	PUNCT
cana-4447	363	2	0.9924	0.9924	NUM
cana-4447	363	3	0.9596	0.9596	NUM
cana-4447	363	4	fighting	fighting	NOUN
cana-4447	363	5	activity	activity	NOUN
cana-4447	363	6	predicted	predict	VERB
cana-4447	363	7	at	at	ADP
cana-4447	363	8	posture	posture	NOUN
cana-4447	363	9	p4	p4	ADJ
cana-4447	363	10	with	with	ADP
cana-4447	363	11	highest	high	ADJ
cana-4447	363	12	ncc	ncc	NOUN
cana-4447	363	13	similarity	similarity	NOUN
cana-4447	363	14	is	be	AUX
cana-4447	363	15	0.9924	0.9924	NUM
cana-4447	363	16	posture	posture	NOUN
cana-4447	363	17	p5	p5	ADJ
cana-4447	363	18	&	&	CCONJ
cana-4447	363	19	fighting	fight	VERB
cana-4447	363	20	activity	activity	NOUN
cana-4447	363	21	posture	posture	NOUN
cana-4447	363	22	template	template	NOUN
cana-4447	363	23	0.8564	0.8564	NUM
cana-4447	363	24	0.8965	0.8965	NUM
cana-4447	363	25	0.8564	0.8564	NUM
cana-4447	363	26	--	--	PUNCT
cana-4447	363	27	posture	posture	NOUN
cana-4447	363	28	p6	p6	NOUN
cana-4447	363	29	&	&	CCONJ
cana-4447	363	30	fighting	fight	VERB
cana-4447	363	31	activity	activity	NOUN
cana-4447	363	32	posture	posture	NOUN
cana-4447	363	33	template	template	NOUN
cana-4447	363	34	0.8938	0.8938	NUM
cana-4447	363	35	0.8325	0.8325	NUM
cana-4447	363	36	0.8821	0.8821	NUM
cana-4447	363	37	--	--	PUNCT
cana-4447	363	38	similarity	similarity	NOUN
cana-4447	363	39	between	between	ADP
cana-4447	363	40	(	(	PUNCT
cana-4447	363	41	posture	posture	NOUN
cana-4447	363	42	p1	p1	NOUN
cana-4447	363	43	to	to	PART
cana-4447	363	44	p6	p6	PROPN
cana-4447	363	45	)	)	PUNCT
cana-4447	363	46	&	&	CCONJ
cana-4447	363	47	(	(	PUNCT
cana-4447	363	48	kicking	kick	VERB
cana-4447	363	49	activity	activity	NOUN
cana-4447	363	50	posture	posture	NOUN
cana-4447	363	51	template	template	NOUN
cana-4447	363	52	)	)	PUNCT
cana-4447	363	53	posture	posture	NOUN
cana-4447	363	54	p1	p1	NOUN
cana-4447	363	55	&	&	CCONJ
cana-4447	363	56	kicking	kick	VERB
cana-4447	363	57	activity	activity	NOUN
cana-4447	363	58	posture	posture	NOUN
cana-4447	363	59	template	template	NOUN
cana-4447	363	60	0.7653	0.7653	NUM
cana-4447	363	61	0.9035	0.9035	NUM
cana-4447	363	62	0.8145	0.8145	NUM
cana-4447	363	63	--	--	PUNCT
cana-4447	363	64	posture	posture	NOUN
cana-4447	363	65	p2	p2	PROPN
cana-4447	363	66	&	&	CCONJ
cana-4447	363	67	kicking	kick	VERB
cana-4447	363	68	activity	activity	NOUN
cana-4447	363	69	posture	posture	NOUN
cana-4447	363	70	template	template	NOUN
cana-4447	363	71	0.7012	0.7012	NUM
cana-4447	363	72	0.8969	0.8969	NUM
cana-4447	363	73	0.8007	0.8007	NUM
cana-4447	363	74	--	--	PUNCT
cana-4447	363	75	posture	posture	NOUN
cana-4447	363	76	p3	p3	PROPN
cana-4447	363	77	&	&	CCONJ
cana-4447	363	78	kicking	kick	VERB
cana-4447	363	79	activity	activity	NOUN
cana-4447	363	80	posture	posture	NOUN
cana-4447	363	81	template	template	NOUN
cana-4447	363	82	0.8069	0.8069	NUM
cana-4447	363	83	0.9136	0.9136	NUM
cana-4447	363	84	0.8267	0.8267	NUM
cana-4447	363	85	--	--	PUNCT
cana-4447	363	86	posture	posture	NOUN
cana-4447	363	87	p4	p4	ADJ
cana-4447	363	88	&	&	CCONJ
cana-4447	363	89	kicking	kick	VERB
cana-4447	363	90	activity	activity	NOUN
cana-4447	363	91	posture	posture	NOUN
cana-4447	363	92	template	template	NOUN
cana-4447	363	93	0.8048	0.8048	NUM
cana-4447	363	94	0.8835	0.8835	NUM
cana-4447	363	95	0.8159	0.8159	NUM
cana-4447	363	96	--	--	PUNCT
cana-4447	363	97	posture	posture	NOUN
cana-4447	363	98	p5	p5	ADJ
cana-4447	363	99	&	&	CCONJ
cana-4447	363	100	kicking	kick	VERB
cana-4447	363	101	activity	activity	NOUN
cana-4447	363	102	posture	posture	NOUN
cana-4447	363	103	template	template	NOUN
cana-4447	363	104	0.9253	0.9253	NUM
cana-4447	363	105	0.9692	0.9692	NUM
cana-4447	363	106	0.8973	0.8973	NUM
cana-4447	363	107	--	--	PUNCT
cana-4447	363	108	*	*	PUNCT
cana-4447	363	109	posture	posture	NOUN
cana-4447	363	110	p6	p6	NOUN
cana-4447	363	111	&	&	CCONJ
cana-4447	363	112	kicking	kick	VERB
cana-4447	363	113	activity	activity	NOUN
cana-4447	363	114	posture	posture	NOUN
cana-4447	363	115	template	template	NOUN
cana-4447	363	116	0.9630	0.9630	NUM
cana-4447	363	117	*	*	PUNCT
cana-4447	364	1	*	*	PUNCT
cana-4447	364	2	0.9931	0.9931	NUM
cana-4447	364	3	0.9630	0.9630	NUM
cana-4447	364	4	kicking	kicking	NOUN
cana-4447	364	5	activity	activity	NOUN
cana-4447	364	6	predicted	predict	VERB
cana-4447	364	7	at	at	ADP
cana-4447	364	8	posture	posture	NOUN
cana-4447	364	9	p6	p6	VERB
cana-4447	364	10	with	with	ADP
cana-4447	364	11	the	the	DET
cana-4447	364	12	highest	high	ADJ
cana-4447	364	13	ncc	ncc	NOUN
cana-4447	364	14	similarity	similarity	NOUN
cana-4447	364	15	is	be	AUX
cana-4447	364	16	0.9931	0.9931	NUM
cana-4447	364	17	3	3	NUM
cana-4447	364	18	.	.	PUNCT
cana-4447	364	19	experimental	experimental	ADJ
cana-4447	364	20	results	result	NOUN
cana-4447	364	21	and	and	CCONJ
cana-4447	364	22	discussion	discussion	NOUN
cana-4447	364	23	this	this	DET
cana-4447	364	24	section	section	NOUN
cana-4447	364	25	delineates	delineate	VERB
cana-4447	364	26	the	the	DET
cana-4447	364	27	dataset	dataset	NOUN
cana-4447	364	28	specifications	specification	NOUN
cana-4447	364	29	,	,	PUNCT
cana-4447	364	30	experimental	experimental	ADJ
cana-4447	364	31	outcomes	outcome	NOUN
cana-4447	364	32	on	on	ADP
cana-4447	364	33	the	the	DET
cana-4447	364	34	dataset	dataset	NOUN
cana-4447	364	35	,	,	PUNCT
cana-4447	364	36	and	and	CCONJ
cana-4447	364	37	empirical	empirical	ADJ
cana-4447	364	38	evaluation	evaluation	NOUN
cana-4447	364	39	.	.	PUNCT
cana-4447	365	1	the	the	DET
cana-4447	365	2	proposed	propose	VERB
cana-4447	365	3	methodology	methodology	NOUN
cana-4447	365	4	was	be	AUX
cana-4447	365	5	executed	execute	VERB
cana-4447	365	6	and	and	CCONJ
cana-4447	365	7	evaluated	evaluate	VERB
cana-4447	365	8	in	in	ADP
cana-4447	365	9	different	different	ADJ
cana-4447	365	10	devices	device	NOUN
cana-4447	365	11	,	,	PUNCT
cana-4447	365	12	and	and	CCONJ
cana-4447	365	13	platforms	platform	NOUN
cana-4447	365	14	(	(	PUNCT
cana-4447	365	15	windows	window	NOUN
cana-4447	365	16	and	and	CCONJ
cana-4447	365	17	linux	linux	PROPN
cana-4447	365	18	)	)	PUNCT
cana-4447	365	19	using	use	VERB
cana-4447	365	20	the	the	DET
cana-4447	365	21	ucf-101	ucf-101	ADJ
cana-4447	365	22	real	real	ADJ
cana-4447	365	23	-	-	PUNCT
cana-4447	365	24	world	world	NOUN
cana-4447	365	25	surveillance	surveillance	NOUN
cana-4447	365	26	dataset	dataset	NOUN
cana-4447	365	27	.	.	PUNCT
cana-4447	366	1	the	the	DET
cana-4447	366	2	results	result	NOUN
cana-4447	366	3	obtained	obtain	VERB
cana-4447	366	4	are	be	AUX
cana-4447	366	5	examined	examine	VERB
cana-4447	366	6	in	in	ADP
cana-4447	366	7	detail	detail	NOUN
cana-4447	366	8	.	.	PUNCT
cana-4447	367	1	finally	finally	ADV
cana-4447	367	2	,	,	PUNCT
cana-4447	367	3	the	the	DET
cana-4447	367	4	proposed	propose	VERB
cana-4447	367	5	method	method	NOUN
cana-4447	367	6	is	be	AUX
cana-4447	367	7	compared	compare	VERB
cana-4447	367	8	against	against	ADP
cana-4447	367	9	the	the	DET
cana-4447	367	10	existing	exist	VERB
cana-4447	367	11	methods	method	NOUN
cana-4447	367	12	.	.	PUNCT
cana-4447	368	1	3.1	3.1	NUM
cana-4447	368	2	.	.	PUNCT
cana-4447	368	3	results	result	VERB
cana-4447	368	4	the	the	DET
cana-4447	368	5	proposed	propose	VERB
cana-4447	368	6	methodology	methodology	NOUN
cana-4447	368	7	is	be	AUX
cana-4447	368	8	executed	execute	VERB
cana-4447	368	9	and	and	CCONJ
cana-4447	368	10	evaluated	evaluate	VERB
cana-4447	368	11	on	on	ADP
cana-4447	368	12	the	the	DET
cana-4447	368	13	ucf-101	ucf-101	PROPN
cana-4447	368	14	public	public	NOUN
cana-4447	368	15	dataset	dataset	NOUN
cana-4447	368	16	for	for	ADP
cana-4447	368	17	realworld	realworld	PROPN
cana-4447	368	18	surveillance	surveillance	NOUN
cana-4447	368	19	crime	crime	NOUN
cana-4447	368	20	.	.	PUNCT
cana-4447	369	1	the	the	DET
cana-4447	369	2	dataset	dataset	NOUN
cana-4447	369	3	comprises	comprise	VERB
cana-4447	369	4	950	950	NUM
cana-4447	369	5	videos	video	NOUN
cana-4447	369	6	in	in	ADP
cana-4447	369	7	total	total	NOUN
cana-4447	369	8	.	.	PUNCT
cana-4447	370	1	the	the	DET
cana-4447	370	2	experiment	experiment	NOUN
cana-4447	370	3	employed	employ	VERB
cana-4447	370	4	a	a	DET
cana-4447	370	5	video	video	NOUN
cana-4447	370	6	duration	duration	NOUN
cana-4447	370	7	of	of	ADP
cana-4447	370	8	90	90	NUM
cana-4447	370	9	seconds	second	NOUN
cana-4447	370	10	and	and	CCONJ
cana-4447	370	11	a	a	DET
cana-4447	370	12	frame	frame	NOUN
cana-4447	370	13	rate	rate	NOUN
cana-4447	370	14	of	of	ADP
cana-4447	370	15	24	24	NUM
cana-4447	370	16	frames	frame	NOUN
cana-4447	370	17	per	per	ADP
cana-4447	370	18	second	second	NOUN
cana-4447	370	19	.	.	PUNCT
cana-4447	371	1	the	the	DET
cana-4447	371	2	13	13	NUM
cana-4447	371	3	real	real	ADJ
cana-4447	371	4	-	-	PUNCT
cana-4447	371	5	world	world	NOUN
cana-4447	371	6	anomalies	anomaly	NOUN
cana-4447	371	7	captured	capture	VERB
cana-4447	371	8	by	by	ADP
cana-4447	371	9	the	the	DET
cana-4447	371	10	camera	camera	NOUN
cana-4447	371	11	included	include	VERB
cana-4447	371	12	abuse	abuse	NOUN
cana-4447	371	13	,	,	PUNCT
cana-4447	371	14	arrests	arrest	NOUN
cana-4447	371	15	,	,	PUNCT
cana-4447	371	16	arson	arson	NOUN
cana-4447	371	17	,	,	PUNCT
cana-4447	371	18	assault	assault	NOUN
cana-4447	371	19	,	,	PUNCT
cana-4447	371	20	car	car	NOUN
cana-4447	371	21	crashes	crash	NOUN
cana-4447	371	22	,	,	PUNCT
cana-4447	371	23	burglaries	burglary	NOUN
cana-4447	371	24	,	,	PUNCT
cana-4447	371	25	explosions	explosion	NOUN
cana-4447	371	26	,	,	PUNCT
cana-4447	371	27	fights	fight	NOUN
cana-4447	371	28	,	,	PUNCT
cana-4447	371	29	robberies	robbery	NOUN
cana-4447	371	30	,	,	PUNCT
cana-4447	371	31	shootings	shooting	NOUN
cana-4447	371	32	,	,	PUNCT
cana-4447	371	33	thieving	thieving	NOUN
cana-4447	371	34	,	,	PUNCT
cana-4447	371	35	shoplifting	shoplifting	NOUN
cana-4447	371	36	,	,	PUNCT
cana-4447	371	37	and	and	CCONJ
cana-4447	371	38	vandalism	vandalism	NOUN
cana-4447	371	39	.	.	PUNCT
cana-4447	372	1	the	the	DET
cana-4447	372	2	dataset	dataset	NOUN
cana-4447	372	3	was	be	AUX
cana-4447	372	4	utilized	utilize	VERB
cana-4447	372	5	to	to	PART
cana-4447	372	6	examine	examine	VERB
cana-4447	372	7	human	human	ADJ
cana-4447	372	8	crime	crime	NOUN
cana-4447	372	9	activity	activity	NOUN
cana-4447	372	10	prediction	prediction	NOUN
cana-4447	372	11	(	(	PUNCT
cana-4447	372	12	hap	hap	NOUN
cana-4447	372	13	)	)	PUNCT
cana-4447	372	14	in	in	ADP
cana-4447	372	15	extensive	extensive	ADJ
cana-4447	372	16	unedited	unedited	ADJ
cana-4447	372	17	surveillance	surveillance	NOUN
cana-4447	372	18	video	video	NOUN
cana-4447	372	19	datasets	dataset	NOUN
cana-4447	372	20	(	(	PUNCT
cana-4447	372	21	indoor	indoor	ADJ
cana-4447	372	22	and	and	CCONJ
cana-4447	372	23	outdoor	outdoor	ADJ
cana-4447	372	24	)	)	PUNCT
cana-4447	372	25	,	,	PUNCT
cana-4447	372	26	addressing	address	VERB
cana-4447	372	27	significant	significant	ADJ
cana-4447	372	28	video	video	NOUN
cana-4447	372	29	complexity	complexity	NOUN
cana-4447	372	30	challenges	challenge	NOUN
cana-4447	372	31	.	.	PUNCT
cana-4447	373	1	figure	figure	VERB
cana-4447	373	2	13	13	NUM
cana-4447	373	3	illustrates	illustrate	VERB
cana-4447	373	4	several	several	ADJ
cana-4447	373	5	video	video	NOUN
cana-4447	373	6	obstacles	obstacle	NOUN
cana-4447	373	7	arranged	arrange	VERB
cana-4447	373	8	from	from	ADP
cana-4447	373	9	left	left	ADJ
cana-4447	373	10	to	to	ADP
cana-4447	373	11	right	right	ADJ
cana-4447	373	12	1	1	NUM
cana-4447	373	13	)	)	PUNCT
cana-4447	373	14	occlusion	occlusion	NOUN
cana-4447	373	15	,	,	PUNCT
cana-4447	373	16	cluttered	cluttered	ADJ
cana-4447	373	17	background	background	NOUN
cana-4447	373	18	,	,	PUNCT
cana-4447	373	19	low	low	ADJ
cana-4447	373	20	-	-	PUNCT
cana-4447	373	21	resolution	resolution	NOUN
cana-4447	373	22	,	,	PUNCT
cana-4447	373	23	illumination	illumination	NOUN
cana-4447	373	24	,	,	PUNCT
cana-4447	373	25	all	all	DET
cana-4447	373	26	persons	person	NOUN
cana-4447	373	27	are	be	AUX
cana-4447	373	28	not	not	PART
cana-4447	373	29	exactly	exactly	ADV
cana-4447	373	30	facing	face	VERB
cana-4447	373	31	the	the	DET
cana-4447	373	32	camera	camera	NOUN
cana-4447	373	33	2	2	NUM
cana-4447	373	34	)	)	PUNCT
cana-4447	373	35	low	low	ADJ
cana-4447	373	36	video	video	NOUN
cana-4447	373	37	and	and	CCONJ
cana-4447	373	38	image	image	NOUN
cana-4447	373	39	quality	quality	NOUN
cana-4447	373	40	,	,	PUNCT
cana-4447	373	41	overlapped	overlapped	ADJ
cana-4447	373	42	humans	human	NOUN
cana-4447	373	43	,	,	PUNCT
cana-4447	373	44	moving	move	VERB
cana-4447	373	45	humans	human	NOUN
cana-4447	373	46	,	,	PUNCT
cana-4447	373	47	small	small	ADJ
cana-4447	373	48	objects	object	NOUN
cana-4447	373	49	(	(	PUNCT
cana-4447	373	50	humans	human	NOUN
cana-4447	373	51	)	)	PUNCT
cana-4447	373	52	,	,	PUNCT
cana-4447	373	53	different	different	ADJ
cana-4447	373	54	poses	pose	NOUN
cana-4447	373	55	3	3	NUM
cana-4447	373	56	)	)	PUNCT
cana-4447	373	57	people	people	NOUN
cana-4447	373	58	wearing	wear	VERB
cana-4447	373	59	different	different	ADJ
cana-4447	373	60	clothes	clothe	NOUN
cana-4447	373	61	,	,	PUNCT
cana-4447	373	62	people	people	NOUN
cana-4447	373	63	laid	lay	VERB
cana-4447	373	64	down	down	ADP
cana-4447	373	65	on	on	ADP
cana-4447	373	66	the	the	DET
cana-4447	373	67	floor	floor	NOUN
cana-4447	373	68	,	,	PUNCT
cana-4447	373	69	night	night	NOUN
cana-4447	373	70	videos	video	NOUN
cana-4447	373	71	,	,	PUNCT
cana-4447	373	72	different	different	ADJ
cana-4447	373	73	weather	weather	NOUN
cana-4447	373	74	conditions	condition	NOUN
cana-4447	373	75	.	.	PUNCT
cana-4447	374	1	communications	communication	NOUN
cana-4447	374	2	on	on	ADP
cana-4447	374	3	applied	apply	VERB
cana-4447	374	4	nonlinear	nonlinear	ADJ
cana-4447	374	5	analysis	analysis	NOUN
cana-4447	374	6	issn	issn	NOUN
cana-4447	374	7	:	:	PUNCT
cana-4447	374	8	1074	1074	NUM
cana-4447	374	9	-	-	PUNCT
cana-4447	374	10	133x	133x	NUM
cana-4447	374	11	vol	vol	NOUN
cana-4447	374	12	32	32	NUM
cana-4447	374	13	no	no	NOUN
cana-4447	374	14	.	.	PUNCT
cana-4447	375	1	9s	9s	NUM
cana-4447	375	2	(	(	PUNCT
cana-4447	375	3	2025	2025	NUM
cana-4447	375	4	)	)	PUNCT
cana-4447	375	5	2070	2070	NUM
cana-4447	376	1	https://internationalpubls.com	https://internationalpubls.com	X
cana-4447	376	2	figure	figure	NOUN
cana-4447	376	3	13	13	NUM
cana-4447	376	4	.	.	PUNCT
cana-4447	377	1	for	for	ADP
cana-4447	377	2	the	the	DET
cana-4447	377	3	experiment	experiment	NOUN
cana-4447	377	4	ucf-101	ucf-101	PROPN
cana-4447	377	5	cctv	cctv	PROPN
cana-4447	377	6	footage	footage	PROPN
cana-4447	377	7	surveillance	surveillance	NOUN
cana-4447	377	8	video	video	NOUN
cana-4447	377	9	frames	frame	VERB
cana-4447	377	10	obstacles	obstacle	NOUN
cana-4447	377	11	from	from	ADP
cana-4447	377	12	left	left	ADJ
cana-4447	377	13	to	to	ADP
cana-4447	377	14	right	right	VERB
cana-4447	377	15	the	the	DET
cana-4447	377	16	proposed	propose	VERB
cana-4447	377	17	methodology	methodology	NOUN
cana-4447	377	18	was	be	AUX
cana-4447	377	19	evaluated	evaluate	VERB
cana-4447	377	20	using	use	VERB
cana-4447	377	21	a	a	PRON
cana-4447	377	22	)	)	PUNCT
cana-4447	377	23	a	a	DET
cana-4447	377	24	limited	limited	ADJ
cana-4447	377	25	dataset	dataset	NOUN
cana-4447	377	26	of	of	ADP
cana-4447	377	27	200	200	NUM
cana-4447	377	28	videos	video	NOUN
cana-4447	377	29	and	and	CCONJ
cana-4447	377	30	b	b	X
cana-4447	377	31	)	)	PUNCT
cana-4447	377	32	an	an	DET
cana-4447	377	33	extensive	extensive	ADJ
cana-4447	377	34	dataset	dataset	NOUN
cana-4447	377	35	of	of	ADP
cana-4447	377	36	950	950	NUM
cana-4447	377	37	videos	video	NOUN
cana-4447	377	38	for	for	ADP
cana-4447	377	39	human	human	ADJ
cana-4447	377	40	activity	activity	NOUN
cana-4447	377	41	prediction	prediction	NOUN
cana-4447	377	42	.	.	PUNCT
cana-4447	378	1	a	a	PRON
cana-4447	378	2	)	)	PUNCT
cana-4447	378	3	the	the	DET
cana-4447	378	4	small	small	ADJ
cana-4447	378	5	number	number	NOUN
cana-4447	378	6	of	of	ADP
cana-4447	378	7	data	datum	NOUN
cana-4447	378	8	samples	sample	NOUN
cana-4447	378	9	:	:	PUNCT
cana-4447	378	10	200	200	NUM
cana-4447	378	11	videos	video	NOUN
cana-4447	378	12	have	have	AUX
cana-4447	378	13	been	be	AUX
cana-4447	378	14	utilized	utilize	VERB
cana-4447	378	15	for	for	ADP
cana-4447	378	16	human	human	ADJ
cana-4447	378	17	crime	crime	NOUN
cana-4447	378	18	activity	activity	NOUN
cana-4447	378	19	prediction	prediction	NOUN
cana-4447	378	20	(	(	PUNCT
cana-4447	378	21	hap	hap	NOUN
cana-4447	378	22	)	)	PUNCT
cana-4447	378	23	encompassing	encompass	VERB
cana-4447	378	24	shooting	shooting	NOUN
cana-4447	378	25	,	,	PUNCT
cana-4447	378	26	fighting	fighting	NOUN
cana-4447	378	27	,	,	PUNCT
cana-4447	378	28	and	and	CCONJ
cana-4447	378	29	kicking	kicking	NOUN
cana-4447	378	30	.	.	PUNCT
cana-4447	379	1	the	the	DET
cana-4447	379	2	novel	novel	ADJ
cana-4447	379	3	hap	hap	NOUN
cana-4447	379	4	algorithm	algorithm	NOUN
cana-4447	379	5	with	with	ADP
cana-4447	379	6	the	the	DET
cana-4447	379	7	kalman	kalman	PROPN
cana-4447	379	8	filter	filter	PROPN
cana-4447	379	9	(	(	PUNCT
cana-4447	379	10	kf	kf	NOUN
cana-4447	379	11	)	)	PUNCT
cana-4447	379	12	algorithm	algorithm	PROPN
cana-4447	379	13	,	,	PUNCT
cana-4447	379	14	mpp	mpp	NOUN
cana-4447	379	15	framework	framework	NOUN
cana-4447	379	16	,	,	PUNCT
cana-4447	379	17	and	and	CCONJ
cana-4447	379	18	template	template	NOUN
cana-4447	379	19	matching	match	VERB
cana-4447	379	20	statistical	statistical	ADJ
cana-4447	379	21	approaches	approach	NOUN
cana-4447	379	22	(	(	PUNCT
cana-4447	379	23	tmsa	tmsa	NOUN
cana-4447	379	24	)	)	PUNCT
cana-4447	379	25	were	be	AUX
cana-4447	379	26	used	use	VERB
cana-4447	379	27	to	to	PART
cana-4447	379	28	analyze	analyze	VERB
cana-4447	379	29	a	a	DET
cana-4447	379	30	dataset	dataset	NOUN
cana-4447	379	31	that	that	PRON
cana-4447	379	32	included	include	VERB
cana-4447	379	33	100	100	NUM
cana-4447	379	34	videos	video	NOUN
cana-4447	379	35	of	of	ADP
cana-4447	379	36	criminal	criminal	ADJ
cana-4447	379	37	conduct	conduct	NOUN
cana-4447	379	38	and	and	CCONJ
cana-4447	379	39	100	100	NUM
cana-4447	379	40	videos	video	NOUN
cana-4447	379	41	of	of	ADP
cana-4447	379	42	non	non	ADJ
cana-4447	379	43	-	-	ADJ
cana-4447	379	44	criminal	criminal	ADJ
cana-4447	379	45	activity	activity	NOUN
cana-4447	379	46	.	.	PUNCT
cana-4447	380	1	the	the	DET
cana-4447	380	2	obtained	obtain	VERB
cana-4447	380	3	true	true	ADJ
cana-4447	380	4	positive	positive	ADJ
cana-4447	380	5	(	(	PUNCT
cana-4447	380	6	tp	tp	NOUN
cana-4447	380	7	)	)	PUNCT
cana-4447	380	8	is	be	AUX
cana-4447	380	9	96	96	NUM
cana-4447	380	10	,	,	PUNCT
cana-4447	380	11	true	true	ADJ
cana-4447	380	12	negative	negative	ADJ
cana-4447	380	13	(	(	PUNCT
cana-4447	380	14	tn	tn	NOUN
cana-4447	380	15	)	)	PUNCT
cana-4447	380	16	is	be	AUX
cana-4447	380	17	94	94	NUM
cana-4447	380	18	,	,	PUNCT
cana-4447	380	19	false	false	ADJ
cana-4447	380	20	positive	positive	ADJ
cana-4447	380	21	(	(	PUNCT
cana-4447	380	22	fp	fp	X
cana-4447	380	23	)	)	PUNCT
cana-4447	380	24	is	be	AUX
cana-4447	380	25	6	6	NUM
cana-4447	380	26	,	,	PUNCT
cana-4447	380	27	and	and	CCONJ
cana-4447	380	28	false	false	ADJ
cana-4447	380	29	negative	negative	ADJ
cana-4447	380	30	(	(	PUNCT
cana-4447	380	31	fn	fn	NOUN
cana-4447	380	32	)	)	PUNCT
cana-4447	380	33	is	be	AUX
cana-4447	380	34	4	4	NUM
cana-4447	380	35	.	.	PUNCT
cana-4447	381	1	the	the	DET
cana-4447	381	2	algorithm	algorithm	NOUN
cana-4447	381	3	’s	’s	PART
cana-4447	381	4	performance	performance	NOUN
cana-4447	381	5	is	be	AUX
cana-4447	381	6	evaluated	evaluate	VERB
cana-4447	381	7	by	by	ADP
cana-4447	381	8	the	the	DET
cana-4447	381	9	tpr	tpr	NOUN
cana-4447	381	10	(	(	PUNCT
cana-4447	381	11	true	true	ADJ
cana-4447	381	12	positive	positive	ADJ
cana-4447	381	13	rate	rate	NOUN
cana-4447	381	14	)	)	PUNCT
cana-4447	381	15	,	,	PUNCT
cana-4447	381	16	tnr	tnr	PROPN
cana-4447	381	17	(	(	PUNCT
cana-4447	381	18	true	true	ADJ
cana-4447	381	19	negative	negative	ADJ
cana-4447	381	20	rate	rate	NOUN
cana-4447	381	21	)	)	PUNCT
cana-4447	381	22	,	,	PUNCT
cana-4447	381	23	fpr	fpr	X
cana-4447	381	24	(	(	PUNCT
cana-4447	381	25	false	false	ADJ
cana-4447	381	26	positive	positive	ADJ
cana-4447	381	27	rate	rate	NOUN
cana-4447	381	28	)	)	PUNCT
cana-4447	381	29	,	,	PUNCT
cana-4447	381	30	fnr	fnr	PROPN
cana-4447	381	31	(	(	PUNCT
cana-4447	381	32	false	false	ADJ
cana-4447	381	33	negative	negative	ADJ
cana-4447	381	34	rate	rate	NOUN
cana-4447	381	35	)	)	PUNCT
cana-4447	381	36	,	,	PUNCT
cana-4447	381	37	accuracy	accuracy	NOUN
cana-4447	381	38	,	,	PUNCT
cana-4447	381	39	precision	precision	NOUN
cana-4447	381	40	,	,	PUNCT
cana-4447	381	41	recall	recall	NOUN
cana-4447	381	42	,	,	PUNCT
cana-4447	381	43	and	and	CCONJ
cana-4447	381	44	f1	f1	NOUN
cana-4447	381	45	-	-	PUNCT
cana-4447	381	46	score	score	NOUN
cana-4447	381	47	.	.	PUNCT
cana-4447	382	1	the	the	DET
cana-4447	382	2	obtained	obtain	VERB
cana-4447	382	3	tpr	tpr	NOUN
cana-4447	382	4	is	be	AUX
cana-4447	382	5	96	96	NUM
cana-4447	382	6	%	%	NOUN
cana-4447	382	7	,	,	PUNCT
cana-4447	382	8	the	the	DET
cana-4447	382	9	fpr	fpr	NOUN
cana-4447	382	10	is	be	AUX
cana-4447	382	11	6	6	NUM
cana-4447	382	12	%	%	NOUN
cana-4447	382	13	,	,	PUNCT
cana-4447	382	14	the	the	DET
cana-4447	382	15	fnr	fnr	PROPN
cana-4447	382	16	is	be	AUX
cana-4447	382	17	4	4	NUM
cana-4447	382	18	%	%	NOUN
cana-4447	382	19	,	,	PUNCT
cana-4447	382	20	the	the	DET
cana-4447	382	21	tnr	tnr	PROPN
cana-4447	382	22	is	be	AUX
cana-4447	382	23	94	94	NUM
cana-4447	382	24	%	%	NOUN
cana-4447	382	25	,	,	PUNCT
cana-4447	382	26	the	the	DET
cana-4447	382	27	accuracy	accuracy	NOUN
cana-4447	382	28	is	be	AUX
cana-4447	382	29	95	95	NUM
cana-4447	382	30	%	%	NOUN
cana-4447	382	31	,	,	PUNCT
cana-4447	382	32	the	the	DET
cana-4447	382	33	precision	precision	NOUN
cana-4447	382	34	is	be	AUX
cana-4447	382	35	94.11	94.11	NUM
cana-4447	382	36	%	%	NOUN
cana-4447	382	37	,	,	PUNCT
cana-4447	382	38	the	the	DET
cana-4447	382	39	recall	recall	NOUN
cana-4447	382	40	is	be	AUX
cana-4447	382	41	96	96	NUM
cana-4447	382	42	%	%	NOUN
cana-4447	382	43	,	,	PUNCT
cana-4447	382	44	and	and	CCONJ
cana-4447	382	45	the	the	DET
cana-4447	382	46	f1score	f1score	NOUN
cana-4447	382	47	is	be	AUX
cana-4447	382	48	95	95	NUM
cana-4447	382	49	%	%	NOUN
cana-4447	382	50	.	.	PUNCT
cana-4447	383	1	the	the	DET
cana-4447	383	2	findings	finding	NOUN
cana-4447	383	3	of	of	ADP
cana-4447	383	4	the	the	DET
cana-4447	383	5	confusion	confusion	NOUN
cana-4447	383	6	metrics	metric	NOUN
cana-4447	383	7	and	and	CCONJ
cana-4447	383	8	performance	performance	NOUN
cana-4447	383	9	measurements	measurement	NOUN
cana-4447	383	10	are	be	AUX
cana-4447	383	11	presented	present	VERB
cana-4447	383	12	in	in	ADP
cana-4447	383	13	table	table	NOUN
cana-4447	383	14	6	6	NUM
cana-4447	383	15	.	.	PUNCT
cana-4447	384	1	b	b	X
cana-4447	384	2	)	)	PUNCT
cana-4447	384	3	a	a	DET
cana-4447	384	4	large	large	ADJ
cana-4447	384	5	number	number	NOUN
cana-4447	384	6	of	of	ADP
cana-4447	384	7	data	data	NOUN
cana-4447	384	8	samples	sample	NOUN
cana-4447	384	9	:	:	PUNCT
cana-4447	384	10	950	950	NUM
cana-4447	384	11	videos	video	NOUN
cana-4447	384	12	have	have	AUX
cana-4447	384	13	been	be	AUX
cana-4447	384	14	considered	consider	VERB
cana-4447	384	15	for	for	ADP
cana-4447	384	16	human	human	ADJ
cana-4447	384	17	crime	crime	NOUN
cana-4447	384	18	activity	activity	NOUN
cana-4447	384	19	prediction	prediction	NOUN
cana-4447	384	20	(	(	PUNCT
cana-4447	384	21	hap	hap	NOUN
cana-4447	384	22	)	)	PUNCT
cana-4447	384	23	encompassing	encompass	VERB
cana-4447	384	24	shooting	shooting	NOUN
cana-4447	384	25	,	,	PUNCT
cana-4447	384	26	fighting	fighting	NOUN
cana-4447	384	27	,	,	PUNCT
cana-4447	384	28	and	and	CCONJ
cana-4447	384	29	kicking	kicking	NOUN
cana-4447	384	30	.	.	PUNCT
cana-4447	385	1	a	a	DET
cana-4447	385	2	dataset	dataset	NOUN
cana-4447	385	3	with	with	ADP
cana-4447	385	4	475	475	NUM
cana-4447	385	5	crime	crime	NOUN
cana-4447	385	6	activities	activity	NOUN
cana-4447	385	7	and	and	CCONJ
cana-4447	385	8	475	475	NUM
cana-4447	385	9	no	no	DET
cana-4447	385	10	-	-	PUNCT
cana-4447	385	11	crime	crime	NOUN
cana-4447	385	12	activities	activity	NOUN
cana-4447	385	13	videos	video	NOUN
cana-4447	385	14	was	be	AUX
cana-4447	385	15	considered	consider	VERB
cana-4447	385	16	and	and	CCONJ
cana-4447	385	17	applied	apply	VERB
cana-4447	385	18	the	the	DET
cana-4447	385	19	novelhap	novelhap	ADJ
cana-4447	385	20	algorithm	algorithm	NOUN
cana-4447	385	21	with	with	ADP
cana-4447	385	22	kff	kff	PROPN
cana-4447	385	23	,	,	PUNCT
cana-4447	385	24	mpp	mpp	PROPN
cana-4447	385	25	,	,	PUNCT
cana-4447	385	26	and	and	CCONJ
cana-4447	385	27	tmsa	tmsa	NOUN
cana-4447	385	28	.	.	PUNCT
cana-4447	386	1	the	the	DET
cana-4447	386	2	obtained	obtain	VERB
cana-4447	386	3	tp	tp	NOUN
cana-4447	386	4	is	be	AUX
cana-4447	386	5	460	460	NUM
cana-4447	386	6	,	,	PUNCT
cana-4447	386	7	tn	tn	PROPN
cana-4447	386	8	is	be	AUX
cana-4447	386	9	462	462	NUM
cana-4447	386	10	,	,	PUNCT
cana-4447	386	11	fp	fp	X
cana-4447	386	12	is	be	AUX
cana-4447	386	13	13	13	NUM
cana-4447	386	14	,	,	PUNCT
cana-4447	386	15	and	and	CCONJ
cana-4447	386	16	fn	fn	NOUN
cana-4447	386	17	is	be	AUX
cana-4447	386	18	15	15	NUM
cana-4447	386	19	.	.	PUNCT
cana-4447	387	1	the	the	DET
cana-4447	387	2	obtained	obtain	VERB
cana-4447	387	3	tpr	tpr	NOUN
cana-4447	387	4	is	be	AUX
cana-4447	387	5	96	96	NUM
cana-4447	387	6	%	%	NOUN
cana-4447	387	7	,	,	PUNCT
cana-4447	387	8	the	the	DET
cana-4447	387	9	fpr	fpr	NOUN
cana-4447	387	10	is	be	AUX
cana-4447	387	11	3	3	NUM
cana-4447	387	12	%	%	NOUN
cana-4447	387	13	,	,	PUNCT
cana-4447	387	14	the	the	DET
cana-4447	387	15	fnr	fnr	PROPN
cana-4447	387	16	is	be	AUX
cana-4447	387	17	4	4	NUM
cana-4447	387	18	%	%	NOUN
cana-4447	387	19	,	,	PUNCT
cana-4447	387	20	the	the	DET
cana-4447	387	21	tnr	tnr	PROPN
cana-4447	387	22	is	be	AUX
cana-4447	387	23	96.53	96.53	NUM
cana-4447	387	24	%	%	NOUN
cana-4447	387	25	,	,	PUNCT
cana-4447	387	26	the	the	DET
cana-4447	387	27	accuracy	accuracy	NOUN
cana-4447	387	28	is	be	AUX
cana-4447	387	29	96.01	96.01	NUM
cana-4447	387	30	%	%	NOUN
cana-4447	387	31	,	,	PUNCT
cana-4447	387	32	the	the	DET
cana-4447	387	33	precision	precision	NOUN
cana-4447	387	34	is	be	AUX
cana-4447	387	35	96.51	96.51	NUM
cana-4447	387	36	%	%	NOUN
cana-4447	387	37	,	,	PUNCT
cana-4447	387	38	the	the	DET
cana-4447	387	39	recall	recall	NOUN
cana-4447	387	40	is	be	AUX
cana-4447	387	41	96	96	NUM
cana-4447	387	42	%	%	NOUN
cana-4447	387	43	,	,	PUNCT
cana-4447	387	44	and	and	CCONJ
cana-4447	387	45	the	the	DET
cana-4447	387	46	f1	f1	NOUN
cana-4447	387	47	-	-	PUNCT
cana-4447	387	48	score	score	NOUN
cana-4447	387	49	is	be	AUX
cana-4447	387	50	96.25	96.25	NUM
cana-4447	387	51	%	%	NOUN
cana-4447	387	52	.	.	PUNCT
cana-4447	388	1	table	table	NOUN
cana-4447	388	2	6	6	NUM
cana-4447	388	3	reports	report	VERB
cana-4447	388	4	the	the	DET
cana-4447	388	5	outcomes	outcome	NOUN
cana-4447	388	6	of	of	ADP
cana-4447	388	7	performance	performance	NOUN
cana-4447	388	8	measures	measure	NOUN
cana-4447	388	9	and	and	CCONJ
cana-4447	388	10	confusion	confusion	NOUN
cana-4447	388	11	metrics	metric	NOUN
cana-4447	388	12	.	.	PUNCT
cana-4447	389	1	table	table	NOUN
cana-4447	389	2	6	6	NUM
cana-4447	389	3	.	.	PUNCT
cana-4447	390	1	results	result	NOUN
cana-4447	390	2	of	of	ADP
cana-4447	390	3	the	the	DET
cana-4447	390	4	novelhap	novelhap	NOUN
cana-4447	390	5	on	on	ADP
cana-4447	390	6	the	the	DET
cana-4447	390	7	ucf-101	ucf-101	PROPN
cana-4447	390	8	dataset	dataset	NOUN
cana-4447	390	9	using	use	VERB
cana-4447	390	10	kf	kf	PROPN
cana-4447	390	11	,	,	PUNCT
cana-4447	390	12	mpp	mpp	PROPN
cana-4447	390	13	,	,	PUNCT
cana-4447	390	14	and	and	CCONJ
cana-4447	390	15	tmsa	tmsa	NOUN
cana-4447	390	16	dataset	dataset	ADJ
cana-4447	390	17	no	no	INTJ
cana-4447	390	18	.	.	PUNCT
cana-4447	390	19	of	of	ADP
cana-4447	390	20	video	video	NOUN
cana-4447	390	21	samples	sample	NOUN
cana-4447	390	22	in	in	ADP
cana-4447	390	23	each	each	DET
cana-4447	390	24	class	class	NOUN
cana-4447	390	25	tp	tp	ADP
cana-4447	390	26	fp	fp	PROPN
cana-4447	390	27	tn	tn	PROPN
cana-4447	390	28	fn	fn	PROPN
cana-4447	390	29	tpr	tpr	PROPN
cana-4447	390	30	%	%	NOUN
cana-4447	390	31	tnr	tnr	PROPN
cana-4447	390	32	%	%	INTJ
cana-4447	390	33	fpr	fpr	NOUN
cana-4447	390	34	%	%	NOUN
cana-4447	391	1	fnr	fnr	PROPN
cana-4447	391	2	%	%	NOUN
cana-4447	391	3	accuracy	accuracy	NOUN
cana-4447	391	4	%	%	NOUN
cana-4447	391	5	precision	precision	NOUN
cana-4447	391	6	%	%	NOUN
cana-4447	391	7	recall	recall	NOUN
cana-4447	391	8	%	%	NOUN
cana-4447	391	9	f1	f1	PROPN
cana-4447	391	10	score	score	NOUN
cana-4447	391	11	%	%	NOUN
cana-4447	391	12	tested	test	VERB
cana-4447	391	13	on	on	ADP
cana-4447	391	14	:	:	PUNCT
cana-4447	391	15	small	small	ADJ
cana-4447	391	16	number	number	NOUN
cana-4447	391	17	of	of	ADP
cana-4447	391	18	data	data	NOUN
cana-4447	391	19	samples	sample	NOUN
cana-4447	391	20	human	human	ADJ
cana-4447	391	21	crime	crime	NOUN
cana-4447	391	22	activity	activity	NOUN
cana-4447	391	23	prediction	prediction	NOUN
cana-4447	391	24	(	(	PUNCT
cana-4447	391	25	hap	hap	NOUN
cana-4447	391	26	)	)	PUNCT
cana-4447	391	27	novelhap	novelhap	ADJ
cana-4447	391	28	algorithm	algorithm	NOUN
cana-4447	391	29	:	:	PUNCT
cana-4447	391	30	kf	kf	PROPN
cana-4447	391	31	,	,	PUNCT
cana-4447	391	32	mpp	mpp	PROPN
cana-4447	391	33	,	,	PUNCT
cana-4447	391	34	and	and	CCONJ
cana-4447	391	35	tmsa	tmsa	NOUN
cana-4447	391	36	crime	crime	NOUN
cana-4447	391	37	activities	activity	NOUN
cana-4447	391	38	no	no	DET
cana-4447	391	39	crime	crime	NOUN
cana-4447	391	40	activities	activitie	VERB
cana-4447	391	41	communications	communication	NOUN
cana-4447	391	42	on	on	ADP
cana-4447	391	43	applied	apply	VERB
cana-4447	391	44	nonlinear	nonlinear	ADJ
cana-4447	391	45	analysis	analysis	NOUN
cana-4447	391	46	issn	issn	NOUN
cana-4447	391	47	:	:	PUNCT
cana-4447	391	48	1074	1074	NUM
cana-4447	391	49	-	-	PUNCT
cana-4447	391	50	133x	133x	NUM
cana-4447	391	51	vol	vol	NOUN
cana-4447	391	52	32	32	NUM
cana-4447	391	53	no	no	NOUN
cana-4447	391	54	.	.	PUNCT
cana-4447	392	1	9s	9s	NUM
cana-4447	392	2	(	(	PUNCT
cana-4447	392	3	2025	2025	NUM
cana-4447	392	4	)	)	PUNCT
cana-4447	392	5	2071	2071	NUM
cana-4447	392	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-4447	392	7	ucf-101	ucf-101	VERB
cana-4447	392	8	200	200	NUM
cana-4447	392	9	videos	video	NOUN
cana-4447	392	10	100	100	NUM
cana-4447	392	11	100	100	NUM
cana-4447	392	12	96	96	NUM
cana-4447	392	13	6	6	NUM
cana-4447	392	14	94	94	NUM
cana-4447	392	15	4	4	NUM
cana-4447	392	16	96	96	NUM
cana-4447	392	17	94	94	NUM
cana-4447	392	18	6	6	NUM
cana-4447	392	19	4	4	NUM
cana-4447	392	20	95	95	NUM
cana-4447	392	21	94.11	94.11	NUM
cana-4447	392	22	96	96	NUM
cana-4447	392	23	95	95	NUM
cana-4447	392	24	tested	test	VERB
cana-4447	392	25	on	on	ADP
cana-4447	392	26	:	:	PUNCT
cana-4447	392	27	large	large	ADJ
cana-4447	392	28	number	number	NOUN
cana-4447	392	29	of	of	ADP
cana-4447	392	30	data	data	NOUN
cana-4447	392	31	samples	sample	NOUN
cana-4447	392	32	human	human	ADJ
cana-4447	392	33	crime	crime	NOUN
cana-4447	392	34	activity	activity	NOUN
cana-4447	392	35	prediction	prediction	NOUN
cana-4447	392	36	(	(	PUNCT
cana-4447	392	37	hap	hap	NOUN
cana-4447	392	38	)	)	PUNCT
cana-4447	392	39	novelhap	novelhap	ADJ
cana-4447	392	40	algorithms	algorithm	NOUN
cana-4447	392	41	:	:	PUNCT
cana-4447	392	42	kf	kf	PROPN
cana-4447	392	43	,	,	PUNCT
cana-4447	392	44	mpp	mpp	PROPN
cana-4447	392	45	,	,	PUNCT
cana-4447	392	46	and	and	CCONJ
cana-4447	392	47	tmsa	tmsa	NOUN
cana-4447	392	48	crime	crime	NOUN
cana-4447	392	49	activities	activity	NOUN
cana-4447	392	50	no	no	DET
cana-4447	392	51	crime	crime	NOUN
cana-4447	392	52	activities	activity	NOUN
cana-4447	392	53	ucf	ucf	VERB
cana-4447	392	54	101	101	NUM
cana-4447	392	55	950	950	NUM
cana-4447	392	56	videos	video	NOUN
cana-4447	393	1	475	475	NUM
cana-4447	393	2	475	475	NUM
cana-4447	393	3	460	460	NUM
cana-4447	393	4	13	13	NUM
cana-4447	393	5	462	462	NUM
cana-4447	393	6	15	15	NUM
cana-4447	393	7	96	96	NUM
cana-4447	393	8	96.53	96.53	NUM
cana-4447	393	9	3	3	NUM
cana-4447	393	10	4	4	NUM
cana-4447	393	11	96.01	96.01	NUM
cana-4447	393	12	96.51	96.51	NUM
cana-4447	393	13	96	96	NUM
cana-4447	393	14	96.25	96.25	NUM
cana-4447	393	15	the	the	DET
cana-4447	393	16	experimental	experimental	ADJ
cana-4447	393	17	findings	finding	NOUN
cana-4447	393	18	indicated	indicate	VERB
cana-4447	393	19	that	that	SCONJ
cana-4447	393	20	the	the	DET
cana-4447	393	21	proposed	propose	VERB
cana-4447	393	22	novelhap	novelhap	ADJ
cana-4447	393	23	algorithm	algorithm	NOUN
cana-4447	393	24	with	with	ADP
cana-4447	393	25	kfa	kfa	PROPN
cana-4447	393	26	,	,	PUNCT
cana-4447	393	27	mpp	mpp	PROPN
cana-4447	393	28	,	,	PUNCT
cana-4447	393	29	and	and	CCONJ
cana-4447	393	30	tmsa	tmsa	VERB
cana-4447	393	31	for	for	ADP
cana-4447	393	32	human	human	ADJ
cana-4447	393	33	crime	crime	NOUN
cana-4447	393	34	activity	activity	NOUN
cana-4447	393	35	prediction	prediction	NOUN
cana-4447	393	36	(	(	PUNCT
cana-4447	393	37	hap	hap	NOUN
cana-4447	393	38	)	)	PUNCT
cana-4447	393	39	,	,	PUNCT
cana-4447	393	40	was	be	AUX
cana-4447	393	41	executed	execute	VERB
cana-4447	393	42	and	and	CCONJ
cana-4447	393	43	evaluated	evaluate	VERB
cana-4447	393	44	on	on	ADP
cana-4447	393	45	the	the	DET
cana-4447	393	46	ucf-101	ucf-101	ADJ
cana-4447	393	47	real	real	ADJ
cana-4447	393	48	-	-	PUNCT
cana-4447	393	49	world	world	NOUN
cana-4447	393	50	surveillance	surveillance	NOUN
cana-4447	393	51	benchmark	benchmark	NOUN
cana-4447	393	52	dataset	dataset	NOUN
cana-4447	393	53	,	,	PUNCT
cana-4447	393	54	which	which	PRON
cana-4447	393	55	includes	include	VERB
cana-4447	393	56	both	both	CCONJ
cana-4447	393	57	small	small	ADJ
cana-4447	393	58	and	and	CCONJ
cana-4447	393	59	big	big	ADJ
cana-4447	393	60	data	datum	NOUN
cana-4447	393	61	samples	sample	NOUN
cana-4447	393	62	,	,	PUNCT
cana-4447	393	63	yielded	yield	VERB
cana-4447	393	64	optimal	optimal	ADJ
cana-4447	393	65	performance	performance	NOUN
cana-4447	393	66	in	in	ADP
cana-4447	393	67	a	a	DET
cana-4447	393	68	single	single	ADJ
cana-4447	393	69	implementation	implementation	NOUN
cana-4447	393	70	.	.	PUNCT
cana-4447	394	1	compared	compare	VERB
cana-4447	394	2	to	to	ADP
cana-4447	394	3	other	other	ADJ
cana-4447	394	4	filtering	filter	VERB
cana-4447	394	5	techniques	technique	NOUN
cana-4447	394	6	,	,	PUNCT
cana-4447	394	7	such	such	ADJ
cana-4447	394	8	as	as	ADP
cana-4447	394	9	particle	particle	NOUN
cana-4447	394	10	filters	filter	NOUN
cana-4447	394	11	,	,	PUNCT
cana-4447	394	12	a	a	DET
cana-4447	394	13	kalman	kalman	NOUN
cana-4447	394	14	filter	filter	NOUN
cana-4447	394	15	has	have	VERB
cana-4447	394	16	a	a	DET
cana-4447	394	17	less	less	ADV
cana-4447	394	18	computational	computational	ADJ
cana-4447	394	19	cost	cost	NOUN
cana-4447	394	20	and	and	CCONJ
cana-4447	394	21	is	be	AUX
cana-4447	394	22	suited	suit	VERB
cana-4447	394	23	for	for	ADP
cana-4447	394	24	real	real	ADJ
cana-4447	394	25	-	-	PUNCT
cana-4447	394	26	time	time	NOUN
cana-4447	394	27	applications	application	NOUN
cana-4447	394	28	because	because	SCONJ
cana-4447	394	29	of	of	ADP
cana-4447	394	30	its	its	PRON
cana-4447	394	31	recursive	recursive	ADJ
cana-4447	394	32	nature	nature	NOUN
cana-4447	394	33	of	of	ADP
cana-4447	394	34	calculations	calculation	NOUN
cana-4447	394	35	based	base	VERB
cana-4447	394	36	on	on	ADP
cana-4447	394	37	the	the	DET
cana-4447	394	38	current	current	ADJ
cana-4447	394	39	state	state	NOUN
cana-4447	394	40	and	and	CCONJ
cana-4447	394	41	measurement	measurement	NOUN
cana-4447	394	42	.	.	PUNCT
cana-4447	395	1	kfa	kfa	PROPN
cana-4447	395	2	has	have	VERB
cana-4447	395	3	a	a	DET
cana-4447	395	4	quadratic	quadratic	ADJ
cana-4447	395	5	computational	computational	ADJ
cana-4447	395	6	complexity	complexity	NOUN
cana-4447	395	7	,	,	PUNCT
cana-4447	395	8	or	or	CCONJ
cana-4447	395	9	o(n2	o(n2	NUM
cana-4447	395	10	)	)	PUNCT
cana-4447	395	11	.	.	PUNCT
cana-4447	396	1	the	the	DET
cana-4447	396	2	mediapipe	mediapipe	NOUN
cana-4447	396	3	pose	pose	NOUN
cana-4447	396	4	(	(	PUNCT
cana-4447	396	5	mpp	mpp	NOUN
cana-4447	396	6	)	)	PUNCT
cana-4447	396	7	framework	framework	NOUN
cana-4447	396	8	reduces	reduce	VERB
cana-4447	396	9	computing	computing	NOUN
cana-4447	396	10	costs	cost	NOUN
cana-4447	396	11	and	and	CCONJ
cana-4447	396	12	does	do	VERB
cana-4447	396	13	away	away	ADV
cana-4447	396	14	with	with	ADP
cana-4447	396	15	the	the	DET
cana-4447	396	16	need	need	NOUN
cana-4447	396	17	for	for	ADP
cana-4447	396	18	manual	manual	ADJ
cana-4447	396	19	implementation	implementation	NOUN
cana-4447	396	20	by	by	ADP
cana-4447	396	21	integrating	integrate	VERB
cana-4447	396	22	an	an	DET
cana-4447	396	23	automatic	automatic	ADJ
cana-4447	396	24	pre	pre	ADJ
cana-4447	396	25	-	-	ADJ
cana-4447	396	26	processing	processing	ADJ
cana-4447	396	27	technique	technique	NOUN
cana-4447	396	28	for	for	ADP
cana-4447	396	29	video	video	NOUN
cana-4447	396	30	data	datum	NOUN
cana-4447	396	31	.	.	PUNCT
cana-4447	397	1	additionally	additionally	ADV
cana-4447	397	2	,	,	PUNCT
cana-4447	397	3	in	in	ADP
cana-4447	397	4	a	a	DET
cana-4447	397	5	variety	variety	NOUN
cana-4447	397	6	of	of	ADP
cana-4447	397	7	intricate	intricate	ADJ
cana-4447	397	8	scenarios	scenario	NOUN
cana-4447	397	9	,	,	PUNCT
cana-4447	397	10	mpp	mpp	PROPN
cana-4447	397	11	can	can	AUX
cana-4447	397	12	predict	predict	VERB
cana-4447	397	13	human	human	ADJ
cana-4447	397	14	landmarks	landmark	NOUN
cana-4447	397	15	when	when	SCONJ
cana-4447	397	16	they	they	PRON
cana-4447	397	17	overlap	overlap	VERB
cana-4447	397	18	with	with	ADP
cana-4447	397	19	other	other	ADJ
cana-4447	397	20	things	thing	NOUN
cana-4447	397	21	,	,	PUNCT
cana-4447	397	22	etc	etc	X
cana-4447	397	23	.	.	X
cana-4447	397	24	,	,	PUNCT
cana-4447	397	25	with	with	ADP
cana-4447	397	26	constant	constant	ADJ
cana-4447	397	27	time	time	NOUN
cana-4447	397	28	.	.	PUNCT
cana-4447	398	1	in	in	ADP
cana-4447	398	2	the	the	DET
cana-4447	398	3	novelhap	novelhap	ADJ
cana-4447	398	4	algorithm	algorithm	NOUN
cana-4447	398	5	's	's	PART
cana-4447	398	6	process	process	NOUN
cana-4447	398	7	,	,	PUNCT
cana-4447	398	8	kfa	kfa	PROPN
cana-4447	398	9	initially	initially	ADV
cana-4447	398	10	identifies	identify	VERB
cana-4447	398	11	the	the	DET
cana-4447	398	12	closest	close	ADJ
cana-4447	398	13	humans	human	NOUN
cana-4447	398	14	in	in	ADP
cana-4447	398	15	the	the	DET
cana-4447	398	16	video	video	NOUN
cana-4447	398	17	frames	frame	NOUN
cana-4447	398	18	to	to	ADP
cana-4447	398	19	one	one	NUM
cana-4447	398	20	another	another	DET
cana-4447	398	21	.	.	PUNCT
cana-4447	399	1	the	the	DET
cana-4447	399	2	experiment	experiment	NOUN
cana-4447	399	3	uses	use	VERB
cana-4447	399	4	950	950	NUM
cana-4447	399	5	videos	video	NOUN
cana-4447	399	6	,	,	PUNCT
cana-4447	399	7	each	each	PRON
cana-4447	399	8	having	have	VERB
cana-4447	399	9	a	a	DET
cana-4447	399	10	duration	duration	NOUN
cana-4447	399	11	of	of	ADP
cana-4447	399	12	90	90	NUM
cana-4447	399	13	seconds	second	NOUN
cana-4447	399	14	,	,	PUNCT
cana-4447	399	15	the	the	DET
cana-4447	399	16	calculation	calculation	NOUN
cana-4447	399	17	for	for	ADP
cana-4447	399	18	a	a	DET
cana-4447	399	19	single	single	ADJ
cana-4447	399	20	video	video	NOUN
cana-4447	399	21	yields	yield	NOUN
cana-4447	399	22	90	90	NUM
cana-4447	399	23	seconds	second	NOUN
cana-4447	399	24	multiplied	multiply	VERB
cana-4447	399	25	by	by	ADP
cana-4447	399	26	24	24	NUM
cana-4447	399	27	frames	frame	NOUN
cana-4447	399	28	per	per	ADP
cana-4447	399	29	second	second	NOUN
cana-4447	399	30	,	,	PUNCT
cana-4447	399	31	resulting	result	VERB
cana-4447	399	32	in	in	ADP
cana-4447	399	33	2,160	2,160	NUM
cana-4447	399	34	frames	frame	NOUN
cana-4447	399	35	.	.	PUNCT
cana-4447	400	1	for	for	ADP
cana-4447	400	2	950	950	NUM
cana-4447	400	3	videos	video	NOUN
cana-4447	400	4	,	,	PUNCT
cana-4447	400	5	the	the	DET
cana-4447	400	6	total	total	NOUN
cana-4447	400	7	is	be	AUX
cana-4447	400	8	2,160	2,160	NUM
cana-4447	400	9	frames	frame	NOUN
cana-4447	400	10	multiplied	multiply	VERB
cana-4447	400	11	by	by	ADP
cana-4447	400	12	950	950	NUM
cana-4447	400	13	,	,	PUNCT
cana-4447	400	14	equating	equate	VERB
cana-4447	400	15	to	to	ADP
cana-4447	400	16	20,52,000	20,52,000	NUM
cana-4447	400	17	video	video	NOUN
cana-4447	400	18	frames	frame	NOUN
cana-4447	400	19	.	.	PUNCT
cana-4447	401	1	kfa	kfa	PROPN
cana-4447	401	2	extracted	extract	VERB
cana-4447	401	3	a	a	DET
cana-4447	401	4	single	single	ADJ
cana-4447	401	5	frame	frame	NOUN
cana-4447	401	6	from	from	ADP
cana-4447	401	7	a	a	DET
cana-4447	401	8	single	single	ADJ
cana-4447	401	9	video	video	NOUN
cana-4447	401	10	,	,	PUNCT
cana-4447	401	11	depicting	depict	VERB
cana-4447	401	12	persons	person	NOUN
cana-4447	401	13	near	near	ADP
cana-4447	401	14	one	one	NUM
cana-4447	401	15	another	another	DET
cana-4447	401	16	.	.	PUNCT
cana-4447	402	1	ultimately	ultimately	ADV
cana-4447	402	2	,	,	PUNCT
cana-4447	402	3	out	out	ADP
cana-4447	402	4	of	of	ADP
cana-4447	402	5	20,52,000	20,52,000	NUM
cana-4447	402	6	video	video	NOUN
cana-4447	402	7	frames	frame	NOUN
cana-4447	402	8	,	,	PUNCT
cana-4447	402	9	only	only	ADV
cana-4447	402	10	950	950	NUM
cana-4447	402	11	frames	frame	NOUN
cana-4447	402	12	were	be	AUX
cana-4447	402	13	transferred	transfer	VERB
cana-4447	402	14	to	to	ADP
cana-4447	402	15	mpp	mpp	PROPN
cana-4447	402	16	(	(	PUNCT
cana-4447	402	17	phase-2	phase-2	PROPN
cana-4447	402	18	)	)	PUNCT
cana-4447	402	19	.	.	PUNCT
cana-4447	403	1	the	the	DET
cana-4447	403	2	mpp	mpp	NOUN
cana-4447	403	3	predicts	predict	VERB
cana-4447	403	4	one	one	NUM
cana-4447	403	5	human	human	ADJ
cana-4447	403	6	posture	posture	NOUN
cana-4447	403	7	and	and	CCONJ
cana-4447	403	8	the	the	DET
cana-4447	403	9	landmarks	landmark	NOUN
cana-4447	403	10	(	(	PUNCT
cana-4447	403	11	0–32	0–32	NOUN
cana-4447	403	12	)	)	PUNCT
cana-4447	403	13	of	of	ADP
cana-4447	403	14	each	each	DET
cana-4447	403	15	frame	frame	NOUN
cana-4447	403	16	.	.	PUNCT
cana-4447	404	1	the	the	DET
cana-4447	404	2	euclidean	euclidean	ADJ
cana-4447	404	3	distance	distance	NOUN
cana-4447	404	4	from	from	ADP
cana-4447	404	5	d1	d1	PROPN
cana-4447	404	6	to	to	ADP
cana-4447	404	7	d10	d10	PROPN
cana-4447	404	8	for	for	ADP
cana-4447	404	9	training	training	NOUN
cana-4447	404	10	and	and	CCONJ
cana-4447	404	11	test	test	NOUN
cana-4447	404	12	vectors	vector	NOUN
cana-4447	404	13	is	be	AUX
cana-4447	404	14	determined	determine	VERB
cana-4447	404	15	using	use	VERB
cana-4447	404	16	six	six	NUM
cana-4447	404	17	key	key	ADJ
cana-4447	404	18	landmarks	landmark	NOUN
cana-4447	404	19	.	.	PUNCT
cana-4447	405	1	the	the	DET
cana-4447	405	2	dimensionality	dimensionality	NOUN
cana-4447	405	3	reduction	reduction	NOUN
cana-4447	405	4	has	have	AUX
cana-4447	405	5	been	be	AUX
cana-4447	405	6	done	do	VERB
cana-4447	405	7	.	.	PUNCT
cana-4447	406	1	tmsa	tmsa	NOUN
cana-4447	406	2	calculated	calculate	VERB
cana-4447	406	3	the	the	DET
cana-4447	406	4	similarity	similarity	NOUN
cana-4447	406	5	between	between	ADP
cana-4447	406	6	sparse	sparse	ADJ
cana-4447	406	7	data	datum	NOUN
cana-4447	406	8	.	.	PUNCT
cana-4447	407	1	consequently	consequently	ADV
cana-4447	407	2	,	,	PUNCT
cana-4447	407	3	the	the	DET
cana-4447	407	4	computational	computational	ADJ
cana-4447	407	5	complexity	complexity	NOUN
cana-4447	407	6	is	be	AUX
cana-4447	407	7	quadratic	quadratic	ADJ
cana-4447	407	8	,	,	PUNCT
cana-4447	407	9	or	or	CCONJ
cana-4447	407	10	o(n2	o(n2	NUM
cana-4447	407	11	)	)	PUNCT
cana-4447	407	12	.	.	PUNCT
cana-4447	408	1	additionally	additionally	ADV
cana-4447	408	2	,	,	PUNCT
cana-4447	408	3	the	the	DET
cana-4447	408	4	suggested	suggest	VERB
cana-4447	408	5	methodology	methodology	NOUN
cana-4447	408	6	was	be	AUX
cana-4447	408	7	successfully	successfully	ADV
cana-4447	408	8	deployed	deploy	VERB
cana-4447	408	9	across	across	ADP
cana-4447	408	10	several	several	ADJ
cana-4447	408	11	platforms	platform	NOUN
cana-4447	408	12	and	and	CCONJ
cana-4447	408	13	devices	device	NOUN
cana-4447	408	14	,	,	PUNCT
cana-4447	408	15	with	with	ADP
cana-4447	408	16	repairs	repair	NOUN
cana-4447	408	17	and	and	CCONJ
cana-4447	408	18	updates	update	NOUN
cana-4447	408	19	conducted	conduct	VERB
cana-4447	408	20	as	as	SCONJ
cana-4447	408	21	issues	issue	NOUN
cana-4447	408	22	emerged	emerge	VERB
cana-4447	408	23	.	.	PUNCT
cana-4447	409	1	interoperability	interoperability	NOUN
cana-4447	409	2	,	,	PUNCT
cana-4447	409	3	compatibility	compatibility	NOUN
cana-4447	409	4	,	,	PUNCT
cana-4447	409	5	reliability	reliability	NOUN
cana-4447	409	6	,	,	PUNCT
cana-4447	409	7	and	and	CCONJ
cana-4447	409	8	maintainability	maintainability	NOUN
cana-4447	409	9	have	have	AUX
cana-4447	409	10	been	be	AUX
cana-4447	409	11	accomplished	accomplish	VERB
cana-4447	409	12	using	use	VERB
cana-4447	409	13	standard	standard	ADJ
cana-4447	409	14	methodologies	methodology	NOUN
cana-4447	409	15	kfa	kfa	PROPN
cana-4447	409	16	,	,	PUNCT
cana-4447	409	17	and	and	CCONJ
cana-4447	409	18	tmsa	tmsa	NOUN
cana-4447	409	19	in	in	ADP
cana-4447	409	20	the	the	DET
cana-4447	409	21	novelhap	novelhap	ADJ
cana-4447	409	22	algorithm	algorithm	NOUN
cana-4447	409	23	.	.	PUNCT
cana-4447	410	1	the	the	DET
cana-4447	410	2	efficacy	efficacy	NOUN
cana-4447	410	3	of	of	ADP
cana-4447	410	4	deep	deep	ADJ
cana-4447	410	5	learning	learning	NOUN
cana-4447	410	6	(	(	PUNCT
cana-4447	410	7	dl	dl	NOUN
cana-4447	410	8	)	)	PUNCT
cana-4447	410	9	algorithms	algorithm	NOUN
cana-4447	410	10	diminishes	diminish	VERB
cana-4447	410	11	when	when	SCONJ
cana-4447	410	12	executed	execute	VERB
cana-4447	410	13	with	with	ADP
cana-4447	410	14	a	a	DET
cana-4447	410	15	small	small	ADJ
cana-4447	410	16	number	number	NOUN
cana-4447	410	17	of	of	ADP
cana-4447	410	18	data	datum	NOUN
cana-4447	410	19	samples	sample	NOUN
cana-4447	410	20	.	.	PUNCT
cana-4447	411	1	the	the	DET
cana-4447	411	2	optimal	optimal	ADJ
cana-4447	411	3	result	result	NOUN
cana-4447	411	4	obtained	obtain	VERB
cana-4447	411	5	is	be	AUX
cana-4447	411	6	95	95	NUM
cana-4447	411	7	%	%	NOUN
cana-4447	411	8	utilizing	utilize	VERB
cana-4447	411	9	the	the	DET
cana-4447	411	10	ucf101	ucf101	NOUN
cana-4447	411	11	dataset	dataset	NOUN
cana-4447	411	12	,	,	PUNCT
cana-4447	411	13	as	as	SCONJ
cana-4447	411	14	this	this	DET
cana-4447	411	15	study	study	NOUN
cana-4447	411	16	shows	show	VERB
cana-4447	411	17	,	,	PUNCT
cana-4447	411	18	even	even	ADV
cana-4447	411	19	with	with	ADP
cana-4447	411	20	small	small	ADJ
cana-4447	411	21	data	data	NOUN
cana-4447	411	22	sets	set	NOUN
cana-4447	411	23	.	.	PUNCT
cana-4447	412	1	the	the	DET
cana-4447	412	2	optimal	optimal	ADJ
cana-4447	412	3	result	result	NOUN
cana-4447	412	4	achieved	achieve	VERB
cana-4447	412	5	with	with	ADP
cana-4447	412	6	the	the	DET
cana-4447	412	7	diminished	diminished	ADJ
cana-4447	412	8	computational	computational	ADJ
cana-4447	412	9	expense	expense	NOUN
cana-4447	412	10	for	for	ADP
cana-4447	412	11	human	human	ADJ
cana-4447	412	12	activity	activity	NOUN
cana-4447	412	13	prediction	prediction	NOUN
cana-4447	412	14	(	(	PUNCT
cana-4447	412	15	hap	hap	NOUN
cana-4447	412	16	)	)	PUNCT
cana-4447	412	17	is	be	AUX
cana-4447	412	18	96.01	96.01	NUM
cana-4447	412	19	%	%	NOUN
cana-4447	412	20	utilizing	utilize	VERB
cana-4447	412	21	the	the	DET
cana-4447	412	22	ucf101	ucf101	NOUN
cana-4447	412	23	dataset	dataset	NOUN
cana-4447	412	24	,	,	PUNCT
cana-4447	412	25	as	as	SCONJ
cana-4447	412	26	demonstrated	demonstrate	VERB
cana-4447	412	27	in	in	ADP
cana-4447	412	28	this	this	DET
cana-4447	412	29	work	work	NOUN
cana-4447	412	30	with	with	ADP
cana-4447	412	31	extensive	extensive	ADJ
cana-4447	412	32	datasets	dataset	NOUN
cana-4447	412	33	.	.	PUNCT
cana-4447	413	1	there	there	PRON
cana-4447	413	2	have	have	AUX
cana-4447	413	3	been	be	AUX
cana-4447	413	4	few	few	ADJ
cana-4447	413	5	false	false	ADJ
cana-4447	413	6	positives	positive	NOUN
cana-4447	413	7	and	and	CCONJ
cana-4447	413	8	false	false	ADJ
cana-4447	413	9	negatives	negative	NOUN
cana-4447	413	10	in	in	ADP
cana-4447	413	11	this	this	DET
cana-4447	413	12	study	study	NOUN
cana-4447	413	13	's	's	PART
cana-4447	413	14	analysis	analysis	NOUN
cana-4447	413	15	of	of	ADP
cana-4447	413	16	videos	video	NOUN
cana-4447	413	17	on	on	ADP
cana-4447	413	18	a	a	DET
cana-4447	413	19	variety	variety	NOUN
cana-4447	413	20	of	of	ADP
cana-4447	413	21	complex	complex	ADJ
cana-4447	413	22	scenarios	scenario	NOUN
cana-4447	413	23	where	where	SCONJ
cana-4447	413	24	machine	machine	NOUN
cana-4447	413	25	learning	learning	NOUN
cana-4447	413	26	(	(	PUNCT
cana-4447	413	27	ml	ml	NOUN
cana-4447	413	28	)	)	PUNCT
cana-4447	413	29	techniques	technique	NOUN
cana-4447	413	30	are	be	AUX
cana-4447	413	31	less	less	ADV
cana-4447	413	32	effective	effective	ADJ
cana-4447	413	33	.	.	PUNCT
cana-4447	414	1	therefore	therefore	ADV
cana-4447	414	2	,	,	PUNCT
cana-4447	414	3	the	the	DET
cana-4447	414	4	computational	computational	ADJ
cana-4447	414	5	complexity	complexity	NOUN
cana-4447	414	6	of	of	ADP
cana-4447	414	7	the	the	DET
cana-4447	414	8	novelhap	novelhap	ADJ
cana-4447	414	9	method	method	NOUN
cana-4447	414	10	for	for	ADP
cana-4447	414	11	the	the	DET
cana-4447	414	12	prediction	prediction	NOUN
cana-4447	414	13	of	of	ADP
cana-4447	414	14	human	human	ADJ
cana-4447	414	15	crime	crime	NOUN
cana-4447	414	16	activity	activity	NOUN
cana-4447	414	17	is	be	AUX
cana-4447	414	18	quadratic	quadratic	ADJ
cana-4447	414	19	,	,	PUNCT
cana-4447	414	20	i.e.	i.e.	X
cana-4447	414	21	,	,	PUNCT
cana-4447	414	22	o(n2	o(n2	ADJ
cana-4447	414	23	)	)	PUNCT
cana-4447	414	24	.	.	PUNCT
cana-4447	415	1	3.2	3.2	NUM
cana-4447	415	2	.	.	PUNCT
cana-4447	415	3	comparison	comparison	NOUN
cana-4447	415	4	with	with	ADP
cana-4447	415	5	existing	exist	VERB
cana-4447	415	6	methods	method	NOUN
cana-4447	415	7	a	a	DET
cana-4447	415	8	literature	literature	NOUN
cana-4447	415	9	survey	survey	NOUN
cana-4447	415	10	was	be	AUX
cana-4447	415	11	conducted	conduct	VERB
cana-4447	415	12	to	to	PART
cana-4447	415	13	predict	predict	VERB
cana-4447	415	14	human	human	ADJ
cana-4447	415	15	crime	crime	NOUN
cana-4447	415	16	activities	activity	NOUN
cana-4447	415	17	such	such	ADJ
cana-4447	415	18	as	as	ADP
cana-4447	415	19	shooting	shooting	NOUN
cana-4447	415	20	,	,	PUNCT
cana-4447	415	21	fighting	fighting	NOUN
cana-4447	415	22	,	,	PUNCT
cana-4447	415	23	and	and	CCONJ
cana-4447	415	24	kicking	kick	VERB
cana-4447	415	25	in	in	ADP
cana-4447	415	26	videos	video	NOUN
cana-4447	415	27	from	from	ADP
cana-4447	415	28	various	various	ADJ
cana-4447	415	29	datasets	dataset	NOUN
cana-4447	415	30	using	use	VERB
cana-4447	415	31	various	various	ADJ
cana-4447	415	32	algorithms	algorithm	NOUN
cana-4447	415	33	and	and	CCONJ
cana-4447	415	34	methodologies	methodology	NOUN
cana-4447	415	35	.	.	PUNCT
cana-4447	416	1	[	[	X
cana-4447	416	2	16	16	NUM
cana-4447	416	3	]	]	PUNCT
cana-4447	416	4	proposed	propose	VERB
cana-4447	416	5	an	an	DET
cana-4447	416	6	architecture	architecture	NOUN
cana-4447	416	7	for	for	ADP
cana-4447	416	8	video	video	NOUN
cana-4447	416	9	activity	activity	NOUN
cana-4447	416	10	prediction	prediction	NOUN
cana-4447	416	11	using	use	VERB
cana-4447	416	12	saliency	saliency	NOUN
cana-4447	416	13	-	-	PUNCT
cana-4447	416	14	aware	aware	ADJ
cana-4447	416	15	motion	motion	NOUN
cana-4447	416	16	enhancement	enhancement	NOUN
cana-4447	416	17	(	(	PUNCT
cana-4447	416	18	sme	sme	NOUN
cana-4447	416	19	)	)	PUNCT
cana-4447	416	20	with	with	ADP
cana-4447	416	21	a	a	DET
cana-4447	416	22	communications	communication	NOUN
cana-4447	416	23	on	on	ADP
cana-4447	416	24	applied	apply	VERB
cana-4447	416	25	nonlinear	nonlinear	ADJ
cana-4447	416	26	analysis	analysis	NOUN
cana-4447	416	27	issn	issn	NOUN
cana-4447	416	28	:	:	PUNCT
cana-4447	416	29	1074	1074	NUM
cana-4447	416	30	-	-	PUNCT
cana-4447	416	31	133x	133x	NUM
cana-4447	416	32	vol	vol	NOUN
cana-4447	416	33	32	32	NUM
cana-4447	416	34	no	no	NOUN
cana-4447	416	35	.	.	PUNCT
cana-4447	417	1	9s	9s	NUM
cana-4447	417	2	(	(	PUNCT
cana-4447	417	3	2025	2025	NUM
cana-4447	417	4	)	)	PUNCT
cana-4447	417	5	2072	2072	NUM
cana-4447	417	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-4447	417	7	weighted	weight	VERB
cana-4447	417	8	long	long	ADJ
cana-4447	417	9	short	short	ADJ
cana-4447	417	10	-	-	PUNCT
cana-4447	417	11	term	term	NOUN
cana-4447	417	12	memory	memory	NOUN
cana-4447	417	13	network	network	NOUN
cana-4447	417	14	(	(	PUNCT
cana-4447	417	15	wlstm	wlstm	PROPN
cana-4447	417	16	)	)	PUNCT
cana-4447	417	17	.	.	PUNCT
cana-4447	418	1	the	the	DET
cana-4447	418	2	framework	framework	NOUN
cana-4447	418	3	achieved	achieve	VERB
cana-4447	418	4	the	the	DET
cana-4447	418	5	highest	high	ADJ
cana-4447	418	6	prediction	prediction	NOUN
cana-4447	418	7	results	result	NOUN
cana-4447	418	8	of	of	ADP
cana-4447	418	9	98.3	98.3	NUM
cana-4447	418	10	%	%	NOUN
cana-4447	418	11	on	on	ADP
cana-4447	418	12	the	the	DET
cana-4447	418	13	ut	ut	PROPN
cana-4447	418	14	-	-	PUNCT
cana-4447	418	15	interaction	interaction	NOUN
cana-4447	418	16	dataset	dataset	NOUN
cana-4447	418	17	set	set	VERB
cana-4447	418	18	1	1	NUM
cana-4447	418	19	.	.	PUNCT
cana-4447	419	1	[	[	X
cana-4447	419	2	17	17	NUM
cana-4447	419	3	]	]	PUNCT
cana-4447	419	4	used	use	VERB
cana-4447	419	5	a	a	DET
cana-4447	419	6	bi	bi	ADJ
cana-4447	419	7	-	-	ADJ
cana-4447	419	8	lstm	lstm	ADJ
cana-4447	419	9	classifier	classifier	NOUN
cana-4447	419	10	with	with	ADP
cana-4447	419	11	two	two	NUM
cana-4447	419	12	tri	tri	ADJ
cana-4447	419	13	-	-	ADJ
cana-4447	419	14	axial	axial	ADJ
cana-4447	419	15	imu	imu	NOUN
cana-4447	419	16	sensors	sensor	NOUN
cana-4447	419	17	and	and	CCONJ
cana-4447	419	18	predicted	predict	VERB
cana-4447	419	19	future	future	ADJ
cana-4447	419	20	activities	activity	NOUN
cana-4447	419	21	.	.	PUNCT
cana-4447	420	1	the	the	DET
cana-4447	420	2	proposed	propose	VERB
cana-4447	420	3	hap	hap	NOUN
cana-4447	420	4	system	system	NOUN
cana-4447	420	5	predicts	predict	VERB
cana-4447	420	6	future	future	ADJ
cana-4447	420	7	actions	action	NOUN
cana-4447	420	8	with	with	ADP
cana-4447	420	9	an	an	DET
cana-4447	420	10	average	average	ADJ
cana-4447	420	11	accuracy	accuracy	NOUN
cana-4447	420	12	of	of	ADP
cana-4447	420	13	97.96	97.96	NUM
cana-4447	420	14	%	%	NOUN
cana-4447	420	15	.	.	PUNCT
cana-4447	421	1	[	[	X
cana-4447	421	2	8	8	NUM
cana-4447	421	3	]	]	PUNCT
cana-4447	421	4	proposed	propose	VERB
cana-4447	421	5	multi	multi	ADJ
cana-4447	421	6	-	-	ADJ
cana-4447	421	7	network	network	ADJ
cana-4447	421	8	fusion	fusion	NOUN
cana-4447	421	9	(	(	PUNCT
cana-4447	421	10	convnet	convnet	NOUN
cana-4447	421	11	and	and	CCONJ
cana-4447	421	12	liteflownet	liteflownet	NOUN
cana-4447	421	13	)	)	PUNCT
cana-4447	421	14	technique	technique	NOUN
cana-4447	421	15	for	for	ADP
cana-4447	421	16	detecting	detect	VERB
cana-4447	421	17	violence	violence	NOUN
cana-4447	421	18	or	or	CCONJ
cana-4447	421	19	the	the	DET
cana-4447	421	20	absence	absence	NOUN
cana-4447	421	21	of	of	ADP
cana-4447	421	22	violence	violence	NOUN
cana-4447	421	23	in	in	ADP
cana-4447	421	24	real	real	ADJ
cana-4447	421	25	-	-	PUNCT
cana-4447	421	26	world	world	NOUN
cana-4447	421	27	surveillance	surveillance	NOUN
cana-4447	421	28	.	.	PUNCT
cana-4447	422	1	the	the	DET
cana-4447	422	2	hockey	hockey	PROPN
cana-4447	422	3	fight	fight	NOUN
cana-4447	422	4	dataset	dataset	PROPN
cana-4447	422	5	achieves	achieve	VERB
cana-4447	422	6	the	the	DET
cana-4447	422	7	highest	high	ADJ
cana-4447	422	8	level	level	NOUN
cana-4447	422	9	of	of	ADP
cana-4447	422	10	accuracy	accuracy	NOUN
cana-4447	422	11	at	at	ADP
cana-4447	422	12	98.62	98.62	NUM
cana-4447	422	13	%	%	NOUN
cana-4447	422	14	.	.	PUNCT
cana-4447	423	1	[	[	X
cana-4447	423	2	14	14	NUM
cana-4447	423	3	]	]	PUNCT
cana-4447	423	4	proposed	propose	VERB
cana-4447	423	5	cnn	cnn	PROPN
cana-4447	423	6	with	with	ADP
cana-4447	423	7	an	an	DET
cana-4447	423	8	improved	improve	VERB
cana-4447	423	9	tree	tree	NOUN
cana-4447	423	10	seed	seed	NOUN
cana-4447	423	11	algorithm	algorithm	NOUN
cana-4447	423	12	for	for	ADP
cana-4447	423	13	human	human	ADJ
cana-4447	423	14	activity	activity	NOUN
cana-4447	423	15	recognition	recognition	NOUN
cana-4447	423	16	.	.	PUNCT
cana-4447	424	1	the	the	DET
cana-4447	424	2	utinteraction	utinteraction	NOUN
cana-4447	424	3	dataset	dataset	NOUN
cana-4447	424	4	produces	produce	VERB
cana-4447	424	5	the	the	DET
cana-4447	424	6	highest	high	ADJ
cana-4447	424	7	accuracy	accuracy	NOUN
cana-4447	424	8	of	of	ADP
cana-4447	424	9	100	100	NUM
cana-4447	424	10	%	%	NOUN
cana-4447	424	11	.	.	PUNCT
cana-4447	425	1	[	[	X
cana-4447	425	2	15	15	NUM
cana-4447	425	3	]	]	PUNCT
cana-4447	425	4	offer	offer	VERB
cana-4447	425	5	the	the	DET
cana-4447	425	6	convlstm	convlstm	NOUN
cana-4447	425	7	method	method	NOUN
cana-4447	425	8	,	,	PUNCT
cana-4447	425	9	lrcn	lrcn	PROPN
cana-4447	425	10	algorithm	algorithm	PROPN
cana-4447	425	11	,	,	PUNCT
cana-4447	425	12	and	and	CCONJ
cana-4447	425	13	cnn	cnn	PROPN
cana-4447	425	14	model	model	NOUN
cana-4447	425	15	to	to	PART
cana-4447	425	16	recognize	recognize	VERB
cana-4447	425	17	human	human	ADJ
cana-4447	425	18	activities	activity	NOUN
cana-4447	425	19	.	.	PUNCT
cana-4447	426	1	the	the	DET
cana-4447	426	2	cnn	cnn	PROPN
cana-4447	426	3	model	model	NOUN
cana-4447	426	4	used	use	VERB
cana-4447	426	5	the	the	DET
cana-4447	426	6	ucf50	ucf50	PROPN
cana-4447	426	7	dataset	dataset	NOUN
cana-4447	426	8	and	and	CCONJ
cana-4447	426	9	achieved	achieve	VERB
cana-4447	426	10	the	the	DET
cana-4447	426	11	highest	high	ADJ
cana-4447	426	12	accuracy	accuracy	NOUN
cana-4447	426	13	of	of	ADP
cana-4447	426	14	99.58	99.58	NUM
cana-4447	426	15	%	%	NOUN
cana-4447	426	16	.	.	PUNCT
cana-4447	427	1	[	[	X
cana-4447	427	2	10	10	NUM
cana-4447	427	3	]	]	PUNCT
cana-4447	427	4	used	use	VERB
cana-4447	427	5	the	the	DET
cana-4447	427	6	classifiers	classifier	NOUN
cana-4447	427	7	gradient	gradient	ADJ
cana-4447	427	8	boosting	boost	VERB
cana-4447	427	9	(	(	PUNCT
cana-4447	427	10	gb	gb	NOUN
cana-4447	427	11	)	)	PUNCT
cana-4447	427	12	,	,	PUNCT
cana-4447	427	13	random	random	ADJ
cana-4447	427	14	forest	forest	NOUN
cana-4447	427	15	(	(	PUNCT
cana-4447	427	16	rf	rf	NOUN
cana-4447	427	17	)	)	PUNCT
cana-4447	427	18	,	,	PUNCT
cana-4447	427	19	ridge	ridge	NOUN
cana-4447	427	20	regression	regression	PROPN
cana-4447	427	21	(	(	PUNCT
cana-4447	427	22	rr	rr	NOUN
cana-4447	427	23	)	)	PUNCT
cana-4447	427	24	,	,	PUNCT
cana-4447	427	25	and	and	CCONJ
cana-4447	427	26	logistic	logistic	ADJ
cana-4447	427	27	regression	regression	NOUN
cana-4447	427	28	(	(	PUNCT
cana-4447	427	29	lr	lr	NOUN
cana-4447	427	30	)	)	PUNCT
cana-4447	427	31	to	to	PART
cana-4447	427	32	recognize	recognize	VERB
cana-4447	427	33	the	the	DET
cana-4447	427	34	namaste	namaste	PROPN
cana-4447	427	35	,	,	PUNCT
cana-4447	427	36	standing	stand	VERB
cana-4447	427	37	,	,	PUNCT
cana-4447	427	38	bending	bend	VERB
cana-4447	427	39	down	down	ADP
cana-4447	427	40	,	,	PUNCT
cana-4447	427	41	and	and	CCONJ
cana-4447	427	42	raising	raise	VERB
cana-4447	427	43	both	both	DET
cana-4447	427	44	hands	hand	NOUN
cana-4447	427	45	,	,	PUNCT
cana-4447	427	46	types	type	NOUN
cana-4447	427	47	of	of	ADP
cana-4447	427	48	activities	activity	NOUN
cana-4447	427	49	with	with	ADP
cana-4447	427	50	98	98	NUM
cana-4447	427	51	%	%	NOUN
cana-4447	427	52	accuracy	accuracy	NOUN
cana-4447	427	53	using	use	VERB
cana-4447	427	54	the	the	DET
cana-4447	427	55	customized	customized	ADJ
cana-4447	427	56	dataset	dataset	NOUN
cana-4447	427	57	.	.	PUNCT
cana-4447	428	1	[	[	X
cana-4447	428	2	20	20	NUM
cana-4447	428	3	]	]	PUNCT
cana-4447	428	4	used	use	VERB
cana-4447	428	5	a	a	DET
cana-4447	428	6	novel	novel	ADJ
cana-4447	428	7	am	am	NOUN
cana-4447	428	8	-	-	PUNCT
cana-4447	428	9	dlfc	dlfc	NOUN
cana-4447	428	10	model	model	NOUN
cana-4447	428	11	for	for	ADP
cana-4447	428	12	har	har	NOUN
cana-4447	428	13	,	,	PUNCT
cana-4447	428	14	and	and	CCONJ
cana-4447	428	15	utilizes	utilize	VERB
cana-4447	428	16	cnn	cnn	PROPN
cana-4447	428	17	to	to	PART
cana-4447	428	18	recognize	recognize	VERB
cana-4447	428	19	run	run	NOUN
cana-4447	428	20	,	,	PUNCT
cana-4447	428	21	pick	pick	VERB
cana-4447	428	22	,	,	PUNCT
cana-4447	428	23	and	and	CCONJ
cana-4447	428	24	sit	sit	VERB
cana-4447	428	25	-	-	PUNCT
cana-4447	428	26	up	up	ADP
cana-4447	428	27	activities	activity	NOUN
cana-4447	428	28	with	with	ADP
cana-4447	428	29	97	97	NUM
cana-4447	428	30	%	%	NOUN
cana-4447	428	31	accuracy	accuracy	NOUN
cana-4447	428	32	using	use	VERB
cana-4447	428	33	the	the	DET
cana-4447	428	34	ku	ku	PROPN
cana-4447	428	35	-	-	PUNCT
cana-4447	428	36	har	har	PROPN
cana-4447	428	37	dataset	dataset	NOUN
cana-4447	428	38	.	.	PUNCT
cana-4447	429	1	[	[	X
cana-4447	429	2	23	23	NUM
cana-4447	429	3	]	]	PUNCT
cana-4447	429	4	presented	present	VERB
cana-4447	429	5	a	a	DET
cana-4447	429	6	unique	unique	ADJ
cana-4447	429	7	fusion	fusion	NOUN
cana-4447	429	8	approach	approach	NOUN
cana-4447	429	9	2s	2s	NOUN
cana-4447	429	10	-	-	PUNCT
cana-4447	429	11	agcn	agcn	PROPN
cana-4447	429	12	.	.	PUNCT
cana-4447	430	1	the	the	DET
cana-4447	430	2	public	public	ADJ
cana-4447	430	3	dataset	dataset	VERB
cana-4447	430	4	fms	fms	PROPN
cana-4447	430	5	was	be	AUX
cana-4447	430	6	used	use	VERB
cana-4447	430	7	to	to	PART
cana-4447	430	8	recognize	recognize	VERB
cana-4447	430	9	human	human	ADJ
cana-4447	430	10	posture	posture	NOUN
cana-4447	430	11	with	with	ADP
cana-4447	430	12	a	a	DET
cana-4447	430	13	higher	high	ADJ
cana-4447	430	14	accuracy	accuracy	NOUN
cana-4447	430	15	of	of	ADP
cana-4447	430	16	98.2	98.2	NUM
cana-4447	430	17	%	%	NOUN
cana-4447	430	18	.	.	PUNCT
cana-4447	431	1	table	table	NOUN
cana-4447	431	2	7	7	NUM
cana-4447	431	3	.	.	PUNCT
cana-4447	431	4	comparison	comparison	NOUN
cana-4447	431	5	of	of	ADP
cana-4447	431	6	proposed	propose	VERB
cana-4447	431	7	methodology	methodology	NOUN
cana-4447	431	8	with	with	ADP
cana-4447	431	9	existing	exist	VERB
cana-4447	431	10	methodologies	methodology	NOUN
cana-4447	431	11	ref	ref	NOUN
cana-4447	431	12	.	.	PUNCT
cana-4447	432	1	year	year	NOUN
cana-4447	432	2	algorithms	algorithms	PROPN
cana-4447	432	3	dataset/	dataset/	NUM
cana-4447	432	4	sensor	sensor	NOUN
cana-4447	432	5	units	unit	NOUN
cana-4447	432	6	outcome	outcome	VERB
cana-4447	432	7	accuracy	accuracy	NOUN
cana-4447	432	8	/	/	SYM
cana-4447	432	9	average	average	ADJ
cana-4447	432	10	error	error	NOUN
cana-4447	432	11	rate	rate	NOUN
cana-4447	432	12	proposed	propose	VERB
cana-4447	432	13	methodology	methodology	NOUN
cana-4447	432	14	novelhap	novelhap	NOUN
cana-4447	432	15	:	:	PUNCT
cana-4447	433	1	kfa	kfa	PROPN
cana-4447	433	2	,	,	PUNCT
cana-4447	433	3	tmsa	tmsa	VERB
cana-4447	433	4	ucf-101	ucf-101	PRON
cana-4447	433	5	small	small	ADJ
cana-4447	433	6	data	datum	NOUN
cana-4447	433	7	samples	sample	NOUN
cana-4447	433	8	hap	hap	NOUN
cana-4447	433	9	:	:	PUNCT
cana-4447	433	10	shooting	shooting	NOUN
cana-4447	433	11	,	,	PUNCT
cana-4447	433	12	fighting	fighting	NOUN
cana-4447	433	13	,	,	PUNCT
cana-4447	433	14	kicking	kick	VERB
cana-4447	433	15	95	95	NUM
cana-4447	433	16	%	%	NOUN
cana-4447	433	17	ucf-101	ucf-101	VERB
cana-4447	433	18	large	large	ADJ
cana-4447	433	19	data	data	NOUN
cana-4447	433	20	samples	sample	NOUN
cana-4447	433	21	96.01	96.01	NUM
cana-4447	433	22	%	%	NOUN
cana-4447	434	1	[	[	X
cana-4447	434	2	8	8	NUM
cana-4447	434	3	]	]	SYM
cana-4447	434	4	2024	2024	NUM
cana-4447	434	5	convnet	convnet	NOUN
cana-4447	434	6	+	+	CCONJ
cana-4447	434	7	liteflownet	liteflownet	NOUN
cana-4447	434	8	)	)	PUNCT
cana-4447	434	9	rwf-2000	rwf-2000	X
cana-4447	434	10	human	human	ADJ
cana-4447	434	11	violence	violence	NOUN
cana-4447	434	12	and	and	CCONJ
cana-4447	434	13	nonviolence	nonviolence	NOUN
cana-4447	434	14	detection	detection	NOUN
cana-4447	434	15	94.50	94.50	NUM
cana-4447	434	16	%	%	NOUN
cana-4447	434	17	surveillance	surveillance	NOUN
cana-4447	434	18	fight	fight	NOUN
cana-4447	434	19	96.69	96.69	NUM
cana-4447	434	20	%	%	NOUN
cana-4447	434	21	hockey	hockey	NOUN
cana-4447	434	22	fight	fight	NOUN
cana-4447	434	23	98.62	98.62	NUM
cana-4447	434	24	%	%	NOUN
cana-4447	435	1	[	[	X
cana-4447	435	2	15	15	NUM
cana-4447	435	3	]	]	SYM
cana-4447	435	4	2024	2024	NUM
cana-4447	435	5	cnn	cnn	PROPN
cana-4447	435	6	ucf50	ucf50	PROPN
cana-4447	435	7	dataset	dataset	VERB
cana-4447	435	8	human	human	ADJ
cana-4447	435	9	activity	activity	NOUN
cana-4447	435	10	recognition	recognition	NOUN
cana-4447	435	11	(	(	PUNCT
cana-4447	435	12	har	har	X
cana-4447	435	13	)	)	PUNCT
cana-4447	435	14	99.58	99.58	NUM
cana-4447	435	15	%	%	NOUN
cana-4447	436	1	[	[	X
cana-4447	436	2	23	23	NUM
cana-4447	436	3	]	]	SYM
cana-4447	436	4	2024	2024	NUM
cana-4447	436	5	2s	2s	NUM
cana-4447	436	6	-	-	PUNCT
cana-4447	436	7	agnn	agnn	ADJ
cana-4447	436	8	fms	fms	PROPN
cana-4447	436	9	dataset	dataset	VERB
cana-4447	436	10	har	har	NOUN
cana-4447	436	11	98.2	98.2	NUM
cana-4447	436	12	%	%	NOUN
cana-4447	436	13	[	[	X
cana-4447	436	14	17	17	NUM
cana-4447	436	15	]	]	PUNCT
cana-4447	436	16	2023	2023	NUM
cana-4447	436	17	bi	bi	NOUN
cana-4447	436	18	-	-	ADJ
cana-4447	436	19	lstm	lstm	ADJ
cana-4447	436	20	2	2	NUM
cana-4447	436	21	tri	tri	ADJ
cana-4447	436	22	-	-	ADJ
cana-4447	436	23	axial	axial	ADJ
cana-4447	436	24	imu	imu	NOUN
cana-4447	436	25	sensors	sensor	NOUN
cana-4447	436	26	predict	predict	VERB
cana-4447	436	27	future	future	ADJ
cana-4447	436	28	actions	action	NOUN
cana-4447	436	29	97.96	97.96	NUM
cana-4447	436	30	%	%	NOUN
cana-4447	437	1	[	[	X
cana-4447	437	2	10	10	NUM
cana-4447	437	3	]	]	SYM
cana-4447	437	4	2023	2023	NUM
cana-4447	437	5	gb	gb	NOUN
cana-4447	437	6	,	,	PUNCT
cana-4447	437	7	rf	rf	NOUN
cana-4447	437	8	,	,	PUNCT
cana-4447	437	9	rr	rr	NOUN
cana-4447	437	10	,	,	PUNCT
cana-4447	437	11	lr	lr	PROPN
cana-4447	437	12	customized	customize	VERB
cana-4447	437	13	dataset	dataset	VERB
cana-4447	437	14	har	har	NOUN
cana-4447	437	15	98	98	NUM
cana-4447	437	16	%	%	NOUN
cana-4447	438	1	[	[	X
cana-4447	438	2	14	14	NUM
cana-4447	438	3	]	]	PUNCT
cana-4447	438	4	2023	2023	NUM
cana-4447	438	5	cnn	cnn	NOUN
cana-4447	438	6	+	+	CCONJ
cana-4447	438	7	improved	improved	ADJ
cana-4447	438	8	seed	seed	NOUN
cana-4447	438	9	ut	ut	NOUN
cana-4447	438	10	-	-	NOUN
cana-4447	438	11	interaction	interaction	NOUN
cana-4447	438	12	dataset	dataset	VERB
cana-4447	438	13	har	har	NOUN
cana-4447	438	14	100	100	NUM
cana-4447	438	15	%	%	NOUN
cana-4447	438	16	[	[	X
cana-4447	438	17	20	20	NUM
cana-4447	438	18	]	]	PUNCT
cana-4447	438	19	2023	2023	NUM
cana-4447	438	20	am	am	NOUN
cana-4447	438	21	-	-	PUNCT
cana-4447	438	22	dlfc	dlfc	NOUN
cana-4447	438	23	ku	ku	PROPN
cana-4447	438	24	-	-	PUNCT
cana-4447	438	25	har	har	PROPN
cana-4447	438	26	dataset	dataset	VERB
cana-4447	438	27	har	har	NOUN
cana-4447	438	28	:	:	PUNCT
cana-4447	438	29	run	run	NOUN
cana-4447	438	30	,	,	PUNCT
cana-4447	438	31	pick	pick	VERB
cana-4447	438	32	,	,	PUNCT
cana-4447	438	33	sit	sit	VERB
cana-4447	438	34	up	up	ADP
cana-4447	438	35	97	97	NUM
cana-4447	438	36	%	%	NOUN
cana-4447	438	37	[	[	X
cana-4447	438	38	16	16	NUM
cana-4447	438	39	]	]	SYM
cana-4447	438	40	2021	2021	NUM
cana-4447	438	41	sme	sme	NOUN
cana-4447	438	42	,	,	PUNCT
cana-4447	438	43	wlstm	wlstm	PROPN
cana-4447	438	44	ut	ut	PROPN
cana-4447	438	45	-	-	PUNCT
cana-4447	438	46	interaction	interaction	NOUN
cana-4447	438	47	dataset	dataset	VERB
cana-4447	438	48	hap	hap	NOUN
cana-4447	438	49	98.3	98.3	NUM
cana-4447	438	50	%	%	NOUN
cana-4447	438	51	table	table	NOUN
cana-4447	438	52	7	7	NUM
cana-4447	438	53	compares	compare	VERB
cana-4447	438	54	the	the	DET
cana-4447	438	55	proposed	propose	VERB
cana-4447	438	56	approaches	approach	NOUN
cana-4447	438	57	with	with	ADP
cana-4447	438	58	existing	exist	VERB
cana-4447	438	59	methodologies	methodology	NOUN
cana-4447	438	60	for	for	ADP
cana-4447	438	61	the	the	DET
cana-4447	438	62	prediction	prediction	NOUN
cana-4447	438	63	of	of	ADP
cana-4447	438	64	human	human	ADJ
cana-4447	438	65	criminal	criminal	ADJ
cana-4447	438	66	actions	action	NOUN
cana-4447	438	67	when	when	SCONJ
cana-4447	438	68	humans	human	NOUN
cana-4447	438	69	are	be	AUX
cana-4447	438	70	very	very	ADV
cana-4447	438	71	near	near	ADV
cana-4447	438	72	to	to	ADP
cana-4447	438	73	each	each	DET
cana-4447	438	74	other	other	ADJ
cana-4447	438	75	in	in	ADP
cana-4447	438	76	the	the	DET
cana-4447	438	77	video	video	NOUN
cana-4447	438	78	frames	frame	NOUN
cana-4447	438	79	.	.	PUNCT
cana-4447	439	1	the	the	DET
cana-4447	439	2	comparison	comparison	NOUN
cana-4447	439	3	results	result	NOUN
cana-4447	439	4	demonstrated	demonstrate	VERB
cana-4447	439	5	that	that	SCONJ
cana-4447	439	6	the	the	DET
cana-4447	439	7	novelhap	novelhap	NOUN
cana-4447	439	8	proposed	propose	VERB
cana-4447	439	9	method	method	NOUN
cana-4447	439	10	yields	yield	NOUN
cana-4447	439	11	optimizable	optimizable	ADJ
cana-4447	439	12	outcomes	outcome	NOUN
cana-4447	439	13	for	for	ADP
cana-4447	439	14	shooting	shooting	NOUN
cana-4447	439	15	,	,	PUNCT
cana-4447	439	16	fighting	fighting	NOUN
cana-4447	439	17	,	,	PUNCT
cana-4447	439	18	and	and	CCONJ
cana-4447	439	19	kicking	kicking	NOUN
cana-4447	439	20	utilizing	utilize	VERB
cana-4447	439	21	the	the	DET
cana-4447	439	22	methods	method	NOUN
cana-4447	439	23	kalman	kalman	PROPN
cana-4447	439	24	filter	filter	NOUN
cana-4447	439	25	algorithm	algorithm	PROPN
cana-4447	439	26	(	(	PUNCT
cana-4447	439	27	kfa	kfa	PROPN
cana-4447	439	28	)	)	PUNCT
cana-4447	439	29	,	,	PUNCT
cana-4447	439	30	and	and	CCONJ
cana-4447	439	31	template	template	NOUN
cana-4447	439	32	matching	match	VERB
cana-4447	439	33	statistical	statistical	ADJ
cana-4447	439	34	approaches	approach	NOUN
cana-4447	439	35	(	(	PUNCT
cana-4447	439	36	tmsa	tmsa	NOUN
cana-4447	439	37	)	)	PUNCT
cana-4447	439	38	.	.	PUNCT
cana-4447	440	1	furthermore	furthermore	ADV
cana-4447	440	2	,	,	PUNCT
cana-4447	440	3	it	it	PRON
cana-4447	440	4	has	have	AUX
cana-4447	440	5	been	be	AUX
cana-4447	440	6	demonstrated	demonstrate	VERB
cana-4447	440	7	that	that	SCONJ
cana-4447	440	8	the	the	DET
cana-4447	440	9	suggested	suggest	VERB
cana-4447	440	10	methods	method	NOUN
cana-4447	440	11	are	be	AUX
cana-4447	440	12	in	in	ADP
cana-4447	440	13	optimizable	optimizable	ADJ
cana-4447	440	14	computational	computational	ADJ
cana-4447	440	15	costs	cost	NOUN
cana-4447	440	16	in	in	ADP
cana-4447	440	17	a	a	DET
cana-4447	440	18	variety	variety	NOUN
cana-4447	440	19	of	of	ADP
cana-4447	440	20	complex	complex	ADJ
cana-4447	440	21	video	video	NOUN
cana-4447	440	22	scenarios	scenario	NOUN
cana-4447	440	23	and	and	CCONJ
cana-4447	440	24	on	on	ADP
cana-4447	440	25	both	both	CCONJ
cana-4447	440	26	small	small	ADJ
cana-4447	440	27	and	and	CCONJ
cana-4447	440	28	big	big	ADJ
cana-4447	440	29	data	datum	NOUN
cana-4447	440	30	samples	sample	NOUN
cana-4447	440	31	taken	take	VERB
cana-4447	440	32	from	from	ADP
cana-4447	440	33	the	the	DET
cana-4447	440	34	dataset	dataset	NOUN
cana-4447	440	35	.	.	PUNCT
cana-4447	441	1	4	4	X
cana-4447	441	2	.	.	X
cana-4447	441	3	conclusion	conclusion	NOUN
cana-4447	441	4	and	and	CCONJ
cana-4447	441	5	future	future	ADJ
cana-4447	441	6	scope	scope	NOUN
cana-4447	441	7	in	in	ADP
cana-4447	441	8	many	many	ADJ
cana-4447	441	9	complex	complex	ADJ
cana-4447	441	10	contexts	contexts	NOUN
cana-4447	441	11	,	,	PUNCT
cana-4447	441	12	it	it	PRON
cana-4447	441	13	is	be	AUX
cana-4447	441	14	difficult	difficult	ADJ
cana-4447	441	15	to	to	PART
cana-4447	441	16	predict	predict	VERB
cana-4447	441	17	human	human	ADJ
cana-4447	441	18	criminal	criminal	ADJ
cana-4447	441	19	action	action	NOUN
cana-4447	441	20	in	in	ADP
cana-4447	441	21	surveillance	surveillance	NOUN
cana-4447	441	22	video	video	NOUN
cana-4447	441	23	frames	frame	NOUN
cana-4447	441	24	.	.	PUNCT
cana-4447	442	1	for	for	ADP
cana-4447	442	2	human	human	ADJ
cana-4447	442	3	crime	crime	NOUN
cana-4447	442	4	activity	activity	NOUN
cana-4447	442	5	prediction	prediction	NOUN
cana-4447	442	6	(	(	PUNCT
cana-4447	442	7	hap	hap	NOUN
cana-4447	442	8	)	)	PUNCT
cana-4447	442	9	,	,	PUNCT
cana-4447	442	10	the	the	DET
cana-4447	442	11	suggested	suggest	VERB
cana-4447	442	12	novelhap	novelhap	ADJ
cana-4447	442	13	algorithm	algorithm	PROPN
cana-4447	442	14	used	use	VERB
cana-4447	442	15	a	a	DET
cana-4447	442	16	predicted	predict	VERB
cana-4447	442	17	correction	correction	NOUN
cana-4447	442	18	filter	filter	NOUN
cana-4447	442	19	algorithm	algorithm	NOUN
cana-4447	442	20	,	,	PUNCT
cana-4447	442	21	skeleton	skeleton	NOUN
cana-4447	442	22	-	-	PUNCT
cana-4447	442	23	based	base	VERB
cana-4447	442	24	method	method	NOUN
cana-4447	442	25	,	,	PUNCT
cana-4447	442	26	and	and	CCONJ
cana-4447	442	27	pattern	pattern	NOUN
cana-4447	442	28	-	-	PUNCT
cana-4447	442	29	matching	match	VERB
cana-4447	442	30	techniques	technique	NOUN
cana-4447	442	31	such	such	ADJ
cana-4447	442	32	as	as	ADP
cana-4447	442	33	the	the	DET
cana-4447	442	34	kalman	kalman	PROPN
cana-4447	442	35	filter	filter	NOUN
cana-4447	442	36	algorithm	algorithm	PROPN
cana-4447	442	37	(	(	PUNCT
cana-4447	442	38	kfa	kfa	PROPN
cana-4447	442	39	)	)	PUNCT
cana-4447	442	40	,	,	PUNCT
cana-4447	442	41	mediapipe	mediapipe	NOUN
cana-4447	442	42	pose	pose	NOUN
cana-4447	442	43	(	(	PUNCT
cana-4447	442	44	mpp	mpp	NOUN
cana-4447	442	45	)	)	PUNCT
cana-4447	442	46	framework	framework	NOUN
cana-4447	442	47	,	,	PUNCT
cana-4447	442	48	and	and	CCONJ
cana-4447	442	49	template	template	NOUN
cana-4447	442	50	matching	match	VERB
cana-4447	442	51	statistical	statistical	ADJ
cana-4447	442	52	approaches	approach	NOUN
cana-4447	442	53	(	(	PUNCT
cana-4447	442	54	tmsa	tmsa	NOUN
cana-4447	442	55	)	)	PUNCT
cana-4447	442	56	.	.	PUNCT
cana-4447	443	1	kfa	kfa	PROPN
cana-4447	443	2	predicted	predict	VERB
cana-4447	443	3	a	a	DET
cana-4447	443	4	video	video	NOUN
cana-4447	443	5	frame	frame	NOUN
cana-4447	443	6	with	with	ADP
cana-4447	443	7	a	a	DET
cana-4447	443	8	near	near	ADJ
cana-4447	443	9	human	human	ADJ
cana-4447	443	10	bounding	bounding	NOUN
cana-4447	443	11	box	box	NOUN
cana-4447	443	12	(	(	PUNCT
cana-4447	443	13	bb	bb	NOUN
cana-4447	443	14	)	)	PUNCT
cana-4447	443	15	communications	communication	NOUN
cana-4447	443	16	on	on	ADP
cana-4447	443	17	applied	apply	VERB
cana-4447	443	18	nonlinear	nonlinear	ADJ
cana-4447	443	19	analysis	analysis	NOUN
cana-4447	443	20	issn	issn	NOUN
cana-4447	443	21	:	:	PUNCT
cana-4447	443	22	1074	1074	NUM
cana-4447	443	23	-	-	PUNCT
cana-4447	443	24	133x	133x	NUM
cana-4447	443	25	vol	vol	NOUN
cana-4447	443	26	32	32	NUM
cana-4447	443	27	no	no	NOUN
cana-4447	443	28	.	.	PUNCT
cana-4447	444	1	9s	9s	NUM
cana-4447	444	2	(	(	PUNCT
cana-4447	444	3	2025	2025	NUM
cana-4447	444	4	)	)	PUNCT
cana-4447	444	5	2073	2073	NUM
cana-4447	444	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-4447	444	7	and	and	CCONJ
cana-4447	444	8	its	its	PRON
cana-4447	444	9	centroid	centroid	NOUN
cana-4447	444	10	position	position	NOUN
cana-4447	444	11	compared	compare	VERB
cana-4447	444	12	to	to	ADP
cana-4447	444	13	another	another	PRON
cana-4447	444	14	.	.	PUNCT
cana-4447	445	1	human	human	ADJ
cana-4447	445	2	action	action	NOUN
cana-4447	445	3	can	can	AUX
cana-4447	445	4	be	be	AUX
cana-4447	445	5	expected	expect	VERB
cana-4447	445	6	when	when	SCONJ
cana-4447	445	7	two	two	NUM
cana-4447	445	8	persons	person	NOUN
cana-4447	445	9	are	be	AUX
cana-4447	445	10	close	close	ADJ
cana-4447	445	11	.	.	PUNCT
cana-4447	446	1	the	the	DET
cana-4447	446	2	anticipated	anticipate	VERB
cana-4447	446	3	frames	frame	NOUN
cana-4447	446	4	were	be	AUX
cana-4447	446	5	taken	take	VERB
cana-4447	446	6	into	into	ADP
cana-4447	446	7	consideration	consideration	NOUN
cana-4447	446	8	and	and	CCONJ
cana-4447	446	9	identified	identify	VERB
cana-4447	446	10	the	the	DET
cana-4447	446	11	human	human	NOUN
cana-4447	446	12	's	's	PART
cana-4447	446	13	posture	posture	NOUN
cana-4447	446	14	and	and	CCONJ
cana-4447	446	15	landmarks	landmark	NOUN
cana-4447	446	16	using	use	VERB
cana-4447	446	17	the	the	DET
cana-4447	446	18	mediapipe	mediapipe	NOUN
cana-4447	446	19	pose	pose	NOUN
cana-4447	446	20	(	(	PUNCT
cana-4447	446	21	mpp	mpp	NOUN
cana-4447	446	22	)	)	PUNCT
cana-4447	446	23	framework	framework	NOUN
cana-4447	446	24	.	.	PUNCT
cana-4447	447	1	the	the	DET
cana-4447	447	2	euclidean	euclidean	ADJ
cana-4447	447	3	distances	distance	NOUN
cana-4447	447	4	are	be	AUX
cana-4447	447	5	calculated	calculate	VERB
cana-4447	447	6	from	from	ADP
cana-4447	447	7	d1	d1	PROPN
cana-4447	447	8	to	to	ADP
cana-4447	447	9	d10	d10	PROPN
cana-4447	447	10	among	among	ADP
cana-4447	447	11	the	the	DET
cana-4447	447	12	six	six	NUM
cana-4447	447	13	significant	significant	ADJ
cana-4447	447	14	landmarks	landmark	NOUN
cana-4447	447	15	:	:	PUNCT
cana-4447	447	16	left_wrist	left_wrist	VERB
cana-4447	447	17	,	,	PUNCT
cana-4447	447	18	right_wrist	right_wrist	NOUN
cana-4447	447	19	,	,	PUNCT
cana-4447	447	20	left_hip	left_hip	NOUN
cana-4447	447	21	,	,	PUNCT
cana-4447	447	22	right_hip	right_hip	NOUN
cana-4447	447	23	,	,	PUNCT
cana-4447	447	24	left_ankle	left_ankle	NOUN
cana-4447	447	25	,	,	PUNCT
cana-4447	447	26	and	and	CCONJ
cana-4447	447	27	right_ankle	right_ankle	NOUN
cana-4447	447	28	,	,	PUNCT
cana-4447	447	29	of	of	ADP
cana-4447	447	30	video	video	NOUN
cana-4447	447	31	frame	frame	NOUN
cana-4447	447	32	postures	posture	NOUN
cana-4447	447	33	(	(	PUNCT
cana-4447	447	34	training	training	NOUN
cana-4447	447	35	vectors	vector	NOUN
cana-4447	447	36	)	)	PUNCT
cana-4447	447	37	and	and	CCONJ
cana-4447	447	38	template	template	NOUN
cana-4447	447	39	vectors	vector	NOUN
cana-4447	447	40	(	(	PUNCT
cana-4447	447	41	test	test	NOUN
cana-4447	447	42	vectors	vector	NOUN
cana-4447	447	43	)	)	PUNCT
cana-4447	447	44	.	.	PUNCT
cana-4447	448	1	cross	cross	NOUN
cana-4447	448	2	-	-	NOUN
cana-4447	448	3	correlation	correlation	NOUN
cana-4447	448	4	(	(	PUNCT
cana-4447	448	5	cc	cc	NOUN
cana-4447	448	6	)	)	PUNCT
cana-4447	448	7	,	,	PUNCT
cana-4447	448	8	normalized	normalize	VERB
cana-4447	448	9	cross	cross	NOUN
cana-4447	448	10	correlation	correlation	NOUN
cana-4447	448	11	(	(	PUNCT
cana-4447	448	12	ncc	ncc	NOUN
cana-4447	448	13	)	)	PUNCT
cana-4447	448	14	,	,	PUNCT
cana-4447	448	15	and	and	CCONJ
cana-4447	448	16	sum	sum	NOUN
cana-4447	448	17	of	of	ADP
cana-4447	448	18	absolute	absolute	ADJ
cana-4447	448	19	difference	difference	NOUN
cana-4447	448	20	(	(	PUNCT
cana-4447	448	21	sad	sad	ADJ
cana-4447	448	22	)	)	PUNCT
cana-4447	448	23	template	template	NOUN
cana-4447	448	24	matching	match	VERB
cana-4447	448	25	statistical	statistical	ADJ
cana-4447	448	26	methods	method	NOUN
cana-4447	448	27	(	(	PUNCT
cana-4447	448	28	tmsa	tmsa	NOUN
cana-4447	448	29	)	)	PUNCT
cana-4447	448	30	were	be	AUX
cana-4447	448	31	utilized	utilize	VERB
cana-4447	448	32	to	to	PART
cana-4447	448	33	assess	assess	VERB
cana-4447	448	34	the	the	DET
cana-4447	448	35	similarity	similarity	NOUN
cana-4447	448	36	between	between	ADP
cana-4447	448	37	trained	train	VERB
cana-4447	448	38	and	and	CCONJ
cana-4447	448	39	test	test	NOUN
cana-4447	448	40	vectors	vector	NOUN
cana-4447	448	41	.	.	PUNCT
cana-4447	449	1	among	among	ADP
cana-4447	449	2	the	the	DET
cana-4447	449	3	three	three	NUM
cana-4447	449	4	measured	measured	ADJ
cana-4447	449	5	values	value	NOUN
cana-4447	449	6	of	of	ADP
cana-4447	449	7	tmsa	tmsa	NOUN
cana-4447	449	8	similarity	similarity	NOUN
cana-4447	449	9	,	,	PUNCT
cana-4447	449	10	the	the	DET
cana-4447	449	11	highest	high	ADJ
cana-4447	449	12	value	value	NOUN
cana-4447	449	13	is	be	AUX
cana-4447	449	14	considered	consider	VERB
cana-4447	449	15	and	and	CCONJ
cana-4447	449	16	predicted	predict	VERB
cana-4447	449	17	shooting	shooting	NOUN
cana-4447	449	18	,	,	PUNCT
cana-4447	449	19	fighting	fighting	NOUN
cana-4447	449	20	,	,	PUNCT
cana-4447	449	21	and	and	CCONJ
cana-4447	449	22	kicking	kick	VERB
cana-4447	449	23	criminal	criminal	ADJ
cana-4447	449	24	activities	activity	NOUN
cana-4447	449	25	in	in	ADP
cana-4447	449	26	humans	human	NOUN
cana-4447	449	27	.	.	PUNCT
cana-4447	450	1	the	the	DET
cana-4447	450	2	empirical	empirical	ADJ
cana-4447	450	3	analysis	analysis	NOUN
cana-4447	450	4	demonstrated	demonstrate	VERB
cana-4447	450	5	that	that	SCONJ
cana-4447	450	6	the	the	DET
cana-4447	450	7	accuracies	accuracy	NOUN
cana-4447	450	8	for	for	ADP
cana-4447	450	9	hap	hap	NOUN
cana-4447	450	10	on	on	ADP
cana-4447	450	11	the	the	DET
cana-4447	450	12	ucf-101	ucf-101	PROPN
cana-4447	450	13	are	be	AUX
cana-4447	450	14	95	95	NUM
cana-4447	450	15	%	%	NOUN
cana-4447	450	16	for	for	ADP
cana-4447	450	17	short	short	ADJ
cana-4447	450	18	data	data	NOUN
cana-4447	450	19	samples	sample	NOUN
cana-4447	450	20	and	and	CCONJ
cana-4447	450	21	96.01	96.01	NUM
cana-4447	450	22	%	%	NOUN
cana-4447	450	23	for	for	ADP
cana-4447	450	24	large	large	ADJ
cana-4447	450	25	data	datum	NOUN
cana-4447	450	26	samples	sample	NOUN
cana-4447	450	27	,	,	PUNCT
cana-4447	450	28	respectively	respectively	ADV
cana-4447	450	29	.	.	PUNCT
cana-4447	451	1	the	the	DET
cana-4447	451	2	prediction	prediction	NOUN
cana-4447	451	3	of	of	ADP
cana-4447	451	4	human	human	ADJ
cana-4447	451	5	criminal	criminal	ADJ
cana-4447	451	6	action	action	NOUN
cana-4447	451	7	in	in	ADP
cana-4447	451	8	video	video	NOUN
cana-4447	451	9	frames	frame	NOUN
cana-4447	451	10	has	have	VERB
cana-4447	451	11	a	a	DET
cana-4447	451	12	quadratic	quadratic	ADJ
cana-4447	451	13	computational	computational	ADJ
cana-4447	451	14	complexity	complexity	NOUN
cana-4447	451	15	of	of	ADP
cana-4447	451	16	o(n2	o(n2	ADJ
cana-4447	451	17	)	)	PUNCT
cana-4447	451	18	.	.	PUNCT
cana-4447	452	1	nevertheless	nevertheless	ADV
cana-4447	452	2	,	,	PUNCT
cana-4447	452	3	this	this	DET
cana-4447	452	4	research	research	NOUN
cana-4447	452	5	may	may	AUX
cana-4447	452	6	eventually	eventually	ADV
cana-4447	452	7	broaden	broaden	VERB
cana-4447	452	8	to	to	PART
cana-4447	452	9	encompass	encompass	VERB
cana-4447	452	10	the	the	DET
cana-4447	452	11	following	following	NOUN
cana-4447	452	12	:	:	PUNCT
cana-4447	452	13	i	i	X
cana-4447	452	14	)	)	PUNCT
cana-4447	452	15	the	the	DET
cana-4447	452	16	prediction	prediction	NOUN
cana-4447	452	17	of	of	ADP
cana-4447	452	18	human	human	ADJ
cana-4447	452	19	crime	crime	NOUN
cana-4447	452	20	actions	action	NOUN
cana-4447	452	21	such	such	ADJ
cana-4447	452	22	as	as	ADP
cana-4447	452	23	beating	beating	NOUN
cana-4447	452	24	,	,	PUNCT
cana-4447	452	25	dragging	drag	VERB
cana-4447	452	26	,	,	PUNCT
cana-4447	452	27	and	and	CCONJ
cana-4447	452	28	so	so	ADV
cana-4447	452	29	on	on	ADV
cana-4447	452	30	in	in	ADP
cana-4447	452	31	video	video	NOUN
cana-4447	452	32	frames	frame	NOUN
cana-4447	452	33	,	,	PUNCT
cana-4447	452	34	and	and	CCONJ
cana-4447	452	35	ii	ii	X
cana-4447	452	36	)	)	PUNCT
cana-4447	452	37	the	the	DET
cana-4447	452	38	recognition	recognition	NOUN
cana-4447	452	39	and	and	CCONJ
cana-4447	452	40	prediction	prediction	NOUN
cana-4447	452	41	of	of	ADP
cana-4447	452	42	human	human	ADJ
cana-4447	452	43	activity	activity	NOUN
cana-4447	452	44	in	in	ADP
cana-4447	452	45	multiple	multiple	ADJ
cana-4447	452	46	persons	person	NOUN
cana-4447	452	47	in	in	ADP
cana-4447	452	48	a	a	DET
cana-4447	452	49	single	single	ADJ
cana-4447	452	50	scenario	scenario	NOUN
cana-4447	452	51	.	.	PUNCT
cana-4447	453	1	references	reference	NOUN
cana-4447	453	2	[	[	X
cana-4447	453	3	1	1	NUM
cana-4447	453	4	]	]	PUNCT
cana-4447	453	5	neil	neil	PROPN
cana-4447	453	6	shah	shah	PROPN
cana-4447	453	7	.	.	PROPN
cana-4447	453	8	,	,	PUNCT
cana-4447	453	9	nandish	nandish	PROPN
cana-4447	453	10	bhagat	bhagat	PROPN
cana-4447	453	11	.	.	PROPN
cana-4447	453	12	,	,	PUNCT
cana-4447	453	13	&	&	CCONJ
cana-4447	453	14	manan	manan	PROPN
cana-4447	453	15	shah	shah	PROPN
cana-4447	453	16	.	.	PUNCT
cana-4447	454	1	(	(	PUNCT
cana-4447	454	2	2021	2021	NUM
cana-4447	454	3	)	)	PUNCT
cana-4447	454	4	.	.	PUNCT
cana-4447	455	1	crime	crime	NOUN
cana-4447	455	2	forecasting	forecasting	NOUN
cana-4447	455	3	:	:	PUNCT
cana-4447	455	4	a	a	DET
cana-4447	455	5	machine	machine	NOUN
cana-4447	455	6	learning	learning	NOUN
cana-4447	455	7	and	and	CCONJ
cana-4447	455	8	computer	computer	NOUN
cana-4447	455	9	vision	vision	NOUN
cana-4447	455	10	approach	approach	NOUN
cana-4447	455	11	to	to	ADP
cana-4447	455	12	crime	crime	NOUN
cana-4447	455	13	prediction	prediction	NOUN
cana-4447	455	14	and	and	CCONJ
cana-4447	455	15	prevention	prevention	NOUN
cana-4447	455	16	.	.	PUNCT
cana-4447	456	1	visual	visual	ADJ
cana-4447	456	2	computing	computing	NOUN
cana-4447	456	3	for	for	ADP
cana-4447	456	4	industry	industry	NOUN
cana-4447	456	5	.	.	PUNCT
cana-4447	457	1	biomedicine	biomedicine	NOUN
cana-4447	457	2	,	,	PUNCT
cana-4447	457	3	and	and	CCONJ
cana-4447	457	4	art	art	NOUN
cana-4447	457	5	.	.	PUNCT
cana-4447	458	1	4(9):1	4(9):1	PROPN
cana-4447	458	2	-	-	PUNCT
cana-4447	458	3	14	14	NUM
cana-4447	458	4	.	.	PUNCT
cana-4447	459	1	https://doi.org/10.1186/s42492-021-00075-z	https://doi.org/10.1186/s42492-021-00075-z	ADJ
cana-4447	459	2	.	.	PUNCT
cana-4447	460	1	[	[	X
cana-4447	460	2	2	2	X
cana-4447	460	3	]	]	PUNCT
cana-4447	460	4	neziha	neziha	PROPN
cana-4447	460	5	jaouedi	jaouedi	PROPN
cana-4447	460	6	.	.	PUNCT
cana-4447	460	7	,	,	PUNCT
cana-4447	460	8	francisco	francisco	PROPN
cana-4447	460	9	j.	j.	PROPN
cana-4447	460	10	perales	perales	PROPN
cana-4447	460	11	.	.	PROPN
cana-4447	460	12	,	,	PUNCT
cana-4447	460	13	josé	josé	PROPN
cana-4447	460	14	maria	maria	PROPN
cana-4447	460	15	buades	buades	PROPN
cana-4447	460	16	.	.	PUNCT
cana-4447	460	17	,	,	PUNCT
cana-4447	460	18	noureddine	noureddine	ADP
cana-4447	460	19	boujnah	boujnah	PROPN
cana-4447	460	20	.	.	PROPN
cana-4447	460	21	,	,	PUNCT
cana-4447	460	22	&	&	CCONJ
cana-4447	460	23	med	med	PROPN
cana-4447	460	24	salim	salim	PROPN
cana-4447	460	25	bouhlel	bouhlel	PROPN
cana-4447	460	26	.	.	PUNCT
cana-4447	461	1	(	(	PUNCT
cana-4447	461	2	2020	2020	NUM
cana-4447	461	3	)	)	PUNCT
cana-4447	461	4	.	.	PUNCT
cana-4447	462	1	prediction	prediction	NOUN
cana-4447	462	2	of	of	ADP
cana-4447	462	3	human	human	ADJ
cana-4447	462	4	activities	activity	NOUN
cana-4447	462	5	based	base	VERB
cana-4447	462	6	on	on	ADP
cana-4447	462	7	a	a	DET
cana-4447	462	8	new	new	ADJ
cana-4447	462	9	structure	structure	NOUN
cana-4447	462	10	of	of	ADP
cana-4447	462	11	skeleton	skeleton	NOUN
cana-4447	462	12	features	feature	NOUN
cana-4447	462	13	and	and	CCONJ
cana-4447	462	14	deep	deep	ADJ
cana-4447	462	15	learning	learning	NOUN
cana-4447	462	16	model	model	NOUN
cana-4447	462	17	.	.	PUNCT
cana-4447	463	1	electronics	electronic	NOUN
cana-4447	463	2	.	.	PUNCT
cana-4447	464	1	20(17):1	20(17):1	NOUN
cana-4447	464	2	-	-	SYM
cana-4447	464	3	15	15	NUM
cana-4447	464	4	.	.	PUNCT
cana-4447	465	1	https://doi.org/10.3390/s20174944	https://doi.org/10.3390/s20174944	X
cana-4447	465	2	.	.	PUNCT
cana-4447	466	1	[	[	X
cana-4447	466	2	3	3	NUM
cana-4447	466	3	]	]	ADJ
cana-4447	466	4	afef	afef	NOUN
cana-4447	466	5	salhi	salhi	NOUN
cana-4447	466	6	.	.	PROPN
cana-4447	466	7	,	,	PUNCT
cana-4447	466	8	fahmi	fahmi	PROPN
cana-4447	466	9	ghozzi	ghozzi	NOUN
cana-4447	466	10	.	.	PUNCT
cana-4447	466	11	,	,	PUNCT
cana-4447	466	12	&	&	CCONJ
cana-4447	466	13	ahmed	ahmed	PROPN
cana-4447	466	14	fakhfakh	fakhfakh	PROPN
cana-4447	466	15	.	.	PUNCT
cana-4447	467	1	(	(	PUNCT
cana-4447	467	2	2020	2020	NUM
cana-4447	467	3	)	)	PUNCT
cana-4447	467	4	.	.	PUNCT
cana-4447	468	1	estimation	estimation	NOUN
cana-4447	468	2	for	for	ADP
cana-4447	468	3	motion	motion	NOUN
cana-4447	468	4	in	in	ADP
cana-4447	468	5	tracking	tracking	NOUN
cana-4447	468	6	and	and	CCONJ
cana-4447	468	7	detection	detection	NOUN
cana-4447	468	8	objects	object	NOUN
cana-4447	468	9	with	with	ADP
cana-4447	468	10	kalman	kalman	PROPN
cana-4447	468	11	filter	filter	PROPN
cana-4447	468	12	.	.	PUNCT
cana-4447	469	1	dynamic	dynamic	ADJ
cana-4447	469	2	data	datum	NOUN
cana-4447	469	3	assimilation	assimilation	NOUN
cana-4447	469	4	–	–	PUNCT
cana-4447	469	5	beating	beat	VERB
cana-4447	469	6	the	the	DET
cana-4447	469	7	uncertainties	uncertainty	NOUN
cana-4447	469	8	.	.	PUNCT
cana-4447	470	1	1	1	NUM
cana-4447	470	2	-	-	SYM
cana-4447	470	3	16	16	NUM
cana-4447	470	4	.	.	PUNCT
cana-4447	471	1	https://doi.org/10.5772/intechopen.92863	https://doi.org/10.5772/intechopen.92863	ADJ
cana-4447	471	2	.	.	PUNCT
cana-4447	472	1	[	[	X
cana-4447	472	2	4	4	NUM
cana-4447	472	3	]	]	X
cana-4447	472	4	dah	dah	PROPN
cana-4447	472	5	-	-	PUNCT
cana-4447	472	6	jing	jing	PROPN
cana-4447	472	7	jwo	jwo	PROPN
cana-4447	472	8	.	.	PROPN
cana-4447	472	9	,	,	PUNCT
cana-4447	472	10	&	&	CCONJ
cana-4447	472	11	amita	amita	PROPN
cana-4447	472	12	biswal	biswal	PROPN
cana-4447	472	13	.	.	PUNCT
cana-4447	473	1	(	(	PUNCT
cana-4447	473	2	2023	2023	NUM
cana-4447	473	3	)	)	PUNCT
cana-4447	473	4	.	.	PUNCT
cana-4447	474	1	implementation	implementation	NOUN
cana-4447	474	2	and	and	CCONJ
cana-4447	474	3	performance	performance	NOUN
cana-4447	474	4	analysis	analysis	NOUN
cana-4447	474	5	of	of	ADP
cana-4447	474	6	kalman	kalman	NOUN
cana-4447	474	7	filters	filter	NOUN
cana-4447	474	8	with	with	ADP
cana-4447	474	9	consistency	consistency	NOUN
cana-4447	474	10	validation	validation	NOUN
cana-4447	474	11	.	.	PUNCT
cana-4447	475	1	mathematics.11(3):1	mathematics.11(3):1	PROPN
cana-4447	475	2	-	-	PUNCT
cana-4447	475	3	19	19	NUM
cana-4447	475	4	.	.	PUNCT
cana-4447	475	5	https://doi.org/10.3390/math11030521	https://doi.org/10.3390/math11030521	NOUN
cana-4447	475	6	.	.	PUNCT
cana-4447	476	1	[	[	X
cana-4447	476	2	5	5	NUM
cana-4447	476	3	]	]	PUNCT
cana-4447	476	4	li	li	PROPN
cana-4447	476	5	hongmei	hongmei	PROPN
cana-4447	476	6	.	.	PUNCT
cana-4447	476	7	,	,	PUNCT
cana-4447	476	8	huang	huang	PROPN
cana-4447	476	9	lin	lin	PROPN
cana-4447	476	10	.	.	PROPN
cana-4447	476	11	,	,	PUNCT
cana-4447	476	12	zhang	zhang	PROPN
cana-4447	476	13	ruiqiang	ruiqiang	PROPN
cana-4447	476	14	.	.	PROPN
cana-4447	476	15	,	,	PUNCT
cana-4447	476	16	lv	lv	PROPN
cana-4447	476	17	lei	lei	PROPN
cana-4447	476	18	.	.	PROPN
cana-4447	476	19	,	,	PUNCT
cana-4447	476	20	wang	wang	PROPN
cana-4447	476	21	diangang	diangang	PROPN
cana-4447	476	22	.	.	PROPN
cana-4447	476	23	,	,	PUNCT
cana-4447	476	24	&	&	CCONJ
cana-4447	476	25	li	li	PROPN
cana-4447	476	26	jiazhou	jiazhou	PROPN
cana-4447	476	27	.	.	PUNCT
cana-4447	477	1	(	(	PUNCT
cana-4447	477	2	2020	2020	NUM
cana-4447	477	3	)	)	PUNCT
cana-4447	477	4	.	.	PUNCT
cana-4447	478	1	object	object	VERB
cana-4447	478	2	tracking	tracking	NOUN
cana-4447	478	3	in	in	ADP
cana-4447	478	4	video	video	NOUN
cana-4447	478	5	sequence	sequence	NOUN
cana-4447	478	6	based	base	VERB
cana-4447	478	7	on	on	ADP
cana-4447	478	8	kalman	kalman	PROPN
cana-4447	478	9	filter	filter	PROPN
cana-4447	478	10	.	.	PUNCT
cana-4447	479	1	international	international	ADJ
cana-4447	479	2	conference	conference	NOUN
cana-4447	479	3	on	on	ADP
cana-4447	479	4	computer	computer	NOUN
cana-4447	479	5	engineering	engineering	NOUN
cana-4447	479	6	and	and	CCONJ
cana-4447	479	7	intelligent	intelligent	ADJ
cana-4447	479	8	control	control	NOUN
cana-4447	479	9	(	(	PUNCT
cana-4447	479	10	icceic	icceic	ADJ
cana-4447	479	11	)	)	PUNCT
cana-4447	479	12	.	.	PUNCT
cana-4447	480	1	1	1	NUM
cana-4447	480	2	-	-	SYM
cana-4447	480	3	5	5	NUM
cana-4447	480	4	.	.	PUNCT
cana-4447	481	1	http://dx.doi.org/10.1109/icceic51584.2020.00029	http://dx.doi.org/10.1109/icceic51584.2020.00029	PROPN
cana-4447	481	2	.	.	PUNCT
cana-4447	482	1	[	[	X
cana-4447	482	2	6	6	NUM
cana-4447	482	3	]	]	PUNCT
cana-4447	482	4	arija	arija	ADJ
cana-4447	482	5	birze	birze	PROPN
cana-4447	482	6	.	.	PUNCT
cana-4447	483	1	,	,	PUNCT
cana-4447	483	2	kaitlyn	kaitlyn	ADJ
cana-4447	483	3	regehr	regehr	NOUN
cana-4447	483	4	.	.	PUNCT
cana-4447	483	5	,	,	PUNCT
cana-4447	483	6	&	&	CCONJ
cana-4447	483	7	cheryl	cheryl	PROPN
cana-4447	483	8	regehr	regehr	NOUN
cana-4447	483	9	.	.	PUNCT
cana-4447	484	1	(	(	PUNCT
cana-4447	484	2	2022	2022	NUM
cana-4447	484	3	)	)	PUNCT
cana-4447	484	4	.	.	PUNCT
cana-4447	485	1	workplace	workplace	NOUN
cana-4447	485	2	trauma	trauma	NOUN
cana-4447	485	3	in	in	ADP
cana-4447	485	4	a	a	DET
cana-4447	485	5	digital	digital	ADJ
cana-4447	485	6	age	age	NOUN
cana-4447	485	7	:	:	PUNCT
cana-4447	485	8	the	the	DET
cana-4447	485	9	impact	impact	NOUN
cana-4447	485	10	of	of	ADP
cana-4447	485	11	video	video	NOUN
cana-4447	485	12	evidence	evidence	NOUN
cana-4447	485	13	of	of	ADP
cana-4447	485	14	violent	violent	ADJ
cana-4447	485	15	crime	crime	NOUN
cana-4447	485	16	on	on	ADP
cana-4447	485	17	criminal	criminal	ADJ
cana-4447	485	18	justice	justice	NOUN
cana-4447	485	19	professionals	professional	NOUN
cana-4447	485	20	.	.	PUNCT
cana-4447	486	1	journal	journal	PROPN
cana-4447	486	2	of	of	ADP
cana-4447	486	3	interpersonal	interpersonal	ADJ
cana-4447	486	4	violence	violence	NOUN
cana-4447	486	5	.	.	PUNCT
cana-4447	487	1	38(1):1654	38(1):1654	NUM
cana-4447	487	2	-	-	SYM
cana-4447	487	3	1689	1689	NUM
cana-4447	487	4	.	.	PUNCT
cana-4447	488	1	https://doi.org/10.1177/08862605221090571	https://doi.org/10.1177/08862605221090571	NOUN
cana-4447	488	2	.	.	PUNCT
cana-4447	489	1	[	[	X
cana-4447	489	2	7	7	X
cana-4447	489	3	]	]	X
cana-4447	489	4	diana	diana	PROPN
cana-4447	489	5	nagpal	nagpal	PROPN
cana-4447	489	6	.	.	PUNCT
cana-4447	489	7	,	,	PUNCT
cana-4447	489	8	&	&	CCONJ
cana-4447	489	9	shikha	shikha	PROPN
cana-4447	489	10	gupta	gupta	PROPN
cana-4447	489	11	.	.	PUNCT
cana-4447	490	1	(	(	PUNCT
cana-4447	490	2	2023	2023	NUM
cana-4447	490	3	)	)	PUNCT
cana-4447	490	4	.	.	PUNCT
cana-4447	491	1	human	human	ADJ
cana-4447	491	2	activity	activity	NOUN
cana-4447	491	3	recognition	recognition	NOUN
cana-4447	491	4	and	and	CCONJ
cana-4447	491	5	prediction	prediction	NOUN
cana-4447	491	6	:	:	PUNCT
cana-4447	491	7	overview	overview	NOUN
cana-4447	491	8	and	and	CCONJ
cana-4447	491	9	research	research	NOUN
cana-4447	491	10	gaps	gap	NOUN
cana-4447	491	11	.	.	PUNCT
cana-4447	492	1	ieee	ieee	PROPN
cana-4447	492	2	8th	8th	PROPN
cana-4447	492	3	international	international	ADJ
cana-4447	492	4	conference	conference	NOUN
cana-4447	492	5	for	for	ADP
cana-4447	492	6	convergence	convergence	NOUN
cana-4447	492	7	in	in	ADP
cana-4447	492	8	technology	technology	NOUN
cana-4447	492	9	(	(	PUNCT
cana-4447	492	10	i2ct	i2ct	NOUN
cana-4447	492	11	)	)	PUNCT
cana-4447	492	12	.	.	PUNCT
cana-4447	493	1	16	16	NUM
cana-4447	493	2	.	.	PUNCT
cana-4447	494	1	http://dx.doi.org/10.1109/i2ct57861.2023.10126458	http://dx.doi.org/10.1109/i2ct57861.2023.10126458	PROPN
cana-4447	494	2	.	.	PUNCT
cana-4447	495	1	[	[	X
cana-4447	495	2	8	8	NUM
cana-4447	495	3	]	]	X
cana-4447	495	4	fath	fath	PROPN
cana-4447	495	5	,	,	PUNCT
cana-4447	495	6	u	u	PROPN
cana-4447	495	7	min	min	PROPN
cana-4447	495	8	ullah	ullah	PROPN
cana-4447	495	9	.	.	PROPN
cana-4447	495	10	,	,	PUNCT
cana-4447	495	11	zulfiqar	zulfiqar	PROPN
cana-4447	495	12	ahmad	ahmad	PROPN
cana-4447	495	13	khan	khan	PROPN
cana-4447	495	14	.	.	PROPN
cana-4447	495	15	,	,	PUNCT
cana-4447	495	16	sung	sung	PROPN
cana-4447	495	17	wook	wook	NOUN
cana-4447	495	18	baik	baik	PROPN
cana-4447	495	19	.	.	PROPN
cana-4447	495	20	,	,	PUNCT
cana-4447	495	21	estefania	estefania	PROPN
cana-4447	495	22	talavera	talavera	PROPN
cana-4447	495	23	.	.	PROPN
cana-4447	495	24	,	,	PUNCT
cana-4447	495	25	saeed	saeed	PROPN
cana-4447	495	26	anwar	anwar	PROPN
cana-4447	495	27	.	.	PROPN
cana-4447	495	28	,	,	PUNCT
cana-4447	495	29	&	&	CCONJ
cana-4447	495	30	khan	khan	PROPN
cana-4447	495	31	muhammad	muhammad	PROPN
cana-4447	495	32	.	.	PUNCT
cana-4447	495	33	(	(	PUNCT
cana-4447	495	34	2024	2024	NUM
cana-4447	495	35	)	)	PUNCT
cana-4447	495	36	.	.	PUNCT
cana-4447	496	1	dual	dual	ADJ
cana-4447	496	2	deep	deep	ADJ
cana-4447	496	3	learning	learning	NOUN
cana-4447	496	4	network	network	NOUN
cana-4447	496	5	for	for	ADP
cana-4447	496	6	abnormal	abnormal	ADJ
cana-4447	496	7	action	action	NOUN
cana-4447	496	8	detection	detection	NOUN
cana-4447	496	9	.	.	PUNCT
cana-4447	497	1	ieee	ieee	PROPN
cana-4447	497	2	.	.	PUNCT
cana-4447	498	1	18	18	NUM
cana-4447	498	2	.	.	X
cana-4447	498	3	https://doi.org/10.1109/avss61716.2024.10672568	https://doi.org/10.1109/avss61716.2024.10672568	PROPN
cana-4447	498	4	.	.	PUNCT
cana-4447	499	1	[	[	X
cana-4447	499	2	9	9	NUM
cana-4447	499	3	]	]	X
cana-4447	499	4	jong	jong	PROPN
cana-4447	499	5	-	-	PUNCT
cana-4447	499	6	wook	wook	NOUN
cana-4447	499	7	kim	kim	PROPN
cana-4447	499	8	.	.	PROPN
cana-4447	499	9	,	,	PUNCT
cana-4447	499	10	jin	jin	NOUN
cana-4447	499	11	-	-	PUNCT
cana-4447	499	12	young	young	ADJ
cana-4447	499	13	choi	choi	NOUN
cana-4447	499	14	.	.	PUNCT
cana-4447	500	1	,	,	PUNCT
cana-4447	500	2	eun	eun	PROPN
cana-4447	500	3	-	-	PUNCT
cana-4447	500	4	ju	ju	PROPN
cana-4447	500	5	ha	ha	INTJ
cana-4447	500	6	.	.	PROPN
cana-4447	500	7	,	,	PUNCT
cana-4447	500	8	&	&	CCONJ
cana-4447	500	9	jae	jae	PROPN
cana-4447	500	10	-	-	PUNCT
cana-4447	500	11	ho	ho	PROPN
cana-4447	500	12	choi	choi	NOUN
cana-4447	500	13	.	.	PUNCT
cana-4447	501	1	(	(	PUNCT
cana-4447	501	2	2023	2023	NUM
cana-4447	501	3	)	)	PUNCT
cana-4447	501	4	.	.	PUNCT
cana-4447	502	1	human	human	ADJ
cana-4447	502	2	pose	pose	NOUN
cana-4447	502	3	estimation	estimation	NOUN
cana-4447	502	4	using	use	VERB
cana-4447	502	5	mediapipe	mediapipe	NOUN
cana-4447	502	6	pose	pose	NOUN
cana-4447	502	7	and	and	CCONJ
cana-4447	502	8	optimization	optimization	NOUN
cana-4447	502	9	method	method	NOUN
cana-4447	502	10	based	base	VERB
cana-4447	502	11	on	on	ADP
cana-4447	502	12	a	a	DET
cana-4447	502	13	humanoid	humanoid	NOUN
cana-4447	502	14	model	model	NOUN
cana-4447	502	15	.	.	PUNCT
cana-4447	503	1	applied	apply	VERB
cana-4447	503	2	sciences.13(14):1	sciences.13(14):1	PROPN
cana-4447	503	3	-	-	PUNCT
cana-4447	503	4	21	21	NUM
cana-4447	503	5	.	.	PUNCT
cana-4447	504	1	https://doi.org/10.3390/app13042700	https://doi.org/10.3390/app13042700	NOUN
cana-4447	504	2	.	.	PUNCT
cana-4447	505	1	https://vciba.springeropen.com/articles/10.1186/s42492-021-00075-z#auth-neil-shah-aff1	https://vciba.springeropen.com/articles/10.1186/s42492-021-00075-z#auth-neil-shah-aff1	PROPN
cana-4447	505	2	https://vciba.springeropen.com/articles/10.1186/s42492-021-00075-z#auth-nandish-bhagat-aff1	https://vciba.springeropen.com/articles/10.1186/s42492-021-00075-z#auth-nandish-bhagat-aff1	PROPN
cana-4447	505	3	https://vciba.springeropen.com/articles/10.1186/s42492-021-00075-z#auth-manan-shah-aff2	https://vciba.springeropen.com/articles/10.1186/s42492-021-00075-z#auth-manan-shah-aff2	VERB
cana-4447	505	4	https://doi.org/10.1186/s42492-021-00075-z	https://doi.org/10.1186/s42492-021-00075-z	PRON
cana-4447	505	5	https://doi.org/10.3390/s20174944	https://doi.org/10.3390/s20174944	NUM
cana-4447	505	6	https://doi.org/10.5772/intechopen.92863	https://doi.org/10.5772/intechopen.92863	ADJ
cana-4447	505	7	https://doi.org/10.3390/math11030521	https://doi.org/10.3390/math11030521	NOUN
cana-4447	505	8	http://dx.doi.org/10.1109/icceic51584.2020.00029	http://dx.doi.org/10.1109/icceic51584.2020.00029	PROPN
cana-4447	505	9	https://journals.sagepub.com/doi/full/10.1177/08862605221090571#con1	https://journals.sagepub.com/doi/full/10.1177/08862605221090571#con1	NOUN
cana-4447	505	10	https://journals.sagepub.com/doi/full/10.1177/08862605221090571#con2	https://journals.sagepub.com/doi/full/10.1177/08862605221090571#con2	NOUN
cana-4447	505	11	https://journals.sagepub.com/doi/full/10.1177/08862605221090571#con3	https://journals.sagepub.com/doi/full/10.1177/08862605221090571#con3	VERB
cana-4447	505	12	https://journals.sagepub.com/home/jiv	https://journals.sagepub.com/home/jiv	PROPN
cana-4447	505	13	https://journals.sagepub.com/home/jiv	https://journals.sagepub.com/home/jiv	PROPN
cana-4447	505	14	https://doi.org/10.1177/08862605221090571	https://doi.org/10.1177/08862605221090571	PROPN
cana-4447	505	15	https://www.researchgate.net/profile/diana-nagpal-2?_tp=eyjjb250zxh0ijp7imzpcnn0ugfnzsi6inb1ymxpy2f0aw9uiiwicgfnzsi6inb1ymxpy2f0aw9uin19	https://www.researchgate.net/profile/diana-nagpal-2?_tp=eyjjb250zxh0ijp7imzpcnn0ugfnzsi6inb1ymxpy2f0aw9uiiwicgfnzsi6inb1ymxpy2f0aw9uin19	VERB
cana-4447	505	16	https://www.researchgate.net/profile/shikha-gupta-18?_tp=eyjjb250zxh0ijp7imzpcnn0ugfnzsi6inb1ymxpy2f0aw9uiiwicgfnzsi6inb1ymxpy2f0aw9uin19	https://www.researchgate.net/profile/shikha-gupta-18?_tp=eyjjb250zxh0ijp7imzpcnn0ugfnzsi6inb1ymxpy2f0aw9uiiwicgfnzsi6inb1ymxpy2f0aw9uin19	X
cana-4447	505	17	http://dx.doi.org/10.1109/i2ct57861.2023.10126458	http://dx.doi.org/10.1109/i2ct57861.2023.10126458	PUNCT
cana-4447	505	18	https://doi.org/10.1109/avss61716.2024.10672568	https://doi.org/10.1109/avss61716.2024.10672568	PROPN
cana-4447	505	19	https://doi.org/10.3390/app13042700	https://doi.org/10.3390/app13042700	PROPN
cana-4447	505	20	communications	communication	NOUN
cana-4447	505	21	on	on	ADP
cana-4447	505	22	applied	apply	VERB
cana-4447	505	23	nonlinear	nonlinear	ADJ
cana-4447	505	24	analysis	analysis	NOUN
cana-4447	505	25	issn	issn	NOUN
cana-4447	505	26	:	:	PUNCT
cana-4447	505	27	1074	1074	NUM
cana-4447	505	28	-	-	PUNCT
cana-4447	505	29	133x	133x	NUM
cana-4447	505	30	vol	vol	NOUN
cana-4447	505	31	32	32	NUM
cana-4447	505	32	no	no	NOUN
cana-4447	505	33	.	.	PUNCT
cana-4447	506	1	9s	9s	NUM
cana-4447	506	2	(	(	PUNCT
cana-4447	506	3	2025	2025	NUM
cana-4447	506	4	)	)	PUNCT
cana-4447	506	5	2074	2074	NUM
cana-4447	506	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-4447	507	1	[	[	X
cana-4447	507	2	10	10	NUM
cana-4447	507	3	]	]	PUNCT
cana-4447	507	4	shibhangi	shibhangi	PROPN
cana-4447	507	5	kedar	kedar	PROPN
cana-4447	507	6	.	.	PROPN
cana-4447	507	7	,	,	PUNCT
cana-4447	507	8	shivkanya	shivkanya	PROPN
cana-4447	507	9	doiphode	doiphode	NOUN
cana-4447	507	10	.	.	PUNCT
cana-4447	507	11	,	,	PUNCT
cana-4447	507	12	ankita	ankita	PROPN
cana-4447	507	13	gaikwad	gaikwad	PROPN
cana-4447	507	14	.	.	PUNCT
cana-4447	507	15	,	,	PUNCT
cana-4447	507	16	divya	divya	PROPN
cana-4447	507	17	kurumkar	kurumkar	PROPN
cana-4447	507	18	.	.	PUNCT
cana-4447	507	19	,	,	PUNCT
cana-4447	507	20	&	&	CCONJ
cana-4447	507	21	swati	swati	PROPN
cana-4447	507	22	shekapure	shekapure	PROPN
cana-4447	507	23	.	.	PUNCT
cana-4447	508	1	(	(	PUNCT
cana-4447	508	2	2023	2023	NUM
cana-4447	508	3	)	)	PUNCT
cana-4447	508	4	.	.	PUNCT
cana-4447	509	1	human	human	ADJ
cana-4447	509	2	activity	activity	NOUN
cana-4447	509	3	identification	identification	NOUN
cana-4447	509	4	using	use	VERB
cana-4447	509	5	pose	pose	NOUN
cana-4447	509	6	estimation	estimation	NOUN
cana-4447	509	7	.	.	PUNCT
cana-4447	510	1	int	int	NOUN
cana-4447	510	2	.	.	PUNCT
cana-4447	511	1	j.	j.	PROPN
cana-4447	511	2	res	res	PROPN
cana-4447	511	3	.	.	PUNCT
cana-4447	512	1	pub	pub	NOUN
cana-4447	512	2	.	.	PUNCT
cana-4447	513	1	rev	rev	PROPN
cana-4447	513	2	.	.	PUNCT
cana-4447	514	1	4(3):1463	4(3):1463	NUM
cana-4447	514	2	-	-	PUNCT
cana-4447	514	3	1469	1469	NUM
cana-4447	514	4	.	.	PUNCT
cana-4447	515	1	[	[	X
cana-4447	515	2	11	11	NUM
cana-4447	515	3	]	]	X
cana-4447	515	4	amaury	amaury	PROPN
cana-4447	515	5	auguste	auguste	PROPN
cana-4447	515	6	.	.	PROPN
cana-4447	515	7	,	,	PUNCT
cana-4447	515	8	wissam	wissam	PROPN
cana-4447	515	9	kaddah	kaddah	PROPN
cana-4447	515	10	.	.	PROPN
cana-4447	515	11	,	,	PUNCT
cana-4447	515	12	marwa	marwa	PROPN
cana-4447	515	13	elbouz	elbouz	PROPN
cana-4447	515	14	.	.	PUNCT
cana-4447	515	15	,	,	PUNCT
cana-4447	515	16	ghislain	ghislain	VERB
cana-4447	515	17	oudinet	oudinet	NOUN
cana-4447	515	18	.	.	PUNCT
cana-4447	515	19	,	,	PUNCT
cana-4447	515	20	&	&	CCONJ
cana-4447	515	21	ayman	ayman	PROPN
cana-4447	515	22	alfalou	alfalou	PROPN
cana-4447	515	23	.	.	PUNCT
cana-4447	516	1	(	(	PUNCT
cana-4447	516	2	2021	2021	NUM
cana-4447	516	3	)	)	PUNCT
cana-4447	516	4	.	.	PUNCT
cana-4447	517	1	behavioral	behavioral	ADJ
cana-4447	517	2	analysis	analysis	NOUN
cana-4447	517	3	and	and	CCONJ
cana-4447	517	4	individual	individual	ADJ
cana-4447	517	5	tracking	tracking	NOUN
cana-4447	517	6	based	base	VERB
cana-4447	517	7	on	on	ADP
cana-4447	517	8	kalman	kalman	PROPN
cana-4447	517	9	filter	filter	PROPN
cana-4447	517	10	:	:	PUNCT
cana-4447	517	11	application	application	NOUN
cana-4447	517	12	in	in	ADP
cana-4447	517	13	an	an	DET
cana-4447	517	14	urban	urban	ADJ
cana-4447	517	15	environment	environment	NOUN
cana-4447	517	16	.	.	PUNCT
cana-4447	518	1	sensors	sensor	NOUN
cana-4447	518	2	.	.	PUNCT
cana-4447	519	1	21(21	21(21	NUM
cana-4447	519	2	):	):	PUNCT
cana-4447	519	3	1	1	NUM
cana-4447	519	4	-	-	SYM
cana-4447	519	5	19	19	NUM
cana-4447	519	6	.	.	PUNCT
cana-4447	520	1	https://doi.org/10.3390/s21217234	https://doi.org/10.3390/s21217234	NUM
cana-4447	520	2	.	.	PUNCT
cana-4447	521	1	[	[	X
cana-4447	521	2	12	12	NUM
cana-4447	521	3	]	]	PUNCT
cana-4447	521	4	yuting	yute	VERB
cana-4447	521	5	bai	bai	PROPN
cana-4447	521	6	.	.	PUNCT
cana-4447	521	7	,	,	PUNCT
cana-4447	521	8	bin	bin	PROPN
cana-4447	521	9	yan	yan	PROPN
cana-4447	521	10	.	.	PROPN
cana-4447	521	11	,	,	PUNCT
cana-4447	521	12	chenguang	chenguang	PROPN
cana-4447	521	13	zhou	zhou	PROPN
cana-4447	521	14	.	.	PROPN
cana-4447	521	15	,	,	PUNCT
cana-4447	521	16	tingli	tingli	PROPN
cana-4447	521	17	su	su	PROPN
cana-4447	521	18	.	.	PROPN
cana-4447	521	19	,	,	PUNCT
cana-4447	521	20	&	&	CCONJ
cana-4447	521	21	xuebo	xuebo	PROPN
cana-4447	521	22	jin	jin	PROPN
cana-4447	521	23	.	.	PUNCT
cana-4447	522	1	(	(	PUNCT
cana-4447	522	2	2023	2023	NUM
cana-4447	522	3	)	)	PUNCT
cana-4447	522	4	.	.	PUNCT
cana-4447	523	1	state	state	NOUN
cana-4447	523	2	of	of	ADP
cana-4447	523	3	art	art	NOUN
cana-4447	523	4	on	on	ADP
cana-4447	523	5	state	state	NOUN
cana-4447	523	6	estimation	estimation	NOUN
cana-4447	523	7	:	:	PUNCT
cana-4447	523	8	kalman	kalman	NOUN
cana-4447	523	9	filter	filter	NOUN
cana-4447	523	10	driven	drive	VERB
cana-4447	523	11	by	by	ADP
cana-4447	523	12	machine	machine	NOUN
cana-4447	523	13	learning	learning	NOUN
cana-4447	523	14	.	.	PUNCT
cana-4447	524	1	annual	annual	ADJ
cana-4447	524	2	reviews	review	NOUN
cana-4447	524	3	in	in	ADP
cana-4447	524	4	control	control	NOUN
cana-4447	524	5	.	.	PUNCT
cana-4447	525	1	56	56	NUM
cana-4447	525	2	;	;	PUNCT
cana-4447	525	3	1	1	NUM
cana-4447	525	4	-	-	SYM
cana-4447	525	5	12	12	NUM
cana-4447	525	6	.	.	PUNCT
cana-4447	526	1	https://doi.org/10.1016/j.arcontrol.2023.100909	https://doi.org/10.1016/j.arcontrol.2023.100909	NOUN
cana-4447	526	2	.	.	PUNCT
cana-4447	527	1	[	[	X
cana-4447	527	2	13	13	NUM
cana-4447	527	3	]	]	PUNCT
cana-4447	527	4	azadeh	azadeh	PROPN
cana-4447	527	5	emami	emami	PROPN
cana-4447	527	6	.	.	PUNCT
cana-4447	527	7	,	,	PUNCT
cana-4447	527	8	majid	majid	PROPN
cana-4447	527	9	sarvi	sarvi	PROPN
cana-4447	527	10	.	.	PROPN
cana-4447	527	11	,	,	PUNCT
cana-4447	527	12	&	&	CCONJ
cana-4447	527	13	saeed	saeed	PROPN
cana-4447	527	14	asadi	asadi	PROPN
cana-4447	527	15	bagloee	bagloee	PROPN
cana-4447	527	16	.	.	PUNCT
cana-4447	528	1	(	(	PUNCT
cana-4447	528	2	2019	2019	NUM
cana-4447	528	3	)	)	PUNCT
cana-4447	528	4	.	.	PUNCT
cana-4447	529	1	using	use	VERB
cana-4447	529	2	kalman	kalman	PROPN
cana-4447	529	3	filter	filter	NOUN
cana-4447	529	4	algorithm	algorithm	NOUN
cana-4447	529	5	for	for	ADP
cana-4447	529	6	short	short	ADJ
cana-4447	529	7	-	-	PUNCT
cana-4447	529	8	term	term	NOUN
cana-4447	529	9	traffic	traffic	NOUN
cana-4447	529	10	flow	flow	NOUN
cana-4447	529	11	prediction	prediction	NOUN
cana-4447	529	12	in	in	ADP
cana-4447	529	13	a	a	DET
cana-4447	529	14	connected	connected	ADJ
cana-4447	529	15	vehicle	vehicle	NOUN
cana-4447	529	16	environment	environment	NOUN
cana-4447	529	17	.	.	PUNCT
cana-4447	530	1	journal	journal	PROPN
cana-4447	530	2	of	of	ADP
cana-4447	530	3	modern	modern	ADJ
cana-4447	530	4	transportation	transportation	NOUN
cana-4447	530	5	.	.	PUNCT
cana-4447	531	1	27	27	NUM
cana-4447	531	2	;	;	PUNCT
cana-4447	531	3	222	222	NUM
cana-4447	531	4	-	-	SYM
cana-4447	531	5	232	232	NUM
cana-4447	531	6	.	.	PUNCT
cana-4447	531	7	https://doi.org/10.1007/s40534-019-0193-2	https://doi.org/10.1007/s40534-019-0193-2	PROPN
cana-4447	531	8	.	.	PUNCT
cana-4447	532	1	[	[	X
cana-4447	532	2	14	14	NUM
cana-4447	532	3	]	]	PUNCT
cana-4447	532	4	tehseen	tehseen	PROPN
cana-4447	532	5	,	,	PUNCT
cana-4447	532	6	a.	a.	NOUN
cana-4447	532	7	,	,	PUNCT
cana-4447	532	8	sohail	sohail	PROPN
cana-4447	532	9	,	,	PUNCT
cana-4447	532	10	k.	k.	PROPN
cana-4447	532	11	,	,	PUNCT
cana-4447	532	12	shaheryar	shaheryar	NOUN
cana-4447	532	13	,	,	PUNCT
cana-4447	532	14	n.	n.	NOUN
cana-4447	532	15	,	,	PUNCT
cana-4447	532	16	muhammad	muhammad	PROPN
cana-4447	532	17	,	,	PUNCT
cana-4447	532	18	a.	a.	PROPN
cana-4447	532	19	k.	k.	PROPN
cana-4447	532	20	,	,	PUNCT
cana-4447	532	21	ye	ye	PROPN
cana-4447	532	22	,	,	PUNCT
cana-4447	532	23	j.	j.	PROPN
cana-4447	532	24	k.	k.	PROPN
cana-4447	532	25	,	,	PUNCT
cana-4447	532	26	&	&	CCONJ
cana-4447	532	27	byoungchol	byoungchol	NOUN
cana-4447	532	28	,	,	PUNCT
cana-4447	532	29	c.	c.	NOUN
cana-4447	532	30	(	(	PUNCT
cana-4447	532	31	2023	2023	NUM
cana-4447	532	32	)	)	PUNCT
cana-4447	532	33	.	.	PUNCT
cana-4447	533	1	hrneto	hrneto	PROPN
cana-4447	533	2	:	:	PUNCT
cana-4447	533	3	human	human	ADJ
cana-4447	533	4	action	action	NOUN
cana-4447	533	5	recognition	recognition	NOUN
cana-4447	533	6	using	use	VERB
cana-4447	533	7	unified	unified	ADJ
cana-4447	533	8	deep	deep	ADJ
cana-4447	533	9	features	feature	NOUN
cana-4447	533	10	optimization	optimization	NOUN
cana-4447	533	11	framework	framework	NOUN
cana-4447	533	12	,	,	PUNCT
cana-4447	533	13	computers	computer	NOUN
cana-4447	533	14	.	.	PUNCT
cana-4447	534	1	materials	material	NOUN
cana-4447	534	2	&	&	CCONJ
cana-4447	534	3	continua	continuum	NOUN
cana-4447	534	4	.	.	PUNCT
cana-4447	535	1	75(1):1089	75(1):1089	NUM
cana-4447	535	2	-	-	SYM
cana-4447	535	3	1105	1105	NUM
cana-4447	535	4	.	.	PUNCT
cana-4447	536	1	https://doi.org/10.32604/cmc.2023.034563	https://doi.org/10.32604/cmc.2023.034563	NOUN
cana-4447	536	2	.	.	PUNCT
cana-4447	537	1	[	[	X
cana-4447	537	2	15	15	NUM
cana-4447	537	3	]	]	X
cana-4447	537	4	md	md	PROPN
cana-4447	537	5	,	,	PUNCT
cana-4447	537	6	a.	a.	PROPN
cana-4447	537	7	u.	u.	PROPN
cana-4447	537	8	,	,	PUNCT
cana-4447	537	9	md	md	PROPN
cana-4447	537	10	,	,	PUNCT
cana-4447	537	11	a.	a.	PROPN
cana-4447	537	12	t.	t.	PROPN
cana-4447	537	13	,	,	PUNCT
cana-4447	537	14	muhammad	muhammad	PROPN
cana-4447	537	15	,	,	PUNCT
cana-4447	537	16	s.	s.	PROPN
cana-4447	537	17	u.	u.	PROPN
cana-4447	537	18	,	,	PUNCT
cana-4447	537	19	chandan	chandan	PROPN
cana-4447	537	20	,	,	PUNCT
cana-4447	537	21	d.	d.	PROPN
cana-4447	537	22	,	,	PUNCT
cana-4447	537	23	moumita	moumita	PROPN
cana-4447	537	24	,	,	PUNCT
cana-4447	537	25	c.	c.	PROPN
cana-4447	537	26	,	,	PUNCT
cana-4447	537	27	souvik	souvik	NOUN
cana-4447	537	28	,	,	PUNCT
cana-4447	537	29	p.	p.	PROPN
cana-4447	537	30	,	,	PUNCT
cana-4447	537	31	md	md	PROPN
cana-4447	537	32	,	,	PUNCT
cana-4447	537	33	m.	m.	NOUN
cana-4447	537	34	i.	i.	PROPN
cana-4447	537	35	,	,	PUNCT
cana-4447	537	36	ansam	ansam	PROPN
cana-4447	537	37	,	,	PUNCT
cana-4447	537	38	k.	k.	PROPN
cana-4447	537	39	,	,	PUNCT
cana-4447	537	40	ammar	ammar	PROPN
cana-4447	537	41	,	,	PUNCT
cana-4447	537	42	a.	a.	PROPN
cana-4447	537	43	,	,	PUNCT
cana-4447	537	44	&	&	CCONJ
cana-4447	537	45	sunil	sunil	PROPN
cana-4447	537	46	,	,	PUNCT
cana-4447	537	47	a.	a.	NOUN
cana-4447	537	48	(	(	PUNCT
cana-4447	537	49	2024	2024	NUM
cana-4447	537	50	)	)	PUNCT
cana-4447	537	51	.	.	PUNCT
cana-4447	538	1	deep	deep	ADJ
cana-4447	538	2	learning	learning	NOUN
cana-4447	538	3	-	-	PUNCT
cana-4447	538	4	based	base	VERB
cana-4447	538	5	human	human	ADJ
cana-4447	538	6	activity	activity	NOUN
cana-4447	538	7	recognition	recognition	NOUN
cana-4447	538	8	using	use	VERB
cana-4447	538	9	cnn	cnn	PROPN
cana-4447	538	10	,	,	PUNCT
cana-4447	538	11	convlstm	convlstm	PROPN
cana-4447	538	12	,	,	PUNCT
cana-4447	538	13	and	and	CCONJ
cana-4447	538	14	lrcn	lrcn	PROPN
cana-4447	538	15	.	.	PUNCT
cana-4447	539	1	international	international	ADJ
cana-4447	539	2	journal	journal	PROPN
cana-4447	539	3	of	of	ADP
cana-4447	539	4	cognitive	cognitive	ADJ
cana-4447	539	5	computing	computing	NOUN
cana-4447	539	6	in	in	ADP
cana-4447	539	7	engineering	engineering	NOUN
cana-4447	539	8	.	.	PUNCT
cana-4447	540	1	5	5	NUM
cana-4447	540	2	;	;	PUNCT
cana-4447	540	3	259	259	NUM
cana-4447	540	4	-	-	SYM
cana-4447	540	5	268	268	NUM
cana-4447	540	6	.	.	PUNCT
cana-4447	541	1	https://doi.org/10.1016/j.ijcce.2024.06.004	https://doi.org/10.1016/j.ijcce.2024.06.004	PROPN
cana-4447	541	2	.	.	PUNCT
cana-4447	542	1	[	[	X
cana-4447	542	2	16	16	NUM
cana-4447	542	3	]	]	X
cana-4447	542	4	zhengkui	zhengkui	PROPN
cana-4447	542	5	weng	weng	PROPN
cana-4447	542	6	.	.	PUNCT
cana-4447	542	7	,	,	PUNCT
cana-4447	542	8	wuzhao	wuzhao	PROPN
cana-4447	542	9	li	li	PROPN
cana-4447	542	10	.	.	PROPN
cana-4447	542	11	,	,	PUNCT
cana-4447	542	12	&	&	CCONJ
cana-4447	542	13	zhipeng	zhipeng	PROPN
cana-4447	542	14	jin	jin	PROPN
cana-4447	542	15	.	.	PUNCT
cana-4447	543	1	(	(	PUNCT
cana-4447	543	2	2021	2021	NUM
cana-4447	543	3	)	)	PUNCT
cana-4447	543	4	.	.	PUNCT
cana-4447	544	1	human	human	ADJ
cana-4447	544	2	activity	activity	NOUN
cana-4447	544	3	prediction	prediction	NOUN
cana-4447	544	4	using	use	VERB
cana-4447	544	5	saliencyaware	saliencyaware	NOUN
cana-4447	544	6	motion	motion	NOUN
cana-4447	544	7	enhancement	enhancement	NOUN
cana-4447	544	8	and	and	CCONJ
cana-4447	544	9	weighted	weight	VERB
cana-4447	544	10	lstm	lstm	ADJ
cana-4447	544	11	network	network	NOUN
cana-4447	544	12	.	.	PUNCT
cana-4447	545	1	eurasip	eurasip	PROPN
cana-4447	545	2	journal	journal	PROPN
cana-4447	545	3	on	on	ADP
cana-4447	545	4	image	image	NOUN
cana-4447	545	5	and	and	CCONJ
cana-4447	545	6	video	video	NOUN
cana-4447	545	7	processing	processing	NOUN
cana-4447	545	8	.	.	PUNCT
cana-4447	546	1	3	3	NUM
cana-4447	546	2	;	;	PUNCT
cana-4447	546	3	1	1	NUM
cana-4447	546	4	-	-	SYM
cana-4447	546	5	23	23	NUM
cana-4447	546	6	.	.	PUNCT
cana-4447	547	1	https://doi.org/10.1186/s13640-020-00544-0	https://doi.org/10.1186/s13640-020-00544-0	NUM
cana-4447	547	2	.	.	PUNCT
cana-4447	548	1	[	[	X
cana-4447	548	2	17	17	NUM
cana-4447	548	3	]	]	X
cana-4447	548	4	ismael	ismael	PROPN
cana-4447	548	5	espinoza	espinoza	PROPN
cana-4447	548	6	jaramillo	jaramillo	PROPN
cana-4447	548	7	.	.	PUNCT
cana-4447	548	8	,	,	PUNCT
cana-4447	548	9	channabasava	channabasava	PROPN
cana-4447	548	10	chola	chola	PROPN
cana-4447	548	11	.	.	PROPN
cana-4447	548	12	,	,	PUNCT
cana-4447	548	13	jin	jin	NOUN
cana-4447	548	14	-	-	PUNCT
cana-4447	548	15	gyun	gyun	ADJ
cana-4447	548	16	jeong	jeong	PROPN
cana-4447	548	17	.	.	PROPN
cana-4447	548	18	,	,	PUNCT
cana-4447	548	19	ji	ji	PROPN
cana-4447	548	20	-	-	PROPN
cana-4447	548	21	heon	heon	PROPN
cana-4447	548	22	oh	oh	INTJ
cana-4447	548	23	,	,	PUNCT
cana-4447	548	24	hwanseok	hwanseok	PROPN
cana-4447	548	25	jung	jung	PROPN
cana-4447	548	26	.	.	PROPN
cana-4447	548	27	,	,	PUNCT
cana-4447	548	28	jin	jin	PROPN
cana-4447	548	29	-	-	PUNCT
cana-4447	548	30	hyuk	hyuk	PROPN
cana-4447	548	31	lee	lee	PROPN
cana-4447	548	32	.	.	PROPN
cana-4447	548	33	,	,	PUNCT
cana-4447	548	34	won	win	VERB
cana-4447	548	35	hee	hee	PROPN
cana-4447	548	36	lee	lee	PROPN
cana-4447	548	37	.	.	PROPN
cana-4447	548	38	,	,	PUNCT
cana-4447	548	39	&	&	CCONJ
cana-4447	548	40	tae	tae	PROPN
cana-4447	548	41	-	-	PUNCT
cana-4447	548	42	seong	seong	PROPN
cana-4447	548	43	kim	kim	PROPN
cana-4447	548	44	.	.	PUNCT
cana-4447	549	1	(	(	PUNCT
cana-4447	549	2	2023	2023	NUM
cana-4447	549	3	)	)	PUNCT
cana-4447	549	4	.	.	PUNCT
cana-4447	550	1	human	human	ADJ
cana-4447	550	2	activity	activity	NOUN
cana-4447	550	3	prediction	prediction	NOUN
cana-4447	550	4	based	base	VERB
cana-4447	550	5	on	on	ADP
cana-4447	550	6	forecasted	forecast	VERB
cana-4447	550	7	imu	imu	NOUN
cana-4447	550	8	activity	activity	NOUN
cana-4447	550	9	signals	signal	NOUN
cana-4447	550	10	by	by	ADP
cana-4447	550	11	sequence	sequence	NOUN
cana-4447	550	12	-	-	PUNCT
cana-4447	550	13	to	to	ADP
cana-4447	550	14	-	-	PUNCT
cana-4447	550	15	sequence	sequence	NOUN
cana-4447	550	16	deep	deep	ADJ
cana-4447	550	17	neural	neural	ADJ
cana-4447	550	18	networks	network	NOUN
cana-4447	550	19	.	.	PUNCT
cana-4447	551	1	sensors	sensor	NOUN
cana-4447	551	2	.	.	PUNCT
cana-4447	552	1	23(14):1	23(14):1	X
cana-4447	552	2	-	-	SYM
cana-4447	552	3	16	16	NUM
cana-4447	552	4	.	.	PUNCT
cana-4447	553	1	https://doi.org/10.3390/s23146491	https://doi.org/10.3390/s23146491	NUM
cana-4447	553	2	.	.	PUNCT
cana-4447	554	1	[	[	X
cana-4447	554	2	18	18	NUM
cana-4447	554	3	]	]	X
cana-4447	554	4	niek	niek	ADJ
cana-4447	554	5	tax	tax	NOUN
cana-4447	554	6	.	.	PUNCT
cana-4447	555	1	(	(	PUNCT
cana-4447	555	2	2018	2018	NUM
cana-4447	555	3	)	)	PUNCT
cana-4447	555	4	.	.	PUNCT
cana-4447	556	1	human	human	ADJ
cana-4447	556	2	activity	activity	NOUN
cana-4447	556	3	prediction	prediction	NOUN
cana-4447	556	4	in	in	ADP
cana-4447	556	5	smart	smart	ADJ
cana-4447	556	6	home	home	NOUN
cana-4447	556	7	environments	environment	NOUN
cana-4447	556	8	with	with	ADP
cana-4447	556	9	lstm	lstm	PROPN
cana-4447	556	10	neural	neural	ADJ
cana-4447	556	11	networks	network	NOUN
cana-4447	556	12	,	,	PUNCT
cana-4447	556	13	international	international	ADJ
cana-4447	556	14	conference	conference	NOUN
cana-4447	556	15	on	on	ADP
cana-4447	556	16	intelligent	intelligent	ADJ
cana-4447	556	17	environments	environment	NOUN
cana-4447	556	18	.	.	PUNCT
cana-4447	557	1	40	40	NUM
cana-4447	557	2	-	-	SYM
cana-4447	557	3	47	47	NUM
cana-4447	557	4	.	.	PUNCT
cana-4447	558	1	https://doi.org/10.1109/ie.2018.00014	https://doi.org/10.1109/ie.2018.00014	NOUN
cana-4447	558	2	.	.	PUNCT
cana-4447	559	1	[	[	X
cana-4447	559	2	19	19	NUM
cana-4447	559	3	]	]	X
cana-4447	559	4	yegang	yegang	X
cana-4447	559	5	du	du	PROPN
cana-4447	559	6	.	.	PROPN
cana-4447	559	7	,	,	PUNCT
cana-4447	559	8	yuto	yuto	PROPN
cana-4447	559	9	lim	lim	PROPN
cana-4447	559	10	.	.	PROPN
cana-4447	559	11	,	,	PUNCT
cana-4447	559	12	&	&	CCONJ
cana-4447	559	13	yasuo	yasuo	PROPN
cana-4447	559	14	tan	tan	PROPN
cana-4447	559	15	.	.	PUNCT
cana-4447	560	1	(	(	PUNCT
cana-4447	560	2	2019	2019	NUM
cana-4447	560	3	)	)	PUNCT
cana-4447	560	4	.	.	PUNCT
cana-4447	561	1	a	a	DET
cana-4447	561	2	novel	novel	ADJ
cana-4447	561	3	human	human	ADJ
cana-4447	561	4	activity	activity	NOUN
cana-4447	561	5	recognition	recognition	NOUN
cana-4447	561	6	and	and	CCONJ
cana-4447	561	7	prediction	prediction	NOUN
cana-4447	561	8	in	in	ADP
cana-4447	561	9	smart	smart	ADJ
cana-4447	561	10	home	home	NOUN
cana-4447	561	11	based	base	VERB
cana-4447	561	12	on	on	ADP
cana-4447	561	13	interaction	interaction	NOUN
cana-4447	561	14	.	.	PUNCT
cana-4447	562	1	sensors	sensor	NOUN
cana-4447	562	2	.	.	PUNCT
cana-4447	563	1	19(20):1	19(20):1	X
cana-4447	563	2	-	-	SYM
cana-4447	563	3	16	16	NUM
cana-4447	563	4	.	.	PUNCT
cana-4447	564	1	https://doi.org/10.3390/s19204474	https://doi.org/10.3390/s19204474	ADV
cana-4447	564	2	.	.	PUNCT
cana-4447	565	1	[	[	X
cana-4447	565	2	20	20	NUM
cana-4447	565	3	]	]	X
cana-4447	565	4	morsheda	morsheda	NOUN
cana-4447	565	5	akter	akter	NOUN
cana-4447	565	6	.	.	PUNCT
cana-4447	565	7	,	,	PUNCT
cana-4447	565	8	shafew	shafew	ADJ
cana-4447	565	9	ansary	ansary	NOUN
cana-4447	565	10	.	.	PUNCT
cana-4447	565	11	,	,	PUNCT
cana-4447	565	12	md	md	PROPN
cana-4447	565	13	.	.	PUNCT
cana-4447	566	1	al	al	PROPN
cana-4447	566	2	-	-	PUNCT
cana-4447	566	3	masrur	masrur	PROPN
cana-4447	566	4	khan	khan	PROPN
cana-4447	566	5	.	.	PUNCT
cana-4447	566	6	,	,	PUNCT
cana-4447	566	7	&	&	CCONJ
cana-4447	566	8	dongwan	dongwan	PROPN
cana-4447	566	9	kim	kim	PROPN
cana-4447	566	10	.	.	PUNCT
cana-4447	567	1	(	(	PUNCT
cana-4447	567	2	2023	2023	NUM
cana-4447	567	3	)	)	PUNCT
cana-4447	567	4	.	.	PUNCT
cana-4447	568	1	human	human	ADJ
cana-4447	568	2	activity	activity	NOUN
cana-4447	568	3	recognition	recognition	NOUN
cana-4447	568	4	using	use	VERB
cana-4447	568	5	attention	attention	NOUN
cana-4447	568	6	-	-	PUNCT
cana-4447	568	7	mechanism	mechanism	NOUN
cana-4447	568	8	-	-	PUNCT
cana-4447	568	9	based	base	VERB
cana-4447	568	10	deep	deep	ADJ
cana-4447	568	11	learning	learn	VERB
cana-4447	568	12	feature	feature	NOUN
cana-4447	568	13	combination	combination	NOUN
cana-4447	568	14	.	.	PUNCT
cana-4447	569	1	sensors	sensor	NOUN
cana-4447	569	2	.	.	PUNCT
cana-4447	570	1	23(12):1	23(12):1	NOUN
cana-4447	570	2	-	-	SYM
cana-4447	570	3	15	15	NUM
cana-4447	570	4	.	.	PUNCT
cana-4447	571	1	https://doi.org/10.3390/s23125715	https://doi.org/10.3390/s23125715	NOUN
cana-4447	571	2	.	.	PUNCT
cana-4447	572	1	[	[	X
cana-4447	572	2	21	21	NUM
cana-4447	572	3	]	]	X
cana-4447	572	4	jiaji	jiaji	PROPN
cana-4447	572	5	liu	liu	PROPN
cana-4447	572	6	.	.	PROPN
cana-4447	572	7	,	,	PUNCT
cana-4447	572	8	xiaofang	xiaofang	PROPN
cana-4447	572	9	mu	mu	PROPN
cana-4447	572	10	.	.	PROPN
cana-4447	572	11	,	,	PUNCT
cana-4447	572	12	zhenyu	zhenyu	PROPN
cana-4447	572	13	liu	liu	PROPN
cana-4447	572	14	.	.	PROPN
cana-4447	572	15	,	,	PUNCT
cana-4447	572	16	&	&	CCONJ
cana-4447	572	17	hao	hao	PROPN
cana-4447	572	18	li	li	PROPN
cana-4447	572	19	.	.	PROPN
cana-4447	572	20	(	(	PUNCT
cana-4447	572	21	2023	2023	NUM
cana-4447	572	22	)	)	PUNCT
cana-4447	572	23	.	.	PUNCT
cana-4447	573	1	human	human	ADJ
cana-4447	573	2	skeleton	skeleton	PROPN
cana-4447	573	3	behavior	behavior	NOUN
cana-4447	573	4	recognition	recognition	NOUN
cana-4447	573	5	model	model	NOUN
cana-4447	573	6	based	base	VERB
cana-4447	573	7	on	on	ADP
cana-4447	573	8	multi	multi	ADJ
cana-4447	573	9	-	-	ADJ
cana-4447	573	10	object	object	ADJ
cana-4447	573	11	pose	pose	NOUN
cana-4447	573	12	estimation	estimation	NOUN
cana-4447	573	13	with	with	ADP
cana-4447	573	14	spatiotemporal	spatiotemporal	ADJ
cana-4447	573	15	semantics	semantic	NOUN
cana-4447	573	16	.	.	PUNCT
cana-4447	574	1	machine	machine	NOUN
cana-4447	574	2	vision	vision	NOUN
cana-4447	574	3	and	and	CCONJ
cana-4447	574	4	applications	application	NOUN
cana-4447	574	5	.	.	PUNCT
cana-4447	575	1	34(44):1	34(44):1	NUM
cana-4447	575	2	-	-	SYM
cana-4447	575	3	13	13	NUM
cana-4447	575	4	.	.	PUNCT
cana-4447	576	1	https://doi.org/10.1007/s00138-023-01396-0	https://doi.org/10.1007/s00138-023-01396-0	NUM
cana-4447	576	2	.	.	PUNCT
cana-4447	577	1	[	[	X
cana-4447	577	2	22	22	NUM
cana-4447	577	3	]	]	X
cana-4447	577	4	jong	jong	PROPN
cana-4447	577	5	-	-	PUNCT
cana-4447	577	6	wook	wook	NOUN
cana-4447	577	7	kim	kim	PROPN
cana-4447	577	8	.	.	PROPN
cana-4447	577	9	,	,	PUNCT
cana-4447	577	10	jin	jin	NOUN
cana-4447	577	11	-	-	PUNCT
cana-4447	577	12	young	young	ADJ
cana-4447	577	13	choi	choi	NOUN
cana-4447	577	14	.	.	PUNCT
cana-4447	578	1	,	,	PUNCT
cana-4447	578	2	eun	eun	PROPN
cana-4447	578	3	-	-	PUNCT
cana-4447	578	4	ju	ju	PROPN
cana-4447	578	5	ha	ha	INTJ
cana-4447	578	6	.	.	PROPN
cana-4447	578	7	,	,	PUNCT
cana-4447	578	8	&	&	CCONJ
cana-4447	578	9	jae	jae	PROPN
cana-4447	578	10	-	-	PUNCT
cana-4447	578	11	ho	ho	PROPN
cana-4447	578	12	choi	choi	NOUN
cana-4447	578	13	.	.	PUNCT
cana-4447	579	1	(	(	PUNCT
cana-4447	579	2	2023	2023	NUM
cana-4447	579	3	)	)	PUNCT
cana-4447	579	4	.	.	PUNCT
cana-4447	580	1	human	human	ADJ
cana-4447	580	2	pose	pose	NOUN
cana-4447	580	3	estimation	estimation	NOUN
cana-4447	580	4	using	use	VERB
cana-4447	580	5	mediapipe	mediapipe	NOUN
cana-4447	580	6	pose	pose	NOUN
cana-4447	580	7	and	and	CCONJ
cana-4447	580	8	optimization	optimization	NOUN
cana-4447	580	9	method	method	NOUN
cana-4447	580	10	based	base	VERB
cana-4447	580	11	on	on	ADP
cana-4447	580	12	a	a	DET
cana-4447	580	13	humanoid	humanoid	NOUN
cana-4447	580	14	model	model	NOUN
cana-4447	580	15	.	.	PUNCT
cana-4447	581	1	applied	apply	VERB
cana-4447	581	2	sciences.13(4):1	sciences.13(4):1	PROPN
cana-4447	581	3	-	-	PUNCT
cana-4447	581	4	21	21	NUM
cana-4447	581	5	.	.	PUNCT
cana-4447	581	6	https://doi.org/10.3390/app13042700	https://doi.org/10.3390/app13042700	NOUN
cana-4447	581	7	.	.	PUNCT
cana-4447	582	1	[	[	X
cana-4447	582	2	23	23	NUM
cana-4447	582	3	]	]	SYM
cana-4447	582	4	yahong	yahong	PROPN
cana-4447	583	1	xu	xu	PROPN
cana-4447	583	2	.	.	PROPN
cana-4447	583	3	,	,	PUNCT
cana-4447	583	4	shoulin	shoulin	PROPN
cana-4447	583	5	wei	wei	PROPN
cana-4447	583	6	.	.	PROPN
cana-4447	583	7	,	,	PUNCT
cana-4447	583	8	&	&	CCONJ
cana-4447	583	9	jibin	jibin	PROPN
cana-4447	583	10	yin	yin	PROPN
cana-4447	583	11	.	.	PUNCT
cana-4447	584	1	(	(	PUNCT
cana-4447	584	2	2024	2024	NUM
cana-4447	584	3	)	)	PUNCT
cana-4447	584	4	.	.	PUNCT
cana-4447	585	1	optimization	optimization	NOUN
cana-4447	585	2	of	of	ADP
cana-4447	585	3	human	human	ADJ
cana-4447	585	4	posture	posture	NOUN
cana-4447	585	5	recognition	recognition	NOUN
cana-4447	585	6	based	base	VERB
cana-4447	585	7	on	on	ADP
cana-4447	585	8	multi	multi	ADJ
cana-4447	585	9	-	-	ADJ
cana-4447	585	10	view	view	ADJ
cana-4447	585	11	skeleton	skeleton	NOUN
cana-4447	585	12	data	datum	NOUN
cana-4447	585	13	fusion	fusion	NOUN
cana-4447	585	14	,	,	PUNCT
cana-4447	585	15	information	information	NOUN
cana-4447	585	16	technology	technology	NOUN
cana-4447	585	17	control	control	NOUN
cana-4447	585	18	.	.	PUNCT
cana-4447	586	1	53(2):542	53(2):542	NUM
cana-4447	586	2	-	-	PUNCT
cana-4447	586	3	553	553	NUM
cana-4447	586	4	.	.	PUNCT
cana-4447	587	1	https://doi.org/10.5755/j01.itc.53.2.36044	https://doi.org/10.5755/j01.itc.53.2.36044	X
cana-4447	588	1	[	[	X
cana-4447	588	2	24	24	NUM
cana-4447	588	3	]	]	X
cana-4447	588	4	ming	ming	PROPN
cana-4447	588	5	-	-	PUNCT
cana-4447	588	6	hwa	hwa	PROPN
cana-4447	588	7	sheu	sheu	PROPN
cana-4447	588	8	.	.	PUNCT
cana-4447	588	9	,	,	PUNCT
cana-4447	588	10	s.	s.	PROPN
cana-4447	588	11	m.	m.	PROPN
cana-4447	588	12	salahuddin	salahuddin	VERB
cana-4447	588	13	morsalin	morsalin	PROPN
cana-4447	588	14	.	.	PROPN
cana-4447	589	1	,	,	PUNCT
cana-4447	589	2	chung	chung	ADJ
cana-4447	589	3	-	-	PUNCT
cana-4447	589	4	chian	chian	ADJ
cana-4447	589	5	hsu	hsu	PROPN
cana-4447	589	6	.	.	PROPN
cana-4447	589	7	,	,	PUNCT
cana-4447	589	8	shin	shin	NOUN
cana-4447	589	9	-	-	PUNCT
cana-4447	589	10	chi	chi	PROPN
cana-4447	589	11	lai	lai	PROPN
cana-4447	589	12	.	.	PUNCT
cana-4447	589	13	,	,	PUNCT
cana-4447	589	14	szu	szu	ADJ
cana-4447	589	15	-	-	PUNCT
cana-4447	589	16	hong	hong	NOUN
cana-4447	589	17	wang	wang	PROPN
cana-4447	589	18	.	.	PUNCT
cana-4447	589	19	,	,	PUNCT
cana-4447	589	20	&	&	CCONJ
cana-4447	589	21	chuan	chuan	PROPN
cana-4447	589	22	-	-	PUNCT
cana-4447	589	23	yu	yu	PROPN
cana-4447	589	24	chang	chang	PROPN
cana-4447	589	25	.	.	PUNCT
cana-4447	590	1	(	(	PUNCT
cana-4447	590	2	2023	2023	NUM
cana-4447	590	3	)	)	PUNCT
cana-4447	590	4	.	.	PUNCT
cana-4447	591	1	improvement	improvement	NOUN
cana-4447	591	2	of	of	ADP
cana-4447	591	3	human	human	ADJ
cana-4447	591	4	pose	pose	NOUN
cana-4447	591	5	estimation	estimation	NOUN
cana-4447	591	6	and	and	CCONJ
cana-4447	591	7	processing	processing	NOUN
cana-4447	591	8	with	with	ADP
cana-4447	591	9	the	the	DET
cana-4447	591	10	intensive	intensive	ADJ
cana-4447	591	11	feature	feature	NOUN
cana-4447	591	12	consistency	consistency	NOUN
cana-4447	591	13	network	network	NOUN
cana-4447	591	14	.	.	PUNCT
cana-4447	592	1	ieee.1	ieee.1	ADV
cana-4447	592	2	-	-	PUNCT
cana-4447	592	3	15	15	NUM
cana-4447	592	4	.	.	PUNCT
cana-4447	593	1	https://doi.org/10.1109/access.2023.3258417	https://doi.org/10.1109/access.2023.3258417	PROPN
cana-4447	593	2	.	.	PUNCT
cana-4447	594	1	https://doi.org/10.3390/s21217234	https://doi.org/10.3390/s21217234	NUM
cana-4447	594	2	https://doi.org/10.1016/j.arcontrol.2023.100909	https://doi.org/10.1016/j.arcontrol.2023.100909	PROPN
cana-4447	594	3	https://link.springer.com/article/10.1007/s40534-019-0193-2#auth-azadeh-emami-aff1	https://link.springer.com/article/10.1007/s40534-019-0193-2#auth-azadeh-emami-aff1	PROPN
cana-4447	594	4	https://link.springer.com/article/10.1007/s40534-019-0193-2#auth-majid-sarvi-aff1	https://link.springer.com/article/10.1007/s40534-019-0193-2#auth-majid-sarvi-aff1	PROPN
cana-4447	594	5	https://link.springer.com/article/10.1007/s40534-019-0193-2#auth-saeed-asadi_bagloee-aff1	https://link.springer.com/article/10.1007/s40534-019-0193-2#auth-saeed-asadi_bagloee-aff1	NOUN
cana-4447	594	6	https://link.springer.com/journal/40534	https://link.springer.com/journal/40534	NOUN
cana-4447	594	7	https://link.springer.com/journal/40534	https://link.springer.com/journal/40534	NOUN
cana-4447	594	8	https://doi.org/10.1007/s40534-019-0193-2	https://doi.org/10.1007/s40534-019-0193-2	PROPN
cana-4447	594	9	https://doi.org/10.32604/cmc.2023.034563	https://doi.org/10.32604/cmc.2023.034563	PROPN
cana-4447	594	10	https://doi.org/10.1016/j.ijcce.2024.06.004	https://doi.org/10.1016/j.ijcce.2024.06.004	PROPN
cana-4447	594	11	https://doi.org/10.1186/s13640-020-00544-0	https://doi.org/10.1186/s13640-020-00544-0	NUM
cana-4447	594	12	https://doi.org/10.3390/s23146491	https://doi.org/10.3390/s23146491	NUM
cana-4447	594	13	https://doi.org/10.1109/ie.2018.00014	https://doi.org/10.1109/ie.2018.00014	NOUN
cana-4447	594	14	https://doi.org/10.3390/s19204474	https://doi.org/10.3390/s19204474	ADV
cana-4447	594	15	https://doi.org/10.3390/s23125715	https://doi.org/10.3390/s23125715	NOUN
cana-4447	594	16	https://doi.org/10.1007/s00138-023-01396-0	https://doi.org/10.1007/s00138-023-01396-0	ADJ
cana-4447	594	17	https://doi.org/10.3390/app13042700	https://doi.org/10.3390/app13042700	NOUN
cana-4447	594	18	https://doi.org/10.5755/j01.itc.53.2.36044	https://doi.org/10.5755/j01.itc.53.2.36044	PRON
cana-4447	594	19	https://ieeexplore.ieee.org/author/37271383700	https://ieeexplore.ieee.org/author/37271383700	PROPN
cana-4447	594	20	https://ieeexplore.ieee.org/author/37089152640	https://ieeexplore.ieee.org/author/37089152640	ADJ
cana-4447	594	21	https://ieeexplore.ieee.org/author/37556366700	https://ieeexplore.ieee.org/author/37556366700	PROPN
cana-4447	594	22	https://ieeexplore.ieee.org/author/37530687900	https://ieeexplore.ieee.org/author/37530687900	NOUN
cana-4447	594	23	https://ieeexplore.ieee.org/author/37088561124	https://ieeexplore.ieee.org/author/37088561124	PROPN
cana-4447	594	24	https://ieeexplore.ieee.org/author/37088561124	https://ieeexplore.ieee.org/author/37088561124	PROPN
cana-4447	594	25	https://ieeexplore.ieee.org/author/37402709200	https://ieeexplore.ieee.org/author/37402709200	PROPN
cana-4447	595	1	https://doi.org/10.1109/access.2023.3258417	https://doi.org/10.1109/access.2023.3258417	ADJ
cana-4447	595	2	communications	communication	NOUN
cana-4447	595	3	on	on	ADP
cana-4447	595	4	applied	apply	VERB
cana-4447	595	5	nonlinear	nonlinear	ADJ
cana-4447	595	6	analysis	analysis	NOUN
cana-4447	595	7	issn	issn	NOUN
cana-4447	595	8	:	:	PUNCT
cana-4447	595	9	1074	1074	NUM
cana-4447	595	10	-	-	PUNCT
cana-4447	595	11	133x	133x	NUM
cana-4447	595	12	vol	vol	NOUN
cana-4447	595	13	32	32	NUM
cana-4447	595	14	no	no	NOUN
cana-4447	595	15	.	.	PUNCT
cana-4447	596	1	9s	9s	NUM
cana-4447	596	2	(	(	PUNCT
cana-4447	596	3	2025	2025	NUM
cana-4447	596	4	)	)	PUNCT
cana-4447	596	5	2075	2075	NUM
cana-4447	596	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-4447	597	1	[	[	X
cana-4447	597	2	25	25	NUM
cana-4447	597	3	]	]	X
cana-4447	597	4	yong	yong	PROPN
cana-4447	597	5	-	-	PUNCT
cana-4447	597	6	woon	woon	PROPN
cana-4447	597	7	kim	kim	PROPN
cana-4447	597	8	.	.	PROPN
cana-4447	597	9	,	,	PUNCT
cana-4447	597	10	yung	yung	NOUN
cana-4447	597	11	-	-	PUNCT
cana-4447	597	12	cheol	cheol	NOUN
cana-4447	597	13	byun	byun	NOUN
cana-4447	597	14	,	,	PUNCT
cana-4447	597	15	addapalli	addapalli	ADV
cana-4447	597	16	v.	v.	ADP
cana-4447	597	17	n.	n.	PROPN
cana-4447	597	18	krishna	krishna	PROPN
cana-4447	597	19	.	.	PROPN
cana-4447	597	20	,	,	PUNCT
cana-4447	597	21	&	&	CCONJ
cana-4447	597	22	balachandran	balachandran	PROPN
cana-4447	597	23	krishnan	krishnan	PROPN
cana-4447	597	24	.	.	PUNCT
cana-4447	598	1	(	(	PUNCT
cana-4447	598	2	2021	2021	NUM
cana-4447	598	3	)	)	PUNCT
cana-4447	598	4	.	.	PUNCT
cana-4447	599	1	selfie	selfie	PRON
cana-4447	599	2	segmentation	segmentation	NOUN
cana-4447	599	3	in	in	ADP
cana-4447	599	4	video	video	NOUN
cana-4447	599	5	using	use	VERB
cana-4447	599	6	n	n	CCONJ
cana-4447	599	7	-	-	PUNCT
cana-4447	599	8	frames	frame	NOUN
cana-4447	599	9	ensemble	ensemble	ADJ
cana-4447	599	10	.	.	PUNCT
cana-4447	600	1	ieee	ieee	NOUN
cana-4447	600	2	.	.	PUNCT
cana-4447	601	1	9	9	NUM
cana-4447	601	2	;	;	PUNCT
cana-4447	601	3	163348	163348	NUM
cana-4447	601	4	-	-	SYM
cana-4447	601	5	163362	163362	NUM
cana-4447	601	6	.	.	PUNCT
cana-4447	602	1	http://doi.org/10.1109/access.2021.3133276	http://doi.org/10.1109/access.2021.3133276	PROPN
cana-4447	602	2	.	.	PUNCT
cana-4447	603	1	[	[	X
cana-4447	603	2	26	26	NUM
cana-4447	603	3	]	]	X
cana-4447	603	4	nan	nan	PROPN
cana-4447	603	5	ma	ma	PROPN
cana-4447	603	6	.	.	PROPN
cana-4447	603	7	,	,	PUNCT
cana-4447	603	8	zhixuan	zhixuan	PROPN
cana-4447	603	9	wu	wu	PROPN
cana-4447	603	10	.	.	PROPN
cana-4447	603	11	,	,	PUNCT
cana-4447	603	12	yiu	yiu	PROPN
cana-4447	603	13	-	-	PUNCT
cana-4447	603	14	ming	ming	PROPN
cana-4447	603	15	cheung	cheung	PROPN
cana-4447	603	16	.	.	PUNCT
cana-4447	603	17	,	,	PUNCT
cana-4447	603	18	yuchen	yuchen	PROPN
cana-4447	603	19	guo	guo	PROPN
cana-4447	603	20	.	.	PROPN
cana-4447	603	21	,	,	PUNCT
cana-4447	603	22	yue	yue	PROPN
cana-4447	603	23	gao	gao	PROPN
cana-4447	603	24	.	.	PROPN
cana-4447	603	25	,	,	PUNCT
cana-4447	603	26	jiahong	jiahong	PROPN
cana-4447	603	27	li	li	PROPN
cana-4447	603	28	.	.	PROPN
cana-4447	603	29	,	,	PUNCT
cana-4447	603	30	&	&	CCONJ
cana-4447	603	31	beijyan	beijyan	PROPN
cana-4447	603	32	jiang	jiang	PROPN
cana-4447	603	33	.	.	PUNCT
cana-4447	604	1	(	(	PUNCT
cana-4447	604	2	2022	2022	NUM
cana-4447	604	3	)	)	PUNCT
cana-4447	604	4	.	.	PUNCT
cana-4447	605	1	a	a	DET
cana-4447	605	2	survey	survey	NOUN
cana-4447	605	3	of	of	ADP
cana-4447	605	4	human	human	ADJ
cana-4447	605	5	action	action	NOUN
cana-4447	605	6	recognition	recognition	NOUN
cana-4447	605	7	and	and	CCONJ
cana-4447	605	8	posture	posture	NOUN
cana-4447	605	9	prediction	prediction	NOUN
cana-4447	605	10	.	.	PUNCT
cana-4447	606	1	tsinghua	tsinghua	PROPN
cana-4447	606	2	science	science	PROPN
cana-4447	606	3	and	and	CCONJ
cana-4447	606	4	technology	technology	NOUN
cana-4447	606	5	.	.	PUNCT
cana-4447	607	1	27(6	27(6	NUM
cana-4447	607	2	):	):	PUNCT
cana-4447	607	3	973–1001	973–1001	NUM
cana-4447	607	4	.	.	PUNCT
cana-4447	608	1	https://doi.org/10.26599/tst.2021.9010068	https://doi.org/10.26599/tst.2021.9010068	PROPN
cana-4447	608	2	.	.	PUNCT
cana-4447	608	3	https://ieeexplore.ieee.org/author/37290836700	https://ieeexplore.ieee.org/author/37290836700	PROPN
cana-4447	608	4	https://ieeexplore.ieee.org/author/37086955514	https://ieeexplore.ieee.org/author/37086955514	PROPN
cana-4447	608	5	https://ieeexplore.ieee.org/author/37088590113	https://ieeexplore.ieee.org/author/37088590113	PROPN
cana-4447	608	6	http://doi.org/10.1109/access.2021.3133276	http://doi.org/10.1109/access.2021.3133276	PROPN
cana-4447	608	7	https://www.sciopen.com/scholar/info?id=1557273119546728450	https://www.sciopen.com/scholar/info?id=1557273119546728450	PROPN
cana-4447	608	8	https://www.sciopen.com/scholar/info?id=1557273119701917697	https://www.sciopen.com/scholar/info?id=1557273119701917697	VERB
cana-4447	608	9	https://www.sciopen.com/scholar/info?id=1557273119848718337	https://www.sciopen.com/scholar/info?id=1557273119848718337	AUX
cana-4447	608	10	https://www.sciopen.com/scholar/info?id=1557273119999713281	https://www.sciopen.com/scholar/info?id=1557273119999713281	PROPN
cana-4447	608	11	https://doi.org/10.26599/tst.2021.9010068	https://doi.org/10.26599/tst.2021.9010068	NOUN