id	sid	tid	token	lemma	pos
cana-651	1	1	communications	communication	NOUN
cana-651	1	2	on	on	ADP
cana-651	1	3	applied	apply	VERB
cana-651	1	4	nonlinear	nonlinear	ADJ
cana-651	1	5	analysis	analysis	NOUN
cana-651	1	6	issn	issn	NOUN
cana-651	1	7	:	:	PUNCT
cana-651	1	8	1074	1074	NUM
cana-651	1	9	-	-	PUNCT
cana-651	1	10	133x	133x	NUM
cana-651	1	11	vol	vol	NOUN
cana-651	1	12	31	31	NUM
cana-651	1	13	no	no	NOUN
cana-651	1	14	.	.	PUNCT
cana-651	2	1	2s	2s	NUM
cana-651	2	2	(	(	PUNCT
cana-651	2	3	2024	2024	NUM
cana-651	2	4	)	)	PUNCT
cana-651	2	5	306	306	NUM
cana-651	2	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-651	2	7	real	real	ADJ
cana-651	2	8	-	-	PUNCT
cana-651	2	9	time	time	NOUN
cana-651	2	10	anomaly	anomaly	NOUN
cana-651	2	11	detection	detection	NOUN
cana-651	2	12	in	in	ADP
cana-651	2	13	video	video	NOUN
cana-651	2	14	surveillance	surveillance	NOUN
cana-651	2	15	:	:	PUNCT
cana-651	2	16	a	a	DET
cana-651	2	17	mathematical	mathematical	ADJ
cana-651	2	18	modeling	modeling	NOUN
cana-651	2	19	and	and	CCONJ
cana-651	2	20	nonlinear	nonlinear	ADJ
cana-651	2	21	analysis	analysis	NOUN
cana-651	2	22	perspective	perspective	NOUN
cana-651	2	23	with	with	ADP
cana-651	2	24	mobilenet	mobilenet	NOUN
cana-651	2	25	and	and	CCONJ
cana-651	2	26	bi	bi	ADJ
cana-651	2	27	-	-	PROPN
cana-651	2	28	lstm	lstm	ADJ
cana-651	2	29	deepak	deepak	PROPN
cana-651	2	30	mane1	mane1	PROPN
cana-651	2	31	,	,	PUNCT
cana-651	2	32	sheetal	sheetal	PROPN
cana-651	2	33	phatangare2	phatangare2	PROPN
cana-651	2	34	,	,	PUNCT
cana-651	2	35	siddhant	siddhant	PROPN
cana-651	2	36	nawale3	nawale3	PROPN
cana-651	2	37	,	,	PUNCT
cana-651	2	38	siddhesh	siddhesh	PROPN
cana-651	2	39	wani4	wani4	PROPN
cana-651	2	40	,	,	PUNCT
cana-651	2	41	varun	varun	PROPN
cana-651	2	42	gujarathi5	gujarathi5	PROPN
cana-651	2	43	and	and	CCONJ
cana-651	2	44	vaishnav	vaishnav	PROPN
cana-651	2	45	loya6	loya6	PROPN
cana-651	2	46	1,2,3,4,5,6vishwakarma	1,2,3,4,5,6vishwakarma	NUM
cana-651	2	47	institute	institute	PROPN
cana-651	2	48	of	of	ADP
cana-651	2	49	technology	technology	NOUN
cana-651	2	50	pune-411037	pune-411037	NOUN
cana-651	2	51	,	,	PUNCT
cana-651	2	52	maharashtra	maharashtra	PROPN
cana-651	2	53	,	,	PUNCT
cana-651	2	54	india	india	PROPN
cana-651	2	55	.	.	PUNCT
cana-651	3	1	1dtmane@gmail.com	1dtmane@gmail.com	NUM
cana-651	3	2	2sheetal.phatangare@vit.edu	2sheetal.phatangare@vit.edu	NOUN
cana-651	3	3	3siddhant.nawale20@vit.edu	3siddhant.nawale20@vit.edu	NUM
cana-651	3	4	4siddhesh.wani20@vit.edu	4siddhesh.wani20@vit.edu	NUM
cana-651	3	5	5varun.gujrathi20@vit.edu	5varun.gujrathi20@vit.edu	NUM
cana-651	3	6	6vaishnav.loya20@vit.edu	6vaishnav.loya20@vit.edu	NUM
cana-651	3	7	article	article	NOUN
cana-651	3	8	history	history	NOUN
cana-651	3	9	:	:	PUNCT
cana-651	3	10	received	receive	VERB
cana-651	3	11	:	:	PUNCT
cana-651	3	12	18	18	NUM
cana-651	3	13	-	-	SYM
cana-651	3	14	03	03	NUM
cana-651	3	15	-	-	PUNCT
cana-651	3	16	2024	2024	NUM
cana-651	3	17	revised	revise	VERB
cana-651	3	18	:	:	PUNCT
cana-651	3	19	10	10	NUM
cana-651	3	20	-	-	SYM
cana-651	3	21	05	05	NUM
cana-651	3	22	-	-	PUNCT
cana-651	3	23	2024	2024	NUM
cana-651	3	24	accepted	accept	VERB
cana-651	3	25	:	:	PUNCT
cana-651	3	26	26	26	NUM
cana-651	3	27	-	-	SYM
cana-651	3	28	05	05	NUM
cana-651	3	29	-	-	PUNCT
cana-651	3	30	2024	2024	NUM
cana-651	3	31	abstract	abstract	NOUN
cana-651	3	32	:	:	PUNCT
cana-651	3	33	for	for	ADP
cana-651	3	34	the	the	DET
cana-651	3	35	main	main	ADJ
cana-651	3	36	purpose	purpose	NOUN
cana-651	3	37	of	of	ADP
cana-651	3	38	security	security	NOUN
cana-651	3	39	and	and	CCONJ
cana-651	3	40	safety	safety	NOUN
cana-651	3	41	,	,	PUNCT
cana-651	3	42	video	video	NOUN
cana-651	3	43	surveillance	surveillance	NOUN
cana-651	3	44	systems	system	NOUN
cana-651	3	45	are	be	AUX
cana-651	3	46	everywhere	everywhere	ADV
cana-651	3	47	and	and	CCONJ
cana-651	3	48	their	their	PRON
cana-651	3	49	need	need	NOUN
cana-651	3	50	for	for	ADP
cana-651	3	51	presence	presence	NOUN
cana-651	3	52	is	be	AUX
cana-651	3	53	at	at	ADP
cana-651	3	54	the	the	DET
cana-651	3	55	top	top	NOUN
cana-651	3	56	.	.	PUNCT
cana-651	4	1	the	the	DET
cana-651	4	2	prominent	prominent	ADJ
cana-651	4	3	application	application	NOUN
cana-651	4	4	of	of	ADP
cana-651	4	5	a	a	DET
cana-651	4	6	video	video	NOUN
cana-651	4	7	monitoring	monitoring	NOUN
cana-651	4	8	system	system	NOUN
cana-651	4	9	is	be	AUX
cana-651	4	10	to	to	PART
cana-651	4	11	track	track	VERB
cana-651	4	12	and	and	CCONJ
cana-651	4	13	monitor	monitor	VERB
cana-651	4	14	the	the	DET
cana-651	4	15	live	live	ADJ
cana-651	4	16	footage	footage	NOUN
cana-651	4	17	and	and	CCONJ
cana-651	4	18	recognize	recognize	VERB
cana-651	4	19	any	any	DET
cana-651	4	20	unusual	unusual	ADJ
cana-651	4	21	activity	activity	NOUN
cana-651	4	22	or	or	CCONJ
cana-651	4	23	behavior	behavior	NOUN
cana-651	4	24	.	.	PUNCT
cana-651	5	1	for	for	ADP
cana-651	5	2	the	the	DET
cana-651	5	3	prevention	prevention	NOUN
cana-651	5	4	of	of	ADP
cana-651	5	5	any	any	DET
cana-651	5	6	unwanted	unwanted	ADJ
cana-651	5	7	event	event	NOUN
cana-651	5	8	or	or	CCONJ
cana-651	5	9	dangerous	dangerous	ADJ
cana-651	5	10	activity	activity	NOUN
cana-651	5	11	,	,	PUNCT
cana-651	5	12	it	it	PRON
cana-651	5	13	is	be	AUX
cana-651	5	14	mandatory	mandatory	ADJ
cana-651	5	15	to	to	PART
cana-651	5	16	get	get	VERB
cana-651	5	17	early	early	ADJ
cana-651	5	18	detection	detection	NOUN
cana-651	5	19	from	from	ADP
cana-651	5	20	video	video	NOUN
cana-651	5	21	surveillance	surveillance	NOUN
cana-651	5	22	.	.	PUNCT
cana-651	6	1	the	the	DET
cana-651	6	2	previous	previous	ADJ
cana-651	6	3	architectures	architecture	NOUN
cana-651	6	4	of	of	ADP
cana-651	6	5	traditional	traditional	ADJ
cana-651	6	6	systems	system	NOUN
cana-651	6	7	were	be	AUX
cana-651	6	8	primarily	primarily	ADV
cana-651	6	9	based	base	VERB
cana-651	6	10	on	on	ADP
cana-651	6	11	manual	manual	ADJ
cana-651	6	12	monitoring	monitoring	NOUN
cana-651	6	13	anomaly	anomaly	NOUN
cana-651	6	14	detection	detection	NOUN
cana-651	6	15	which	which	PRON
cana-651	6	16	had	have	AUX
cana-651	6	17	increased	increase	VERB
cana-651	6	18	the	the	DET
cana-651	6	19	false	false	ADJ
cana-651	6	20	negative	negative	ADJ
cana-651	6	21	rate	rate	NOUN
cana-651	6	22	of	of	ADP
cana-651	6	23	anomaly	anomaly	NOUN
cana-651	6	24	detection	detection	NOUN
cana-651	6	25	.	.	PUNCT
cana-651	7	1	in	in	ADP
cana-651	7	2	this	this	DET
cana-651	7	3	paper	paper	NOUN
cana-651	7	4	,	,	PUNCT
cana-651	7	5	we	we	PRON
cana-651	7	6	proposed	propose	VERB
cana-651	7	7	a	a	DET
cana-651	7	8	customized	customize	VERB
cana-651	7	9	framework	framework	NOUN
cana-651	7	10	that	that	PRON
cana-651	7	11	leverages	leverage	VERB
cana-651	7	12	mobilenet	mobilenet	NOUN
cana-651	7	13	and	and	CCONJ
cana-651	7	14	bi	bi	NOUN
cana-651	7	15	-	-	NOUN
cana-651	7	16	lstm	lstm	NOUN
cana-651	7	17	for	for	ADP
cana-651	7	18	the	the	DET
cana-651	7	19	accurate	accurate	ADJ
cana-651	7	20	detection	detection	NOUN
cana-651	7	21	of	of	ADP
cana-651	7	22	anomalies	anomaly	NOUN
cana-651	7	23	in	in	ADP
cana-651	7	24	real	real	ADJ
cana-651	7	25	-	-	PUNCT
cana-651	7	26	time	time	NOUN
cana-651	7	27	with	with	ADP
cana-651	7	28	unsupervised	unsupervised	ADJ
cana-651	7	29	learning	learning	NOUN
cana-651	7	30	techniques	technique	NOUN
cana-651	7	31	.	.	PUNCT
cana-651	8	1	due	due	ADP
cana-651	8	2	to	to	ADP
cana-651	8	3	the	the	DET
cana-651	8	4	spatial	spatial	ADJ
cana-651	8	5	-	-	PUNCT
cana-651	8	6	temporal	temporal	ADJ
cana-651	8	7	feature	feature	NOUN
cana-651	8	8	pattern	pattern	NOUN
cana-651	8	9	and	and	CCONJ
cana-651	8	10	multimodal	multimodal	NOUN
cana-651	8	11	functionality	functionality	NOUN
cana-651	8	12	of	of	ADP
cana-651	8	13	mobilenet	mobilenet	NOUN
cana-651	8	14	,	,	PUNCT
cana-651	8	15	it	it	PRON
cana-651	8	16	helps	help	VERB
cana-651	8	17	in	in	ADP
cana-651	8	18	increasing	increase	VERB
cana-651	8	19	accuracy	accuracy	NOUN
cana-651	8	20	compared	compare	VERB
cana-651	8	21	to	to	ADP
cana-651	8	22	previous	previous	ADJ
cana-651	8	23	systems	system	NOUN
cana-651	8	24	.	.	PUNCT
cana-651	9	1	mobilenet	mobilenet	PROPN
cana-651	9	2	uses	use	VERB
cana-651	9	3	depth	depth	NOUN
cana-651	9	4	-	-	PUNCT
cana-651	9	5	wise	wise	ADJ
cana-651	9	6	and	and	CCONJ
cana-651	9	7	point	point	ADV
cana-651	9	8	-	-	PUNCT
cana-651	9	9	wise	wise	ADJ
cana-651	9	10	convolution	convolution	NOUN
cana-651	9	11	than	than	ADP
cana-651	9	12	the	the	DET
cana-651	9	13	normal	normal	ADJ
cana-651	9	14	convolution	convolution	NOUN
cana-651	9	15	which	which	PRON
cana-651	9	16	improves	improve	VERB
cana-651	9	17	the	the	DET
cana-651	9	18	performance	performance	NOUN
cana-651	9	19	metrics	metric	NOUN
cana-651	9	20	.	.	PUNCT
cana-651	10	1	this	this	DET
cana-651	10	2	paper	paper	NOUN
cana-651	10	3	has	have	AUX
cana-651	10	4	illustrated	illustrate	VERB
cana-651	10	5	a	a	DET
cana-651	10	6	brief	brief	ADJ
cana-651	10	7	study	study	NOUN
cana-651	10	8	of	of	ADP
cana-651	10	9	benchmark	benchmark	NOUN
cana-651	10	10	datasets	dataset	NOUN
cana-651	10	11	such	such	ADJ
cana-651	10	12	as	as	ADP
cana-651	10	13	ucf	ucf	PROPN
cana-651	10	14	dataset	dataset	NOUN
cana-651	10	15	including	include	VERB
cana-651	10	16	their	their	PRON
cana-651	10	17	performance	performance	NOUN
cana-651	10	18	in	in	ADP
cana-651	10	19	anomaly	anomaly	NOUN
cana-651	10	20	detection	detection	NOUN
cana-651	10	21	compared	compare	VERB
cana-651	10	22	with	with	ADP
cana-651	10	23	traditional	traditional	ADJ
cana-651	10	24	systems	system	NOUN
cana-651	10	25	and	and	CCONJ
cana-651	10	26	existing	exist	VERB
cana-651	10	27	deep	deep	ADJ
cana-651	10	28	learning	learning	NOUN
cana-651	10	29	approaches	approach	NOUN
cana-651	10	30	.	.	PUNCT
cana-651	11	1	the	the	DET
cana-651	11	2	proposed	propose	VERB
cana-651	11	3	model	model	NOUN
cana-651	11	4	has	have	AUX
cana-651	11	5	given	give	VERB
cana-651	11	6	an	an	DET
cana-651	11	7	accuracy	accuracy	NOUN
cana-651	11	8	of	of	ADP
cana-651	11	9	95.33	95.33	NUM
cana-651	11	10	%	%	NOUN
cana-651	11	11	compared	compare	VERB
cana-651	11	12	to	to	ADP
cana-651	11	13	the	the	DET
cana-651	11	14	latest	late	ADJ
cana-651	11	15	year	year	NOUN
cana-651	11	16	2023	2023	NUM
cana-651	11	17	model	model	NOUN
cana-651	11	18	which	which	PRON
cana-651	11	19	gave	give	VERB
cana-651	11	20	an	an	DET
cana-651	11	21	accuracy	accuracy	NOUN
cana-651	11	22	of	of	ADP
cana-651	11	23	90.80	90.80	NUM
cana-651	11	24	%	%	NOUN
cana-651	11	25	on	on	ADP
cana-651	11	26	the	the	DET
cana-651	11	27	same	same	ADJ
cana-651	11	28	dataset	dataset	NOUN
cana-651	11	29	.	.	PUNCT
cana-651	12	1	keywords	keyword	NOUN
cana-651	12	2	:	:	PUNCT
cana-651	12	3	accuracy	accuracy	NOUN
cana-651	12	4	;	;	PUNCT
cana-651	12	5	anomaly	anomaly	NOUN
cana-651	12	6	detection	detection	NOUN
cana-651	12	7	;	;	PUNCT
cana-651	12	8	bi	bi	NOUN
cana-651	12	9	-	-	NOUN
cana-651	12	10	lstm	lstm	ADJ
cana-651	12	11	;	;	PUNCT
cana-651	12	12	video	video	NOUN
cana-651	12	13	surveillance	surveillance	NOUN
cana-651	12	14	;	;	PUNCT
cana-651	12	15	mobilenet	mobilenet	NOUN
cana-651	12	16	;	;	PUNCT
cana-651	12	17	datasets	dataset	NOUN
cana-651	12	18	;	;	PUNCT
cana-651	12	19	ucf	ucf	PROPN
cana-651	12	20	dataset	dataset	PROPN
cana-651	12	21	;	;	PUNCT
cana-651	12	22	unsupervised	unsupervised	ADJ
cana-651	12	23	learning	learning	NOUN
cana-651	12	24	techniques	technique	NOUN
cana-651	12	25	.	.	PUNCT
cana-651	13	1	1	1	X
cana-651	13	2	.	.	X
cana-651	13	3	introduction	introduction	NOUN
cana-651	13	4	nowadays	nowadays	ADV
cana-651	13	5	,	,	PUNCT
cana-651	13	6	crime	crime	NOUN
cana-651	13	7	and	and	CCONJ
cana-651	13	8	accident	accident	NOUN
cana-651	13	9	rates	rate	NOUN
cana-651	13	10	have	have	AUX
cana-651	13	11	drastically	drastically	ADV
cana-651	13	12	increased	increase	VERB
cana-651	13	13	,	,	PUNCT
cana-651	13	14	and	and	CCONJ
cana-651	13	15	the	the	DET
cana-651	13	16	domain	domain	NOUN
cana-651	13	17	of	of	ADP
cana-651	13	18	crime	crime	NOUN
cana-651	13	19	is	be	AUX
cana-651	13	20	variable	variable	ADJ
cana-651	13	21	,	,	PUNCT
cana-651	13	22	such	such	ADJ
cana-651	13	23	as	as	ADP
cana-651	13	24	arson	arson	NOUN
cana-651	13	25	,	,	PUNCT
cana-651	13	26	assaults	assault	NOUN
cana-651	13	27	,	,	PUNCT
cana-651	13	28	arrests	arrest	NOUN
cana-651	13	29	,	,	PUNCT
cana-651	13	30	road	road	NOUN
cana-651	13	31	accidents	accident	NOUN
cana-651	13	32	,	,	PUNCT
cana-651	13	33	explosions	explosion	NOUN
cana-651	13	34	,	,	PUNCT
cana-651	13	35	burglary	burglary	NOUN
cana-651	13	36	,	,	PUNCT
cana-651	13	37	fighting	fighting	NOUN
cana-651	13	38	,	,	PUNCT
cana-651	13	39	abuse	abuse	NOUN
cana-651	13	40	,	,	PUNCT
cana-651	13	41	robbery	robbery	NOUN
cana-651	13	42	,	,	PUNCT
cana-651	13	43	shooting	shooting	NOUN
cana-651	13	44	,	,	PUNCT
cana-651	13	45	shoplifting	shoplifting	NOUN
cana-651	13	46	,	,	PUNCT
cana-651	13	47	stealing	stealing	NOUN
cana-651	13	48	,	,	PUNCT
cana-651	13	49	vandalism	vandalism	NOUN
cana-651	13	50	,	,	PUNCT
cana-651	13	51	etc	etc	X
cana-651	13	52	.	.	X
cana-651	13	53	for	for	ADP
cana-651	13	54	detecting	detect	VERB
cana-651	13	55	these	these	DET
cana-651	13	56	anomalies	anomaly	NOUN
cana-651	13	57	,	,	PUNCT
cana-651	13	58	video	video	NOUN
cana-651	13	59	monitoring	monitoring	NOUN
cana-651	13	60	systems	system	NOUN
cana-651	13	61	are	be	AUX
cana-651	13	62	very	very	ADV
cana-651	13	63	important	important	ADJ
cana-651	13	64	everywhere	everywhere	ADV
cana-651	13	65	for	for	ADP
cana-651	13	66	early	early	ADJ
cana-651	13	67	detection	detection	NOUN
cana-651	13	68	of	of	ADP
cana-651	13	69	anomalies	anomaly	NOUN
cana-651	13	70	and	and	CCONJ
cana-651	13	71	prevention	prevention	NOUN
cana-651	13	72	of	of	ADP
cana-651	13	73	any	any	DET
cana-651	13	74	hazardous	hazardous	ADJ
cana-651	13	75	event	event	NOUN
cana-651	13	76	or	or	CCONJ
cana-651	13	77	unwanted	unwanted	ADJ
cana-651	13	78	activity	activity	NOUN
cana-651	13	79	.	.	PUNCT
cana-651	14	1	traditional	traditional	ADJ
cana-651	14	2	and	and	CCONJ
cana-651	14	3	previous	previous	ADJ
cana-651	14	4	systems	system	NOUN
cana-651	14	5	were	be	AUX
cana-651	14	6	based	base	VERB
cana-651	14	7	on	on	ADP
cana-651	14	8	human	human	ADJ
cana-651	14	9	interaction	interaction	NOUN
cana-651	14	10	and	and	CCONJ
cana-651	14	11	manual	manual	ADJ
cana-651	14	12	control	control	NOUN
cana-651	14	13	intervention	intervention	NOUN
cana-651	14	14	.	.	PUNCT
cana-651	15	1	any	any	DET
cana-651	15	2	detection	detection	NOUN
cana-651	15	3	of	of	ADP
cana-651	15	4	unusual	unusual	ADJ
cana-651	15	5	behavior	behavior	NOUN
cana-651	15	6	or	or	CCONJ
cana-651	15	7	unwanted	unwanted	ADJ
cana-651	15	8	activity	activity	NOUN
cana-651	15	9	was	be	AUX
cana-651	15	10	done	do	VERB
cana-651	15	11	by	by	ADP
cana-651	15	12	manually	manually	ADV
cana-651	15	13	monitoring	monitoring	NOUN
cana-651	15	14	and	and	CCONJ
cana-651	15	15	tracking	track	VERB
cana-651	15	16	all	all	DET
cana-651	15	17	the	the	DET
cana-651	15	18	live	live	ADJ
cana-651	15	19	or	or	CCONJ
cana-651	15	20	past	past	ADJ
cana-651	15	21	footage	footage	NOUN
cana-651	15	22	of	of	ADP
cana-651	15	23	video	video	NOUN
cana-651	15	24	surveillance	surveillance	NOUN
cana-651	15	25	communications	communication	NOUN
cana-651	15	26	on	on	ADP
cana-651	15	27	applied	apply	VERB
cana-651	15	28	nonlinear	nonlinear	ADJ
cana-651	15	29	analysis	analysis	NOUN
cana-651	15	30	issn	issn	NOUN
cana-651	15	31	:	:	PUNCT
cana-651	15	32	1074	1074	NUM
cana-651	15	33	-	-	PUNCT
cana-651	15	34	133x	133x	NUM
cana-651	15	35	vol	vol	NOUN
cana-651	15	36	31	31	NUM
cana-651	15	37	no	no	NOUN
cana-651	15	38	.	.	PUNCT
cana-651	16	1	2s	2s	NUM
cana-651	16	2	(	(	PUNCT
cana-651	16	3	2024	2024	NUM
cana-651	16	4	)	)	PUNCT
cana-651	16	5	307	307	NUM
cana-651	16	6	https://internationalpubls.com	https://internationalpubls.com	NUM
cana-651	16	7	systems	system	NOUN
cana-651	16	8	[	[	X
cana-651	16	9	3	3	NUM
cana-651	16	10	]	]	PUNCT
cana-651	16	11	.	.	PUNCT
cana-651	17	1	processing	processing	NOUN
cana-651	17	2	and	and	CCONJ
cana-651	17	3	monitoring	monitor	VERB
cana-651	17	4	large	large	ADJ
cana-651	17	5	data	datum	NOUN
cana-651	17	6	of	of	ADP
cana-651	17	7	video	video	NOUN
cana-651	17	8	surveillance	surveillance	NOUN
cana-651	17	9	systems	system	NOUN
cana-651	17	10	is	be	AUX
cana-651	17	11	a	a	DET
cana-651	17	12	challenging	challenging	ADJ
cana-651	17	13	and	and	CCONJ
cana-651	17	14	time	time	NOUN
cana-651	17	15	-	-	PUNCT
cana-651	17	16	consuming	consume	VERB
cana-651	17	17	process	process	NOUN
cana-651	17	18	manually	manually	ADV
cana-651	17	19	.	.	PUNCT
cana-651	18	1	due	due	ADP
cana-651	18	2	to	to	ADP
cana-651	18	3	this	this	DET
cana-651	18	4	traditional	traditional	ADJ
cana-651	18	5	system	system	NOUN
cana-651	18	6	,	,	PUNCT
cana-651	18	7	the	the	DET
cana-651	18	8	chances	chance	NOUN
cana-651	18	9	of	of	ADP
cana-651	18	10	missing	miss	VERB
cana-651	18	11	any	any	DET
cana-651	18	12	unusual	unusual	ADJ
cana-651	18	13	activity	activity	NOUN
cana-651	18	14	from	from	ADP
cana-651	18	15	the	the	DET
cana-651	18	16	sight	sight	NOUN
cana-651	18	17	of	of	ADP
cana-651	18	18	the	the	DET
cana-651	18	19	supervisor	supervisor	NOUN
cana-651	18	20	of	of	ADP
cana-651	18	21	the	the	DET
cana-651	18	22	surveillance	surveillance	NOUN
cana-651	18	23	system	system	NOUN
cana-651	18	24	were	be	AUX
cana-651	18	25	high	high	ADJ
cana-651	18	26	.	.	PUNCT
cana-651	19	1	of	of	ADP
cana-651	19	2	this	this	PRON
cana-651	19	3	,	,	PUNCT
cana-651	19	4	any	any	DET
cana-651	19	5	accidental	accidental	ADJ
cana-651	19	6	anomaly	anomaly	NOUN
cana-651	19	7	could	could	AUX
cana-651	19	8	happen	happen	VERB
cana-651	19	9	at	at	ADP
cana-651	19	10	any	any	DET
cana-651	19	11	time	time	NOUN
cana-651	19	12	.	.	PUNCT
cana-651	20	1	this	this	DET
cana-651	20	2	unusual	unusual	ADJ
cana-651	20	3	activity	activity	NOUN
cana-651	20	4	or	or	CCONJ
cana-651	20	5	abnormal	abnormal	ADJ
cana-651	20	6	behavior	behavior	NOUN
cana-651	20	7	is	be	AUX
cana-651	20	8	known	know	VERB
cana-651	20	9	as	as	ADP
cana-651	20	10	an	an	DET
cana-651	20	11	anomaly	anomaly	NOUN
cana-651	20	12	.	.	PUNCT
cana-651	21	1	the	the	DET
cana-651	21	2	author	author	NOUN
cana-651	21	3	of	of	ADP
cana-651	21	4	this	this	DET
cana-651	21	5	paper	paper	NOUN
cana-651	21	6	introduced	introduce	VERB
cana-651	21	7	a	a	DET
cana-651	21	8	robust	robust	ADJ
cana-651	21	9	and	and	CCONJ
cana-651	21	10	better	well	ADJ
cana-651	21	11	method	method	NOUN
cana-651	21	12	than	than	ADP
cana-651	21	13	traditional	traditional	ADJ
cana-651	21	14	systems	system	NOUN
cana-651	21	15	,	,	PUNCT
cana-651	21	16	which	which	PRON
cana-651	21	17	successfully	successfully	ADV
cana-651	21	18	prevented	prevent	VERB
cana-651	21	19	and	and	CCONJ
cana-651	21	20	reduced	reduce	VERB
cana-651	21	21	the	the	DET
cana-651	21	22	false	false	ADJ
cana-651	21	23	negative	negative	ADJ
cana-651	21	24	rate	rate	NOUN
cana-651	21	25	of	of	ADP
cana-651	21	26	anomaly	anomaly	NOUN
cana-651	21	27	detection	detection	NOUN
cana-651	21	28	errors	error	NOUN
cana-651	21	29	from	from	ADP
cana-651	21	30	video	video	NOUN
cana-651	21	31	surveillance	surveillance	NOUN
cana-651	21	32	in	in	ADP
cana-651	21	33	real	real	ADJ
cana-651	21	34	time	time	NOUN
cana-651	21	35	.	.	PUNCT
cana-651	22	1	the	the	DET
cana-651	22	2	advancements	advancement	NOUN
cana-651	22	3	of	of	ADP
cana-651	22	4	these	these	DET
cana-651	22	5	automated	automate	VERB
cana-651	22	6	anomaly	anomaly	NOUN
cana-651	22	7	detection	detection	NOUN
cana-651	22	8	systems	system	NOUN
cana-651	22	9	help	help	VERB
cana-651	22	10	supervisors	supervisor	NOUN
cana-651	22	11	of	of	ADP
cana-651	22	12	video	video	NOUN
cana-651	22	13	surveillance	surveillance	NOUN
cana-651	22	14	systems	system	NOUN
cana-651	22	15	to	to	PART
cana-651	22	16	identify	identify	VERB
cana-651	22	17	any	any	DET
cana-651	22	18	anomaly	anomaly	NOUN
cana-651	22	19	without	without	ADP
cana-651	22	20	time	time	NOUN
cana-651	22	21	-	-	PUNCT
cana-651	22	22	consuming	consume	VERB
cana-651	22	23	processes	process	NOUN
cana-651	22	24	with	with	ADP
cana-651	22	25	better	well	ADJ
cana-651	22	26	accuracy	accuracy	NOUN
cana-651	22	27	.	.	PUNCT
cana-651	23	1	it	it	PRON
cana-651	23	2	alerts	alert	VERB
cana-651	23	3	for	for	ADP
cana-651	23	4	taking	take	VERB
cana-651	23	5	immediate	immediate	ADJ
cana-651	23	6	actions	action	NOUN
cana-651	23	7	to	to	PART
cana-651	23	8	effectively	effectively	ADV
cana-651	23	9	prevent	prevent	VERB
cana-651	23	10	any	any	DET
cana-651	23	11	hazardous	hazardous	ADJ
cana-651	23	12	activity	activity	NOUN
cana-651	23	13	or	or	CCONJ
cana-651	23	14	behavior	behavior	NOUN
cana-651	23	15	.	.	PUNCT
cana-651	24	1	the	the	DET
cana-651	24	2	proposed	propose	VERB
cana-651	24	3	system	system	NOUN
cana-651	24	4	is	be	AUX
cana-651	24	5	based	base	VERB
cana-651	24	6	on	on	ADP
cana-651	24	7	the	the	DET
cana-651	24	8	mobilenet	mobilenet	NOUN
cana-651	24	9	model	model	NOUN
cana-651	24	10	with	with	ADP
cana-651	24	11	a	a	DET
cana-651	24	12	bi	bi	ADJ
cana-651	24	13	-	-	ADJ
cana-651	24	14	lstm	lstm	ADJ
cana-651	24	15	model	model	NOUN
cana-651	24	16	for	for	ADP
cana-651	24	17	better	well	ADJ
cana-651	24	18	accuracy	accuracy	NOUN
cana-651	24	19	and	and	CCONJ
cana-651	24	20	prediction	prediction	NOUN
cana-651	24	21	of	of	ADP
cana-651	24	22	anomaly	anomaly	NOUN
cana-651	24	23	detection	detection	NOUN
cana-651	24	24	in	in	ADP
cana-651	24	25	real	real	ADJ
cana-651	24	26	time	time	NOUN
cana-651	24	27	.	.	PUNCT
cana-651	25	1	this	this	DET
cana-651	25	2	proposed	propose	VERB
cana-651	25	3	model	model	NOUN
cana-651	25	4	can	can	AUX
cana-651	25	5	detect	detect	VERB
cana-651	25	6	anomalies	anomaly	NOUN
cana-651	25	7	in	in	ADP
cana-651	25	8	real	real	ADJ
cana-651	25	9	-	-	PUNCT
cana-651	25	10	time	time	NOUN
cana-651	25	11	without	without	ADP
cana-651	25	12	requiring	require	VERB
cana-651	25	13	human	human	ADJ
cana-651	25	14	intervention	intervention	NOUN
cana-651	25	15	throughout	throughout	ADP
cana-651	25	16	the	the	DET
cana-651	25	17	detection	detection	NOUN
cana-651	25	18	process	process	NOUN
cana-651	25	19	.	.	PUNCT
cana-651	26	1	applications	application	NOUN
cana-651	26	2	of	of	ADP
cana-651	26	3	the	the	DET
cana-651	26	4	proposed	propose	VERB
cana-651	26	5	system	system	NOUN
cana-651	26	6	include	include	VERB
cana-651	26	7	anomalies	anomaly	NOUN
cana-651	26	8	of	of	ADP
cana-651	26	9	various	various	ADJ
cana-651	26	10	types	type	NOUN
cana-651	26	11	,	,	PUNCT
cana-651	26	12	including	include	VERB
cana-651	26	13	arson	arson	NOUN
cana-651	26	14	,	,	PUNCT
cana-651	26	15	assaults	assault	NOUN
cana-651	26	16	,	,	PUNCT
cana-651	26	17	arrests	arrest	NOUN
cana-651	26	18	,	,	PUNCT
cana-651	26	19	road	road	NOUN
cana-651	26	20	accidents	accident	NOUN
cana-651	26	21	,	,	PUNCT
cana-651	26	22	explosions	explosion	NOUN
cana-651	26	23	,	,	PUNCT
cana-651	26	24	burglary	burglary	NOUN
cana-651	26	25	,	,	PUNCT
cana-651	26	26	fighting	fighting	NOUN
cana-651	26	27	,	,	PUNCT
cana-651	26	28	abuse	abuse	NOUN
cana-651	26	29	,	,	PUNCT
cana-651	26	30	robbery	robbery	NOUN
cana-651	26	31	,	,	PUNCT
cana-651	26	32	shooting	shooting	NOUN
cana-651	26	33	,	,	PUNCT
cana-651	26	34	shoplifting	shoplifting	NOUN
cana-651	26	35	,	,	PUNCT
cana-651	26	36	stealing	stealing	NOUN
cana-651	26	37	,	,	PUNCT
cana-651	26	38	vandalism	vandalism	NOUN
cana-651	26	39	,	,	PUNCT
cana-651	26	40	etc	etc	X
cana-651	26	41	.	.	X
cana-651	26	42	can	can	AUX
cana-651	26	43	be	be	AUX
cana-651	26	44	easily	easily	ADV
cana-651	26	45	identified	identify	VERB
cana-651	26	46	by	by	ADP
cana-651	26	47	this	this	DET
cana-651	26	48	automated	automate	VERB
cana-651	26	49	proposed	propose	VERB
cana-651	26	50	system	system	NOUN
cana-651	26	51	,	,	PUNCT
cana-651	26	52	in	in	ADP
cana-651	26	53	real	real	ADJ
cana-651	26	54	-	-	PUNCT
cana-651	26	55	time	time	NOUN
cana-651	26	56	.	.	PUNCT
cana-651	27	1	as	as	SCONJ
cana-651	27	2	mobilenet	mobilenet	NOUN
cana-651	27	3	has	have	VERB
cana-651	27	4	the	the	DET
cana-651	27	5	ability	ability	NOUN
cana-651	27	6	to	to	PART
cana-651	27	7	recognize	recognize	VERB
cana-651	27	8	temporal	temporal	ADJ
cana-651	27	9	and	and	CCONJ
cana-651	27	10	spatial	spatial	ADJ
cana-651	27	11	patterns	pattern	NOUN
cana-651	27	12	,	,	PUNCT
cana-651	27	13	it	it	PRON
cana-651	27	14	enhances	enhance	VERB
cana-651	27	15	the	the	DET
cana-651	27	16	compatibility	compatibility	NOUN
cana-651	27	17	of	of	ADP
cana-651	27	18	models	model	NOUN
cana-651	27	19	with	with	ADP
cana-651	27	20	complex	complex	ADJ
cana-651	27	21	structures	structure	NOUN
cana-651	27	22	and	and	CCONJ
cana-651	27	23	pattern	pattern	NOUN
cana-651	27	24	relationships	relationship	NOUN
cana-651	27	25	,	,	PUNCT
cana-651	27	26	allowing	allow	VERB
cana-651	27	27	them	they	PRON
cana-651	27	28	to	to	PART
cana-651	27	29	be	be	AUX
cana-651	27	30	a	a	DET
cana-651	27	31	suitable	suitable	ADJ
cana-651	27	32	system	system	NOUN
cana-651	27	33	for	for	ADP
cana-651	27	34	dynamic	dynamic	ADJ
cana-651	27	35	scenes	scene	NOUN
cana-651	27	36	using	use	VERB
cana-651	27	37	video	video	NOUN
cana-651	27	38	surveillance	surveillance	NOUN
cana-651	27	39	systems	system	NOUN
cana-651	27	40	.	.	PUNCT
cana-651	28	1	the	the	DET
cana-651	28	2	system	system	NOUN
cana-651	28	3	is	be	AUX
cana-651	28	4	solely	solely	ADV
cana-651	28	5	based	base	VERB
cana-651	28	6	on	on	ADP
cana-651	28	7	unsupervised	unsupervised	ADJ
cana-651	28	8	learning	learning	NOUN
cana-651	28	9	techniques	technique	NOUN
cana-651	28	10	as	as	SCONJ
cana-651	28	11	supervised	supervised	ADJ
cana-651	28	12	learning	learning	NOUN
cana-651	28	13	techniques	technique	NOUN
cana-651	28	14	require	require	VERB
cana-651	28	15	labels	label	NOUN
cana-651	28	16	,	,	PUNCT
cana-651	28	17	and	and	CCONJ
cana-651	28	18	they	they	PRON
cana-651	28	19	buffer	buffer	VERB
cana-651	28	20	when	when	SCONJ
cana-651	28	21	they	they	PRON
cana-651	28	22	are	be	AUX
cana-651	28	23	processed	process	VERB
cana-651	28	24	to	to	PART
cana-651	28	25	handle	handle	VERB
cana-651	28	26	large	large	ADJ
cana-651	28	27	n	n	CCONJ
cana-651	28	28	-	-	PUNCT
cana-651	28	29	dimensional	dimensional	ADJ
cana-651	28	30	video	video	NOUN
cana-651	28	31	data	datum	NOUN
cana-651	28	32	which	which	PRON
cana-651	28	33	results	result	VERB
cana-651	28	34	in	in	ADP
cana-651	28	35	an	an	DET
cana-651	28	36	incapable	incapable	ADJ
cana-651	28	37	to	to	PART
cana-651	28	38	simulate	simulate	VERB
cana-651	28	39	the	the	DET
cana-651	28	40	representation	representation	NOUN
cana-651	28	41	of	of	ADP
cana-651	28	42	the	the	DET
cana-651	28	43	model	model	NOUN
cana-651	28	44	.	.	PUNCT
cana-651	29	1	the	the	DET
cana-651	29	2	aim	aim	NOUN
cana-651	29	3	of	of	ADP
cana-651	29	4	this	this	DET
cana-651	29	5	paper	paper	NOUN
cana-651	29	6	is	be	AUX
cana-651	29	7	●	●	NUM
cana-651	29	8	to	to	PART
cana-651	29	9	identify	identify	VERB
cana-651	29	10	unusual	unusual	ADJ
cana-651	29	11	patterns	pattern	NOUN
cana-651	29	12	from	from	ADP
cana-651	29	13	video	video	NOUN
cana-651	29	14	surveillance	surveillance	NOUN
cana-651	29	15	and	and	CCONJ
cana-651	29	16	predict	predict	VERB
cana-651	29	17	the	the	DET
cana-651	29	18	class	class	NOUN
cana-651	29	19	of	of	ADP
cana-651	29	20	anomaly	anomaly	NOUN
cana-651	29	21	to	to	PART
cana-651	29	22	which	which	PRON
cana-651	29	23	it	it	PRON
cana-651	29	24	belongs	belong	VERB
cana-651	29	25	.	.	PUNCT
cana-651	30	1	●	●	PUNCT
cana-651	30	2	to	to	PART
cana-651	30	3	be	be	AUX
cana-651	30	4	able	able	ADJ
cana-651	30	5	to	to	PART
cana-651	30	6	detect	detect	VERB
cana-651	30	7	anomalies	anomaly	NOUN
cana-651	30	8	in	in	ADP
cana-651	30	9	real	real	ADJ
cana-651	30	10	-	-	PUNCT
cana-651	30	11	time	time	NOUN
cana-651	30	12	from	from	ADP
cana-651	30	13	video	video	NOUN
cana-651	30	14	monitoring	monitoring	NOUN
cana-651	30	15	systems	system	NOUN
cana-651	30	16	.	.	PUNCT
cana-651	31	1	the	the	DET
cana-651	31	2	outline	outline	NOUN
cana-651	31	3	of	of	ADP
cana-651	31	4	this	this	DET
cana-651	31	5	paper	paper	NOUN
cana-651	31	6	is	be	AUX
cana-651	31	7	as	as	SCONJ
cana-651	31	8	follows	follow	VERB
cana-651	31	9	:	:	PUNCT
cana-651	31	10	overall	overall	ADJ
cana-651	31	11	background	background	NOUN
cana-651	31	12	along	along	ADP
cana-651	31	13	with	with	ADP
cana-651	31	14	literature	literature	NOUN
cana-651	31	15	survey	survey	NOUN
cana-651	31	16	of	of	ADP
cana-651	31	17	anomaly	anomaly	NOUN
cana-651	31	18	detection	detection	NOUN
cana-651	31	19	systems	system	NOUN
cana-651	31	20	in	in	ADP
cana-651	31	21	section	section	PROPN
cana-651	31	22	ii	ii	PROPN
cana-651	31	23	,	,	PUNCT
cana-651	31	24	proposed	propose	VERB
cana-651	31	25	architecture	architecture	NOUN
cana-651	31	26	in	in	ADP
cana-651	31	27	section	section	NOUN
cana-651	31	28	iii	iii	PROPN
cana-651	31	29	,	,	PUNCT
cana-651	31	30	dataset	dataset	VERB
cana-651	31	31	analysis	analysis	NOUN
cana-651	31	32	in	in	ADP
cana-651	31	33	section	section	NOUN
cana-651	31	34	iv	iv	NUM
cana-651	31	35	,	,	PUNCT
cana-651	31	36	experimented	experiment	VERB
cana-651	31	37	results	result	NOUN
cana-651	31	38	in	in	ADP
cana-651	31	39	section	section	NOUN
cana-651	31	40	v	v	NOUN
cana-651	31	41	,	,	PUNCT
cana-651	31	42	conclusion	conclusion	NOUN
cana-651	31	43	elaborated	elaborate	VERB
cana-651	31	44	in	in	ADP
cana-651	31	45	section	section	NOUN
cana-651	31	46	vi	vi	PROPN
cana-651	31	47	,	,	PUNCT
cana-651	31	48	and	and	CCONJ
cana-651	31	49	references	reference	NOUN
cana-651	31	50	are	be	AUX
cana-651	31	51	given	give	VERB
cana-651	31	52	in	in	ADP
cana-651	31	53	section	section	NOUN
cana-651	31	54	vii	vii	PROPN
cana-651	31	55	.	.	PROPN
cana-651	32	1	2	2	NUM
cana-651	32	2	.	.	X
cana-651	32	3	related	relate	VERB
cana-651	32	4	work	work	NOUN
cana-651	32	5	the	the	DET
cana-651	32	6	main	main	ADJ
cana-651	32	7	task	task	NOUN
cana-651	32	8	of	of	ADP
cana-651	32	9	the	the	DET
cana-651	32	10	video	video	NOUN
cana-651	32	11	monitoring	monitoring	NOUN
cana-651	32	12	system	system	NOUN
cana-651	32	13	is	be	AUX
cana-651	32	14	to	to	PART
cana-651	32	15	detect	detect	VERB
cana-651	32	16	outliers	outlier	NOUN
cana-651	32	17	.	.	PUNCT
cana-651	33	1	traditional	traditional	ADJ
cana-651	33	2	methods	method	NOUN
cana-651	33	3	of	of	ADP
cana-651	33	4	video	video	NOUN
cana-651	33	5	monitoring	monitoring	NOUN
cana-651	33	6	systems	system	NOUN
cana-651	33	7	require	require	VERB
cana-651	33	8	human	human	ADJ
cana-651	33	9	input	input	NOUN
cana-651	33	10	or	or	CCONJ
cana-651	33	11	human	human	ADJ
cana-651	33	12	intervention	intervention	NOUN
cana-651	33	13	.	.	PUNCT
cana-651	34	1	this	this	DET
cana-651	34	2	system	system	NOUN
cana-651	34	3	requires	require	VERB
cana-651	34	4	consistent	consistent	ADJ
cana-651	34	5	human	human	ADJ
cana-651	34	6	input	input	NOUN
cana-651	34	7	.	.	PUNCT
cana-651	35	1	video	video	NOUN
cana-651	35	2	surveillance	surveillance	NOUN
cana-651	35	3	systems	system	NOUN
cana-651	35	4	gather	gather	VERB
cana-651	35	5	data	datum	NOUN
cana-651	35	6	24/7	24/7	NOUN
cana-651	35	7	.	.	PUNCT
cana-651	36	1	so	so	ADV
cana-651	36	2	,	,	PUNCT
cana-651	36	3	it	it	PRON
cana-651	36	4	becomes	become	VERB
cana-651	36	5	difficult	difficult	ADJ
cana-651	36	6	for	for	SCONJ
cana-651	36	7	any	any	DET
cana-651	36	8	human	human	NOUN
cana-651	36	9	to	to	PART
cana-651	36	10	stay	stay	VERB
cana-651	36	11	consistent	consistent	ADJ
cana-651	36	12	for	for	ADP
cana-651	36	13	any	any	DET
cana-651	36	14	visual	visual	ADJ
cana-651	36	15	attention	attention	NOUN
cana-651	36	16	over	over	ADP
cana-651	36	17	longer	long	ADJ
cana-651	36	18	periods	period	NOUN
cana-651	36	19	.	.	PUNCT
cana-651	37	1	over	over	ADP
cana-651	37	2	time	time	NOUN
cana-651	37	3	by	by	ADP
cana-651	37	4	time	time	NOUN
cana-651	37	5	,	,	PUNCT
cana-651	37	6	visual	visual	ADJ
cana-651	37	7	attention	attention	NOUN
cana-651	37	8	gets	get	AUX
cana-651	37	9	drastically	drastically	ADV
cana-651	37	10	reduced	reduce	VERB
cana-651	37	11	of	of	ADP
cana-651	37	12	any	any	DET
cana-651	37	13	supervisor	supervisor	NOUN
cana-651	37	14	who	who	PRON
cana-651	37	15	is	be	AUX
cana-651	37	16	tracking	track	VERB
cana-651	37	17	and	and	CCONJ
cana-651	37	18	monitoring	monitor	VERB
cana-651	37	19	video	video	NOUN
cana-651	37	20	surveillance	surveillance	NOUN
cana-651	37	21	system	system	NOUN
cana-651	37	22	under	under	ADP
cana-651	37	23	his	his	PRON
cana-651	37	24	recognition	recognition	NOUN
cana-651	37	25	.	.	PUNCT
cana-651	38	1	many	many	ADJ
cana-651	38	2	deep	deep	ADJ
cana-651	38	3	learning	learn	VERB
cana-651	38	4	advanced	advanced	ADJ
cana-651	38	5	techniques	technique	NOUN
cana-651	38	6	have	have	AUX
cana-651	38	7	been	be	AUX
cana-651	38	8	introduced	introduce	VERB
cana-651	38	9	past	past	ADP
cana-651	38	10	10	10	NUM
cana-651	38	11	years	year	NOUN
cana-651	38	12	which	which	PRON
cana-651	38	13	do	do	AUX
cana-651	38	14	not	not	PART
cana-651	38	15	rely	rely	VERB
cana-651	38	16	on	on	ADP
cana-651	38	17	any	any	DET
cana-651	38	18	human	human	ADJ
cana-651	38	19	intervention	intervention	NOUN
cana-651	38	20	and	and	CCONJ
cana-651	38	21	which	which	PRON
cana-651	38	22	detect	detect	VERB
cana-651	38	23	anomalies	anomaly	NOUN
cana-651	38	24	in	in	ADP
cana-651	38	25	a	a	DET
cana-651	38	26	consistent	consistent	ADJ
cana-651	38	27	manner	manner	NOUN
cana-651	38	28	with	with	ADP
cana-651	38	29	communications	communication	NOUN
cana-651	38	30	on	on	ADP
cana-651	38	31	applied	apply	VERB
cana-651	38	32	nonlinear	nonlinear	ADJ
cana-651	38	33	analysis	analysis	NOUN
cana-651	38	34	issn	issn	NOUN
cana-651	38	35	:	:	PUNCT
cana-651	38	36	1074	1074	NUM
cana-651	38	37	-	-	PUNCT
cana-651	38	38	133x	133x	NUM
cana-651	38	39	vol	vol	NOUN
cana-651	38	40	31	31	NUM
cana-651	38	41	no	no	NOUN
cana-651	38	42	.	.	PUNCT
cana-651	39	1	2s	2s	NUM
cana-651	39	2	(	(	PUNCT
cana-651	39	3	2024	2024	NUM
cana-651	39	4	)	)	PUNCT
cana-651	39	5	308	308	NUM
cana-651	39	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-651	39	7	minimal	minimal	ADJ
cana-651	39	8	false	false	ADJ
cana-651	39	9	negative	negative	ADJ
cana-651	39	10	rates	rate	NOUN
cana-651	39	11	.	.	PUNCT
cana-651	40	1	research	research	NOUN
cana-651	40	2	is	be	AUX
cana-651	40	3	still	still	ADV
cana-651	40	4	carried	carry	VERB
cana-651	40	5	out	out	ADP
cana-651	40	6	on	on	ADP
cana-651	40	7	this	this	DET
cana-651	40	8	topic	topic	NOUN
cana-651	40	9	as	as	SCONJ
cana-651	40	10	it	it	PRON
cana-651	40	11	is	be	AUX
cana-651	40	12	one	one	NUM
cana-651	40	13	of	of	ADP
cana-651	40	14	the	the	DET
cana-651	40	15	complex	complex	ADJ
cana-651	40	16	and	and	CCONJ
cana-651	40	17	crucial	crucial	ADJ
cana-651	40	18	topics	topic	NOUN
cana-651	40	19	in	in	ADP
cana-651	40	20	the	the	DET
cana-651	40	21	domain	domain	NOUN
cana-651	40	22	of	of	ADP
cana-651	40	23	deep	deep	ADJ
cana-651	40	24	learning	learning	NOUN
cana-651	40	25	.	.	PUNCT
cana-651	41	1	in	in	ADP
cana-651	41	2	this	this	DET
cana-651	41	3	section	section	NOUN
cana-651	41	4	of	of	ADP
cana-651	41	5	related	related	ADJ
cana-651	41	6	work	work	NOUN
cana-651	41	7	,	,	PUNCT
cana-651	41	8	the	the	DET
cana-651	41	9	authors	author	NOUN
cana-651	41	10	of	of	ADP
cana-651	41	11	this	this	DET
cana-651	41	12	paper	paper	NOUN
cana-651	41	13	researched	research	VERB
cana-651	41	14	over	over	ADP
cana-651	41	15	15	15	NUM
cana-651	41	16	research	research	NOUN
cana-651	41	17	papers	paper	NOUN
cana-651	41	18	and	and	CCONJ
cana-651	41	19	their	their	PRON
cana-651	41	20	articles	article	NOUN
cana-651	41	21	.	.	PUNCT
cana-651	42	1	the	the	DET
cana-651	42	2	best	good	ADJ
cana-651	42	3	two	two	NUM
cana-651	42	4	papers	paper	NOUN
cana-651	42	5	of	of	ADP
cana-651	42	6	every	every	DET
cana-651	42	7	year	year	NOUN
cana-651	42	8	ranging	range	VERB
cana-651	42	9	from	from	ADP
cana-651	42	10	2017	2017	NUM
cana-651	42	11	to	to	ADP
cana-651	42	12	2023	2023	NUM
cana-651	42	13	are	be	AUX
cana-651	42	14	aligned	align	VERB
cana-651	42	15	sequentially	sequentially	ADV
cana-651	42	16	year	year	NOUN
cana-651	42	17	by	by	ADP
cana-651	42	18	year	year	NOUN
cana-651	42	19	.	.	PUNCT
cana-651	43	1	so	so	ADV
cana-651	43	2	,	,	PUNCT
cana-651	43	3	all	all	DET
cana-651	43	4	the	the	DET
cana-651	43	5	techniques	technique	NOUN
cana-651	43	6	can	can	AUX
cana-651	43	7	be	be	AUX
cana-651	43	8	analyzed	analyze	VERB
cana-651	43	9	sequentially	sequentially	ADV
cana-651	43	10	and	and	CCONJ
cana-651	43	11	their	their	PRON
cana-651	43	12	evolution	evolution	NOUN
cana-651	43	13	year	year	NOUN
cana-651	43	14	-	-	PUNCT
cana-651	43	15	wise	wise	ADJ
cana-651	43	16	.	.	PUNCT
cana-651	44	1	in	in	ADP
cana-651	44	2	the	the	DET
cana-651	44	3	first	first	ADJ
cana-651	44	4	paper	paper	NOUN
cana-651	44	5	of	of	ADP
cana-651	44	6	the	the	DET
cana-651	44	7	year	year	NOUN
cana-651	44	8	2017	2017	NUM
cana-651	44	9	,	,	PUNCT
cana-651	44	10	authors	author	NOUN
cana-651	44	11	used	use	VERB
cana-651	44	12	a	a	DET
cana-651	44	13	two	two	NUM
cana-651	44	14	-	-	PUNCT
cana-651	44	15	phase	phase	NOUN
cana-651	44	16	background	background	NOUN
cana-651	44	17	estimation	estimation	NOUN
cana-651	44	18	module	module	NOUN
cana-651	44	19	which	which	PRON
cana-651	44	20	mainly	mainly	ADV
cana-651	44	21	relies	rely	VERB
cana-651	44	22	on	on	ADP
cana-651	44	23	a	a	DET
cana-651	44	24	stable	stable	ADJ
cana-651	44	25	background	background	NOUN
cana-651	44	26	.	.	PUNCT
cana-651	45	1	in	in	ADP
cana-651	45	2	every	every	DET
cana-651	45	3	video	video	NOUN
cana-651	45	4	,	,	PUNCT
cana-651	45	5	the	the	DET
cana-651	45	6	first	first	ADJ
cana-651	45	7	background	background	NOUN
cana-651	45	8	will	will	AUX
cana-651	45	9	be	be	AUX
cana-651	45	10	depicted	depict	VERB
cana-651	45	11	from	from	ADP
cana-651	45	12	the	the	DET
cana-651	45	13	main	main	ADJ
cana-651	45	14	frame	frame	NOUN
cana-651	45	15	and	and	CCONJ
cana-651	45	16	the	the	DET
cana-651	45	17	movable	movable	ADJ
cana-651	45	18	foreground	foreground	NOUN
cana-651	45	19	will	will	AUX
cana-651	45	20	only	only	ADV
cana-651	45	21	be	be	AUX
cana-651	45	22	captured	capture	VERB
cana-651	45	23	as	as	ADP
cana-651	45	24	a	a	DET
cana-651	45	25	main	main	ADJ
cana-651	45	26	frame	frame	NOUN
cana-651	45	27	.	.	PUNCT
cana-651	46	1	as	as	SCONJ
cana-651	46	2	the	the	DET
cana-651	46	3	background	background	NOUN
cana-651	46	4	gets	get	VERB
cana-651	46	5	stable	stable	ADJ
cana-651	46	6	,	,	PUNCT
cana-651	46	7	it	it	PRON
cana-651	46	8	has	have	VERB
cana-651	46	9	no	no	DET
cana-651	46	10	use	use	NOUN
cana-651	46	11	for	for	ADP
cana-651	46	12	further	further	ADJ
cana-651	46	13	processing	processing	NOUN
cana-651	46	14	.	.	PUNCT
cana-651	47	1	they	they	PRON
cana-651	47	2	used	use	VERB
cana-651	47	3	a	a	DET
cana-651	47	4	deep	deep	ADJ
cana-651	47	5	learning	learning	NOUN
cana-651	47	6	classifier	classifier	NOUN
cana-651	47	7	for	for	ADP
cana-651	47	8	augmented	augment	VERB
cana-651	47	9	reality	reality	NOUN
cana-651	47	10	to	to	PART
cana-651	47	11	depict	depict	VERB
cana-651	47	12	the	the	DET
cana-651	47	13	patches	patch	NOUN
cana-651	47	14	in	in	ADP
cana-651	47	15	line	line	NOUN
cana-651	47	16	.	.	PUNCT
cana-651	48	1	the	the	DET
cana-651	48	2	main	main	ADJ
cana-651	48	3	challenges	challenge	NOUN
cana-651	48	4	they	they	PRON
cana-651	48	5	faced	face	VERB
cana-651	48	6	were	be	AUX
cana-651	48	7	problems	problem	NOUN
cana-651	48	8	in	in	ADP
cana-651	48	9	resolving	resolve	VERB
cana-651	48	10	proper	proper	ADJ
cana-651	48	11	background	background	NOUN
cana-651	48	12	estimation	estimation	NOUN
cana-651	48	13	along	along	ADP
cana-651	48	14	with	with	ADP
cana-651	48	15	activity	activity	NOUN
cana-651	48	16	recognition	recognition	NOUN
cana-651	48	17	[	[	X
cana-651	48	18	1	1	NUM
cana-651	48	19	]	]	PUNCT
cana-651	48	20	.	.	PUNCT
cana-651	49	1	in	in	ADP
cana-651	49	2	the	the	DET
cana-651	49	3	paper	paper	NOUN
cana-651	49	4	on	on	ADP
cana-651	49	5	video	video	NOUN
cana-651	49	6	anomaly	anomaly	NOUN
cana-651	49	7	detection	detection	NOUN
cana-651	49	8	of	of	ADP
cana-651	49	9	the	the	DET
cana-651	49	10	year	year	NOUN
cana-651	49	11	2017	2017	NUM
cana-651	49	12	in	in	ADP
cana-651	49	13	which	which	PRON
cana-651	49	14	they	they	PRON
cana-651	49	15	proposed	propose	VERB
cana-651	49	16	a	a	DET
cana-651	49	17	system	system	NOUN
cana-651	49	18	for	for	ADP
cana-651	49	19	human	human	ADJ
cana-651	49	20	recognition	recognition	NOUN
cana-651	49	21	through	through	ADP
cana-651	49	22	activity	activity	NOUN
cana-651	49	23	,	,	PUNCT
cana-651	49	24	faced	face	VERB
cana-651	49	25	the	the	DET
cana-651	49	26	temporal	temporal	ADJ
cana-651	49	27	correspondence	correspondence	NOUN
cana-651	49	28	throughout	throughout	ADP
cana-651	49	29	the	the	DET
cana-651	49	30	frames	frame	NOUN
cana-651	49	31	.	.	PUNCT
cana-651	50	1	as	as	SCONJ
cana-651	50	2	temporal	temporal	ADJ
cana-651	50	3	correspondence	correspondence	NOUN
cana-651	50	4	varies	vary	VERB
cana-651	50	5	the	the	DET
cana-651	50	6	data	data	NOUN
cana-651	50	7	time	time	NOUN
cana-651	50	8	by	by	ADP
cana-651	50	9	time	time	NOUN
cana-651	50	10	.	.	PUNCT
cana-651	51	1	it	it	PRON
cana-651	51	2	becomes	become	VERB
cana-651	51	3	difficult	difficult	ADJ
cana-651	51	4	to	to	PART
cana-651	51	5	augment	augment	VERB
cana-651	51	6	the	the	DET
cana-651	51	7	data	datum	NOUN
cana-651	51	8	frame	frame	NOUN
cana-651	51	9	by	by	ADP
cana-651	51	10	frame	frame	NOUN
cana-651	51	11	.	.	PUNCT
cana-651	52	1	they	they	PRON
cana-651	52	2	used	use	VERB
cana-651	52	3	kalman	kalman	PROPN
cana-651	52	4	filtering	filtering	NOUN
cana-651	52	5	and	and	CCONJ
cana-651	52	6	vector	vector	NOUN
cana-651	52	7	-	-	PUNCT
cana-651	52	8	based	base	VERB
cana-651	52	9	feature	feature	NOUN
cana-651	52	10	extraction	extraction	NOUN
cana-651	52	11	for	for	ADP
cana-651	52	12	their	their	PRON
cana-651	52	13	proposed	propose	VERB
cana-651	52	14	model	model	NOUN
cana-651	52	15	which	which	PRON
cana-651	52	16	helped	help	VERB
cana-651	52	17	them	they	PRON
cana-651	52	18	track	track	VERB
cana-651	52	19	initial	initial	ADJ
cana-651	52	20	objects	object	NOUN
cana-651	52	21	in	in	ADP
cana-651	52	22	a	a	DET
cana-651	52	23	path	path	NOUN
cana-651	52	24	named	name	VERB
cana-651	52	25	as	as	ADP
cana-651	52	26	eigen	eigen	PROPN
cana-651	52	27	process[2	process[2	PROPN
cana-651	52	28	]	]	PUNCT
cana-651	52	29	.	.	PUNCT
cana-651	53	1	in	in	ADP
cana-651	53	2	2018	2018	NUM
cana-651	53	3	,	,	PUNCT
cana-651	53	4	one	one	NUM
cana-651	53	5	paper	paper	NOUN
cana-651	53	6	proposed	propose	VERB
cana-651	53	7	a	a	DET
cana-651	53	8	system	system	NOUN
cana-651	53	9	using	use	VERB
cana-651	53	10	cnn	cnn	PROPN
cana-651	53	11	and	and	CCONJ
cana-651	53	12	convlstm	convlstm	VERB
cana-651	53	13	for	for	ADP
cana-651	53	14	enhanced	enhanced	ADJ
cana-651	53	15	temporal	temporal	ADJ
cana-651	53	16	pattern	pattern	NOUN
cana-651	53	17	classification	classification	NOUN
cana-651	53	18	with	with	ADP
cana-651	53	19	an	an	DET
cana-651	53	20	accuracy	accuracy	NOUN
cana-651	53	21	of	of	ADP
cana-651	53	22	74.8	74.8	NUM
cana-651	53	23	%	%	NOUN
cana-651	53	24	and	and	CCONJ
cana-651	53	25	80.2	80.2	NUM
cana-651	53	26	%	%	NOUN
cana-651	53	27	for	for	ADP
cana-651	53	28	the	the	DET
cana-651	53	29	ucsd	ucsd	PROPN
cana-651	53	30	pedestrian	pedestrian	PROPN
cana-651	53	31	1	1	NUM
cana-651	53	32	and	and	CCONJ
cana-651	53	33	ucsd	ucsd	PROPN
cana-651	53	34	pedestrian	pedestrian	NOUN
cana-651	53	35	2	2	NUM
cana-651	53	36	datasets	dataset	NOUN
cana-651	53	37	.	.	PUNCT
cana-651	54	1	they	they	PRON
cana-651	54	2	faced	face	VERB
cana-651	54	3	challenges	challenge	NOUN
cana-651	54	4	in	in	ADP
cana-651	54	5	their	their	PRON
cana-651	54	6	system	system	NOUN
cana-651	54	7	regarding	regard	VERB
cana-651	54	8	the	the	DET
cana-651	54	9	intricate	intricate	ADJ
cana-651	54	10	nature	nature	NOUN
cana-651	54	11	of	of	ADP
cana-651	54	12	anomalies	anomaly	NOUN
cana-651	54	13	in	in	ADP
cana-651	54	14	their	their	PRON
cana-651	54	15	contextual	contextual	ADJ
cana-651	54	16	patterns	pattern	NOUN
cana-651	54	17	along	along	ADP
cana-651	54	18	with	with	ADP
cana-651	54	19	broader	broad	ADJ
cana-651	54	20	adaptability	adaptability	NOUN
cana-651	54	21	[	[	X
cana-651	54	22	3	3	NUM
cana-651	54	23	]	]	PUNCT
cana-651	54	24	.	.	PUNCT
cana-651	55	1	another	another	DET
cana-651	55	2	paper	paper	NOUN
cana-651	55	3	of	of	ADP
cana-651	55	4	2018	2018	NUM
cana-651	55	5	emprises	emprise	VERB
cana-651	55	6	the	the	DET
cana-651	55	7	main	main	ADJ
cana-651	55	8	challenges	challenge	NOUN
cana-651	55	9	of	of	ADP
cana-651	55	10	online	online	ADJ
cana-651	55	11	alerts	alert	NOUN
cana-651	55	12	and	and	CCONJ
cana-651	55	13	speed	speed	NOUN
cana-651	55	14	detection	detection	NOUN
cana-651	55	15	which	which	PRON
cana-651	55	16	gives	give	VERB
cana-651	55	17	them	they	PRON
cana-651	55	18	errors	error	NOUN
cana-651	55	19	while	while	SCONJ
cana-651	55	20	training	train	VERB
cana-651	55	21	their	their	PRON
cana-651	55	22	model	model	NOUN
cana-651	55	23	as	as	SCONJ
cana-651	55	24	their	their	PRON
cana-651	55	25	training	training	NOUN
cana-651	55	26	model	model	NOUN
cana-651	55	27	was	be	AUX
cana-651	55	28	taking	take	VERB
cana-651	55	29	much	much	ADV
cana-651	55	30	higher	high	ADJ
cana-651	55	31	time	time	NOUN
cana-651	55	32	compared	compare	VERB
cana-651	55	33	to	to	ADP
cana-651	55	34	the	the	DET
cana-651	55	35	expected	expect	VERB
cana-651	55	36	time	time	NOUN
cana-651	55	37	.	.	PUNCT
cana-651	56	1	they	they	PRON
cana-651	56	2	elaborated	elaborate	VERB
cana-651	56	3	on	on	ADP
cana-651	56	4	the	the	DET
cana-651	56	5	issue	issue	NOUN
cana-651	56	6	of	of	ADP
cana-651	56	7	localization	localization	NOUN
cana-651	56	8	and	and	CCONJ
cana-651	56	9	its	its	PRON
cana-651	56	10	absence	absence	NOUN
cana-651	56	11	in	in	ADP
cana-651	56	12	the	the	DET
cana-651	56	13	existing	exist	VERB
cana-651	56	14	systems	system	NOUN
cana-651	56	15	.	.	PUNCT
cana-651	57	1	localization	localization	NOUN
cana-651	57	2	tells	tell	VERB
cana-651	57	3	the	the	DET
cana-651	57	4	feature	feature	NOUN
cana-651	57	5	location	location	NOUN
cana-651	57	6	of	of	ADP
cana-651	57	7	the	the	DET
cana-651	57	8	anomaly	anomaly	NOUN
cana-651	57	9	present	present	NOUN
cana-651	57	10	in	in	ADP
cana-651	57	11	the	the	DET
cana-651	57	12	given	give	VERB
cana-651	57	13	frame	frame	NOUN
cana-651	57	14	.	.	PUNCT
cana-651	58	1	they	they	PRON
cana-651	58	2	diverted	divert	VERB
cana-651	58	3	their	their	PRON
cana-651	58	4	architecture	architecture	NOUN
cana-651	58	5	mainly	mainly	ADV
cana-651	58	6	into	into	ADP
cana-651	58	7	two	two	NUM
cana-651	58	8	phases	phase	NOUN
cana-651	58	9	as	as	ADP
cana-651	58	10	a	a	DET
cana-651	58	11	train	train	NOUN
cana-651	58	12	network	network	NOUN
cana-651	58	13	and	and	CCONJ
cana-651	58	14	a	a	DET
cana-651	58	15	detection	detection	NOUN
cana-651	58	16	classifier	classifier	NOUN
cana-651	58	17	where	where	SCONJ
cana-651	58	18	there	there	PRON
cana-651	58	19	were	be	VERB
cana-651	58	20	five	five	NUM
cana-651	58	21	detection	detection	NOUN
cana-651	58	22	classes	class	NOUN
cana-651	58	23	along	along	ADP
cana-651	58	24	with	with	ADP
cana-651	58	25	their	their	PRON
cana-651	58	26	scores	score	NOUN
cana-651	58	27	.	.	PUNCT
cana-651	59	1	each	each	DET
cana-651	59	2	detection	detection	NOUN
cana-651	59	3	class	class	NOUN
cana-651	59	4	will	will	AUX
cana-651	59	5	record	record	VERB
cana-651	59	6	its	its	PRON
cana-651	59	7	own	own	ADJ
cana-651	59	8	detection	detection	NOUN
cana-651	59	9	score	score	NOUN
cana-651	59	10	and	and	CCONJ
cana-651	59	11	the	the	DET
cana-651	59	12	maximum	maximum	ADJ
cana-651	59	13	detection	detection	NOUN
cana-651	59	14	score	score	NOUN
cana-651	59	15	will	will	AUX
cana-651	59	16	be	be	AUX
cana-651	59	17	rewarded	reward	VERB
cana-651	59	18	as	as	ADP
cana-651	59	19	the	the	DET
cana-651	59	20	final	final	ADJ
cana-651	59	21	detection	detection	NOUN
cana-651	59	22	score	score	NOUN
cana-651	59	23	and	and	CCONJ
cana-651	59	24	then	then	ADV
cana-651	59	25	anomaly	anomaly	NOUN
cana-651	59	26	will	will	AUX
cana-651	59	27	be	be	AUX
cana-651	59	28	detected	detect	VERB
cana-651	59	29	[	[	X
cana-651	59	30	4	4	NUM
cana-651	59	31	]	]	PUNCT
cana-651	59	32	.	.	PUNCT
cana-651	60	1	in	in	ADP
cana-651	60	2	the	the	DET
cana-651	60	3	next	next	ADJ
cana-651	60	4	year	year	NOUN
cana-651	60	5	2019	2019	NUM
cana-651	60	6	,	,	PUNCT
cana-651	60	7	the	the	DET
cana-651	60	8	first	first	ADJ
cana-651	60	9	paper	paper	NOUN
cana-651	60	10	proposed	propose	VERB
cana-651	60	11	a	a	DET
cana-651	60	12	system	system	NOUN
cana-651	60	13	including	include	VERB
cana-651	60	14	cnn	cnn	PROPN
cana-651	60	15	as	as	ADP
cana-651	60	16	their	their	PRON
cana-651	60	17	main	main	ADJ
cana-651	60	18	framework	framework	NOUN
cana-651	60	19	for	for	ADP
cana-651	60	20	detecting	detect	VERB
cana-651	60	21	anomalies	anomaly	NOUN
cana-651	60	22	and	and	CCONJ
cana-651	60	23	si	si	PROPN
cana-651	60	24	and	and	CCONJ
cana-651	60	25	mhof	mhof	ADV
cana-651	60	26	they	they	PRON
cana-651	60	27	had	have	AUX
cana-651	60	28	used	use	VERB
cana-651	60	29	as	as	ADP
cana-651	60	30	a	a	DET
cana-651	60	31	spark	spark	NOUN
cana-651	60	32	ignition	ignition	NOUN
cana-651	60	33	model	model	NOUN
cana-651	60	34	along	along	ADP
cana-651	60	35	with	with	ADP
cana-651	60	36	tackling	tackle	VERB
cana-651	60	37	a	a	DET
cana-651	60	38	few	few	ADJ
cana-651	60	39	challenges	challenge	NOUN
cana-651	60	40	associated	associate	VERB
cana-651	60	41	with	with	ADP
cana-651	60	42	rgb	rgb	PROPN
cana-651	60	43	levels	level	NOUN
cana-651	60	44	and	and	CCONJ
cana-651	60	45	their	their	PRON
cana-651	60	46	edges	edge	NOUN
cana-651	60	47	and	and	CCONJ
cana-651	60	48	tracking	tracking	NOUN
cana-651	60	49	of	of	ADP
cana-651	60	50	objects	object	NOUN
cana-651	60	51	from	from	ADP
cana-651	60	52	angle	angle	NOUN
cana-651	60	53	derivations	derivation	NOUN
cana-651	60	54	from	from	ADP
cana-651	60	55	multiple	multiple	ADJ
cana-651	60	56	camera	camera	NOUN
cana-651	60	57	feeds	feed	NOUN
cana-651	60	58	.	.	PUNCT
cana-651	61	1	they	they	PRON
cana-651	61	2	impressed	impress	VERB
cana-651	61	3	principal	principal	ADJ
cana-651	61	4	component	component	NOUN
cana-651	61	5	analysis	analysis	NOUN
cana-651	61	6	for	for	ADP
cana-651	61	7	obtaining	obtain	VERB
cana-651	61	8	a	a	DET
cana-651	61	9	higher	higher	ADV
cana-651	61	10	-	-	PUNCT
cana-651	61	11	graded	grade	VERB
cana-651	61	12	feature	feature	NOUN
cana-651	61	13	[	[	X
cana-651	61	14	5	5	NUM
cana-651	61	15	]	]	PUNCT
cana-651	61	16	.	.	PUNCT
cana-651	62	1	in	in	ADP
cana-651	62	2	another	another	DET
cana-651	62	3	paper	paper	NOUN
cana-651	62	4	of	of	ADP
cana-651	62	5	2019	2019	NUM
cana-651	62	6	,	,	PUNCT
cana-651	62	7	the	the	DET
cana-651	62	8	proposed	propose	VERB
cana-651	62	9	system	system	NOUN
cana-651	62	10	was	be	AUX
cana-651	62	11	trained	train	VERB
cana-651	62	12	and	and	CCONJ
cana-651	62	13	tested	test	VERB
cana-651	62	14	on	on	ADP
cana-651	62	15	three	three	NUM
cana-651	62	16	different	different	ADJ
cana-651	62	17	datasets	dataset	NOUN
cana-651	62	18	as	as	SCONJ
cana-651	62	19	only	only	ADV
cana-651	62	20	one	one	NUM
cana-651	62	21	dataset	dataset	NOUN
cana-651	62	22	was	be	AUX
cana-651	62	23	not	not	PART
cana-651	62	24	efficient	efficient	ADJ
cana-651	62	25	for	for	ADP
cana-651	62	26	checking	check	VERB
cana-651	62	27	the	the	DET
cana-651	62	28	efficiency	efficiency	NOUN
cana-651	62	29	of	of	ADP
cana-651	62	30	the	the	DET
cana-651	62	31	model	model	NOUN
cana-651	62	32	.	.	PUNCT
cana-651	63	1	they	they	PRON
cana-651	63	2	used	use	VERB
cana-651	63	3	the	the	DET
cana-651	63	4	cuhk	cuhk	NOUN
cana-651	63	5	dataset	dataset	PROPN
cana-651	63	6	,	,	PUNCT
cana-651	63	7	ucsd	ucsd	PROPN
cana-651	63	8	pedestrian	pedestrian	PROPN
cana-651	63	9	set	set	VERB
cana-651	63	10	1	1	NUM
cana-651	63	11	,	,	PUNCT
cana-651	63	12	and	and	CCONJ
cana-651	63	13	ucsd	ucsd	PROPN
cana-651	63	14	pedestrian	pedestrian	NOUN
cana-651	63	15	set	set	VERB
cana-651	63	16	2	2	NUM
cana-651	63	17	as	as	ADP
cana-651	63	18	their	their	PRON
cana-651	63	19	three	three	NUM
cana-651	63	20	major	major	ADJ
cana-651	63	21	datasets	dataset	NOUN
cana-651	63	22	.	.	PUNCT
cana-651	64	1	the	the	DET
cana-651	64	2	main	main	ADJ
cana-651	64	3	method	method	NOUN
cana-651	64	4	was	be	AUX
cana-651	64	5	based	base	VERB
cana-651	64	6	on	on	ADP
cana-651	64	7	attention	attention	NOUN
cana-651	64	8	-	-	PUNCT
cana-651	64	9	driven	drive	VERB
cana-651	64	10	loss	loss	NOUN
cana-651	64	11	which	which	PRON
cana-651	64	12	they	they	PRON
cana-651	64	13	segregated	segregate	VERB
cana-651	64	14	into	into	ADP
cana-651	64	15	two	two	NUM
cana-651	64	16	losses	loss	NOUN
cana-651	64	17	.	.	PUNCT
cana-651	65	1	they	they	PRON
cana-651	65	2	were	be	AUX
cana-651	65	3	facing	face	VERB
cana-651	65	4	problems	problem	NOUN
cana-651	65	5	in	in	ADP
cana-651	65	6	their	their	PRON
cana-651	65	7	model	model	NOUN
cana-651	65	8	for	for	ADP
cana-651	65	9	handling	handle	VERB
cana-651	65	10	and	and	CCONJ
cana-651	65	11	defining	define	VERB
cana-651	65	12	all	all	DET
cana-651	65	13	negative	negative	ADJ
cana-651	65	14	samples	sample	NOUN
cana-651	65	15	[	[	X
cana-651	65	16	6	6	NUM
cana-651	65	17	]	]	PUNCT
cana-651	65	18	.	.	PUNCT
cana-651	66	1	in	in	ADP
cana-651	66	2	the	the	DET
cana-651	66	3	year	year	NOUN
cana-651	66	4	2020	2020	NUM
cana-651	66	5	,	,	PUNCT
cana-651	66	6	the	the	DET
cana-651	66	7	authors	author	NOUN
cana-651	66	8	of	of	ADP
cana-651	66	9	this	this	DET
cana-651	66	10	paper	paper	NOUN
cana-651	66	11	used	use	VERB
cana-651	66	12	performance	performance	NOUN
cana-651	66	13	metrics	metric	NOUN
cana-651	66	14	at	at	ADP
cana-651	66	15	the	the	DET
cana-651	66	16	very	very	ADJ
cana-651	66	17	stage	stage	NOUN
cana-651	66	18	level	level	NOUN
cana-651	66	19	for	for	ADP
cana-651	66	20	tuning	tuning	NOUN
cana-651	66	21	and	and	CCONJ
cana-651	66	22	analyzing	analyze	VERB
cana-651	66	23	the	the	DET
cana-651	66	24	efficiency	efficiency	NOUN
cana-651	66	25	of	of	ADP
cana-651	66	26	the	the	DET
cana-651	66	27	system	system	NOUN
cana-651	66	28	along	along	ADP
cana-651	66	29	they	they	PRON
cana-651	66	30	introduced	introduce	VERB
cana-651	66	31	eyeball	eyeball	NOUN
cana-651	66	32	evaluation	evaluation	NOUN
cana-651	66	33	as	as	ADP
cana-651	66	34	their	their	PRON
cana-651	66	35	new	new	ADJ
cana-651	66	36	metrics	metric	NOUN
cana-651	66	37	and	and	CCONJ
cana-651	66	38	the	the	DET
cana-651	66	39	main	main	ADJ
cana-651	66	40	component	component	NOUN
cana-651	66	41	of	of	ADP
cana-651	66	42	the	the	DET
cana-651	66	43	model	model	NOUN
cana-651	66	44	.	.	PUNCT
cana-651	67	1	it	it	PRON
cana-651	67	2	is	be	AUX
cana-651	67	3	the	the	DET
cana-651	67	4	evaluation	evaluation	NOUN
cana-651	67	5	metrics	metric	NOUN
cana-651	67	6	of	of	ADP
cana-651	67	7	a	a	DET
cana-651	67	8	detector	detector	NOUN
cana-651	67	9	that	that	PRON
cana-651	67	10	analyzes	analyze	VERB
cana-651	67	11	all	all	DET
cana-651	67	12	the	the	DET
cana-651	67	13	graphs	graph	NOUN
cana-651	67	14	and	and	CCONJ
cana-651	67	15	contains	contain	VERB
cana-651	67	16	all	all	DET
cana-651	67	17	the	the	DET
cana-651	67	18	information	information	NOUN
cana-651	67	19	.	.	PUNCT
cana-651	68	1	they	they	PRON
cana-651	68	2	faced	face	VERB
cana-651	68	3	the	the	DET
cana-651	68	4	problem	problem	NOUN
cana-651	68	5	of	of	ADP
cana-651	68	6	lack	lack	NOUN
cana-651	68	7	of	of	ADP
cana-651	68	8	labeled	label	VERB
cana-651	68	9	data	datum	NOUN
cana-651	68	10	in	in	ADP
cana-651	68	11	a	a	DET
cana-651	68	12	particular	particular	ADJ
cana-651	68	13	class	class	NOUN
cana-651	68	14	as	as	ADP
cana-651	68	15	class	class	NOUN
cana-651	68	16	imbalance	imbalance	NOUN
cana-651	68	17	and	and	CCONJ
cana-651	68	18	time	time	NOUN
cana-651	68	19	factor	factor	NOUN
cana-651	68	20	for	for	ADP
cana-651	68	21	anomaly	anomaly	NOUN
cana-651	68	22	detection	detection	NOUN
cana-651	68	23	were	be	AUX
cana-651	68	24	comparatively	comparatively	ADV
cana-651	68	25	higher	high	ADJ
cana-651	68	26	than	than	ADP
cana-651	68	27	others	other	NOUN
cana-651	69	1	[	[	X
cana-651	69	2	7	7	NUM
cana-651	69	3	]	]	PUNCT
cana-651	69	4	.	.	PUNCT
cana-651	70	1	communications	communication	NOUN
cana-651	70	2	on	on	ADP
cana-651	70	3	applied	apply	VERB
cana-651	70	4	nonlinear	nonlinear	ADJ
cana-651	70	5	analysis	analysis	NOUN
cana-651	70	6	issn	issn	NOUN
cana-651	70	7	:	:	PUNCT
cana-651	70	8	1074	1074	NUM
cana-651	70	9	-	-	PUNCT
cana-651	70	10	133x	133x	NUM
cana-651	70	11	vol	vol	NOUN
cana-651	70	12	31	31	NUM
cana-651	70	13	no	no	NOUN
cana-651	70	14	.	.	PUNCT
cana-651	71	1	2s	2s	NUM
cana-651	71	2	(	(	PUNCT
cana-651	71	3	2024	2024	NUM
cana-651	71	4	)	)	PUNCT
cana-651	71	5	309	309	NUM
cana-651	71	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-651	71	7	another	another	DET
cana-651	71	8	2020	2020	NUM
cana-651	71	9	paper	paper	NOUN
cana-651	71	10	described	describe	VERB
cana-651	71	11	their	their	PRON
cana-651	71	12	model	model	NOUN
cana-651	71	13	on	on	ADP
cana-651	71	14	the	the	DET
cana-651	71	15	vgg-16	vgg-16	NOUN
cana-651	71	16	implemented	implement	VERB
cana-651	71	17	via	via	ADP
cana-651	71	18	imagenet	imagenet	NOUN
cana-651	71	19	dataset	dataset	NOUN
cana-651	71	20	and	and	CCONJ
cana-651	71	21	they	they	PRON
cana-651	71	22	used	use	VERB
cana-651	71	23	ut	ut	PROPN
cana-651	71	24	interaction	interaction	NOUN
cana-651	71	25	for	for	ADP
cana-651	71	26	their	their	PRON
cana-651	71	27	proposed	propose	VERB
cana-651	71	28	algorithms	algorithm	NOUN
cana-651	71	29	named	name	VERB
cana-651	71	30	cnns	cnn	NOUN
cana-651	71	31	and	and	CCONJ
cana-651	71	32	lstm	lstm	NOUN
cana-651	71	33	.	.	PUNCT
cana-651	72	1	their	their	PRON
cana-651	72	2	proposed	propose	VERB
cana-651	72	3	model	model	NOUN
cana-651	72	4	was	be	AUX
cana-651	72	5	only	only	ADV
cana-651	72	6	certain	certain	ADJ
cana-651	72	7	restricted	restrict	VERB
cana-651	72	8	to	to	ADP
cana-651	72	9	academic	academic	ADJ
cana-651	72	10	areas	area	NOUN
cana-651	72	11	only	only	ADV
cana-651	72	12	[	[	X
cana-651	72	13	8	8	NUM
cana-651	72	14	]	]	PUNCT
cana-651	72	15	.	.	PUNCT
cana-651	73	1	the	the	DET
cana-651	73	2	2021	2021	NUM
cana-651	73	3	year	year	NOUN
cana-651	73	4	papers	paper	NOUN
cana-651	73	5	mainly	mainly	ADV
cana-651	73	6	comprised	comprise	VERB
cana-651	73	7	new	new	ADJ
cana-651	73	8	and	and	CCONJ
cana-651	73	9	efficient	efficient	ADJ
cana-651	73	10	techniques	technique	NOUN
cana-651	73	11	as	as	SCONJ
cana-651	73	12	the	the	DET
cana-651	73	13	first	first	ADJ
cana-651	73	14	paper	paper	NOUN
cana-651	73	15	proposed	propose	VERB
cana-651	73	16	their	their	PRON
cana-651	73	17	model	model	NOUN
cana-651	73	18	in	in	ADP
cana-651	73	19	a	a	DET
cana-651	73	20	set	set	NOUN
cana-651	73	21	of	of	ADP
cana-651	73	22	2	2	NUM
cana-651	73	23	faster	fast	ADJ
cana-651	73	24	rcnn	rcnn	NOUN
cana-651	73	25	models	model	NOUN
cana-651	73	26	and	and	CCONJ
cana-651	73	27	they	they	PRON
cana-651	73	28	did	do	VERB
cana-651	73	29	a	a	DET
cana-651	73	30	classification	classification	NOUN
cana-651	73	31	process	process	NOUN
cana-651	73	32	using	use	VERB
cana-651	73	33	deep	deep	ADJ
cana-651	73	34	reinforcement	reinforcement	NOUN
cana-651	73	35	technique	technique	NOUN
cana-651	73	36	but	but	CCONJ
cana-651	73	37	they	they	PRON
cana-651	73	38	faced	face	VERB
cana-651	73	39	the	the	DET
cana-651	73	40	problem	problem	NOUN
cana-651	73	41	in	in	ADP
cana-651	73	42	complexity	complexity	NOUN
cana-651	73	43	while	while	SCONJ
cana-651	73	44	attaining	attain	VERB
cana-651	73	45	normal	normal	ADJ
cana-651	73	46	activities	activity	NOUN
cana-651	73	47	and	and	CCONJ
cana-651	73	48	in	in	ADP
cana-651	73	49	the	the	DET
cana-651	73	50	network	network	NOUN
cana-651	73	51	layer	layer	NOUN
cana-651	73	52	.	.	PUNCT
cana-651	74	1	they	they	PRON
cana-651	74	2	used	use	VERB
cana-651	74	3	faster	fast	ADJ
cana-651	74	4	cnns	cnn	NOUN
cana-651	74	5	for	for	ADP
cana-651	74	6	the	the	DET
cana-651	74	7	reason	reason	NOUN
cana-651	74	8	of	of	ADP
cana-651	74	9	their	their	PRON
cana-651	74	10	high	high	ADJ
cana-651	74	11	adaptability	adaptability	NOUN
cana-651	74	12	and	and	CCONJ
cana-651	74	13	their	their	PRON
cana-651	74	14	box	box	NOUN
cana-651	74	15	regression	regression	NOUN
cana-651	74	16	coincidence	coincidence	NOUN
cana-651	74	17	[	[	X
cana-651	74	18	9	9	NUM
cana-651	74	19	]	]	PUNCT
cana-651	74	20	.	.	PUNCT
cana-651	75	1	another	another	DET
cana-651	75	2	paper	paper	NOUN
cana-651	75	3	focused	focus	VERB
cana-651	75	4	on	on	ADP
cana-651	75	5	the	the	DET
cana-651	75	6	deep	deep	ADJ
cana-651	75	7	learning	learning	NOUN
cana-651	75	8	method	method	NOUN
cana-651	75	9	as	as	ADP
cana-651	75	10	a	a	DET
cana-651	75	11	refined	refined	ADJ
cana-651	75	12	resnet-50	resnet-50	PROPN
cana-651	75	13	model	model	NOUN
cana-651	75	14	which	which	PRON
cana-651	75	15	was	be	AUX
cana-651	75	16	highly	highly	ADV
cana-651	75	17	powerful	powerful	ADJ
cana-651	75	18	and	and	CCONJ
cana-651	75	19	efficient	efficient	ADJ
cana-651	75	20	.	.	PUNCT
cana-651	76	1	they	they	PRON
cana-651	76	2	did	do	VERB
cana-651	76	3	data	datum	NOUN
cana-651	76	4	augmentation	augmentation	NOUN
cana-651	76	5	for	for	ADP
cana-651	76	6	all	all	DET
cana-651	76	7	the	the	DET
cana-651	76	8	videos	video	NOUN
cana-651	76	9	to	to	PART
cana-651	76	10	be	be	AUX
cana-651	76	11	diverted	divert	VERB
cana-651	76	12	from	from	ADP
cana-651	76	13	every	every	DET
cana-651	76	14	orientation	orientation	NOUN
cana-651	76	15	.	.	PUNCT
cana-651	77	1	they	they	PRON
cana-651	77	2	studied	study	VERB
cana-651	77	3	deeply	deeply	ADV
cana-651	77	4	the	the	DET
cana-651	77	5	duty	duty	NOUN
cana-651	77	6	of	of	ADP
cana-651	77	7	law	law	NOUN
cana-651	77	8	-	-	PUNCT
cana-651	77	9	enforcement	enforcement	NOUN
cana-651	77	10	agencies	agency	NOUN
cana-651	77	11	,	,	PUNCT
cana-651	77	12	their	their	PRON
cana-651	77	13	employees	employee	NOUN
cana-651	77	14	,	,	PUNCT
cana-651	77	15	and	and	CCONJ
cana-651	77	16	their	their	PRON
cana-651	77	17	challenges	challenge	NOUN
cana-651	77	18	[	[	X
cana-651	77	19	10	10	NUM
cana-651	77	20	]	]	PUNCT
cana-651	77	21	.	.	PUNCT
cana-651	78	1	in	in	ADP
cana-651	78	2	the	the	DET
cana-651	78	3	year	year	NOUN
cana-651	78	4	2022	2022	NUM
cana-651	78	5	,	,	PUNCT
cana-651	78	6	this	this	DET
cana-651	78	7	paper	paper	NOUN
cana-651	78	8	used	use	VERB
cana-651	78	9	hevc	hevc	NOUN
cana-651	78	10	which	which	PRON
cana-651	78	11	was	be	AUX
cana-651	78	12	formerly	formerly	ADV
cana-651	78	13	known	know	VERB
cana-651	78	14	as	as	ADP
cana-651	78	15	highefficiency	highefficiency	NOUN
cana-651	78	16	video	video	NOUN
cana-651	78	17	coding	code	VERB
cana-651	78	18	for	for	ADP
cana-651	78	19	down	down	ADP
cana-651	78	20	sampling	sample	VERB
cana-651	78	21	the	the	DET
cana-651	78	22	videos	video	NOUN
cana-651	78	23	for	for	ADP
cana-651	78	24	low	low	ADJ
cana-651	78	25	compression	compression	NOUN
cana-651	78	26	to	to	PART
cana-651	78	27	make	make	VERB
cana-651	78	28	them	they	PRON
cana-651	78	29	low	low	ADJ
cana-651	78	30	bitrate	bitrate	NOUN
cana-651	78	31	from	from	ADP
cana-651	78	32	high	high	ADJ
cana-651	78	33	bitrate	bitrate	NOUN
cana-651	78	34	.	.	PUNCT
cana-651	79	1	they	they	PRON
cana-651	79	2	had	have	AUX
cana-651	79	3	used	use	VERB
cana-651	79	4	resnet50	resnet50	NOUN
cana-651	79	5	and	and	CCONJ
cana-651	79	6	bidirectional	bidirectional	ADJ
cana-651	79	7	lstm	lstm	NOUN
cana-651	79	8	for	for	ADP
cana-651	79	9	their	their	PRON
cana-651	79	10	model	model	NOUN
cana-651	79	11	[	[	X
cana-651	79	12	11	11	NUM
cana-651	79	13	]	]	PUNCT
cana-651	79	14	.	.	PUNCT
cana-651	80	1	another	another	DET
cana-651	80	2	paper	paper	NOUN
cana-651	80	3	focused	focus	VERB
cana-651	80	4	on	on	ADP
cana-651	80	5	three	three	NUM
cana-651	80	6	main	main	ADJ
cana-651	80	7	phases	phase	NOUN
cana-651	80	8	in	in	ADP
cana-651	80	9	their	their	PRON
cana-651	80	10	model	model	NOUN
cana-651	80	11	as	as	ADP
cana-651	80	12	shot	shot	NOUN
cana-651	80	13	segmentation	segmentation	NOUN
cana-651	80	14	,	,	PUNCT
cana-651	80	15	spatio	spatio	PROPN
cana-651	80	16	-	-	PUNCT
cana-651	80	17	temporal	temporal	ADJ
cana-651	80	18	learning	learning	NOUN
cana-651	80	19	,	,	PUNCT
cana-651	80	20	and	and	CCONJ
cana-651	80	21	extraction	extraction	NOUN
cana-651	80	22	of	of	ADP
cana-651	80	23	features	feature	NOUN
cana-651	80	24	along	along	ADP
cana-651	80	25	with	with	ADP
cana-651	80	26	lwcnn	lwcnn	PROPN
cana-651	80	27	.	.	PUNCT
cana-651	81	1	however	however	ADV
cana-651	81	2	the	the	DET
cana-651	81	3	primary	primary	ADJ
cana-651	81	4	ambiguity	ambiguity	NOUN
cana-651	81	5	in	in	ADP
cana-651	81	6	their	their	PRON
cana-651	81	7	defined	define	VERB
cana-651	81	8	classes	class	NOUN
cana-651	81	9	was	be	AUX
cana-651	81	10	high	high	ADJ
cana-651	81	11	and	and	CCONJ
cana-651	81	12	there	there	PRON
cana-651	81	13	was	be	VERB
cana-651	81	14	an	an	DET
cana-651	81	15	imbalance	imbalance	NOUN
cana-651	81	16	between	between	ADP
cana-651	81	17	positive	positive	ADJ
cana-651	81	18	and	and	CCONJ
cana-651	81	19	negative	negative	ADJ
cana-651	81	20	bitrates	bitrate	NOUN
cana-651	81	21	[	[	X
cana-651	81	22	12	12	NUM
cana-651	81	23	]	]	PUNCT
cana-651	81	24	.	.	PUNCT
cana-651	82	1	in	in	ADP
cana-651	82	2	2023	2023	NUM
cana-651	82	3	,	,	PUNCT
cana-651	82	4	this	this	DET
cana-651	82	5	paper	paper	NOUN
cana-651	82	6	introduced	introduce	VERB
cana-651	82	7	an	an	DET
cana-651	82	8	adaptive	adaptive	ADJ
cana-651	82	9	convolutional	convolutional	ADJ
cana-651	82	10	neural	neural	ADJ
cana-651	82	11	network	network	NOUN
cana-651	82	12	as	as	ADP
cana-651	82	13	acnn	acnn	PROPN
cana-651	82	14	and	and	CCONJ
cana-651	82	15	they	they	PRON
cana-651	82	16	achieved	achieve	VERB
cana-651	82	17	an	an	DET
cana-651	82	18	accuracy	accuracy	NOUN
cana-651	82	19	of	of	ADP
cana-651	82	20	90.80	90.80	NUM
cana-651	82	21	%	%	NOUN
cana-651	82	22	by	by	ADP
cana-651	82	23	taking	take	VERB
cana-651	82	24	three	three	NUM
cana-651	82	25	classes	class	NOUN
cana-651	82	26	from	from	ADP
cana-651	82	27	the	the	DET
cana-651	82	28	ucf	ucf	PROPN
cana-651	82	29	dataset	dataset	NOUN
cana-651	82	30	as	as	ADP
cana-651	82	31	fighting	fighting	NOUN
cana-651	82	32	,	,	PUNCT
cana-651	82	33	road	road	NOUN
cana-651	82	34	accidents	accident	NOUN
cana-651	82	35	,	,	PUNCT
cana-651	82	36	and	and	CCONJ
cana-651	82	37	explosion	explosion	VERB
cana-651	82	38	their	their	PRON
cana-651	82	39	three	three	NUM
cana-651	82	40	main	main	ADJ
cana-651	82	41	classes	class	NOUN
cana-651	82	42	.	.	PUNCT
cana-651	83	1	this	this	PRON
cana-651	83	2	was	be	AUX
cana-651	83	3	the	the	DET
cana-651	83	4	latest	late	ADJ
cana-651	83	5	paper	paper	NOUN
cana-651	83	6	by	by	ADP
cana-651	83	7	now	now	ADV
cana-651	83	8	which	which	PRON
cana-651	83	9	had	have	AUX
cana-651	83	10	implemented	implement	VERB
cana-651	83	11	anomaly	anomaly	NOUN
cana-651	83	12	detection	detection	NOUN
cana-651	83	13	using	use	VERB
cana-651	83	14	deep	deep	ADJ
cana-651	83	15	learning	learning	NOUN
cana-651	83	16	techniques	technique	NOUN
cana-651	83	17	[	[	X
cana-651	83	18	13	13	NUM
cana-651	83	19	]	]	PUNCT
cana-651	83	20	.	.	PUNCT
cana-651	84	1	all	all	DET
cana-651	84	2	existing	exist	VERB
cana-651	84	3	systems	system	NOUN
cana-651	84	4	were	be	AUX
cana-651	84	5	based	base	VERB
cana-651	84	6	on	on	ADP
cana-651	84	7	three	three	NUM
cana-651	84	8	main	main	ADJ
cana-651	84	9	parts	part	NOUN
cana-651	84	10	such	such	ADJ
cana-651	84	11	as	as	ADP
cana-651	84	12	supervised	supervised	ADJ
cana-651	84	13	methods	method	NOUN
cana-651	84	14	,	,	PUNCT
cana-651	84	15	semi	semi	ADJ
cana-651	84	16	-	-	ADJ
cana-651	84	17	supervised	supervised	ADJ
cana-651	84	18	methods	method	NOUN
cana-651	84	19	,	,	PUNCT
cana-651	84	20	and	and	CCONJ
cana-651	84	21	unsupervised	unsupervised	ADJ
cana-651	84	22	methods	method	NOUN
cana-651	84	23	.	.	PUNCT
cana-651	85	1	the	the	DET
cana-651	85	2	main	main	ADJ
cana-651	85	3	problem	problem	NOUN
cana-651	85	4	associated	associate	VERB
cana-651	85	5	with	with	ADP
cana-651	85	6	supervised	supervised	ADJ
cana-651	85	7	methods	method	NOUN
cana-651	85	8	was	be	AUX
cana-651	85	9	of	of	ADP
cana-651	85	10	labeling	labeling	NOUN
cana-651	85	11	and	and	CCONJ
cana-651	85	12	its	its	PRON
cana-651	85	13	volumetric	volumetric	ADJ
cana-651	85	14	dimensional	dimensional	ADJ
cana-651	85	15	data	datum	NOUN
cana-651	85	16	.	.	PUNCT
cana-651	86	1	data	datum	NOUN
cana-651	86	2	generated	generate	VERB
cana-651	86	3	from	from	ADP
cana-651	86	4	video	video	NOUN
cana-651	86	5	surveillance	surveillance	NOUN
cana-651	86	6	systems	system	NOUN
cana-651	86	7	is	be	AUX
cana-651	86	8	dynamic	dynamic	ADJ
cana-651	86	9	and	and	CCONJ
cana-651	86	10	its	its	PRON
cana-651	86	11	environment	environment	NOUN
cana-651	86	12	changes	change	VERB
cana-651	86	13	from	from	ADP
cana-651	86	14	time	time	NOUN
cana-651	86	15	to	to	ADP
cana-651	86	16	time	time	NOUN
cana-651	86	17	,	,	PUNCT
cana-651	86	18	this	this	DET
cana-651	86	19	term	term	NOUN
cana-651	86	20	is	be	AUX
cana-651	86	21	called	call	VERB
cana-651	86	22	concept	concept	NOUN
cana-651	86	23	drift	drift	NOUN
cana-651	86	24	.	.	PUNCT
cana-651	87	1	this	this	PRON
cana-651	87	2	was	be	AUX
cana-651	87	3	the	the	DET
cana-651	87	4	main	main	ADJ
cana-651	87	5	liability	liability	NOUN
cana-651	87	6	of	of	ADP
cana-651	87	7	semi	semi	ADJ
cana-651	87	8	-	-	ADJ
cana-651	87	9	supervised	supervised	ADJ
cana-651	87	10	methods	method	NOUN
cana-651	87	11	as	as	SCONJ
cana-651	87	12	they	they	PRON
cana-651	87	13	may	may	AUX
cana-651	87	14	not	not	PART
cana-651	87	15	adapt	adapt	VERB
cana-651	87	16	well	well	ADV
cana-651	87	17	to	to	PART
cana-651	87	18	process	process	VERB
cana-651	87	19	anomalies	anomaly	NOUN
cana-651	87	20	and	and	CCONJ
cana-651	87	21	detect	detect	VERB
cana-651	87	22	them	they	PRON
cana-651	87	23	.	.	PUNCT
cana-651	88	1	unsupervised	unsupervised	ADJ
cana-651	88	2	methods	method	NOUN
cana-651	88	3	were	be	AUX
cana-651	88	4	associated	associate	VERB
cana-651	88	5	with	with	ADP
cana-651	88	6	the	the	DET
cana-651	88	7	problem	problem	NOUN
cana-651	88	8	of	of	ADP
cana-651	88	9	higher	high	ADJ
cana-651	88	10	computational	computational	ADJ
cana-651	88	11	complexities	complexity	NOUN
cana-651	88	12	[	[	X
cana-651	88	13	4	4	NUM
cana-651	88	14	]	]	PUNCT
cana-651	88	15	.	.	PUNCT
cana-651	89	1	most	most	ADJ
cana-651	89	2	of	of	ADP
cana-651	89	3	the	the	DET
cana-651	89	4	existing	exist	VERB
cana-651	89	5	systems	system	NOUN
cana-651	89	6	were	be	AUX
cana-651	89	7	running	run	VERB
cana-651	89	8	properly	properly	ADV
cana-651	89	9	on	on	ADP
cana-651	89	10	small	small	ADJ
cana-651	89	11	-	-	PUNCT
cana-651	89	12	scale	scale	NOUN
cana-651	89	13	datasets	dataset	NOUN
cana-651	89	14	but	but	CCONJ
cana-651	89	15	eventually	eventually	ADV
cana-651	89	16	,	,	PUNCT
cana-651	89	17	they	they	PRON
cana-651	89	18	were	be	AUX
cana-651	89	19	giving	give	VERB
cana-651	89	20	a	a	DET
cana-651	89	21	high	high	ADJ
cana-651	89	22	percentage	percentage	NOUN
cana-651	89	23	of	of	ADP
cana-651	89	24	false	false	ADJ
cana-651	89	25	negative	negative	ADJ
cana-651	89	26	rate	rate	NOUN
cana-651	89	27	when	when	SCONJ
cana-651	89	28	implemented	implement	VERB
cana-651	89	29	in	in	ADP
cana-651	89	30	real	real	ADJ
cana-651	89	31	-	-	PUNCT
cana-651	89	32	time	time	NOUN
cana-651	89	33	scenarios	scenario	NOUN
cana-651	89	34	[	[	X
cana-651	89	35	12	12	NUM
cana-651	89	36	]	]	PUNCT
cana-651	89	37	.	.	PUNCT
cana-651	90	1	traditional	traditional	ADJ
cana-651	90	2	and	and	CCONJ
cana-651	90	3	existing	exist	VERB
cana-651	90	4	systems	system	NOUN
cana-651	90	5	rely	rely	VERB
cana-651	90	6	on	on	ADP
cana-651	90	7	manual	manual	ADJ
cana-651	90	8	frame	frame	NOUN
cana-651	90	9	extraction	extraction	NOUN
cana-651	90	10	which	which	PRON
cana-651	90	11	has	have	AUX
cana-651	90	12	increased	increase	VERB
cana-651	90	13	the	the	DET
cana-651	90	14	consumption	consumption	NOUN
cana-651	90	15	of	of	ADP
cana-651	90	16	errors	error	NOUN
cana-651	90	17	[	[	X
cana-651	90	18	11	11	NUM
cana-651	90	19	]	]	PUNCT
cana-651	90	20	.	.	PUNCT
cana-651	91	1	other	other	ADJ
cana-651	91	2	proposed	propose	VERB
cana-651	91	3	systems	system	NOUN
cana-651	91	4	in	in	ADP
cana-651	91	5	the	the	DET
cana-651	91	6	past	past	NOUN
cana-651	91	7	had	have	AUX
cana-651	91	8	implemented	implement	VERB
cana-651	91	9	their	their	PRON
cana-651	91	10	models	model	NOUN
cana-651	91	11	by	by	ADP
cana-651	91	12	using	use	VERB
cana-651	91	13	technologies	technology	NOUN
cana-651	91	14	like	like	ADP
cana-651	91	15	cnns	cnn	NOUN
cana-651	91	16	[	[	X
cana-651	91	17	3,5	3,5	NUM
cana-651	91	18	]	]	PUNCT
cana-651	91	19	.	.	PUNCT
cana-651	92	1	some	some	DET
cana-651	92	2	models	model	NOUN
cana-651	92	3	had	have	AUX
cana-651	92	4	been	be	AUX
cana-651	92	5	implemented	implement	VERB
cana-651	92	6	using	use	VERB
cana-651	92	7	resnet50	resnet50	NOUN
cana-651	93	1	[	[	X
cana-651	93	2	10,11	10,11	NOUN
cana-651	93	3	]	]	X
cana-651	93	4	and	and	CCONJ
cana-651	93	5	a	a	DET
cana-651	93	6	few	few	ADJ
cana-651	93	7	models	model	NOUN
cana-651	93	8	were	be	AUX
cana-651	93	9	based	base	VERB
cana-651	93	10	on	on	ADP
cana-651	93	11	rcnn	rcnn	PROPN
cana-651	93	12	architecture	architecture	NOUN
cana-651	93	13	[	[	X
cana-651	93	14	9	9	NUM
cana-651	93	15	]	]	PUNCT
cana-651	93	16	.	.	PUNCT
cana-651	94	1	this	this	DET
cana-651	94	2	proposed	propose	VERB
cana-651	94	3	system	system	NOUN
cana-651	94	4	was	be	AUX
cana-651	94	5	implemented	implement	VERB
cana-651	94	6	on	on	ADP
cana-651	94	7	advanced	advanced	ADJ
cana-651	94	8	cnn	cnn	PROPN
cana-651	94	9	architecture	architecture	NOUN
cana-651	94	10	which	which	PRON
cana-651	94	11	is	be	AUX
cana-651	94	12	mobilenet	mobilenet	NOUN
cana-651	94	13	and	and	CCONJ
cana-651	94	14	bi	bi	ADJ
cana-651	94	15	-	-	ADJ
cana-651	94	16	directional	directional	ADJ
cana-651	94	17	long	long	ADJ
cana-651	94	18	short	short	ADJ
cana-651	94	19	term	term	NOUN
cana-651	94	20	memory	memory	NOUN
cana-651	94	21	(	(	PUNCT
cana-651	94	22	lstm	lstm	NOUN
cana-651	94	23	)	)	PUNCT
cana-651	94	24	.	.	PUNCT
cana-651	95	1	3	3	X
cana-651	95	2	.	.	NUM
cana-651	95	3	proposed	propose	VERB
cana-651	95	4	architecture	architecture	NOUN
cana-651	95	5	existing	exist	VERB
cana-651	95	6	systems	system	NOUN
cana-651	95	7	faced	face	VERB
cana-651	95	8	the	the	DET
cana-651	95	9	problem	problem	NOUN
cana-651	95	10	of	of	ADP
cana-651	95	11	high	high	ADJ
cana-651	95	12	dimensional	dimensional	ADJ
cana-651	95	13	data	datum	NOUN
cana-651	95	14	size	size	NOUN
cana-651	95	15	of	of	ADP
cana-651	95	16	the	the	DET
cana-651	95	17	dataset	dataset	NOUN
cana-651	95	18	containing	contain	VERB
cana-651	95	19	more	more	ADJ
cana-651	95	20	than	than	ADP
cana-651	95	21	1000	1000	NUM
cana-651	95	22	videos	video	NOUN
cana-651	95	23	set	set	VERB
cana-651	95	24	along	along	ADP
cana-651	95	25	with	with	ADP
cana-651	95	26	an	an	DET
cana-651	95	27	overall	overall	ADJ
cana-651	95	28	size	size	NOUN
cana-651	95	29	of	of	ADP
cana-651	95	30	more	more	ADJ
cana-651	95	31	than	than	ADP
cana-651	95	32	60	60	NUM
cana-651	95	33	gb	gb	NOUN
cana-651	95	34	.	.	PUNCT
cana-651	96	1	the	the	DET
cana-651	96	2	problem	problem	NOUN
cana-651	96	3	with	with	ADP
cana-651	96	4	the	the	DET
cana-651	96	5	dataset	dataset	NOUN
cana-651	96	6	was	be	AUX
cana-651	96	7	the	the	DET
cana-651	96	8	videos	video	NOUN
cana-651	96	9	were	be	AUX
cana-651	96	10	of	of	ADP
cana-651	96	11	high	high	ADJ
cana-651	96	12	bitrate	bitrate	NOUN
cana-651	96	13	and	and	CCONJ
cana-651	96	14	high	high	ADJ
cana-651	96	15	dimensional	dimensional	ADJ
cana-651	96	16	along	along	ADP
cana-651	96	17	with	with	ADP
cana-651	96	18	high	high	ADJ
cana-651	96	19	space	space	NOUN
cana-651	96	20	.	.	PUNCT
cana-651	97	1	the	the	DET
cana-651	97	2	proposed	propose	VERB
cana-651	97	3	system	system	NOUN
cana-651	97	4	of	of	ADP
cana-651	97	5	the	the	DET
cana-651	97	6	paper	paper	NOUN
cana-651	97	7	solved	solve	VERB
cana-651	97	8	this	this	DET
cana-651	97	9	problem	problem	NOUN
cana-651	97	10	.	.	PUNCT
cana-651	98	1	the	the	DET
cana-651	98	2	authors	author	NOUN
cana-651	98	3	of	of	ADP
cana-651	98	4	this	this	DET
cana-651	98	5	paper	paper	NOUN
cana-651	98	6	used	use	VERB
cana-651	98	7	adobe	adobe	PROPN
cana-651	98	8	media	medium	NOUN
cana-651	98	9	encoder	encoder	NOUN
cana-651	98	10	2022	2022	NUM
cana-651	98	11	and	and	CCONJ
cana-651	98	12	videolan	videolan	PROPN
cana-651	98	13	client	client	NOUN
cana-651	98	14	2023	2023	NUM
cana-651	98	15	for	for	ADP
cana-651	98	16	compressing	compress	VERB
cana-651	98	17	the	the	DET
cana-651	98	18	video	video	NOUN
cana-651	98	19	set	set	NOUN
cana-651	98	20	.	.	PUNCT
cana-651	99	1	videos	video	NOUN
cana-651	99	2	were	be	AUX
cana-651	99	3	taken	take	VERB
cana-651	99	4	individually	individually	ADV
cana-651	99	5	from	from	ADP
cana-651	99	6	each	each	DET
cana-651	99	7	communications	communication	NOUN
cana-651	99	8	on	on	ADP
cana-651	99	9	applied	apply	VERB
cana-651	99	10	nonlinear	nonlinear	ADJ
cana-651	99	11	analysis	analysis	NOUN
cana-651	99	12	issn	issn	NOUN
cana-651	99	13	:	:	PUNCT
cana-651	99	14	1074	1074	NUM
cana-651	99	15	-	-	PUNCT
cana-651	99	16	133x	133x	NUM
cana-651	99	17	vol	vol	NOUN
cana-651	99	18	31	31	NUM
cana-651	99	19	no	no	NOUN
cana-651	99	20	.	.	PUNCT
cana-651	100	1	2s	2s	NUM
cana-651	100	2	(	(	PUNCT
cana-651	100	3	2024	2024	NUM
cana-651	100	4	)	)	PUNCT
cana-651	100	5	310	310	NUM
cana-651	100	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-651	100	7	class	class	NOUN
cana-651	100	8	.	.	PUNCT
cana-651	101	1	the	the	DET
cana-651	101	2	format	format	NOUN
cana-651	101	3	was	be	AUX
cana-651	101	4	h.264	h.264	ADJ
cana-651	101	5	,	,	PUNCT
cana-651	101	6	and	and	CCONJ
cana-651	101	7	the	the	DET
cana-651	101	8	preset	preset	NOUN
cana-651	101	9	was	be	AUX
cana-651	101	10	match	match	NOUN
cana-651	101	11	source	source	NOUN
cana-651	101	12	–	–	PUNCT
cana-651	101	13	adaptive	adaptive	ADJ
cana-651	101	14	low	low	ADJ
cana-651	101	15	bitrate	bitrate	NOUN
cana-651	101	16	.	.	PUNCT
cana-651	102	1	the	the	DET
cana-651	102	2	renderer	renderer	NOUN
cana-651	102	3	used	use	VERB
cana-651	102	4	was	be	AUX
cana-651	102	5	mercury	mercury	NOUN
cana-651	102	6	playback	playback	NOUN
cana-651	102	7	engine	engine	NOUN
cana-651	102	8	gpu	gpu	NOUN
cana-651	102	9	acceleration	acceleration	NOUN
cana-651	102	10	,	,	PUNCT
cana-651	102	11	which	which	PRON
cana-651	102	12	longs	long	VERB
cana-651	102	13	for	for	ADP
cana-651	102	14	cuda	cuda	NOUN
cana-651	102	15	figure	figure	NOUN
cana-651	102	16	1	1	NUM
cana-651	102	17	:	:	PUNCT
cana-651	102	18	proposed	propose	VERB
cana-651	102	19	system	system	NOUN
cana-651	102	20	flow	flow	NOUN
cana-651	102	21	of	of	ADP
cana-651	102	22	mobilenet	mobilenet	NOUN
cana-651	102	23	with	with	ADP
cana-651	102	24	bi	bi	ADJ
cana-651	102	25	-	-	ADJ
cana-651	102	26	lstm	lstm	ADJ
cana-651	102	27	figure	figure	NOUN
cana-651	102	28	1	1	NUM
cana-651	102	29	illustrates	illustrate	VERB
cana-651	102	30	the	the	DET
cana-651	102	31	proposed	propose	VERB
cana-651	102	32	system	system	NOUN
cana-651	102	33	flow	flow	NOUN
cana-651	102	34	of	of	ADP
cana-651	102	35	the	the	DET
cana-651	102	36	proposed	propose	VERB
cana-651	102	37	system	system	NOUN
cana-651	102	38	.	.	PUNCT
cana-651	103	1	the	the	DET
cana-651	103	2	predefined	predefine	VERB
cana-651	103	3	process	process	NOUN
cana-651	103	4	starts	start	VERB
cana-651	103	5	with	with	ADP
cana-651	103	6	finding	find	VERB
cana-651	103	7	the	the	DET
cana-651	103	8	proper	proper	ADJ
cana-651	103	9	utilized	utilize	VERB
cana-651	103	10	dataset	dataset	NOUN
cana-651	103	11	for	for	ADP
cana-651	103	12	the	the	DET
cana-651	103	13	model	model	NOUN
cana-651	103	14	.	.	PUNCT
cana-651	104	1	below	below	ADV
cana-651	104	2	are	be	AUX
cana-651	104	3	the	the	DET
cana-651	104	4	sequence	sequence	NOUN
cana-651	104	5	-	-	PUNCT
cana-651	104	6	wise	wise	ADJ
cana-651	104	7	proposed	propose	VERB
cana-651	104	8	method	method	NOUN
cana-651	104	9	of	of	ADP
cana-651	104	10	real	real	ADJ
cana-651	104	11	-	-	PUNCT
cana-651	104	12	time	time	NOUN
cana-651	104	13	anomaly	anomaly	NOUN
cana-651	104	14	detection	detection	NOUN
cana-651	104	15	from	from	ADP
cana-651	104	16	video	video	NOUN
cana-651	104	17	surveillance	surveillance	NOUN
cana-651	104	18	using	use	VERB
cana-651	104	19	mobilenet	mobilenet	NOUN
cana-651	104	20	and	and	CCONJ
cana-651	104	21	bi	bi	NOUN
cana-651	104	22	-	-	ADJ
cana-651	104	23	lstm	lstm	ADJ
cana-651	104	24	:	:	PUNCT
cana-651	104	25	1.1	1.1	NUM
cana-651	104	26	.	.	PUNCT
cana-651	104	27	video	video	NOUN
cana-651	104	28	input	input	NOUN
cana-651	104	29	video	video	NOUN
cana-651	104	30	input	input	NOUN
cana-651	104	31	was	be	AUX
cana-651	104	32	the	the	DET
cana-651	104	33	first	first	ADJ
cana-651	104	34	primary	primary	ADJ
cana-651	104	35	step	step	NOUN
cana-651	104	36	of	of	ADP
cana-651	104	37	the	the	DET
cana-651	104	38	overall	overall	ADJ
cana-651	104	39	process	process	NOUN
cana-651	104	40	method	method	NOUN
cana-651	104	41	.	.	PUNCT
cana-651	105	1	the	the	DET
cana-651	105	2	proposed	propose	VERB
cana-651	105	3	model	model	NOUN
cana-651	105	4	was	be	AUX
cana-651	105	5	evaluated	evaluate	VERB
cana-651	105	6	on	on	ADP
cana-651	105	7	mainly	mainly	ADV
cana-651	105	8	three	three	NUM
cana-651	105	9	classes	class	NOUN
cana-651	105	10	as	as	ADP
cana-651	105	11	fighting	fighting	NOUN
cana-651	105	12	,	,	PUNCT
cana-651	105	13	road	road	NOUN
cana-651	105	14	accidents	accident	NOUN
cana-651	105	15	,	,	PUNCT
cana-651	105	16	and	and	CCONJ
cana-651	105	17	explosions	explosion	NOUN
cana-651	105	18	from	from	ADP
cana-651	105	19	the	the	DET
cana-651	105	20	ucf	ucf	PROPN
cana-651	105	21	dataset	dataset	NOUN
cana-651	106	1	[	[	X
cana-651	106	2	14	14	NUM
cana-651	106	3	]	]	PUNCT
cana-651	106	4	.	.	PUNCT
cana-651	107	1	so	so	ADV
cana-651	107	2	video	video	NOUN
cana-651	107	3	was	be	AUX
cana-651	107	4	categorized	categorize	VERB
cana-651	107	5	according	accord	VERB
cana-651	107	6	to	to	ADP
cana-651	107	7	the	the	DET
cana-651	107	8	type	type	NOUN
cana-651	107	9	of	of	ADP
cana-651	107	10	anomaly	anomaly	NOUN
cana-651	107	11	detected	detect	VERB
cana-651	107	12	from	from	ADP
cana-651	107	13	its	its	PRON
cana-651	107	14	anomaly	anomaly	NOUN
cana-651	107	15	behavior	behavior	NOUN
cana-651	107	16	by	by	ADP
cana-651	107	17	the	the	DET
cana-651	107	18	system	system	NOUN
cana-651	107	19	.	.	PUNCT
cana-651	108	1	1.2	1.2	NUM
cana-651	108	2	.	.	PUNCT
cana-651	108	3	video	video	NOUN
cana-651	108	4	frames	frame	NOUN
cana-651	108	5	extraction	extraction	NOUN
cana-651	108	6	extraction	extraction	NOUN
cana-651	108	7	of	of	ADP
cana-651	108	8	video	video	NOUN
cana-651	108	9	frames	frame	NOUN
cana-651	108	10	for	for	ADP
cana-651	108	11	each	each	DET
cana-651	108	12	individual	individual	NOUN
cana-651	108	13	was	be	AUX
cana-651	108	14	carried	carry	VERB
cana-651	108	15	out	out	ADP
cana-651	108	16	in	in	ADP
cana-651	108	17	the	the	DET
cana-651	108	18	second	second	ADJ
cana-651	108	19	step	step	NOUN
cana-651	108	20	of	of	ADP
cana-651	108	21	the	the	DET
cana-651	108	22	proposed	propose	VERB
cana-651	108	23	method	method	NOUN
cana-651	108	24	.	.	PUNCT
cana-651	109	1	the	the	DET
cana-651	109	2	proposed	propose	VERB
cana-651	109	3	system	system	NOUN
cana-651	109	4	was	be	AUX
cana-651	109	5	totally	totally	ADV
cana-651	109	6	based	base	VERB
cana-651	109	7	on	on	ADP
cana-651	109	8	the	the	DET
cana-651	109	9	latest	late	ADJ
cana-651	109	10	and	and	CCONJ
cana-651	109	11	advanced	advanced	ADJ
cana-651	109	12	deep	deep	ADJ
cana-651	109	13	learning	learning	NOUN
cana-651	109	14	techniques	technique	NOUN
cana-651	109	15	such	such	ADJ
cana-651	109	16	as	as	ADP
cana-651	109	17	mobilenet	mobilenet	NOUN
cana-651	109	18	which	which	PRON
cana-651	109	19	is	be	AUX
cana-651	109	20	advanced	advanced	ADJ
cana-651	109	21	cnns	cnns	ADJ
cana-651	109	22	architecture	architecture	NOUN
cana-651	109	23	and	and	CCONJ
cana-651	109	24	bi	bi	ADJ
cana-651	109	25	-	-	ADJ
cana-651	109	26	lstm(bidirectional	lstm(bidirectional	ADJ
cana-651	109	27	long	long	ADJ
cana-651	109	28	shortterm	shortterm	NOUN
cana-651	109	29	memory	memory	NOUN
cana-651	109	30	)	)	PUNCT
cana-651	109	31	.	.	PUNCT
cana-651	110	1	number	number	NOUN
cana-651	110	2	of	of	ADP
cana-651	110	3	the	the	DET
cana-651	110	4	keyframes	keyframe	NOUN
cana-651	110	5	per	per	ADP
cana-651	110	6	video	video	NOUN
cana-651	110	7	depends	depend	VERB
cana-651	110	8	on	on	ADP
cana-651	110	9	the	the	DET
cana-651	110	10	overall	overall	ADJ
cana-651	110	11	size	size	NOUN
cana-651	110	12	of	of	ADP
cana-651	110	13	the	the	DET
cana-651	110	14	video	video	NOUN
cana-651	110	15	capacity	capacity	NOUN
cana-651	110	16	and	and	CCONJ
cana-651	110	17	its	its	PRON
cana-651	110	18	intensity	intensity	NOUN
cana-651	110	19	along	along	ADP
cana-651	110	20	with	with	ADP
cana-651	110	21	the	the	DET
cana-651	110	22	parameters	parameter	NOUN
cana-651	110	23	included	include	VERB
cana-651	110	24	in	in	ADP
cana-651	110	25	the	the	DET
cana-651	110	26	video	video	NOUN
cana-651	110	27	.	.	PUNCT
cana-651	111	1	the	the	DET
cana-651	111	2	size	size	NOUN
cana-651	111	3	of	of	ADP
cana-651	111	4	the	the	DET
cana-651	111	5	keyframes	keyframe	NOUN
cana-651	111	6	also	also	ADV
cana-651	111	7	depends	depend	VERB
cana-651	111	8	on	on	ADP
cana-651	111	9	the	the	DET
cana-651	111	10	video	video	NOUN
cana-651	111	11	as	as	ADP
cana-651	111	12	more	more	ADV
cana-651	111	13	the	the	DET
cana-651	111	14	size	size	NOUN
cana-651	111	15	of	of	ADP
cana-651	111	16	the	the	DET
cana-651	111	17	video	video	NOUN
cana-651	111	18	,	,	PUNCT
cana-651	111	19	the	the	DET
cana-651	111	20	more	more	ADJ
cana-651	111	21	will	will	AUX
cana-651	111	22	be	be	AUX
cana-651	111	23	the	the	DET
cana-651	111	24	size	size	NOUN
cana-651	111	25	of	of	ADP
cana-651	111	26	the	the	DET
cana-651	111	27	keyframes	keyframe	NOUN
cana-651	111	28	.	.	PUNCT
cana-651	112	1	1.3	1.3	NUM
cana-651	112	2	.	.	PUNCT
cana-651	112	3	video	video	NOUN
cana-651	112	4	preprocessing	preprocessing	NOUN
cana-651	112	5	video	video	NOUN
cana-651	112	6	preprocessing	preprocessing	NOUN
cana-651	112	7	was	be	AUX
cana-651	112	8	primarily	primarily	ADV
cana-651	112	9	focused	focus	VERB
cana-651	112	10	on	on	ADP
cana-651	112	11	the	the	DET
cana-651	112	12	removal	removal	NOUN
cana-651	112	13	of	of	ADP
cana-651	112	14	any	any	DET
cana-651	112	15	unwanted	unwanted	ADJ
cana-651	112	16	objects	object	NOUN
cana-651	112	17	and	and	CCONJ
cana-651	112	18	trimming	trimming	NOUN
cana-651	112	19	of	of	ADP
cana-651	112	20	the	the	DET
cana-651	112	21	unwanted	unwanted	ADJ
cana-651	112	22	clip	clip	NOUN
cana-651	112	23	which	which	PRON
cana-651	112	24	was	be	AUX
cana-651	112	25	taking	take	VERB
cana-651	112	26	unusual	unusual	ADJ
cana-651	112	27	and	and	CCONJ
cana-651	112	28	unwanted	unwanted	ADJ
cana-651	112	29	space	space	NOUN
cana-651	112	30	in	in	ADP
cana-651	112	31	the	the	DET
cana-651	112	32	algorithm	algorithm	NOUN
cana-651	112	33	.	.	PUNCT
cana-651	113	1	the	the	DET
cana-651	113	2	author	author	NOUN
cana-651	113	3	of	of	ADP
cana-651	113	4	this	this	DET
cana-651	113	5	paper	paper	NOUN
cana-651	113	6	used	use	VERB
cana-651	113	7	sequence	sequence	NOUN
cana-651	113	8	length	length	NOUN
cana-651	113	9	as	as	ADP
cana-651	113	10	a	a	DET
cana-651	113	11	parameter	parameter	NOUN
cana-651	113	12	that	that	PRON
cana-651	113	13	skips	skip	VERB
cana-651	113	14	every	every	DET
cana-651	113	15	other	other	ADJ
cana-651	113	16	frame	frame	NOUN
cana-651	113	17	and	and	CCONJ
cana-651	113	18	holds	hold	VERB
cana-651	113	19	the	the	DET
cana-651	113	20	16th	16th	ADJ
cana-651	113	21	frame	frame	NOUN
cana-651	113	22	subsequently	subsequently	ADV
cana-651	113	23	in	in	ADP
cana-651	113	24	the	the	DET
cana-651	113	25	algorithm	algorithm	NOUN
cana-651	113	26	.	.	PUNCT
cana-651	114	1	communications	communication	NOUN
cana-651	114	2	on	on	ADP
cana-651	114	3	applied	apply	VERB
cana-651	114	4	nonlinear	nonlinear	ADJ
cana-651	114	5	analysis	analysis	NOUN
cana-651	114	6	issn	issn	NOUN
cana-651	114	7	:	:	PUNCT
cana-651	114	8	1074	1074	NUM
cana-651	114	9	-	-	PUNCT
cana-651	114	10	133x	133x	NUM
cana-651	114	11	vol	vol	NOUN
cana-651	114	12	31	31	NUM
cana-651	114	13	no	no	NOUN
cana-651	114	14	.	.	PUNCT
cana-651	115	1	2s	2s	NUM
cana-651	115	2	(	(	PUNCT
cana-651	115	3	2024	2024	NUM
cana-651	115	4	)	)	PUNCT
cana-651	115	5	311	311	NUM
cana-651	115	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-651	115	7	1.4	1.4	NUM
cana-651	115	8	.	.	PUNCT
cana-651	116	1	hot	hot	ADJ
cana-651	116	2	encoding	encoding	NOUN
cana-651	116	3	transformation	transformation	NOUN
cana-651	116	4	the	the	DET
cana-651	116	5	primary	primary	ADJ
cana-651	116	6	data	datum	NOUN
cana-651	116	7	in	in	ADP
cana-651	116	8	the	the	DET
cana-651	116	9	dataset	dataset	NOUN
cana-651	116	10	was	be	AUX
cana-651	116	11	present	present	ADJ
cana-651	116	12	in	in	ADP
cana-651	116	13	the	the	DET
cana-651	116	14	form	form	NOUN
cana-651	116	15	of	of	ADP
cana-651	116	16	categorical	categorical	ADJ
cana-651	116	17	data	datum	NOUN
cana-651	116	18	.	.	PUNCT
cana-651	117	1	categorical	categorical	ADJ
cana-651	117	2	data	datum	NOUN
cana-651	117	3	was	be	AUX
cana-651	117	4	used	use	VERB
cana-651	117	5	to	to	PART
cana-651	117	6	gather	gather	VERB
cana-651	117	7	all	all	DET
cana-651	117	8	the	the	DET
cana-651	117	9	same	same	ADJ
cana-651	117	10	substantial	substantial	ADJ
cana-651	117	11	feature	feature	NOUN
cana-651	117	12	patterns	pattern	NOUN
cana-651	117	13	from	from	ADP
cana-651	117	14	all	all	DET
cana-651	117	15	the	the	DET
cana-651	117	16	keyframes	keyframe	NOUN
cana-651	117	17	extracted	extract	VERB
cana-651	117	18	from	from	ADP
cana-651	117	19	the	the	DET
cana-651	117	20	video	video	NOUN
cana-651	117	21	.	.	PUNCT
cana-651	118	1	after	after	ADP
cana-651	118	2	the	the	DET
cana-651	118	3	segregation	segregation	NOUN
cana-651	118	4	of	of	ADP
cana-651	118	5	categorical	categorical	ADJ
cana-651	118	6	data	datum	NOUN
cana-651	118	7	,	,	PUNCT
cana-651	118	8	it	it	PRON
cana-651	118	9	was	be	AUX
cana-651	118	10	converted	convert	VERB
cana-651	118	11	into	into	ADP
cana-651	118	12	numerical	numerical	ADJ
cana-651	118	13	data	datum	NOUN
cana-651	118	14	with	with	ADP
cana-651	118	15	the	the	DET
cana-651	118	16	help	help	NOUN
cana-651	118	17	of	of	ADP
cana-651	118	18	hot	hot	ADJ
cana-651	118	19	encoding	encoding	NOUN
cana-651	118	20	.	.	PUNCT
cana-651	119	1	all	all	DET
cana-651	119	2	the	the	DET
cana-651	119	3	categorical	categorical	ADJ
cana-651	119	4	values	value	NOUN
cana-651	119	5	were	be	AUX
cana-651	119	6	then	then	ADV
cana-651	119	7	converted	convert	VERB
cana-651	119	8	into	into	ADP
cana-651	119	9	numerical	numerical	ADJ
cana-651	119	10	data	datum	NOUN
cana-651	119	11	in	in	ADP
cana-651	119	12	the	the	DET
cana-651	119	13	algorithm	algorithm	NOUN
cana-651	119	14	.	.	PUNCT
cana-651	120	1	1.5	1.5	NUM
cana-651	120	2	.	.	PUNCT
cana-651	121	1	classification	classification	NOUN
cana-651	121	2	using	use	VERB
cana-651	121	3	mobilenet	mobilenet	NOUN
cana-651	121	4	the	the	DET
cana-651	121	5	main	main	ADJ
cana-651	121	6	part	part	NOUN
cana-651	121	7	of	of	ADP
cana-651	121	8	the	the	DET
cana-651	121	9	system	system	NOUN
cana-651	121	10	was	be	AUX
cana-651	121	11	classification	classification	NOUN
cana-651	121	12	using	use	VERB
cana-651	121	13	mobilenet	mobilenet	NOUN
cana-651	121	14	.	.	PUNCT
cana-651	122	1	here	here	ADV
cana-651	122	2	,	,	PUNCT
cana-651	122	3	the	the	DET
cana-651	122	4	author	author	NOUN
cana-651	122	5	of	of	ADP
cana-651	122	6	this	this	DET
cana-651	122	7	paper	paper	NOUN
cana-651	122	8	used	use	VERB
cana-651	122	9	depth	depth	NOUN
cana-651	122	10	-	-	PUNCT
cana-651	122	11	wise	wise	ADJ
cana-651	122	12	convolution	convolution	NOUN
cana-651	122	13	and	and	CCONJ
cana-651	122	14	point	point	NOUN
cana-651	122	15	-	-	PUNCT
cana-651	122	16	wise	wise	ADJ
cana-651	122	17	convolution	convolution	NOUN
cana-651	122	18	of	of	ADP
cana-651	122	19	mobilenet	mobilenet	NOUN
cana-651	122	20	for	for	ADP
cana-651	122	21	the	the	DET
cana-651	122	22	classification	classification	NOUN
cana-651	122	23	of	of	ADP
cana-651	122	24	feature	feature	NOUN
cana-651	122	25	patterns	pattern	NOUN
cana-651	122	26	instead	instead	ADV
cana-651	122	27	of	of	ADP
cana-651	122	28	normal	normal	ADJ
cana-651	122	29	convolution	convolution	NOUN
cana-651	122	30	.	.	PUNCT
cana-651	123	1	normal	normal	ADJ
cana-651	123	2	convolution	convolution	NOUN
cana-651	123	3	works	work	VERB
cana-651	123	4	only	only	ADV
cana-651	123	5	standalone	standalone	ADJ
cana-651	123	6	but	but	CCONJ
cana-651	123	7	the	the	DET
cana-651	123	8	novelty	novelty	NOUN
cana-651	123	9	of	of	ADP
cana-651	123	10	mobilenet	mobilenet	NOUN
cana-651	123	11	architecture	architecture	NOUN
cana-651	123	12	is	be	AUX
cana-651	123	13	their	their	PRON
cana-651	123	14	depth	depth	NOUN
cana-651	123	15	-	-	PUNCT
cana-651	123	16	wise	wise	ADJ
cana-651	123	17	convolution	convolution	NOUN
cana-651	123	18	and	and	CCONJ
cana-651	123	19	point	point	NOUN
cana-651	123	20	-	-	PUNCT
cana-651	123	21	wise	wise	ADJ
cana-651	123	22	convolution	convolution	NOUN
cana-651	123	23	that	that	PRON
cana-651	123	24	seggregates	seggregate	VERB
cana-651	123	25	all	all	DET
cana-651	123	26	the	the	DET
cana-651	123	27	input	input	NOUN
cana-651	123	28	form	form	NOUN
cana-651	123	29	depth	depth	NOUN
cana-651	123	30	-	-	PUNCT
cana-651	123	31	wise	wise	ADJ
cana-651	123	32	by	by	ADP
cana-651	123	33	sequentially	sequentially	ADV
cana-651	123	34	going	go	VERB
cana-651	123	35	at	at	ADP
cana-651	123	36	each	each	DET
cana-651	123	37	channel	channel	NOUN
cana-651	123	38	individually	individually	ADV
cana-651	123	39	.	.	PUNCT
cana-651	124	1	1.6	1.6	NUM
cana-651	124	2	.	.	PUNCT
cana-651	125	1	sequence	sequence	NOUN
cana-651	125	2	formation	formation	NOUN
cana-651	125	3	sequence	sequence	NOUN
cana-651	125	4	length	length	NOUN
cana-651	125	5	is	be	AUX
cana-651	125	6	the	the	DET
cana-651	125	7	total	total	ADJ
cana-651	125	8	count	count	NOUN
cana-651	125	9	per	per	ADP
cana-651	125	10	step	step	NOUN
cana-651	125	11	which	which	PRON
cana-651	125	12	will	will	AUX
cana-651	125	13	directed	direct	VERB
cana-651	125	14	to	to	ADP
cana-651	125	15	the	the	DET
cana-651	125	16	bidirectional	bidirectional	ADJ
cana-651	125	17	lstm	lstm	NOUN
cana-651	125	18	network	network	NOUN
cana-651	125	19	.	.	PUNCT
cana-651	126	1	if	if	SCONJ
cana-651	126	2	we	we	PRON
cana-651	126	3	have	have	VERB
cana-651	126	4	any	any	DET
cana-651	126	5	word	word	NOUN
cana-651	126	6	embeddings	embedding	NOUN
cana-651	126	7	then	then	ADV
cana-651	126	8	we	we	PRON
cana-651	126	9	ca	can	AUX
cana-651	126	10	n’t	not	PART
cana-651	126	11	directly	directly	ADV
cana-651	126	12	direct	direct	VERB
cana-651	126	13	those	those	DET
cana-651	126	14	embeddings	embedding	NOUN
cana-651	126	15	into	into	ADP
cana-651	126	16	bilstm	bilstm	NOUN
cana-651	126	17	.	.	PUNCT
cana-651	127	1	for	for	ADP
cana-651	127	2	conversion	conversion	NOUN
cana-651	127	3	of	of	ADP
cana-651	127	4	word	word	NOUN
cana-651	127	5	to	to	ADP
cana-651	127	6	number	number	NOUN
cana-651	127	7	embeddings	embedding	NOUN
cana-651	127	8	,	,	PUNCT
cana-651	127	9	encoding	encode	VERB
cana-651	127	10	the	the	DET
cana-651	127	11	word	word	NOUN
cana-651	127	12	embedding	embed	VERB
cana-651	127	13	is	be	AUX
cana-651	127	14	a	a	DET
cana-651	127	15	must	must	NOUN
cana-651	127	16	and	and	CCONJ
cana-651	127	17	that	that	PRON
cana-651	127	18	’s	’	VERB
cana-651	127	19	where	where	SCONJ
cana-651	127	20	sequence	sequence	NOUN
cana-651	127	21	length	length	NOUN
cana-651	127	22	is	be	AUX
cana-651	127	23	primarily	primarily	ADV
cana-651	127	24	used	use	VERB
cana-651	127	25	.	.	PUNCT
cana-651	128	1	bi	bi	ADJ
cana-651	128	2	-	-	ADJ
cana-651	128	3	directional	directional	ADJ
cana-651	128	4	lstm	lstm	NOUN
cana-651	128	5	requires	require	VERB
cana-651	128	6	the	the	DET
cana-651	128	7	required	require	VERB
cana-651	128	8	number	number	NOUN
cana-651	128	9	of	of	ADP
cana-651	128	10	sequence	sequence	NOUN
cana-651	128	11	input	input	NOUN
cana-651	128	12	of	of	ADP
cana-651	128	13	time	time	NOUN
cana-651	128	14	steps	step	NOUN
cana-651	128	15	.	.	PUNCT
cana-651	129	1	it	it	PRON
cana-651	129	2	will	will	AUX
cana-651	129	3	processed	process	VERB
cana-651	129	4	further	far	ADV
cana-651	129	5	into	into	ADP
cana-651	129	6	the	the	DET
cana-651	129	7	parser	parser	NOUN
cana-651	129	8	and	and	CCONJ
cana-651	129	9	then	then	ADV
cana-651	129	10	it	it	PRON
cana-651	129	11	will	will	AUX
cana-651	129	12	diverge	diverge	VERB
cana-651	129	13	into	into	ADP
cana-651	129	14	three	three	NUM
cana-651	129	15	defined	define	VERB
cana-651	129	16	classes	class	NOUN
cana-651	129	17	.	.	PUNCT
cana-651	130	1	the	the	DET
cana-651	130	2	author	author	NOUN
cana-651	130	3	of	of	ADP
cana-651	130	4	this	this	DET
cana-651	130	5	paper	paper	NOUN
cana-651	130	6	used	use	VERB
cana-651	130	7	sequence	sequence	NOUN
cana-651	130	8	length	length	NOUN
cana-651	130	9	as	as	ADP
cana-651	130	10	a	a	DET
cana-651	130	11	parameter	parameter	NOUN
cana-651	130	12	that	that	PRON
cana-651	130	13	skips	skip	VERB
cana-651	130	14	every	every	DET
cana-651	130	15	other	other	ADJ
cana-651	130	16	frame	frame	NOUN
cana-651	130	17	and	and	CCONJ
cana-651	130	18	holds	hold	VERB
cana-651	130	19	the	the	DET
cana-651	130	20	16th	16th	ADJ
cana-651	130	21	frame	frame	NOUN
cana-651	130	22	subsequently	subsequently	ADV
cana-651	130	23	in	in	ADP
cana-651	130	24	the	the	DET
cana-651	130	25	algorithm	algorithm	NOUN
cana-651	130	26	.	.	PUNCT
cana-651	131	1	1.7	1.7	NUM
cana-651	131	2	.	.	PUNCT
cana-651	132	1	temporal	temporal	ADJ
cana-651	132	2	modeling	modeling	NOUN
cana-651	132	3	by	by	ADP
cana-651	132	4	bi	bi	ADJ
cana-651	132	5	-	-	ADJ
cana-651	132	6	lstm	lstm	ADJ
cana-651	132	7	temporal	temporal	ADJ
cana-651	132	8	modeling	modeling	NOUN
cana-651	132	9	in	in	ADP
cana-651	132	10	deep	deep	ADJ
cana-651	132	11	learning	learning	NOUN
cana-651	132	12	primarily	primarily	ADV
cana-651	132	13	focuses	focus	VERB
cana-651	132	14	on	on	ADP
cana-651	132	15	the	the	DET
cana-651	132	16	data	datum	NOUN
cana-651	132	17	that	that	PRON
cana-651	132	18	consistently	consistently	ADV
cana-651	132	19	varies	vary	VERB
cana-651	132	20	over	over	ADP
cana-651	132	21	time	time	NOUN
cana-651	132	22	period	period	NOUN
cana-651	132	23	.	.	PUNCT
cana-651	133	1	temporal	temporal	ADJ
cana-651	133	2	modeling	modeling	NOUN
cana-651	133	3	was	be	AUX
cana-651	133	4	attached	attach	VERB
cana-651	133	5	with	with	ADP
cana-651	133	6	every	every	DET
cana-651	133	7	video	video	NOUN
cana-651	133	8	input	input	NOUN
cana-651	133	9	on	on	ADP
cana-651	133	10	their	their	PRON
cana-651	133	11	video	video	NOUN
cana-651	133	12	keyframes	keyframe	NOUN
cana-651	133	13	which	which	PRON
cana-651	133	14	were	be	AUX
cana-651	133	15	varying	vary	VERB
cana-651	133	16	over	over	ADP
cana-651	133	17	the	the	DET
cana-651	133	18	video	video	NOUN
cana-651	133	19	duration	duration	NOUN
cana-651	133	20	in	in	ADP
cana-651	133	21	the	the	DET
cana-651	133	22	form	form	NOUN
cana-651	133	23	of	of	ADP
cana-651	133	24	seconds	second	NOUN
cana-651	133	25	.	.	PUNCT
cana-651	134	1	recurrent	recurrent	ADJ
cana-651	134	2	neural	neural	ADJ
cana-651	134	3	networks	network	NOUN
cana-651	134	4	geanerally	geanerally	ADV
cana-651	134	5	used	use	VERB
cana-651	134	6	for	for	ADP
cana-651	134	7	remembering	remember	VERB
cana-651	134	8	the	the	DET
cana-651	134	9	past	past	ADJ
cana-651	134	10	consequences	consequence	NOUN
cana-651	134	11	pattern	pattern	NOUN
cana-651	134	12	.	.	PUNCT
cana-651	135	1	but	but	CCONJ
cana-651	135	2	if	if	SCONJ
cana-651	135	3	the	the	DET
cana-651	135	4	pattern	pattern	NOUN
cana-651	135	5	consequences	consequence	NOUN
cana-651	135	6	are	be	AUX
cana-651	135	7	large	large	ADJ
cana-651	135	8	and	and	CCONJ
cana-651	135	9	time	time	NOUN
cana-651	135	10	-	-	PUNCT
cana-651	135	11	taking	taking	NOUN
cana-651	135	12	then	then	ADV
cana-651	135	13	bidirectional	bidirectional	ADJ
cana-651	135	14	long	long	ADJ
cana-651	135	15	short	short	ADJ
cana-651	135	16	term	term	NOUN
cana-651	135	17	memory	memory	NOUN
cana-651	135	18	is	be	AUX
cana-651	135	19	the	the	DET
cana-651	135	20	recommended	recommend	VERB
cana-651	135	21	option	option	NOUN
cana-651	135	22	and	and	CCONJ
cana-651	135	23	the	the	DET
cana-651	135	24	author	author	NOUN
cana-651	135	25	of	of	ADP
cana-651	135	26	this	this	DET
cana-651	135	27	paper	paper	NOUN
cana-651	135	28	used	use	VERB
cana-651	135	29	the	the	DET
cana-651	135	30	same	same	ADJ
cana-651	135	31	.	.	PUNCT
cana-651	136	1	1.8	1.8	NUM
cana-651	136	2	.	.	PUNCT
cana-651	137	1	deployment	deployment	NOUN
cana-651	137	2	of	of	ADP
cana-651	137	3	the	the	DET
cana-651	137	4	detection	detection	NOUN
cana-651	137	5	system	system	NOUN
cana-651	137	6	in	in	ADP
cana-651	137	7	real	real	ADJ
cana-651	137	8	-	-	PUNCT
cana-651	137	9	time	time	NOUN
cana-651	137	10	the	the	DET
cana-651	137	11	final	final	ADJ
cana-651	137	12	step	step	NOUN
cana-651	137	13	of	of	ADP
cana-651	137	14	the	the	DET
cana-651	137	15	model	model	NOUN
cana-651	137	16	was	be	AUX
cana-651	137	17	to	to	PART
cana-651	137	18	deploy	deploy	VERB
cana-651	137	19	the	the	DET
cana-651	137	20	anomaly	anomaly	NOUN
cana-651	137	21	detection	detection	NOUN
cana-651	137	22	system	system	NOUN
cana-651	137	23	from	from	ADP
cana-651	137	24	video	video	NOUN
cana-651	137	25	surveillance	surveillance	NOUN
cana-651	137	26	in	in	ADP
cana-651	137	27	real	real	ADJ
cana-651	137	28	-	-	PUNCT
cana-651	137	29	time	time	NOUN
cana-651	137	30	with	with	ADP
cana-651	137	31	the	the	DET
cana-651	137	32	input	input	NOUN
cana-651	137	33	format	format	NOUN
cana-651	137	34	as	as	ADP
cana-651	137	35	video	video	NOUN
cana-651	137	36	surveillance	surveillance	NOUN
cana-651	137	37	which	which	PRON
cana-651	137	38	can	can	AUX
cana-651	137	39	constantly	constantly	ADV
cana-651	137	40	give	give	VERB
cana-651	137	41	input	input	NOUN
cana-651	137	42	for	for	ADP
cana-651	137	43	detection	detection	NOUN
cana-651	137	44	of	of	ADP
cana-651	137	45	any	any	DET
cana-651	137	46	anomaly	anomaly	NOUN
cana-651	137	47	behavior	behavior	NOUN
cana-651	137	48	from	from	ADP
cana-651	137	49	the	the	DET
cana-651	137	50	live	live	ADJ
cana-651	137	51	footage	footage	NOUN
cana-651	137	52	.	.	PUNCT
cana-651	138	1	the	the	DET
cana-651	138	2	main	main	ADJ
cana-651	138	3	deployment	deployment	NOUN
cana-651	138	4	software	software	NOUN
cana-651	138	5	used	use	VERB
cana-651	138	6	for	for	ADP
cana-651	138	7	the	the	DET
cana-651	138	8	system	system	NOUN
cana-651	138	9	was	be	AUX
cana-651	138	10	google	google	PROPN
cana-651	138	11	colab	colab	PROPN
cana-651	138	12	.	.	PUNCT
cana-651	139	1	communications	communication	NOUN
cana-651	139	2	on	on	ADP
cana-651	139	3	applied	apply	VERB
cana-651	139	4	nonlinear	nonlinear	ADJ
cana-651	139	5	analysis	analysis	NOUN
cana-651	139	6	issn	issn	NOUN
cana-651	139	7	:	:	PUNCT
cana-651	139	8	1074	1074	NUM
cana-651	139	9	-	-	PUNCT
cana-651	139	10	133x	133x	NUM
cana-651	139	11	vol	vol	NOUN
cana-651	139	12	31	31	NUM
cana-651	139	13	no	no	NOUN
cana-651	139	14	.	.	PUNCT
cana-651	140	1	2s	2s	NUM
cana-651	140	2	(	(	PUNCT
cana-651	140	3	2024	2024	NUM
cana-651	140	4	)	)	PUNCT
cana-651	140	5	312	312	NUM
cana-651	140	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-651	140	7	figure	figure	NOUN
cana-651	140	8	2	2	NUM
cana-651	140	9	:	:	PUNCT
cana-651	140	10	module	module	NOUN
cana-651	140	11	-	-	PUNCT
cana-651	140	12	wise	wise	ADJ
cana-651	140	13	flow	flow	NOUN
cana-651	140	14	of	of	ADP
cana-651	140	15	mobilenet	mobilenet	NOUN
cana-651	140	16	and	and	CCONJ
cana-651	140	17	bi	bi	NOUN
cana-651	140	18	-	-	ADJ
cana-651	140	19	lstm	lstm	ADJ
cana-651	140	20	the	the	DET
cana-651	140	21	module	module	NOUN
cana-651	140	22	-	-	PUNCT
cana-651	140	23	wise	wise	ADJ
cana-651	140	24	flow	flow	NOUN
cana-651	140	25	in	in	ADP
cana-651	140	26	figure	figure	NOUN
cana-651	140	27	2	2	NUM
cana-651	140	28	of	of	ADP
cana-651	140	29	the	the	DET
cana-651	140	30	proposed	propose	VERB
cana-651	140	31	model	model	NOUN
cana-651	140	32	contains	contain	VERB
cana-651	140	33	four	four	NUM
cana-651	140	34	major	major	ADJ
cana-651	140	35	premises	premise	NOUN
cana-651	140	36	such	such	ADJ
cana-651	140	37	as	as	ADP
cana-651	140	38	segregation	segregation	NOUN
cana-651	140	39	and	and	CCONJ
cana-651	140	40	augmentation	augmentation	NOUN
cana-651	140	41	of	of	ADP
cana-651	140	42	dataset	dataset	NOUN
cana-651	140	43	,	,	PUNCT
cana-651	140	44	sequence	sequence	NOUN
cana-651	140	45	length	length	NOUN
cana-651	140	46	and	and	CCONJ
cana-651	140	47	input	input	NOUN
cana-651	140	48	dimension	dimension	NOUN
cana-651	140	49	,	,	PUNCT
cana-651	140	50	frame	frame	NOUN
cana-651	140	51	parser	parser	NOUN
cana-651	140	52	,	,	PUNCT
cana-651	140	53	and	and	CCONJ
cana-651	140	54	prediction	prediction	NOUN
cana-651	140	55	of	of	ADP
cana-651	140	56	anomaly	anomaly	NOUN
cana-651	140	57	.	.	PUNCT
cana-651	141	1	all	all	DET
cana-651	141	2	the	the	DET
cana-651	141	3	sections	section	NOUN
cana-651	141	4	are	be	AUX
cana-651	141	5	described	describe	VERB
cana-651	141	6	below	below	ADP
cana-651	141	7	sequentially	sequentially	ADV
cana-651	141	8	:	:	PUNCT
cana-651	141	9	2.1	2.1	NUM
cana-651	141	10	.	.	PUNCT
cana-651	141	11	segregation	segregation	NOUN
cana-651	141	12	and	and	CCONJ
cana-651	141	13	augmentation	augmentation	NOUN
cana-651	141	14	of	of	ADP
cana-651	141	15	dataset	dataset	ADJ
cana-651	141	16	ucf	ucf	PROPN
cana-651	141	17	dataset	dataset	NOUN
cana-651	141	18	was	be	AUX
cana-651	141	19	taken	take	VERB
cana-651	141	20	for	for	ADP
cana-651	141	21	the	the	DET
cana-651	141	22	evaluation	evaluation	NOUN
cana-651	141	23	and	and	CCONJ
cana-651	141	24	training	training	NOUN
cana-651	141	25	of	of	ADP
cana-651	141	26	the	the	DET
cana-651	141	27	proposed	propose	VERB
cana-651	141	28	model	model	NOUN
cana-651	141	29	.	.	PUNCT
cana-651	142	1	the	the	DET
cana-651	142	2	three	three	NUM
cana-651	142	3	classes	class	NOUN
cana-651	142	4	taken	take	VERB
cana-651	142	5	for	for	ADP
cana-651	142	6	the	the	DET
cana-651	142	7	proposed	propose	VERB
cana-651	142	8	model	model	NOUN
cana-651	142	9	were	be	AUX
cana-651	142	10	fighting	fight	VERB
cana-651	142	11	,	,	PUNCT
cana-651	142	12	road	road	NOUN
cana-651	142	13	accidents	accident	NOUN
cana-651	142	14	,	,	PUNCT
cana-651	142	15	and	and	CCONJ
cana-651	142	16	explosions	explosion	NOUN
cana-651	142	17	.	.	PUNCT
cana-651	143	1	the	the	DET
cana-651	143	2	proposed	propose	VERB
cana-651	143	3	model	model	NOUN
cana-651	143	4	will	will	AUX
cana-651	143	5	also	also	ADV
cana-651	143	6	identify	identify	VERB
cana-651	143	7	normal	normal	ADJ
cana-651	143	8	or	or	CCONJ
cana-651	143	9	abnormal	abnormal	ADJ
cana-651	143	10	behavior	behavior	NOUN
cana-651	143	11	of	of	ADP
cana-651	143	12	the	the	DET
cana-651	143	13	video	video	NOUN
cana-651	143	14	input	input	NOUN
cana-651	143	15	.	.	PUNCT
cana-651	144	1	for	for	ADP
cana-651	144	2	considering	consider	VERB
cana-651	144	3	all	all	DET
cana-651	144	4	the	the	DET
cana-651	144	5	aspects	aspect	NOUN
cana-651	144	6	and	and	CCONJ
cana-651	144	7	possibilities	possibility	NOUN
cana-651	144	8	of	of	ADP
cana-651	144	9	anomaly	anomaly	NOUN
cana-651	144	10	,	,	PUNCT
cana-651	144	11	augmentation	augmentation	NOUN
cana-651	144	12	was	be	AUX
cana-651	144	13	been	be	AUX
cana-651	144	14	performed	perform	VERB
cana-651	144	15	on	on	ADP
cana-651	144	16	the	the	DET
cana-651	144	17	whole	whole	ADJ
cana-651	144	18	dataset	dataset	NOUN
cana-651	144	19	of	of	ADP
cana-651	144	20	all	all	DET
cana-651	144	21	three	three	NUM
cana-651	144	22	classes	class	NOUN
cana-651	144	23	.	.	PUNCT
cana-651	145	1	the	the	DET
cana-651	145	2	total	total	ADJ
cana-651	145	3	count	count	NOUN
cana-651	145	4	of	of	ADP
cana-651	145	5	processed	process	VERB
cana-651	145	6	videos	video	NOUN
cana-651	145	7	of	of	ADP
cana-651	145	8	the	the	DET
cana-651	145	9	whole	whole	ADJ
cana-651	145	10	dataset	dataset	NOUN
cana-651	145	11	after	after	ADP
cana-651	145	12	augmentation	augmentation	NOUN
cana-651	145	13	is	be	AUX
cana-651	145	14	given	give	VERB
cana-651	145	15	below	below	ADP
cana-651	145	16	:	:	PUNCT
cana-651	145	17	table	table	NOUN
cana-651	145	18	1	1	NUM
cana-651	145	19	.	.	PUNCT
cana-651	145	20	anomaly	anomaly	NOUN
cana-651	145	21	classes	class	NOUN
cana-651	145	22	with	with	ADP
cana-651	145	23	count	count	NOUN
cana-651	145	24	labels	label	NOUN
cana-651	145	25	classes	class	NOUN
cana-651	145	26	count	count	VERB
cana-651	145	27	0	0	NUM
cana-651	145	28	explosion	explosion	NOUN
cana-651	145	29	500	500	NUM
cana-651	145	30	1	1	NUM
cana-651	145	31	fightings	fighting	NOUN
cana-651	145	32	250	250	NUM
cana-651	145	33	2	2	NUM
cana-651	145	34	road	road	NOUN
cana-651	145	35	accidents	accident	NOUN
cana-651	145	36	500	500	NUM
cana-651	145	37	3	3	NUM
cana-651	145	38	normal	normal	ADJ
cana-651	145	39	1360	1360	NUM
cana-651	145	40	total	total	NOUN
cana-651	145	41	2610	2610	NUM
cana-651	145	42	the	the	DET
cana-651	145	43	methods	method	NOUN
cana-651	145	44	for	for	ADP
cana-651	145	45	augmentation	augmentation	NOUN
cana-651	145	46	that	that	PRON
cana-651	145	47	have	have	AUX
cana-651	145	48	been	be	AUX
cana-651	145	49	done	do	VERB
cana-651	145	50	on	on	ADP
cana-651	145	51	the	the	DET
cana-651	145	52	dataset	dataset	NOUN
cana-651	145	53	were	be	AUX
cana-651	145	54	horizontal	horizontal	ADJ
cana-651	145	55	flip	flip	NOUN
cana-651	145	56	,	,	PUNCT
cana-651	145	57	shearing	shearing	NOUN
cana-651	145	58	of	of	ADP
cana-651	145	59	videos	video	NOUN
cana-651	145	60	,	,	PUNCT
cana-651	145	61	brightness	brightness	NOUN
cana-651	145	62	adjustment	adjustment	NOUN
cana-651	145	63	,	,	PUNCT
cana-651	145	64	and	and	CCONJ
cana-651	145	65	vertical	vertical	ADJ
cana-651	145	66	flipping	flipping	NOUN
cana-651	145	67	.	.	PUNCT
cana-651	146	1	in	in	ADP
cana-651	146	2	shearing	shearing	NOUN
cana-651	146	3	,	,	PUNCT
cana-651	146	4	all	all	DET
cana-651	146	5	the	the	DET
cana-651	146	6	perception	perception	NOUN
cana-651	146	7	angles	angle	NOUN
cana-651	146	8	were	be	AUX
cana-651	146	9	communications	communication	NOUN
cana-651	146	10	on	on	ADP
cana-651	146	11	applied	apply	VERB
cana-651	146	12	nonlinear	nonlinear	ADJ
cana-651	146	13	analysis	analysis	NOUN
cana-651	146	14	issn	issn	NOUN
cana-651	146	15	:	:	PUNCT
cana-651	146	16	1074	1074	NUM
cana-651	146	17	-	-	PUNCT
cana-651	146	18	133x	133x	NUM
cana-651	146	19	vol	vol	NOUN
cana-651	146	20	31	31	NUM
cana-651	146	21	no	no	NOUN
cana-651	146	22	.	.	PUNCT
cana-651	147	1	2s	2s	NUM
cana-651	147	2	(	(	PUNCT
cana-651	147	3	2024	2024	NUM
cana-651	147	4	)	)	PUNCT
cana-651	147	5	313	313	NUM
cana-651	147	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-651	147	7	involved	involve	VERB
cana-651	147	8	in	in	ADP
cana-651	147	9	image	image	NOUN
cana-651	147	10	distortion	distortion	NOUN
cana-651	147	11	.	.	PUNCT
cana-651	148	1	adjusting	adjust	VERB
cana-651	148	2	brightness	brightness	NOUN
cana-651	148	3	will	will	AUX
cana-651	148	4	help	help	VERB
cana-651	148	5	for	for	ADP
cana-651	148	6	realistic	realistic	ADJ
cana-651	148	7	and	and	CCONJ
cana-651	148	8	simulating	simulate	VERB
cana-651	148	9	some	some	DET
cana-651	148	10	reallife	reallife	NOUN
cana-651	148	11	situations	situation	NOUN
cana-651	148	12	.	.	PUNCT
cana-651	149	1	2.2	2.2	NUM
cana-651	149	2	.	.	PUNCT
cana-651	149	3	sequence	sequence	NOUN
cana-651	149	4	length	length	NOUN
cana-651	149	5	and	and	CCONJ
cana-651	149	6	input	input	NOUN
cana-651	149	7	dimension	dimension	NOUN
cana-651	149	8	sequence	sequence	NOUN
cana-651	149	9	length	length	NOUN
cana-651	149	10	is	be	AUX
cana-651	149	11	the	the	DET
cana-651	149	12	total	total	ADJ
cana-651	149	13	count	count	NOUN
cana-651	149	14	per	per	ADP
cana-651	149	15	step	step	NOUN
cana-651	149	16	which	which	PRON
cana-651	149	17	will	will	AUX
cana-651	149	18	directed	direct	VERB
cana-651	149	19	to	to	ADP
cana-651	149	20	the	the	DET
cana-651	149	21	bidirectional	bidirectional	ADJ
cana-651	149	22	lstm	lstm	NOUN
cana-651	149	23	network	network	NOUN
cana-651	149	24	.	.	PUNCT
cana-651	150	1	if	if	SCONJ
cana-651	150	2	we	we	PRON
cana-651	150	3	have	have	VERB
cana-651	150	4	any	any	DET
cana-651	150	5	word	word	NOUN
cana-651	150	6	embeddings	embedding	NOUN
cana-651	150	7	then	then	ADV
cana-651	150	8	we	we	PRON
cana-651	150	9	ca	can	AUX
cana-651	150	10	n’t	not	PART
cana-651	150	11	directly	directly	ADV
cana-651	150	12	direct	direct	VERB
cana-651	150	13	those	those	DET
cana-651	150	14	embeddings	embedding	NOUN
cana-651	150	15	into	into	ADP
cana-651	150	16	bi	bi	NOUN
cana-651	150	17	-	-	NOUN
cana-651	150	18	lstm	lstm	ADJ
cana-651	150	19	.	.	PUNCT
cana-651	151	1	for	for	ADP
cana-651	151	2	conversion	conversion	NOUN
cana-651	151	3	of	of	ADP
cana-651	151	4	word	word	NOUN
cana-651	151	5	to	to	ADP
cana-651	151	6	number	number	NOUN
cana-651	151	7	embeddings	embedding	NOUN
cana-651	151	8	,	,	PUNCT
cana-651	151	9	encoding	encode	VERB
cana-651	151	10	the	the	DET
cana-651	151	11	word	word	NOUN
cana-651	151	12	embedding	embed	VERB
cana-651	151	13	is	be	AUX
cana-651	151	14	a	a	DET
cana-651	151	15	must	must	NOUN
cana-651	151	16	and	and	CCONJ
cana-651	151	17	that	that	PRON
cana-651	151	18	’s	’	VERB
cana-651	151	19	where	where	SCONJ
cana-651	151	20	sequence	sequence	NOUN
cana-651	151	21	length	length	NOUN
cana-651	151	22	is	be	AUX
cana-651	151	23	primarily	primarily	ADV
cana-651	151	24	used	use	VERB
cana-651	151	25	.	.	PUNCT
cana-651	152	1	bi	bi	ADJ
cana-651	152	2	-	-	ADJ
cana-651	152	3	directional	directional	ADJ
cana-651	152	4	lstm	lstm	NOUN
cana-651	152	5	requires	require	VERB
cana-651	152	6	the	the	DET
cana-651	152	7	required	require	VERB
cana-651	152	8	number	number	NOUN
cana-651	152	9	of	of	ADP
cana-651	152	10	sequence	sequence	NOUN
cana-651	152	11	input	input	NOUN
cana-651	152	12	of	of	ADP
cana-651	152	13	time	time	NOUN
cana-651	152	14	steps	step	NOUN
cana-651	152	15	.	.	PUNCT
cana-651	153	1	it	it	PRON
cana-651	153	2	will	will	AUX
cana-651	153	3	processed	process	VERB
cana-651	153	4	further	far	ADV
cana-651	153	5	into	into	ADP
cana-651	153	6	the	the	DET
cana-651	153	7	parser	parser	NOUN
cana-651	153	8	and	and	CCONJ
cana-651	153	9	then	then	ADV
cana-651	153	10	it	it	PRON
cana-651	153	11	will	will	AUX
cana-651	153	12	diverge	diverge	VERB
cana-651	153	13	into	into	ADP
cana-651	153	14	three	three	NUM
cana-651	153	15	defined	define	VERB
cana-651	153	16	classes	class	NOUN
cana-651	153	17	.	.	PUNCT
cana-651	154	1	2.3	2.3	NUM
cana-651	154	2	.	.	PUNCT
cana-651	155	1	frames	frame	NOUN
cana-651	155	2	parser	parser	NOUN
cana-651	155	3	frames	frame	NOUN
cana-651	155	4	parser	parser	NOUN
cana-651	155	5	contains	contain	VERB
cana-651	155	6	some	some	DET
cana-651	155	7	predefined	predefine	VERB
cana-651	155	8	processes	process	NOUN
cana-651	155	9	related	relate	VERB
cana-651	155	10	to	to	ADP
cana-651	155	11	trimming	trim	VERB
cana-651	155	12	,	,	PUNCT
cana-651	155	13	adjusting	adjust	VERB
cana-651	155	14	,	,	PUNCT
cana-651	155	15	and	and	CCONJ
cana-651	155	16	modeling	modeling	NOUN
cana-651	155	17	of	of	ADP
cana-651	155	18	frames	frame	NOUN
cana-651	155	19	along	along	ADP
cana-651	155	20	with	with	ADP
cana-651	155	21	the	the	DET
cana-651	155	22	extraction	extraction	NOUN
cana-651	155	23	of	of	ADP
cana-651	155	24	frames	frame	NOUN
cana-651	155	25	as	as	ADP
cana-651	155	26	a	a	DET
cana-651	155	27	main	main	ADJ
cana-651	155	28	component	component	NOUN
cana-651	155	29	.	.	PUNCT
cana-651	156	1	pre	pre	VERB
cana-651	156	2	-	-	VERB
cana-651	156	3	defined	define	VERB
cana-651	156	4	processes	process	NOUN
cana-651	156	5	include	include	VERB
cana-651	156	6	analyzing	analyze	VERB
cana-651	156	7	current	current	ADJ
cana-651	156	8	and	and	CCONJ
cana-651	156	9	latest	late	ADJ
cana-651	156	10	frames	frame	NOUN
cana-651	156	11	and	and	CCONJ
cana-651	156	12	appending	append	VERB
cana-651	156	13	all	all	DET
cana-651	156	14	the	the	DET
cana-651	156	15	latest	late	ADJ
cana-651	156	16	frames	frame	NOUN
cana-651	156	17	in	in	ADP
cana-651	156	18	the	the	DET
cana-651	156	19	list	list	NOUN
cana-651	156	20	along	along	ADP
cana-651	156	21	with	with	ADP
cana-651	156	22	the	the	DET
cana-651	156	23	main	main	ADJ
cana-651	156	24	paths	path	NOUN
cana-651	156	25	of	of	ADP
cana-651	156	26	video	video	NOUN
cana-651	156	27	input	input	NOUN
cana-651	156	28	destinations	destination	NOUN
cana-651	156	29	.	.	PUNCT
cana-651	157	1	all	all	DET
cana-651	157	2	the	the	DET
cana-651	157	3	frames	frame	NOUN
cana-651	157	4	and	and	CCONJ
cana-651	157	5	video	video	NOUN
cana-651	157	6	input	input	NOUN
cana-651	157	7	data	datum	NOUN
cana-651	157	8	was	be	AUX
cana-651	157	9	balanced	balance	VERB
cana-651	157	10	by	by	ADP
cana-651	157	11	adjusting	adjust	VERB
cana-651	157	12	their	their	PRON
cana-651	157	13	frame	frame	NOUN
cana-651	157	14	size	size	NOUN
cana-651	157	15	as	as	SCONJ
cana-651	157	16	all	all	DET
cana-651	157	17	the	the	DET
cana-651	157	18	data	datum	NOUN
cana-651	157	19	of	of	ADP
cana-651	157	20	the	the	DET
cana-651	157	21	dataset	dataset	NOUN
cana-651	157	22	may	may	AUX
cana-651	157	23	not	not	PART
cana-651	157	24	be	be	AUX
cana-651	157	25	balanced	balance	VERB
cana-651	157	26	and	and	CCONJ
cana-651	157	27	of	of	ADP
cana-651	157	28	the	the	DET
cana-651	157	29	same	same	ADJ
cana-651	157	30	size	size	NOUN
cana-651	157	31	and	and	CCONJ
cana-651	157	32	adjustments	adjustment	NOUN
cana-651	157	33	.	.	PUNCT
cana-651	158	1	further	far	ADV
cana-651	158	2	,	,	PUNCT
cana-651	158	3	the	the	DET
cana-651	158	4	dataset	dataset	NOUN
cana-651	158	5	was	be	AUX
cana-651	158	6	split	split	VERB
cana-651	158	7	into	into	ADP
cana-651	158	8	training	training	NOUN
cana-651	158	9	and	and	CCONJ
cana-651	158	10	testing	testing	NOUN
cana-651	158	11	datasets	dataset	NOUN
cana-651	158	12	.	.	PUNCT
cana-651	159	1	2.4	2.4	NUM
cana-651	159	2	.	.	PUNCT
cana-651	160	1	mobilenet	mobilenet	NOUN
cana-651	160	2	procedure	procedure	NOUN
cana-651	160	3	mobilenet	mobilenet	NOUN
cana-651	160	4	is	be	AUX
cana-651	160	5	the	the	DET
cana-651	160	6	main	main	ADJ
cana-651	160	7	component	component	NOUN
cana-651	160	8	of	of	ADP
cana-651	160	9	this	this	DET
cana-651	160	10	proposed	propose	VERB
cana-651	160	11	system	system	NOUN
cana-651	160	12	of	of	ADP
cana-651	160	13	real	real	ADJ
cana-651	160	14	-	-	PUNCT
cana-651	160	15	time	time	NOUN
cana-651	160	16	anomaly	anomaly	NOUN
cana-651	160	17	detection	detection	NOUN
cana-651	160	18	as	as	SCONJ
cana-651	160	19	mobilenet	mobilenet	NOUN
cana-651	160	20	is	be	AUX
cana-651	160	21	an	an	DET
cana-651	160	22	advanced	advanced	ADJ
cana-651	160	23	cnn	cnn	NOUN
cana-651	160	24	architecture	architecture	NOUN
cana-651	160	25	along	along	ADP
cana-651	160	26	with	with	ADP
cana-651	160	27	some	some	DET
cana-651	160	28	advanced	advanced	ADJ
cana-651	160	29	features	feature	NOUN
cana-651	160	30	that	that	PRON
cana-651	160	31	help	help	VERB
cana-651	160	32	the	the	DET
cana-651	160	33	model	model	NOUN
cana-651	160	34	to	to	PART
cana-651	160	35	achieve	achieve	VERB
cana-651	160	36	the	the	DET
cana-651	160	37	predicted	predict	VERB
cana-651	160	38	accuracy	accuracy	NOUN
cana-651	160	39	with	with	ADP
cana-651	160	40	minimal	minimal	ADJ
cana-651	160	41	false	false	ADJ
cana-651	160	42	negative	negative	ADJ
cana-651	160	43	rate	rate	NOUN
cana-651	160	44	.	.	PUNCT
cana-651	161	1	the	the	DET
cana-651	161	2	main	main	ADJ
cana-651	161	3	novelty	novelty	NOUN
cana-651	161	4	of	of	ADP
cana-651	161	5	mobilenet	mobilenet	NOUN
cana-651	161	6	is	be	AUX
cana-651	161	7	its	its	PRON
cana-651	161	8	convolution	convolution	NOUN
cana-651	161	9	framework	framework	NOUN
cana-651	161	10	as	as	SCONJ
cana-651	161	11	mobilenet	mobilenet	NOUN
cana-651	161	12	works	work	VERB
cana-651	161	13	on	on	ADP
cana-651	161	14	depth	depth	NOUN
cana-651	161	15	-	-	PUNCT
cana-651	161	16	wise	wise	ADJ
cana-651	161	17	and	and	CCONJ
cana-651	161	18	point	point	ADV
cana-651	161	19	-	-	PUNCT
cana-651	161	20	wise	wise	ADJ
cana-651	161	21	convolutional	convolutional	ADJ
cana-651	161	22	networks	network	NOUN
cana-651	161	23	.	.	PUNCT
cana-651	162	1	mobilenet	mobilenet	NOUN
cana-651	162	2	is	be	AUX
cana-651	162	3	a	a	DET
cana-651	162	4	lightweight	lightweight	ADJ
cana-651	162	5	architecture	architecture	NOUN
cana-651	162	6	and	and	CCONJ
cana-651	162	7	follows	follow	VERB
cana-651	162	8	streamlined	streamlined	ADJ
cana-651	162	9	architecture	architecture	NOUN
cana-651	162	10	.	.	PUNCT
cana-651	163	1	due	due	ADP
cana-651	163	2	to	to	ADP
cana-651	163	3	this	this	PRON
cana-651	163	4	,	,	PUNCT
cana-651	163	5	it	it	PRON
cana-651	163	6	also	also	ADV
cana-651	163	7	works	work	VERB
cana-651	163	8	sufficiently	sufficiently	ADV
cana-651	163	9	on	on	ADP
cana-651	163	10	mobiles	mobile	NOUN
cana-651	163	11	and	and	CCONJ
cana-651	163	12	embedded	embed	VERB
cana-651	163	13	devices	device	NOUN
cana-651	163	14	.	.	PUNCT
cana-651	164	1	hot	hot	ADJ
cana-651	164	2	encoding	encoding	NOUN
cana-651	164	3	will	will	AUX
cana-651	164	4	primarily	primarily	ADV
cana-651	164	5	used	use	VERB
cana-651	164	6	for	for	ADP
cana-651	164	7	converting	convert	VERB
cana-651	164	8	categorical	categorical	ADJ
cana-651	164	9	data	datum	NOUN
cana-651	164	10	into	into	ADP
cana-651	164	11	numerical	numerical	ADJ
cana-651	164	12	data	datum	NOUN
cana-651	164	13	.	.	PUNCT
cana-651	165	1	for	for	ADP
cana-651	165	2	example	example	NOUN
cana-651	165	3	,	,	PUNCT
cana-651	165	4	three	three	NUM
cana-651	165	5	classes	class	NOUN
cana-651	165	6	named	name	VERB
cana-651	165	7	fighting	fighting	NOUN
cana-651	165	8	,	,	PUNCT
cana-651	165	9	road	road	NOUN
cana-651	165	10	accidents	accident	NOUN
cana-651	165	11	,	,	PUNCT
cana-651	165	12	and	and	CCONJ
cana-651	165	13	explosion	explosion	NOUN
cana-651	165	14	will	will	AUX
cana-651	165	15	converted	convert	VERB
cana-651	165	16	into	into	ADP
cana-651	165	17	(	(	PUNCT
cana-651	165	18	0,1,2	0,1,2	NUM
cana-651	165	19	)	)	PUNCT
cana-651	165	20	.	.	PUNCT
cana-651	166	1	the	the	DET
cana-651	166	2	coefficient	coefficient	NOUN
cana-651	166	3	equation	equation	NOUN
cana-651	166	4	of	of	ADP
cana-651	166	5	mobilenet	mobilenet	NOUN
cana-651	166	6	as	as	SCONJ
cana-651	166	7	follows	follow	VERB
cana-651	166	8	:	:	PUNCT
cana-651	166	9	𝑎𝑟	𝑎𝑟	ADP
cana-651	166	10	=	=	PUNCT
cana-651	166	11	∑	∑	PUNCT
cana-651	166	12	⬚	⬚	PROPN
cana-651	166	13	𝑛	𝑛	PRON
cana-651	166	14	𝑖=1	𝑖=1	PROPN
cana-651	166	15	(	(	PUNCT
cana-651	166	16	𝑎𝑖−𝑎	𝑎𝑖−𝑎	NOUN
cana-651	166	17	𝑠𝑖𝑥	𝑠𝑖𝑥	PROPN
cana-651	166	18	)	)	PUNCT
cana-651	166	19	(	(	PUNCT
cana-651	166	20	𝑏𝑖−𝑏	𝑏𝑖−𝑏	NOUN
cana-651	166	21	𝑠𝑖𝑦	𝑠𝑖𝑦	ADJ
cana-651	166	22	)	)	PUNCT
cana-651	166	23	𝑚𝑛−1	𝑚𝑛−1	PROPN
cana-651	166	24	equation	equation	NOUN
cana-651	166	25	1	1	NUM
cana-651	166	26	:	:	PUNCT
cana-651	166	27	coefficient	coefficient	NOUN
cana-651	166	28	equation	equation	NOUN
cana-651	166	29	of	of	ADP
cana-651	166	30	mobilenet	mobilenet	NOUN
cana-651	166	31	equation	equation	NOUN
cana-651	166	32	1	1	NUM
cana-651	166	33	represents	represent	VERB
cana-651	166	34	coefficient	coefficient	NOUN
cana-651	166	35	representation	representation	NOUN
cana-651	166	36	of	of	ADP
cana-651	166	37	mobilenet	mobilenet	NOUN
cana-651	166	38	whereas	whereas	SCONJ
cana-651	166	39	ar	ar	NOUN
cana-651	166	40	stands	stand	VERB
cana-651	166	41	for	for	ADP
cana-651	166	42	the	the	DET
cana-651	166	43	output	output	NOUN
cana-651	166	44	of	of	ADP
cana-651	166	45	the	the	DET
cana-651	166	46	predictive	predictive	ADJ
cana-651	166	47	data	datum	NOUN
cana-651	166	48	segments	segment	NOUN
cana-651	166	49	.	.	PUNCT
cana-651	167	1	in	in	ADP
cana-651	167	2	the	the	DET
cana-651	167	3	above	above	ADJ
cana-651	167	4	equation	equation	NOUN
cana-651	167	5	,	,	PUNCT
cana-651	167	6	a	a	PRON
cana-651	167	7	and	and	CCONJ
cana-651	167	8	b	b	NOUN
cana-651	167	9	are	be	AUX
cana-651	167	10	variables	variable	NOUN
cana-651	167	11	that	that	PRON
cana-651	167	12	are	be	AUX
cana-651	167	13	the	the	DET
cana-651	167	14	cardinal	cardinal	ADJ
cana-651	167	15	set	set	NOUN
cana-651	167	16	for	for	ADP
cana-651	167	17	the	the	DET
cana-651	167	18	variables	variable	NOUN
cana-651	167	19	a	a	PRON
cana-651	167	20	and	and	CCONJ
cana-651	167	21	b.	b.	PROPN
cana-651	167	22	ar	ar	PROPN
cana-651	167	23	is	be	AUX
cana-651	167	24	the	the	DET
cana-651	167	25	derivation	derivation	NOUN
cana-651	167	26	cross	cross	NOUN
cana-651	167	27	sum	sum	NOUN
cana-651	167	28	of	of	ADP
cana-651	167	29	the	the	DET
cana-651	167	30	variables	variable	NOUN
cana-651	167	31	.	.	PUNCT
cana-651	168	1	𝑠𝑖𝑥	𝑠𝑖𝑥	NOUN
cana-651	168	2	and	and	CCONJ
cana-651	168	3	𝑠𝑖𝑦	𝑠𝑖𝑦	PROPN
cana-651	168	4	are	be	AUX
cana-651	168	5	the	the	DET
cana-651	168	6	input	input	NOUN
cana-651	168	7	sequence	sequence	NOUN
cana-651	168	8	related	relate	VERB
cana-651	168	9	with	with	ADP
cana-651	168	10	variables	variable	NOUN
cana-651	168	11	a	a	PROPN
cana-651	168	12	and	and	CCONJ
cana-651	168	13	b	b	NOUN
cana-651	168	14	which	which	PRON
cana-651	168	15	are	be	AUX
cana-651	168	16	associated	associate	VERB
cana-651	168	17	with	with	ADP
cana-651	168	18	the	the	DET
cana-651	168	19	final	final	ADJ
cana-651	168	20	outcome	outcome	NOUN
cana-651	168	21	ar	ar	NOUN
cana-651	168	22	.	.	PROPN
cana-651	168	23	2.5	2.5	NUM
cana-651	168	24	.	.	PUNCT
cana-651	169	1	bi	bi	ADJ
cana-651	169	2	-	-	ADJ
cana-651	169	3	lstm	lstm	ADJ
cana-651	169	4	bidirectional	bidirectional	NOUN
cana-651	169	5	long	long	ADJ
cana-651	169	6	short	short	ADJ
cana-651	169	7	-	-	PUNCT
cana-651	169	8	term	term	NOUN
cana-651	169	9	memory	memory	NOUN
cana-651	169	10	is	be	AUX
cana-651	169	11	a	a	DET
cana-651	169	12	sequential	sequential	ADJ
cana-651	169	13	model	model	NOUN
cana-651	169	14	that	that	PRON
cana-651	169	15	carries	carry	VERB
cana-651	169	16	two	two	NUM
cana-651	169	17	inputs	input	NOUN
cana-651	169	18	for	for	ADP
cana-651	169	19	its	its	PRON
cana-651	169	20	subsequent	subsequent	ADJ
cana-651	169	21	model	model	NOUN
cana-651	169	22	as	as	ADP
cana-651	169	23	one	one	NUM
cana-651	169	24	input	input	NOUN
cana-651	169	25	will	will	AUX
cana-651	169	26	processed	process	VERB
cana-651	169	27	for	for	ADP
cana-651	169	28	the	the	DET
cana-651	169	29	forward	forward	ADJ
cana-651	169	30	network	network	NOUN
cana-651	169	31	and	and	CCONJ
cana-651	169	32	one	one	NUM
cana-651	169	33	input	input	NOUN
cana-651	169	34	will	will	AUX
cana-651	169	35	processed	process	VERB
cana-651	169	36	for	for	ADP
cana-651	169	37	the	the	DET
cana-651	169	38	backward	backward	ADJ
cana-651	169	39	network	network	NOUN
cana-651	169	40	.	.	PUNCT
cana-651	170	1	it	it	PRON
cana-651	170	2	is	be	AUX
cana-651	170	3	different	different	ADJ
cana-651	170	4	from	from	ADP
cana-651	170	5	convlstm	convlstm	NOUN
cana-651	170	6	which	which	PRON
cana-651	170	7	is	be	AUX
cana-651	170	8	convolutional	convolutional	ADJ
cana-651	170	9	long	long	ADJ
cana-651	170	10	short	short	ADJ
cana-651	170	11	term	term	NOUN
cana-651	170	12	memory	memory	NOUN
cana-651	170	13	.	.	PUNCT
cana-651	171	1	bi	bi	ADJ
cana-651	171	2	-	-	ADJ
cana-651	171	3	directional	directional	ADJ
cana-651	171	4	lstm	lstm	NOUN
cana-651	171	5	supports	support	VERB
cana-651	171	6	two	two	NUM
cana-651	171	7	-	-	PUNCT
cana-651	171	8	way	way	NOUN
cana-651	171	9	flow	flow	NOUN
cana-651	171	10	when	when	SCONJ
cana-651	171	11	compared	compare	VERB
cana-651	171	12	to	to	ADP
cana-651	171	13	uni	uni	ADJ
cana-651	171	14	-	-	ADJ
cana-651	171	15	directional	directional	ADJ
cana-651	171	16	lstm	lstm	NOUN
cana-651	171	17	.	.	PUNCT
cana-651	172	1	bicommunications	bicommunication	NOUN
cana-651	172	2	on	on	ADP
cana-651	172	3	applied	apply	VERB
cana-651	172	4	nonlinear	nonlinear	ADJ
cana-651	172	5	analysis	analysis	NOUN
cana-651	172	6	issn	issn	NOUN
cana-651	172	7	:	:	PUNCT
cana-651	172	8	1074	1074	NUM
cana-651	172	9	-	-	PUNCT
cana-651	172	10	133x	133x	NUM
cana-651	172	11	vol	vol	NOUN
cana-651	172	12	31	31	NUM
cana-651	172	13	no	no	NOUN
cana-651	172	14	.	.	PUNCT
cana-651	173	1	2s	2s	NUM
cana-651	173	2	(	(	PUNCT
cana-651	173	3	2024	2024	NUM
cana-651	173	4	)	)	PUNCT
cana-651	173	5	314	314	NUM
cana-651	173	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-651	173	7	directional	directional	ADJ
cana-651	173	8	lstm	lstm	NOUN
cana-651	173	9	enhances	enhance	VERB
cana-651	173	10	its	its	PRON
cana-651	173	11	mechanism	mechanism	NOUN
cana-651	173	12	by	by	ADP
cana-651	173	13	adding	add	VERB
cana-651	173	14	one	one	NUM
cana-651	173	15	notch	notch	NOUN
cana-651	173	16	layer	layer	NOUN
cana-651	173	17	that	that	PRON
cana-651	173	18	supports	support	VERB
cana-651	173	19	and	and	CCONJ
cana-651	173	20	is	be	AUX
cana-651	173	21	able	able	ADJ
cana-651	173	22	to	to	PART
cana-651	173	23	reverse	reverse	VERB
cana-651	173	24	data	datum	NOUN
cana-651	173	25	flow	flow	NOUN
cana-651	173	26	from	from	ADP
cana-651	173	27	its	its	PRON
cana-651	173	28	centric	centric	ADJ
cana-651	173	29	system	system	NOUN
cana-651	173	30	.	.	PUNCT
cana-651	174	1	the	the	DET
cana-651	174	2	formulation	formulation	NOUN
cana-651	174	3	of	of	ADP
cana-651	174	4	bi	bi	NOUN
cana-651	174	5	-	-	NOUN
cana-651	174	6	lstm	lstm	NOUN
cana-651	174	7	as	as	SCONJ
cana-651	174	8	follows	follow	VERB
cana-651	174	9	:	:	PUNCT
cana-651	174	10	𝐷𝑡𝑠	𝐷𝑡𝑠	INTJ
cana-651	174	11	𝑠𝑖	𝑠𝑖	NOUN
cana-651	174	12	=	=	SYM
cana-651	174	13	𝑡𝑎𝑛ℎ(𝑉ℎ𝑔	𝑡𝑎𝑛ℎ(𝑉ℎ𝑔	PROPN
cana-651	174	14	⬚	⬚	PROPN
cana-651	174	15	∗	∗	NOUN
cana-651	174	16	ℎ𝑡𝑠−1	ℎ𝑡𝑠−1	PROPN
cana-651	174	17	𝑠𝑖	𝑠𝑖	PROPN
cana-651	174	18	+	+	CCONJ
cana-651	174	19	𝑉𝑒𝑥	𝑉𝑒𝑥	VERB
cana-651	174	20	𝑠𝑖	𝑠𝑖	NOUN
cana-651	174	21	∗	∗	NOUN
cana-651	174	22	𝑒𝑡𝑠	𝑒𝑡𝑠	X
cana-651	174	23	𝑠𝑖	𝑠𝑖	NOUN
cana-651	174	24	)	)	PUNCT
cana-651	174	25	equation	equation	NOUN
cana-651	174	26	2	2	NUM
cana-651	174	27	:	:	PUNCT
cana-651	174	28	formulational	formulational	ADJ
cana-651	174	29	equation	equation	NOUN
cana-651	174	30	for	for	ADP
cana-651	174	31	bi	bi	NOUN
cana-651	174	32	-	-	NOUN
cana-651	174	33	lstm	lstm	ADJ
cana-651	174	34	in	in	ADP
cana-651	174	35	the	the	DET
cana-651	174	36	above	above	ADJ
cana-651	174	37	equation	equation	NOUN
cana-651	174	38	2	2	NUM
cana-651	174	39	,	,	PUNCT
cana-651	174	40	vhg	vhg	NOUN
cana-651	174	41	and	and	CCONJ
cana-651	174	42	𝑉𝑒𝑥	𝑉𝑒𝑥	VERB
cana-651	174	43	𝑠𝑖	𝑠𝑖	NOUN
cana-651	174	44	represent	represent	VERB
cana-651	174	45	volumetric	volumetric	NOUN
cana-651	174	46	weights	weight	NOUN
cana-651	174	47	associated	associate	VERB
cana-651	174	48	with	with	ADP
cana-651	174	49	the	the	DET
cana-651	174	50	model	model	NOUN
cana-651	174	51	.	.	PUNCT
cana-651	175	1	si	si	PROPN
cana-651	176	1	in	in	ADP
cana-651	176	2	the	the	DET
cana-651	176	3	superscript	superscript	NOUN
cana-651	176	4	of	of	ADP
cana-651	176	5	the	the	DET
cana-651	176	6	equation	equation	NOUN
cana-651	176	7	means	mean	VERB
cana-651	176	8	information	information	NOUN
cana-651	176	9	related	relate	VERB
cana-651	176	10	to	to	ADP
cana-651	176	11	the	the	DET
cana-651	176	12	input	input	NOUN
cana-651	176	13	sequence	sequence	NOUN
cana-651	176	14	and	and	CCONJ
cana-651	176	15	ts	ts	X
cana-651	176	16	in	in	ADP
cana-651	176	17	the	the	DET
cana-651	176	18	subscript	subscript	NOUN
cana-651	176	19	of	of	ADP
cana-651	176	20	the	the	DET
cana-651	176	21	equation	equation	NOUN
cana-651	176	22	means	mean	VERB
cana-651	176	23	the	the	DET
cana-651	176	24	information	information	NOUN
cana-651	176	25	related	relate	VERB
cana-651	176	26	to	to	ADP
cana-651	176	27	the	the	DET
cana-651	176	28	time	time	NOUN
cana-651	176	29	sequence	sequence	NOUN
cana-651	176	30	.	.	PUNCT
cana-651	177	1	the	the	DET
cana-651	177	2	term	term	NOUN
cana-651	177	3	𝐷𝑡𝑠	𝐷𝑡𝑠	PROPN
cana-651	177	4	𝑠𝑖	𝑠𝑖	NOUN
cana-651	177	5	here	here	ADV
cana-651	177	6	represents	represent	VERB
cana-651	177	7	the	the	DET
cana-651	177	8	cumulative	cumulative	ADJ
cana-651	177	9	output	output	NOUN
cana-651	177	10	at	at	ADP
cana-651	177	11	a	a	DET
cana-651	177	12	particular	particular	ADJ
cana-651	177	13	step	step	NOUN
cana-651	177	14	.	.	PUNCT
cana-651	178	1	𝑉𝑒𝑥	𝑉𝑒𝑥	VERB
cana-651	178	2	𝑠𝑖	𝑠𝑖	NOUN
cana-651	178	3	this	this	PRON
cana-651	178	4	is	be	AUX
cana-651	178	5	the	the	DET
cana-651	178	6	other	other	ADJ
cana-651	178	7	volumetric	volumetric	NOUN
cana-651	178	8	weight	weight	NOUN
cana-651	178	9	related	relate	VERB
cana-651	178	10	to	to	ADP
cana-651	178	11	the	the	DET
cana-651	178	12	output	output	NOUN
cana-651	178	13	of	of	ADP
cana-651	178	14	particular	particular	ADJ
cana-651	178	15	time	time	NOUN
cana-651	178	16	step	step	NOUN
cana-651	178	17	.	.	PUNCT
cana-651	179	1	bi	bi	ADJ
cana-651	179	2	-	-	ADJ
cana-651	179	3	directional	directional	ADJ
cana-651	179	4	lstm	lstm	NOUN
cana-651	179	5	was	be	AUX
cana-651	179	6	used	use	VERB
cana-651	179	7	to	to	PART
cana-651	179	8	track	track	VERB
cana-651	179	9	and	and	CCONJ
cana-651	179	10	capture	capture	VERB
cana-651	179	11	the	the	DET
cana-651	179	12	temporal	temporal	ADJ
cana-651	179	13	correspondence	correspondence	NOUN
cana-651	179	14	across	across	ADP
cana-651	179	15	the	the	DET
cana-651	179	16	model	model	NOUN
cana-651	179	17	.	.	PUNCT
cana-651	180	1	it	it	PRON
cana-651	180	2	varies	vary	VERB
cana-651	180	3	over	over	ADP
cana-651	180	4	time	time	NOUN
cana-651	180	5	.	.	PUNCT
cana-651	181	1	timedistributedlayer	timedistributedlayer	PROPN
cana-651	181	2	was	be	AUX
cana-651	181	3	been	be	AUX
cana-651	181	4	used	use	VERB
cana-651	181	5	for	for	ADP
cana-651	181	6	each	each	DET
cana-651	181	7	frame	frame	NOUN
cana-651	181	8	extraction	extraction	NOUN
cana-651	181	9	process	process	NOUN
cana-651	181	10	and	and	CCONJ
cana-651	181	11	the	the	DET
cana-651	181	12	application	application	NOUN
cana-651	181	13	of	of	ADP
cana-651	181	14	mobilenet	mobilenet	NOUN
cana-651	181	15	model	model	NOUN
cana-651	181	16	to	to	ADP
cana-651	181	17	each	each	DET
cana-651	181	18	individual	individual	ADJ
cana-651	181	19	frame	frame	NOUN
cana-651	181	20	by	by	ADP
cana-651	181	21	frame	frame	NOUN
cana-651	181	22	.	.	PUNCT
cana-651	182	1	the	the	DET
cana-651	182	2	overall	overall	ADJ
cana-651	182	3	predictive	predictive	ADJ
cana-651	182	4	mobilenet	mobilenet	NOUN
cana-651	182	5	classifier	classifier	NOUN
cana-651	182	6	of	of	ADP
cana-651	182	7	the	the	DET
cana-651	182	8	proposed	propose	VERB
cana-651	182	9	model	model	NOUN
cana-651	182	10	consisting	consist	VERB
cana-651	182	11	of	of	ADP
cana-651	182	12	total	total	ADJ
cana-651	182	13	parameters	parameter	NOUN
cana-651	182	14	,	,	PUNCT
cana-651	182	15	output	output	NOUN
cana-651	182	16	shape	shape	NOUN
cana-651	182	17	listing	listing	NOUN
cana-651	182	18	,	,	PUNCT
cana-651	182	19	and	and	CCONJ
cana-651	182	20	the	the	DET
cana-651	182	21	sequential	sequential	ADJ
cana-651	182	22	layers	layer	NOUN
cana-651	182	23	.	.	PUNCT
cana-651	183	1	the	the	DET
cana-651	183	2	layers	layer	NOUN
cana-651	183	3	included	include	VERB
cana-651	183	4	in	in	ADP
cana-651	183	5	this	this	DET
cana-651	183	6	model	model	NOUN
cana-651	183	7	are	be	AUX
cana-651	183	8	the	the	DET
cana-651	183	9	time_distributed	time_distribute	VERB
cana-651	183	10	layer	layer	NOUN
cana-651	183	11	,	,	PUNCT
cana-651	183	12	dropout	dropout	NOUN
cana-651	183	13	layer	layer	NOUN
cana-651	183	14	,	,	PUNCT
cana-651	183	15	bidirectional	bidirectional	ADJ
cana-651	183	16	layer	layer	NOUN
cana-651	183	17	,	,	PUNCT
cana-651	183	18	and	and	CCONJ
cana-651	183	19	dense	dense	ADJ
cana-651	183	20	layer	layer	NOUN
cana-651	183	21	.	.	PUNCT
cana-651	184	1	this	this	DET
cana-651	184	2	sequential	sequential	ADJ
cana-651	184	3	model	model	NOUN
cana-651	184	4	will	will	AUX
cana-651	184	5	process	process	VERB
cana-651	184	6	the	the	DET
cana-651	184	7	same	same	ADJ
cana-651	184	8	video	video	NOUN
cana-651	184	9	data	datum	NOUN
cana-651	184	10	input	input	NOUN
cana-651	184	11	from	from	ADP
cana-651	184	12	the	the	DET
cana-651	184	13	time_distributed	time_distribute	VERB
cana-651	184	14	layer	layer	NOUN
cana-651	184	15	to	to	ADP
cana-651	184	16	the	the	DET
cana-651	184	17	dense	dense	ADJ
cana-651	184	18	layer	layer	NOUN
cana-651	184	19	sequentially	sequentially	ADV
cana-651	184	20	.	.	PUNCT
cana-651	185	1	the	the	DET
cana-651	185	2	bidirectional	bidirectional	ADJ
cana-651	185	3	layer	layer	NOUN
cana-651	185	4	is	be	AUX
cana-651	185	5	primarily	primarily	ADV
cana-651	185	6	based	base	VERB
cana-651	185	7	on	on	ADP
cana-651	185	8	lstm	lstm	PROPN
cana-651	185	9	.	.	PUNCT
cana-651	186	1	2.6	2.6	NUM
cana-651	186	2	.	.	PUNCT
cana-651	186	3	final	final	ADJ
cana-651	186	4	prediction	prediction	NOUN
cana-651	186	5	and	and	CCONJ
cana-651	186	6	predictive	predictive	ADJ
cana-651	186	7	output	output	NOUN
cana-651	186	8	admm	admm	NOUN
cana-651	186	9	is	be	AUX
cana-651	186	10	an	an	DET
cana-651	186	11	alternating	alternate	VERB
cana-651	186	12	direction	direction	NOUN
cana-651	186	13	method	method	NOUN
cana-651	186	14	of	of	ADP
cana-651	186	15	multipliers	multiplier	NOUN
cana-651	186	16	,	,	PUNCT
cana-651	186	17	batch	batch	VERB
cana-651	186	18	gradient	gradient	ADJ
cana-651	186	19	descent	descent	NOUN
cana-651	186	20	,	,	PUNCT
cana-651	186	21	stochastic	stochastic	ADJ
cana-651	186	22	gradient	gradient	ADJ
cana-651	186	23	descent	descent	NOUN
cana-651	186	24	,	,	PUNCT
cana-651	186	25	evolutionary	evolutionary	ADJ
cana-651	186	26	algorithms	algorithm	NOUN
cana-651	186	27	,	,	PUNCT
cana-651	186	28	and	and	CCONJ
cana-651	186	29	adam	adam	PROPN
cana-651	186	30	optimizers	optimizer	NOUN
cana-651	186	31	these	these	PRON
cana-651	186	32	are	be	AUX
cana-651	186	33	some	some	PRON
cana-651	186	34	of	of	ADP
cana-651	186	35	the	the	DET
cana-651	186	36	optimization	optimization	NOUN
cana-651	186	37	techniques	technique	NOUN
cana-651	186	38	generally	generally	ADV
cana-651	186	39	used	use	VERB
cana-651	186	40	for	for	ADP
cana-651	186	41	the	the	DET
cana-651	186	42	predictive	predictive	ADJ
cana-651	186	43	modeling	modeling	NOUN
cana-651	186	44	of	of	ADP
cana-651	186	45	the	the	DET
cana-651	186	46	models	model	NOUN
cana-651	186	47	.	.	PUNCT
cana-651	187	1	here	here	ADV
cana-651	187	2	,	,	PUNCT
cana-651	187	3	the	the	DET
cana-651	187	4	most	most	ADV
cana-651	187	5	commonly	commonly	ADV
cana-651	187	6	and	and	CCONJ
cana-651	187	7	enhancive	enhancive	ADJ
cana-651	187	8	used	use	VERB
cana-651	187	9	method	method	NOUN
cana-651	187	10	was	be	AUX
cana-651	187	11	the	the	DET
cana-651	187	12	stochastic	stochastic	ADJ
cana-651	187	13	gradient	gradient	ADJ
cana-651	187	14	descent	descent	NOUN
cana-651	187	15	method	method	NOUN
cana-651	187	16	for	for	ADP
cana-651	187	17	optimizing	optimize	VERB
cana-651	187	18	the	the	DET
cana-651	187	19	proposed	propose	VERB
cana-651	187	20	model	model	NOUN
cana-651	187	21	.	.	PUNCT
cana-651	188	1	the	the	DET
cana-651	188	2	model	model	NOUN
cana-651	188	3	was	be	AUX
cana-651	188	4	trained	train	VERB
cana-651	188	5	on	on	ADP
cana-651	188	6	the	the	DET
cana-651	188	7	count	count	NOUN
cana-651	188	8	of	of	ADP
cana-651	188	9	100	100	NUM
cana-651	188	10	epochs	epoch	NOUN
cana-651	188	11	with	with	ADP
cana-651	188	12	a	a	DET
cana-651	188	13	dropout	dropout	NOUN
cana-651	188	14	of	of	ADP
cana-651	188	15	0.5	0.5	NUM
cana-651	188	16	and	and	CCONJ
cana-651	188	17	batch	batch	NOUN
cana-651	188	18	size	size	NOUN
cana-651	188	19	16	16	NUM
cana-651	188	20	.	.	PUNCT
cana-651	189	1	after	after	ADP
cana-651	189	2	completion	completion	NOUN
cana-651	189	3	of	of	ADP
cana-651	189	4	model	model	NOUN
cana-651	189	5	training	training	NOUN
cana-651	189	6	,	,	PUNCT
cana-651	189	7	it	it	PRON
cana-651	189	8	was	be	AUX
cana-651	189	9	been	be	AUX
cana-651	189	10	tested	test	VERB
cana-651	189	11	on	on	ADP
cana-651	189	12	the	the	DET
cana-651	189	13	basis	basis	NOUN
cana-651	189	14	of	of	ADP
cana-651	189	15	all	all	DET
cana-651	189	16	three	three	NUM
cana-651	189	17	classes	class	NOUN
cana-651	189	18	along	along	ADV
cana-651	189	19	with	with	ADP
cana-651	189	20	normal	normal	ADJ
cana-651	189	21	and	and	CCONJ
cana-651	189	22	abnormal	abnormal	ADJ
cana-651	189	23	behavior	behavior	NOUN
cana-651	189	24	detection	detection	NOUN
cana-651	189	25	classifiers	classifier	NOUN
cana-651	189	26	.	.	PUNCT
cana-651	190	1	3	3	X
cana-651	190	2	.	.	X
cana-651	190	3	dataset	dataset	VERB
cana-651	190	4	most	most	ADJ
cana-651	190	5	of	of	ADP
cana-651	190	6	the	the	DET
cana-651	190	7	existing	exist	VERB
cana-651	190	8	systems	system	NOUN
cana-651	190	9	used	use	VERB
cana-651	190	10	the	the	DET
cana-651	190	11	ucsd	ucsd	PROPN
cana-651	190	12	dataset	dataset	PROPN
cana-651	190	13	for	for	ADP
cana-651	190	14	anomaly	anomaly	NOUN
cana-651	190	15	detection	detection	NOUN
cana-651	190	16	from	from	ADP
cana-651	190	17	video	video	NOUN
cana-651	190	18	surveillance	surveillance	NOUN
cana-651	190	19	.	.	PUNCT
cana-651	191	1	ucsd	ucsd	PROPN
cana-651	191	2	dataset	dataset	PROPN
cana-651	191	3	is	be	AUX
cana-651	191	4	divided	divide	VERB
cana-651	191	5	into	into	ADP
cana-651	191	6	two	two	NUM
cana-651	191	7	categories	category	NOUN
cana-651	191	8	as	as	ADP
cana-651	191	9	ucsd	ucsd	PROPN
cana-651	191	10	pedestrian	pedestrian	PROPN
cana-651	191	11	1	1	NUM
cana-651	191	12	and	and	CCONJ
cana-651	191	13	ucsd	ucsd	PROPN
cana-651	191	14	pedestrian	pedestrian	NOUN
cana-651	191	15	2	2	NUM
cana-651	192	1	[	[	X
cana-651	192	2	3,9	3,9	NUM
cana-651	192	3	]	]	PUNCT
cana-651	192	4	.	.	PUNCT
cana-651	193	1	some	some	PRON
cana-651	193	2	of	of	ADP
cana-651	193	3	the	the	DET
cana-651	193	4	models	model	NOUN
cana-651	193	5	also	also	ADV
cana-651	193	6	used	use	VERB
cana-651	193	7	the	the	DET
cana-651	193	8	cuhk	cuhk	NOUN
cana-651	193	9	dataset	dataset	VERB
cana-651	194	1	[	[	X
cana-651	194	2	6	6	NUM
cana-651	194	3	]	]	PUNCT
cana-651	194	4	.	.	PUNCT
cana-651	195	1	the	the	DET
cana-651	195	2	proposed	propose	VERB
cana-651	195	3	system	system	NOUN
cana-651	195	4	was	be	AUX
cana-651	195	5	trained	train	VERB
cana-651	195	6	and	and	CCONJ
cana-651	195	7	tested	test	VERB
cana-651	195	8	on	on	ADP
cana-651	195	9	the	the	DET
cana-651	195	10	ucf	ucf	PROPN
cana-651	195	11	anomaly	anomaly	NOUN
cana-651	195	12	dataset	dataset	NOUN
cana-651	195	13	which	which	PRON
cana-651	195	14	consists	consist	VERB
cana-651	195	15	of	of	ADP
cana-651	195	16	a	a	DET
cana-651	195	17	total	total	NOUN
cana-651	195	18	of	of	ADP
cana-651	195	19	128	128	NUM
cana-651	195	20	hours	hour	NOUN
cana-651	195	21	of	of	ADP
cana-651	195	22	watch	watch	NOUN
cana-651	195	23	time	time	NOUN
cana-651	195	24	.	.	PUNCT
cana-651	196	1	the	the	DET
cana-651	196	2	reference	reference	NOUN
cana-651	196	3	link	link	NOUN
cana-651	196	4	of	of	ADP
cana-651	196	5	the	the	DET
cana-651	196	6	same	same	ADJ
cana-651	196	7	dataset	dataset	NOUN
cana-651	196	8	can	can	AUX
cana-651	196	9	be	be	AUX
cana-651	196	10	accessed	access	VERB
cana-651	196	11	easily	easily	ADV
cana-651	196	12	at[16	at[16	PROPN
cana-651	196	13	]	]	PUNCT
cana-651	196	14	.	.	PUNCT
cana-651	197	1	videos	video	NOUN
cana-651	197	2	of	of	ADP
cana-651	197	3	the	the	DET
cana-651	197	4	dataset	dataset	NOUN
cana-651	197	5	were	be	AUX
cana-651	197	6	untrimmed	untrimme	VERB
cana-651	197	7	and	and	CCONJ
cana-651	197	8	sourced	source	VERB
cana-651	197	9	from	from	ADP
cana-651	197	10	real	real	ADJ
cana-651	197	11	-	-	PUNCT
cana-651	197	12	time	time	NOUN
cana-651	197	13	video	video	NOUN
cana-651	197	14	surveillance	surveillance	NOUN
cana-651	197	15	.	.	PUNCT
cana-651	198	1	the	the	DET
cana-651	198	2	dataset	dataset	NOUN
cana-651	198	3	consisted	consist	VERB
cana-651	198	4	of	of	ADP
cana-651	198	5	a	a	DET
cana-651	198	6	total	total	NOUN
cana-651	198	7	of	of	ADP
cana-651	198	8	13	13	NUM
cana-651	198	9	distinct	distinct	ADJ
cana-651	198	10	anomaly	anomaly	NOUN
cana-651	198	11	classes	class	NOUN
cana-651	198	12	such	such	ADJ
cana-651	198	13	as	as	ADP
cana-651	198	14	arson	arson	NOUN
cana-651	198	15	,	,	PUNCT
cana-651	198	16	assaults	assault	NOUN
cana-651	198	17	,	,	PUNCT
cana-651	198	18	arrests	arrest	NOUN
cana-651	198	19	,	,	PUNCT
cana-651	198	20	road	road	NOUN
cana-651	198	21	accidents	accident	NOUN
cana-651	198	22	,	,	PUNCT
cana-651	198	23	explosions	explosion	NOUN
cana-651	198	24	,	,	PUNCT
cana-651	198	25	burglary	burglary	NOUN
cana-651	198	26	,	,	PUNCT
cana-651	198	27	fighting	fighting	NOUN
cana-651	198	28	,	,	PUNCT
cana-651	198	29	abuse	abuse	NOUN
cana-651	198	30	,	,	PUNCT
cana-651	198	31	robbery	robbery	NOUN
cana-651	198	32	,	,	PUNCT
cana-651	198	33	shooting	shooting	NOUN
cana-651	198	34	,	,	PUNCT
cana-651	198	35	shoplifting	shoplifting	NOUN
cana-651	198	36	,	,	PUNCT
cana-651	198	37	stealing	stealing	NOUN
cana-651	198	38	,	,	PUNCT
cana-651	198	39	vandalism	vandalism	NOUN
cana-651	198	40	,	,	PUNCT
cana-651	198	41	etc	etc	X
cana-651	198	42	.	.	X
cana-651	198	43	communications	communication	NOUN
cana-651	198	44	on	on	ADP
cana-651	198	45	applied	apply	VERB
cana-651	198	46	nonlinear	nonlinear	ADJ
cana-651	198	47	analysis	analysis	NOUN
cana-651	198	48	issn	issn	NOUN
cana-651	198	49	:	:	PUNCT
cana-651	198	50	1074	1074	NUM
cana-651	198	51	-	-	PUNCT
cana-651	198	52	133x	133x	NUM
cana-651	198	53	vol	vol	NOUN
cana-651	198	54	31	31	NUM
cana-651	198	55	no	no	NOUN
cana-651	198	56	.	.	PUNCT
cana-651	199	1	2s	2s	NUM
cana-651	199	2	(	(	PUNCT
cana-651	199	3	2024	2024	NUM
cana-651	199	4	)	)	PUNCT
cana-651	199	5	315	315	NUM
cana-651	199	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-651	199	7	4	4	NUM
cana-651	199	8	.	.	NOUN
cana-651	199	9	results	result	VERB
cana-651	199	10	video	video	NOUN
cana-651	199	11	inputs	input	NOUN
cana-651	199	12	were	be	AUX
cana-651	199	13	processed	process	VERB
cana-651	199	14	correctly	correctly	ADV
cana-651	199	15	and	and	CCONJ
cana-651	199	16	the	the	DET
cana-651	199	17	proposed	propose	VERB
cana-651	199	18	model	model	NOUN
cana-651	199	19	depicts	depict	VERB
cana-651	199	20	abnormal	abnormal	ADJ
cana-651	199	21	behavior	behavior	NOUN
cana-651	199	22	from	from	ADP
cana-651	199	23	normal	normal	ADJ
cana-651	199	24	behavior	behavior	NOUN
cana-651	199	25	by	by	ADP
cana-651	199	26	showing	show	VERB
cana-651	199	27	the	the	DET
cana-651	199	28	type	type	NOUN
cana-651	199	29	of	of	ADP
cana-651	199	30	anomaly	anomaly	NOUN
cana-651	199	31	on	on	ADP
cana-651	199	32	screen	screen	NOUN
cana-651	199	33	in	in	ADP
cana-651	199	34	real	real	ADJ
cana-651	199	35	-	-	PUNCT
cana-651	199	36	time	time	NOUN
cana-651	199	37	with	with	ADP
cana-651	199	38	an	an	DET
cana-651	199	39	accuracy	accuracy	NOUN
cana-651	199	40	of	of	ADP
cana-651	199	41	95.33	95.33	NUM
cana-651	199	42	%	%	NOUN
cana-651	199	43	.	.	PUNCT
cana-651	200	1	the	the	DET
cana-651	200	2	model	model	NOUN
cana-651	200	3	was	be	AUX
cana-651	200	4	trained	train	VERB
cana-651	200	5	for	for	ADP
cana-651	200	6	an	an	DET
cana-651	200	7	overall	overall	ADJ
cana-651	200	8	100	100	NUM
cana-651	200	9	epochs	epoch	NOUN
cana-651	200	10	which	which	PRON
cana-651	200	11	was	be	AUX
cana-651	200	12	a	a	DET
cana-651	200	13	higher	high	ADJ
cana-651	200	14	metric	metric	NOUN
cana-651	200	15	than	than	ADP
cana-651	200	16	most	most	ADJ
cana-651	200	17	of	of	ADP
cana-651	200	18	the	the	DET
cana-651	200	19	existing	exist	VERB
cana-651	200	20	systems	system	NOUN
cana-651	200	21	.	.	PUNCT
cana-651	201	1	the	the	DET
cana-651	201	2	batch	batch	NOUN
cana-651	201	3	size	size	NOUN
cana-651	201	4	was	be	AUX
cana-651	201	5	16	16	NUM
cana-651	201	6	along	along	ADP
cana-651	201	7	with	with	ADP
cana-651	201	8	a	a	DET
cana-651	201	9	dropout	dropout	NOUN
cana-651	201	10	of	of	ADP
cana-651	201	11	0.5	0.5	NUM
cana-651	201	12	.	.	PUNCT
cana-651	202	1	all	all	DET
cana-651	202	2	the	the	DET
cana-651	202	3	performance	performance	NOUN
cana-651	202	4	and	and	CCONJ
cana-651	202	5	analytics	analytic	NOUN
cana-651	202	6	results	result	NOUN
cana-651	202	7	were	be	AUX
cana-651	202	8	been	be	AUX
cana-651	202	9	carried	carry	VERB
cana-651	202	10	out	out	ADP
cana-651	202	11	and	and	CCONJ
cana-651	202	12	illustrated	illustrate	VERB
cana-651	202	13	as	as	SCONJ
cana-651	202	14	follows	follow	VERB
cana-651	202	15	:	:	PUNCT
cana-651	202	16	figure	figure	VERB
cana-651	202	17	3	3	NUM
cana-651	202	18	:	:	PUNCT
cana-651	202	19	loss	loss	NOUN
cana-651	202	20	graph	graph	NOUN
cana-651	202	21	for	for	ADP
cana-651	202	22	normal	normal	ADJ
cana-651	202	23	vs.	vs.	X
cana-651	202	24	abnormal	abnormal	ADJ
cana-651	202	25	)	)	PUNCT
cana-651	202	26	figure	figure	NOUN
cana-651	202	27	3	3	NUM
cana-651	202	28	shows	show	VERB
cana-651	202	29	the	the	DET
cana-651	202	30	accurate	accurate	ADJ
cana-651	202	31	graph	graph	NOUN
cana-651	202	32	of	of	ADP
cana-651	202	33	total	total	ADJ
cana-651	202	34	loss	loss	NOUN
cana-651	202	35	vs	vs	ADP
cana-651	202	36	total	total	ADJ
cana-651	202	37	validation	validation	NOUN
cana-651	202	38	loss	loss	NOUN
cana-651	202	39	compared	compare	VERB
cana-651	202	40	between	between	ADP
cana-651	202	41	normal	normal	ADJ
cana-651	202	42	and	and	CCONJ
cana-651	202	43	abnormal	abnormal	ADJ
cana-651	202	44	behavior	behavior	NOUN
cana-651	202	45	.	.	PUNCT
cana-651	203	1	figure	figure	VERB
cana-651	203	2	4	4	NUM
cana-651	203	3	:	:	PUNCT
cana-651	203	4	accuracy	accuracy	NOUN
cana-651	203	5	graph	graph	NOUN
cana-651	203	6	for	for	ADP
cana-651	203	7	normal	normal	ADJ
cana-651	203	8	vs.	vs.	CCONJ
cana-651	203	9	abnormal	abnormal	ADJ
cana-651	203	10	figure	figure	NOUN
cana-651	203	11	4	4	NUM
cana-651	203	12	shows	show	VERB
cana-651	203	13	the	the	DET
cana-651	203	14	accurate	accurate	ADJ
cana-651	203	15	graph	graph	NOUN
cana-651	203	16	of	of	ADP
cana-651	203	17	total	total	ADJ
cana-651	203	18	accuracy	accuracy	NOUN
cana-651	203	19	vs.	vs.	ADP
cana-651	203	20	total	total	ADJ
cana-651	203	21	validation	validation	NOUN
cana-651	203	22	accuracy	accuracy	NOUN
cana-651	203	23	compared	compare	VERB
cana-651	203	24	between	between	ADP
cana-651	203	25	normal	normal	ADJ
cana-651	203	26	and	and	CCONJ
cana-651	203	27	abnormal	abnormal	ADJ
cana-651	203	28	behavior	behavior	NOUN
cana-651	203	29	.	.	PUNCT
cana-651	204	1	communications	communication	NOUN
cana-651	204	2	on	on	ADP
cana-651	204	3	applied	apply	VERB
cana-651	204	4	nonlinear	nonlinear	ADJ
cana-651	204	5	analysis	analysis	NOUN
cana-651	204	6	issn	issn	NOUN
cana-651	204	7	:	:	PUNCT
cana-651	204	8	1074	1074	NUM
cana-651	204	9	-	-	PUNCT
cana-651	204	10	133x	133x	NUM
cana-651	204	11	vol	vol	NOUN
cana-651	204	12	31	31	NUM
cana-651	204	13	no	no	NOUN
cana-651	204	14	.	.	PUNCT
cana-651	205	1	2s	2s	NUM
cana-651	205	2	(	(	PUNCT
cana-651	205	3	2024	2024	NUM
cana-651	205	4	)	)	PUNCT
cana-651	205	5	316	316	NUM
cana-651	205	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-651	205	7	figure	figure	NOUN
cana-651	205	8	5	5	NUM
cana-651	205	9	:	:	PUNCT
cana-651	205	10	confusion	confusion	NOUN
cana-651	205	11	matrix	matrix	NOUN
cana-651	205	12	for	for	ADP
cana-651	205	13	normal	normal	ADJ
cana-651	205	14	vs.	vs.	CCONJ
cana-651	205	15	abnormal	abnormal	ADJ
cana-651	205	16	figure	figure	NOUN
cana-651	205	17	5	5	NUM
cana-651	205	18	shows	show	VERB
cana-651	205	19	the	the	DET
cana-651	205	20	confusion	confusion	NOUN
cana-651	205	21	matrix	matrix	NOUN
cana-651	205	22	made	make	VERB
cana-651	205	23	for	for	ADP
cana-651	205	24	the	the	DET
cana-651	205	25	normal	normal	ADJ
cana-651	205	26	and	and	CCONJ
cana-651	205	27	abnormal	abnormal	ADJ
cana-651	205	28	behavior	behavior	NOUN
cana-651	205	29	of	of	ADP
cana-651	205	30	the	the	DET
cana-651	205	31	video	video	NOUN
cana-651	205	32	input	input	NOUN
cana-651	205	33	which	which	PRON
cana-651	205	34	is	be	AUX
cana-651	205	35	the	the	DET
cana-651	205	36	accurate	accurate	ADJ
cana-651	205	37	prediction	prediction	NOUN
cana-651	205	38	of	of	ADP
cana-651	205	39	each	each	DET
cana-651	205	40	entity	entity	NOUN
cana-651	205	41	.	.	PUNCT
cana-651	206	1	figure	figure	VERB
cana-651	206	2	6	6	NUM
cana-651	206	3	:	:	PUNCT
cana-651	206	4	loss	loss	NOUN
cana-651	206	5	graph	graph	NOUN
cana-651	206	6	for	for	ADP
cana-651	206	7	classes	class	NOUN
cana-651	206	8	of	of	ADP
cana-651	206	9	anomaly	anomaly	NOUN
cana-651	206	10	figure	figure	NOUN
cana-651	206	11	6	6	NUM
cana-651	206	12	shows	show	VERB
cana-651	206	13	the	the	DET
cana-651	206	14	accurate	accurate	ADJ
cana-651	206	15	graph	graph	NOUN
cana-651	206	16	of	of	ADP
cana-651	206	17	total	total	ADJ
cana-651	206	18	loss	loss	NOUN
cana-651	206	19	vs.	vs.	ADP
cana-651	206	20	total	total	ADJ
cana-651	206	21	validation	validation	NOUN
cana-651	206	22	loss	loss	NOUN
cana-651	206	23	for	for	ADP
cana-651	206	24	the	the	DET
cana-651	206	25	defined	define	VERB
cana-651	206	26	three	three	NUM
cana-651	206	27	classes	class	NOUN
cana-651	206	28	:	:	PUNCT
cana-651	206	29	fighting	fighting	NOUN
cana-651	206	30	,	,	PUNCT
cana-651	206	31	road	road	NOUN
cana-651	206	32	accidents	accident	NOUN
cana-651	206	33	,	,	PUNCT
cana-651	206	34	and	and	CCONJ
cana-651	206	35	explosion	explosion	NOUN
cana-651	206	36	.	.	PUNCT
cana-651	207	1	figure	figure	VERB
cana-651	207	2	7	7	NUM
cana-651	207	3	:	:	PUNCT
cana-651	207	4	accuracy	accuracy	NOUN
cana-651	207	5	graph	graph	NOUN
cana-651	207	6	for	for	ADP
cana-651	207	7	classes	class	NOUN
cana-651	207	8	of	of	ADP
cana-651	207	9	anomaly	anomaly	NOUN
cana-651	207	10	communications	communication	NOUN
cana-651	207	11	on	on	ADP
cana-651	207	12	applied	apply	VERB
cana-651	207	13	nonlinear	nonlinear	ADJ
cana-651	207	14	analysis	analysis	NOUN
cana-651	207	15	issn	issn	NOUN
cana-651	207	16	:	:	PUNCT
cana-651	207	17	1074	1074	NUM
cana-651	207	18	-	-	PUNCT
cana-651	207	19	133x	133x	NUM
cana-651	207	20	vol	vol	NOUN
cana-651	207	21	31	31	NUM
cana-651	207	22	no	no	NOUN
cana-651	207	23	.	.	PUNCT
cana-651	208	1	2s	2s	NUM
cana-651	208	2	(	(	PUNCT
cana-651	208	3	2024	2024	NUM
cana-651	208	4	)	)	PUNCT
cana-651	208	5	317	317	NUM
cana-651	208	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-651	208	7	figure	figure	NOUN
cana-651	208	8	7	7	NUM
cana-651	208	9	shows	show	VERB
cana-651	208	10	the	the	DET
cana-651	208	11	accurate	accurate	ADJ
cana-651	208	12	graph	graph	NOUN
cana-651	208	13	of	of	ADP
cana-651	208	14	total	total	ADJ
cana-651	208	15	accuracy	accuracy	NOUN
cana-651	208	16	vs.	vs.	ADP
cana-651	208	17	total	total	ADJ
cana-651	208	18	validation	validation	NOUN
cana-651	208	19	accuracy	accuracy	NOUN
cana-651	208	20	for	for	ADP
cana-651	208	21	the	the	DET
cana-651	208	22	defined	define	VERB
cana-651	208	23	three	three	NUM
cana-651	208	24	classes	class	NOUN
cana-651	208	25	named	name	VERB
cana-651	208	26	as	as	ADP
cana-651	208	27	fighting	fighting	NOUN
cana-651	208	28	,	,	PUNCT
cana-651	208	29	road	road	NOUN
cana-651	208	30	accidents	accident	NOUN
cana-651	208	31	,	,	PUNCT
cana-651	208	32	and	and	CCONJ
cana-651	208	33	explosion	explosion	NOUN
cana-651	208	34	.	.	PUNCT
cana-651	209	1	figure	figure	VERB
cana-651	209	2	8	8	NUM
cana-651	209	3	:	:	PUNCT
cana-651	209	4	confusion	confusion	NOUN
cana-651	209	5	matrix	matrix	NOUN
cana-651	209	6	for	for	ADP
cana-651	209	7	classes	class	NOUN
cana-651	209	8	of	of	ADP
cana-651	209	9	anomaly	anomaly	NOUN
cana-651	209	10	figure	figure	NOUN
cana-651	209	11	8	8	NUM
cana-651	209	12	shows	show	VERB
cana-651	209	13	the	the	DET
cana-651	209	14	confusion	confusion	NOUN
cana-651	209	15	matrix	matrix	NOUN
cana-651	209	16	for	for	ADP
cana-651	209	17	the	the	DET
cana-651	209	18	defined	define	VERB
cana-651	209	19	three	three	NUM
cana-651	209	20	classes	class	NOUN
cana-651	209	21	named	name	VERB
cana-651	209	22	as	as	ADP
cana-651	209	23	fighting	fighting	NOUN
cana-651	209	24	,	,	PUNCT
cana-651	209	25	road	road	NOUN
cana-651	209	26	accidents	accident	NOUN
cana-651	209	27	,	,	PUNCT
cana-651	209	28	and	and	CCONJ
cana-651	209	29	explosion	explosion	NOUN
cana-651	209	30	which	which	PRON
cana-651	209	31	is	be	AUX
cana-651	209	32	the	the	DET
cana-651	209	33	accurate	accurate	ADJ
cana-651	209	34	prediction	prediction	NOUN
cana-651	209	35	of	of	ADP
cana-651	209	36	each	each	DET
cana-651	209	37	entity	entity	NOUN
cana-651	209	38	.	.	PUNCT
cana-651	210	1	table	table	NOUN
cana-651	210	2	2	2	NUM
cana-651	210	3	:	:	PUNCT
cana-651	210	4	performance	performance	NOUN
cana-651	210	5	metrics	metric	NOUN
cana-651	210	6	of	of	ADP
cana-651	210	7	the	the	DET
cana-651	210	8	existing	exist	VERB
cana-651	210	9	model	model	NOUN
cana-651	210	10	class	class	NOUN
cana-651	210	11	precision	precision	NOUN
cana-651	210	12	recall	recall	NOUN
cana-651	210	13	f	f	NOUN
cana-651	210	14	-	-	PUNCT
cana-651	210	15	score	score	NOUN
cana-651	210	16	support	support	NOUN
cana-651	210	17	anomaly	anomaly	VERB
cana-651	210	18	90.23	90.23	NUM
cana-651	210	19	91.58	91.58	NUM
cana-651	210	20	90.54	90.54	NUM
cana-651	210	21	25,584	25,584	NUM
cana-651	210	22	non	non	ADJ
cana-651	210	23	-	-	NOUN
cana-651	210	24	anomaly	anomaly	ADJ
cana-651	210	25	91.45	91.45	NUM
cana-651	210	26	90.02	90.02	NUM
cana-651	210	27	90.96	90.96	NUM
cana-651	210	28	36,897	36,897	NUM
cana-651	210	29	table	table	NOUN
cana-651	210	30	3	3	NUM
cana-651	210	31	:	:	PUNCT
cana-651	210	32	performance	performance	NOUN
cana-651	210	33	metrics	metric	NOUN
cana-651	210	34	of	of	ADP
cana-651	210	35	the	the	DET
cana-651	210	36	proposed	propose	VERB
cana-651	210	37	model	model	NOUN
cana-651	210	38	class	class	PROPN
cana-651	210	39	precision	precision	NOUN
cana-651	210	40	recall	recall	VERB
cana-651	210	41	f	f	NOUN
cana-651	210	42	-	-	PUNCT
cana-651	210	43	score	score	NOUN
cana-651	210	44	support	support	NOUN
cana-651	210	45	anomaly	anomaly	VERB
cana-651	210	46	95.23	95.23	NUM
cana-651	210	47	94.86	94.86	NUM
cana-651	210	48	95.78	95.78	NUM
cana-651	210	49	225	225	NUM
cana-651	210	50	non	non	ADJ
cana-651	210	51	-	-	NOUN
cana-651	210	52	anomaly	anomaly	ADJ
cana-651	210	53	89.65	89.65	NUM
cana-651	210	54	90.45	90.45	NUM
cana-651	210	55	90.56	90.56	NUM
cana-651	210	56	120	120	NUM
cana-651	210	57	in	in	ADP
cana-651	210	58	table	table	NOUN
cana-651	210	59	2	2	NUM
cana-651	210	60	and	and	CCONJ
cana-651	210	61	table	table	NOUN
cana-651	210	62	3	3	NUM
cana-651	210	63	,	,	PUNCT
cana-651	210	64	metrics	metric	NOUN
cana-651	210	65	evaluation	evaluation	NOUN
cana-651	210	66	of	of	ADP
cana-651	210	67	the	the	DET
cana-651	210	68	existing	exist	VERB
cana-651	210	69	model	model	NOUN
cana-651	210	70	for	for	ADP
cana-651	210	71	the	the	DET
cana-651	210	72	year	year	NOUN
cana-651	210	73	2023	2023	NUM
cana-651	210	74	and	and	CCONJ
cana-651	210	75	the	the	DET
cana-651	210	76	proposed	propose	VERB
cana-651	210	77	model	model	NOUN
cana-651	210	78	of	of	ADP
cana-651	210	79	2023	2023	NUM
cana-651	210	80	have	have	AUX
cana-651	210	81	been	be	AUX
cana-651	210	82	compared	compare	VERB
cana-651	210	83	.	.	PUNCT
cana-651	211	1	metrics	metric	NOUN
cana-651	211	2	compared	compare	VERB
cana-651	211	3	here	here	ADV
cana-651	211	4	are	be	AUX
cana-651	211	5	precision	precision	NOUN
cana-651	211	6	,	,	PUNCT
cana-651	211	7	recall	recall	NOUN
cana-651	211	8	,	,	PUNCT
cana-651	211	9	f	f	NOUN
cana-651	211	10	-	-	PUNCT
cana-651	211	11	core	core	NOUN
cana-651	211	12	,	,	PUNCT
cana-651	211	13	and	and	CCONJ
cana-651	211	14	support	support	NOUN
cana-651	211	15	.	.	PUNCT
cana-651	212	1	by	by	ADP
cana-651	212	2	comparing	compare	VERB
cana-651	212	3	and	and	CCONJ
cana-651	212	4	analyzing	analyze	VERB
cana-651	212	5	both	both	DET
cana-651	212	6	metrics	metric	NOUN
cana-651	212	7	,	,	PUNCT
cana-651	212	8	it	it	PRON
cana-651	212	9	has	have	AUX
cana-651	212	10	been	be	AUX
cana-651	212	11	clearly	clearly	ADV
cana-651	212	12	seen	see	VERB
cana-651	212	13	that	that	SCONJ
cana-651	212	14	the	the	DET
cana-651	212	15	metrics	metric	NOUN
cana-651	212	16	performance	performance	NOUN
cana-651	212	17	of	of	ADP
cana-651	212	18	the	the	DET
cana-651	212	19	proposed	propose	VERB
cana-651	212	20	model	model	NOUN
cana-651	212	21	was	be	AUX
cana-651	212	22	better	well	ADJ
cana-651	212	23	than	than	ADP
cana-651	212	24	the	the	DET
cana-651	212	25	existing	exist	VERB
cana-651	212	26	model	model	NOUN
cana-651	212	27	.	.	PUNCT
cana-651	213	1	communications	communication	NOUN
cana-651	213	2	on	on	ADP
cana-651	213	3	applied	apply	VERB
cana-651	213	4	nonlinear	nonlinear	ADJ
cana-651	213	5	analysis	analysis	NOUN
cana-651	213	6	issn	issn	NOUN
cana-651	213	7	:	:	PUNCT
cana-651	213	8	1074	1074	NUM
cana-651	213	9	-	-	PUNCT
cana-651	213	10	133x	133x	NUM
cana-651	213	11	vol	vol	NOUN
cana-651	213	12	31	31	NUM
cana-651	213	13	no	no	NOUN
cana-651	213	14	.	.	PUNCT
cana-651	214	1	2s	2s	NUM
cana-651	214	2	(	(	PUNCT
cana-651	214	3	2024	2024	NUM
cana-651	214	4	)	)	PUNCT
cana-651	214	5	318	318	NUM
cana-651	214	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-651	214	7	table	table	NOUN
cana-651	214	8	4	4	NUM
cana-651	214	9	:	:	PUNCT
cana-651	214	10	output	output	VERB
cana-651	214	11	comparison	comparison	NOUN
cana-651	214	12	with	with	ADP
cana-651	214	13	existing	exist	VERB
cana-651	214	14	models	model	NOUN
cana-651	214	15	reference	reference	NOUN
cana-651	214	16	algorithm	algorithm	NOUN
cana-651	214	17	used	use	VERB
cana-651	214	18	accuracy	accuracy	NOUN
cana-651	214	19	2017[1	2017[1	NUM
cana-651	214	20	]	]	X
cana-651	214	21	kernel	kernel	X
cana-651	214	22	fuzzy	fuzzy	ADJ
cana-651	214	23	c	c	NOUN
cana-651	214	24	-	-	PUNCT
cana-651	214	25	means	mean	VERB
cana-651	214	26	72.64	72.64	NUM
cana-651	214	27	%	%	NOUN
cana-651	214	28	2018[3	2018[3	NOUN
cana-651	214	29	]	]	X
cana-651	214	30	cnn	cnn	PROPN
cana-651	214	31	+	+	CCONJ
cana-651	214	32	convlstm	convlstm	NOUN
cana-651	214	33	74.82	74.82	NUM
cana-651	214	34	%	%	NOUN
cana-651	214	35	2018[4	2018[4	NUM
cana-651	214	36	]	]	X
cana-651	214	37	mccnn	mccnn	NOUN
cana-651	214	38	89.40	89.40	NUM
cana-651	214	39	%	%	NOUN
cana-651	214	40	2019[6	2019[6	ADP
cana-651	214	41	]	]	X
cana-651	214	42	attention	attention	NOUN
cana-651	214	43	-	-	PUNCT
cana-651	214	44	driven	drive	VERB
cana-651	214	45	loss	loss	NOUN
cana-651	214	46	83.90	83.90	NUM
cana-651	214	47	%	%	NOUN
cana-651	214	48	2020[7	2020[7	NUM
cana-651	214	49	]	]	X
cana-651	215	1	cnn	cnn	PROPN
cana-651	216	1	+	+	CCONJ
cana-651	216	2	lstm	lstm	PROPN
cana-651	216	3	87.15	87.15	NUM
cana-651	216	4	%	%	NOUN
cana-651	216	5	2021[10	2021[10	NUM
cana-651	216	6	]	]	PUNCT
cana-651	216	7	resnet-50	resnet-50	PROPN
cana-651	216	8	79.69	79.69	NUM
cana-651	216	9	%	%	NOUN
cana-651	216	10	2022[11	2022[11	NUM
cana-651	216	11	]	]	PUNCT
cana-651	216	12	(	(	PUNCT
cana-651	216	13	hevc)-h265	hevc)-h265	NOUN
cana-651	216	14	90.16	90.16	NUM
cana-651	216	15	%	%	NOUN
cana-651	216	16	2022[12	2022[12	NUM
cana-651	216	17	]	]	X
cana-651	216	18	cnn	cnn	PROPN
cana-651	216	19	+	+	CCONJ
cana-651	216	20	lstm	lstm	PROPN
cana-651	216	21	93.00	93.00	NUM
cana-651	216	22	%	%	NOUN
cana-651	216	23	2023[13	2023[13	NUM
cana-651	216	24	]	]	PUNCT
cana-651	216	25	acnn	acnn	VERB
cana-651	216	26	90.80	90.80	NUM
cana-651	216	27	%	%	NOUN
cana-651	216	28	proposed	propose	VERB
cana-651	216	29	model	model	NOUN
cana-651	216	30	mobilenet+	mobilenet+	VERB
cana-651	216	31	bi	bi	NOUN
cana-651	216	32	-	-	ADJ
cana-651	216	33	lstm	lstm	ADJ
cana-651	216	34	95.33	95.33	NUM
cana-651	216	35	%	%	NOUN
cana-651	216	36	table	table	NOUN
cana-651	216	37	4	4	NUM
cana-651	216	38	shows	show	VERB
cana-651	216	39	the	the	DET
cana-651	216	40	predictive	predictive	ADJ
cana-651	216	41	comparison	comparison	NOUN
cana-651	216	42	of	of	ADP
cana-651	216	43	the	the	DET
cana-651	216	44	results	result	NOUN
cana-651	216	45	of	of	ADP
cana-651	216	46	the	the	DET
cana-651	216	47	existing	exist	VERB
cana-651	216	48	model	model	NOUN
cana-651	216	49	with	with	ADP
cana-651	216	50	the	the	DET
cana-651	216	51	proposed	propose	VERB
cana-651	216	52	model	model	NOUN
cana-651	216	53	of	of	ADP
cana-651	216	54	this	this	DET
cana-651	216	55	paper	paper	NOUN
cana-651	216	56	.	.	PUNCT
cana-651	217	1	models	model	NOUN
cana-651	217	2	were	be	AUX
cana-651	217	3	taken	take	VERB
cana-651	217	4	sequentially	sequentially	ADV
cana-651	217	5	year	year	NOUN
cana-651	217	6	-	-	PUNCT
cana-651	217	7	wise	wise	ADJ
cana-651	217	8	for	for	ADP
cana-651	217	9	comparison	comparison	NOUN
cana-651	217	10	.	.	PUNCT
cana-651	218	1	it	it	PRON
cana-651	218	2	was	be	AUX
cana-651	218	3	clearly	clearly	ADV
cana-651	218	4	seen	see	VERB
cana-651	218	5	from	from	ADP
cana-651	218	6	the	the	DET
cana-651	218	7	outcome	outcome	NOUN
cana-651	218	8	that	that	SCONJ
cana-651	218	9	the	the	DET
cana-651	218	10	accuracy	accuracy	NOUN
cana-651	218	11	of	of	ADP
cana-651	218	12	existing	exist	VERB
cana-651	218	13	models	model	NOUN
cana-651	218	14	ranged	range	VERB
cana-651	218	15	from	from	ADP
cana-651	218	16	70	70	NUM
cana-651	218	17	%	%	NOUN
cana-651	218	18	to	to	ADP
cana-651	218	19	92	92	NUM
cana-651	218	20	%	%	NOUN
cana-651	218	21	on	on	ADP
cana-651	218	22	average	average	ADJ
cana-651	218	23	.	.	PUNCT
cana-651	219	1	the	the	DET
cana-651	219	2	final	final	ADJ
cana-651	219	3	outcome	outcome	NOUN
cana-651	219	4	of	of	ADP
cana-651	219	5	the	the	DET
cana-651	219	6	proposed	propose	VERB
cana-651	219	7	model	model	NOUN
cana-651	219	8	shows	show	VERB
cana-651	219	9	that	that	SCONJ
cana-651	219	10	the	the	DET
cana-651	219	11	accuracy	accuracy	NOUN
cana-651	219	12	of	of	ADP
cana-651	219	13	the	the	DET
cana-651	219	14	proposed	propose	VERB
cana-651	219	15	system	system	NOUN
cana-651	219	16	was	be	AUX
cana-651	219	17	high	high	ADJ
cana-651	219	18	compared	compare	VERB
cana-651	219	19	to	to	ADP
cana-651	219	20	the	the	DET
cana-651	219	21	existing	exist	VERB
cana-651	219	22	system	system	NOUN
cana-651	219	23	by	by	ADP
cana-651	219	24	using	use	VERB
cana-651	219	25	mobilenet	mobilenet	NOUN
cana-651	219	26	and	and	CCONJ
cana-651	219	27	bi	bi	ADJ
cana-651	219	28	-	-	ADJ
cana-651	219	29	directional	directional	ADJ
cana-651	219	30	long	long	ADJ
cana-651	219	31	short	short	ADJ
cana-651	219	32	term	term	NOUN
cana-651	219	33	memory	memory	NOUN
cana-651	219	34	.	.	PUNCT
cana-651	220	1	4	4	X
cana-651	220	2	.	.	X
cana-651	220	3	conclusion	conclusion	NOUN
cana-651	220	4	the	the	DET
cana-651	220	5	current	current	ADJ
cana-651	220	6	proposed	propose	VERB
cana-651	220	7	model	model	NOUN
cana-651	220	8	of	of	ADP
cana-651	220	9	this	this	DET
cana-651	220	10	paper	paper	NOUN
cana-651	220	11	showed	show	VERB
cana-651	220	12	accurate	accurate	ADJ
cana-651	220	13	results	result	NOUN
cana-651	220	14	and	and	CCONJ
cana-651	220	15	predictions	prediction	NOUN
cana-651	220	16	compared	compare	VERB
cana-651	220	17	to	to	ADP
cana-651	220	18	the	the	DET
cana-651	220	19	existing	exist	VERB
cana-651	220	20	system	system	NOUN
cana-651	220	21	,	,	PUNCT
cana-651	220	22	and	and	CCONJ
cana-651	220	23	most	most	ADJ
cana-651	220	24	of	of	ADP
cana-651	220	25	the	the	DET
cana-651	220	26	existing	exist	VERB
cana-651	220	27	systems	system	NOUN
cana-651	220	28	were	be	AUX
cana-651	220	29	not	not	PART
cana-651	220	30	fully	fully	ADV
cana-651	220	31	engaged	engage	VERB
cana-651	220	32	with	with	ADP
cana-651	220	33	real	real	ADJ
cana-651	220	34	-	-	PUNCT
cana-651	220	35	time	time	NOUN
cana-651	220	36	systems	system	NOUN
cana-651	220	37	.	.	PUNCT
cana-651	221	1	the	the	DET
cana-651	221	2	current	current	ADJ
cana-651	221	3	model	model	NOUN
cana-651	221	4	was	be	AUX
cana-651	221	5	engaged	engage	VERB
cana-651	221	6	with	with	ADP
cana-651	221	7	real	real	ADJ
cana-651	221	8	-	-	PUNCT
cana-651	221	9	time	time	NOUN
cana-651	221	10	devices	device	NOUN
cana-651	221	11	,	,	PUNCT
cana-651	221	12	and	and	CCONJ
cana-651	221	13	the	the	DET
cana-651	221	14	false	false	ADJ
cana-651	221	15	negative	negative	ADJ
cana-651	221	16	rate	rate	NOUN
cana-651	221	17	of	of	ADP
cana-651	221	18	the	the	DET
cana-651	221	19	current	current	ADJ
cana-651	221	20	model	model	NOUN
cana-651	221	21	was	be	AUX
cana-651	221	22	minimal	minimal	ADJ
cana-651	221	23	.	.	PUNCT
cana-651	222	1	the	the	DET
cana-651	222	2	selected	select	VERB
cana-651	222	3	deep	deep	ADJ
cana-651	222	4	learning	learning	NOUN
cana-651	222	5	architectures	architecture	NOUN
cana-651	222	6	,	,	PUNCT
cana-651	222	7	such	such	ADJ
cana-651	222	8	as	as	ADP
cana-651	222	9	mobilenet	mobilenet	NOUN
cana-651	222	10	and	and	CCONJ
cana-651	222	11	bi	bi	ADJ
cana-651	222	12	-	-	ADJ
cana-651	222	13	directional	directional	ADJ
cana-651	222	14	long	long	ADJ
cana-651	222	15	short	short	ADJ
cana-651	222	16	-	-	PUNCT
cana-651	222	17	term	term	NOUN
cana-651	222	18	memory	memory	NOUN
cana-651	222	19	,	,	PUNCT
cana-651	222	20	were	be	AUX
cana-651	222	21	perfectly	perfectly	ADV
cana-651	222	22	suitable	suitable	ADJ
cana-651	222	23	for	for	ADP
cana-651	222	24	predicting	predict	VERB
cana-651	222	25	anomalies	anomaly	NOUN
cana-651	222	26	in	in	ADP
cana-651	222	27	real	real	ADJ
cana-651	222	28	-	-	PUNCT
cana-651	222	29	time	time	NOUN
cana-651	222	30	from	from	ADP
cana-651	222	31	video	video	NOUN
cana-651	222	32	surveillance	surveillance	NOUN
cana-651	222	33	.	.	PUNCT
cana-651	223	1	the	the	DET
cana-651	223	2	proposed	propose	VERB
cana-651	223	3	model	model	NOUN
cana-651	223	4	will	will	AUX
cana-651	223	5	surely	surely	ADV
cana-651	223	6	add	add	VERB
cana-651	223	7	one	one	NUM
cana-651	223	8	layer	layer	NOUN
cana-651	223	9	of	of	ADP
cana-651	223	10	security	security	NOUN
cana-651	223	11	patch	patch	NOUN
cana-651	223	12	to	to	ADP
cana-651	223	13	public	public	ADJ
cana-651	223	14	safety.further	safety.further	PROPN
cana-651	223	15	,	,	PUNCT
cana-651	223	16	the	the	DET
cana-651	223	17	proposed	propose	VERB
cana-651	223	18	model	model	NOUN
cana-651	223	19	can	can	AUX
cana-651	223	20	be	be	AUX
cana-651	223	21	implemented	implement	VERB
cana-651	223	22	on	on	ADP
cana-651	223	23	other	other	ADJ
cana-651	223	24	datasets	dataset	NOUN
cana-651	223	25	for	for	ADP
cana-651	223	26	analyzing	analyze	VERB
cana-651	223	27	the	the	DET
cana-651	223	28	overall	overall	ADJ
cana-651	223	29	performance	performance	NOUN
cana-651	223	30	throughout	throughout	ADP
cana-651	223	31	the	the	DET
cana-651	223	32	datasets	dataset	NOUN
cana-651	223	33	.	.	PUNCT
cana-651	224	1	more	more	ADJ
cana-651	224	2	classes	class	NOUN
cana-651	224	3	can	can	AUX
cana-651	224	4	be	be	AUX
cana-651	224	5	added	add	VERB
cana-651	224	6	for	for	ADP
cana-651	224	7	anomaly	anomaly	NOUN
cana-651	224	8	detection	detection	NOUN
cana-651	224	9	in	in	ADP
cana-651	224	10	real	real	ADJ
cana-651	224	11	time	time	NOUN
cana-651	224	12	.	.	PUNCT
cana-651	225	1	so	so	ADV
cana-651	225	2	,	,	PUNCT
cana-651	225	3	the	the	DET
cana-651	225	4	applications	application	NOUN
cana-651	225	5	and	and	CCONJ
cana-651	225	6	the	the	DET
cana-651	225	7	adaptability	adaptability	NOUN
cana-651	225	8	of	of	ADP
cana-651	225	9	the	the	DET
cana-651	225	10	proposed	propose	VERB
cana-651	225	11	system	system	NOUN
cana-651	225	12	will	will	AUX
cana-651	225	13	be	be	AUX
cana-651	225	14	enhanced	enhance	VERB
cana-651	225	15	.	.	PUNCT
cana-651	226	1	the	the	DET
cana-651	226	2	accuracy	accuracy	NOUN
cana-651	226	3	of	of	ADP
cana-651	226	4	the	the	DET
cana-651	226	5	current	current	ADJ
cana-651	226	6	proposed	propose	VERB
cana-651	226	7	model	model	NOUN
cana-651	226	8	can	can	AUX
cana-651	226	9	be	be	AUX
cana-651	226	10	improved	improve	VERB
cana-651	226	11	with	with	ADP
cana-651	226	12	the	the	DET
cana-651	226	13	new	new	ADJ
cana-651	226	14	and	and	CCONJ
cana-651	226	15	latest	late	ADJ
cana-651	226	16	deep	deep	ADJ
cana-651	226	17	learning	learning	NOUN
cana-651	226	18	architecture	architecture	NOUN
cana-651	226	19	,	,	PUNCT
cana-651	226	20	and	and	CCONJ
cana-651	226	21	more	more	ADV
cana-651	226	22	distinct	distinct	ADJ
cana-651	226	23	classes	class	NOUN
cana-651	226	24	can	can	AUX
cana-651	226	25	be	be	AUX
cana-651	226	26	added	add	VERB
cana-651	226	27	.	.	PUNCT
cana-651	227	1	references	reference	NOUN
cana-651	227	2	[	[	X
cana-651	227	3	1	1	NUM
cana-651	227	4	]	]	X
cana-651	227	5	revathi	revathi	PROPN
cana-651	227	6	,	,	PUNCT
cana-651	227	7	a.	a.	PROPN
cana-651	227	8	&	&	CCONJ
cana-651	227	9	kumar	kumar	PROPN
cana-651	227	10	,	,	PUNCT
cana-651	227	11	dhananjay	dhananjay	PROPN
cana-651	227	12	.	.	PUNCT
cana-651	228	1	(	(	PUNCT
cana-651	228	2	2017	2017	NUM
cana-651	228	3	)	)	PUNCT
cana-651	228	4	.	.	PUNCT
cana-651	229	1	an	an	DET
cana-651	229	2	efficient	efficient	ADJ
cana-651	229	3	system	system	NOUN
cana-651	229	4	for	for	ADP
cana-651	229	5	anomaly	anomaly	NOUN
cana-651	229	6	detection	detection	NOUN
cana-651	229	7	using	use	VERB
cana-651	229	8	deep	deep	ADJ
cana-651	229	9	learning	learning	NOUN
cana-651	229	10	classifier	classifier	NOUN
cana-651	229	11	.	.	PUNCT
cana-651	230	1	signal	signal	PROPN
cana-651	230	2	,	,	PUNCT
cana-651	230	3	image	image	NOUN
cana-651	230	4	and	and	CCONJ
cana-651	230	5	video	video	NOUN
cana-651	230	6	processing	processing	NOUN
cana-651	230	7	.	.	PUNCT
cana-651	231	1	11	11	NUM
cana-651	231	2	.	.	X
cana-651	232	1	10.1007	10.1007	NUM
cana-651	232	2	/	/	SYM
cana-651	232	3	s11760	s11760	NOUN
cana-651	232	4	-	-	PUNCT
cana-651	232	5	016	016	NUM
cana-651	232	6	-	-	PUNCT
cana-651	232	7	0935	0935	NUM
cana-651	232	8	-	-	PUNCT
cana-651	232	9	0	0	NUM
cana-651	232	10	.	.	PUNCT
cana-651	233	1	[	[	X
cana-651	233	2	2	2	X
cana-651	233	3	]	]	PUNCT
cana-651	233	4	s.	s.	PROPN
cana-651	233	5	zaidi	zaidi	PROPN
cana-651	233	6	,	,	PUNCT
cana-651	233	7	b.	b.	PROPN
cana-651	233	8	jagadeesh	jagadeesh	PROPN
cana-651	233	9	,	,	PUNCT
cana-651	233	10	k.	k.	PROPN
cana-651	234	1	v.	v.	CCONJ
cana-651	234	2	sudheesh	sudheesh	PROPN
cana-651	234	3	and	and	CCONJ
cana-651	234	4	a.	a.	NOUN
cana-651	234	5	a.	a.	PROPN
cana-651	234	6	audre	audre	PROPN
cana-651	234	7	,	,	PUNCT
cana-651	234	8	"	"	PUNCT
cana-651	234	9	video	video	NOUN
cana-651	234	10	anomaly	anomaly	NOUN
cana-651	234	11	detection	detection	NOUN
cana-651	234	12	and	and	CCONJ
cana-651	234	13	classification	classification	NOUN
cana-651	234	14	for	for	ADP
cana-651	234	15	human	human	ADJ
cana-651	234	16	activity	activity	NOUN
cana-651	234	17	recognition	recognition	NOUN
cana-651	234	18	,	,	PUNCT
cana-651	234	19	"	"	PUNCT
cana-651	234	20	2017	2017	NUM
cana-651	234	21	international	international	ADJ
cana-651	234	22	conference	conference	NOUN
cana-651	234	23	on	on	ADP
cana-651	234	24	current	current	ADJ
cana-651	234	25	trends	trend	NOUN
cana-651	234	26	in	in	ADP
cana-651	234	27	computer	computer	NOUN
cana-651	234	28	,	,	PUNCT
cana-651	234	29	electrical	electrical	ADJ
cana-651	234	30	,	,	PUNCT
cana-651	234	31	electronics	electronic	NOUN
cana-651	234	32	and	and	CCONJ
cana-651	234	33	communication	communication	NOUN
cana-651	234	34	(	(	PUNCT
cana-651	234	35	ctceec	ctceec	ADJ
cana-651	234	36	)	)	PUNCT
cana-651	234	37	,	,	PUNCT
cana-651	234	38	mysore	mysore	PROPN
cana-651	234	39	,	,	PUNCT
cana-651	234	40	india	india	PROPN
cana-651	234	41	,	,	PUNCT
cana-651	234	42	2017	2017	NUM
cana-651	234	43	,	,	PUNCT
cana-651	234	44	pp	pp	ADJ
cana-651	234	45	.	.	PUNCT
cana-651	235	1	544	544	NUM
cana-651	235	2	-	-	SYM
cana-651	235	3	548	548	NUM
cana-651	235	4	,	,	PUNCT
cana-651	235	5	doi	doi	NOUN
cana-651	235	6	:	:	PUNCT
cana-651	235	7	10.1109	10.1109	NUM
cana-651	235	8	/	/	SYM
cana-651	235	9	ctceec.2017.8455012	ctceec.2017.8455012	NOUN
cana-651	235	10	.	.	PUNCT
cana-651	236	1	[	[	X
cana-651	236	2	3	3	X
cana-651	236	3	]	]	X
cana-651	236	4	p.	p.	NOUN
cana-651	236	5	singh	singh	PROPN
cana-651	236	6	and	and	CCONJ
cana-651	236	7	v.	v.	ADP
cana-651	236	8	pankajakshan	pankajakshan	PROPN
cana-651	236	9	,	,	PUNCT
cana-651	236	10	"	"	PUNCT
cana-651	236	11	a	a	DET
cana-651	236	12	deep	deep	ADJ
cana-651	236	13	learning	learning	NOUN
cana-651	236	14	based	base	VERB
cana-651	236	15	technique	technique	NOUN
cana-651	236	16	for	for	ADP
cana-651	236	17	anomaly	anomaly	NOUN
cana-651	236	18	detection	detection	NOUN
cana-651	236	19	in	in	ADP
cana-651	236	20	surveillance	surveillance	NOUN
cana-651	236	21	videos	video	NOUN
cana-651	236	22	,	,	PUNCT
cana-651	236	23	"	"	PUNCT
cana-651	236	24	2018	2018	NUM
cana-651	236	25	twenty	twenty	NUM
cana-651	236	26	fourth	fourth	ADJ
cana-651	236	27	national	national	ADJ
cana-651	236	28	conference	conference	NOUN
cana-651	236	29	on	on	ADP
cana-651	236	30	communications	communication	NOUN
cana-651	236	31	(	(	PUNCT
cana-651	236	32	ncc	ncc	NOUN
cana-651	236	33	)	)	PUNCT
cana-651	236	34	,	,	PUNCT
cana-651	236	35	hyderabad	hyderabad	PROPN
cana-651	236	36	,	,	PUNCT
cana-651	236	37	india	india	PROPN
cana-651	236	38	,	,	PUNCT
cana-651	236	39	2018	2018	NUM
cana-651	236	40	,	,	PUNCT
cana-651	236	41	pp	pp	ADJ
cana-651	236	42	.	.	PUNCT
cana-651	237	1	1	1	NUM
cana-651	237	2	-	-	SYM
cana-651	237	3	6	6	NUM
cana-651	237	4	,	,	PUNCT
cana-651	237	5	doi	doi	NOUN
cana-651	237	6	:	:	PUNCT
cana-651	237	7	10.1109	10.1109	NUM
cana-651	237	8	/	/	SYM
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cana-651	239	2	-	-	SYM
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cana-651	239	8	/	/	SYM
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cana-651	239	10	.	.	PUNCT
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cana-651	241	2	(	(	PUNCT
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cana-651	241	4	)	)	PUNCT
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cana-651	242	2	5	5	NUM
cana-651	242	3	]	]	PUNCT
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cana-651	242	40	(	(	PUNCT
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cana-651	242	42	)	)	PUNCT
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cana-651	243	2	-	-	SYM
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cana-651	244	3	]	]	PUNCT
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cana-651	244	46	,	,	PUNCT
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cana-651	244	48	.	.	PROPN
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cana-651	247	50	-	-	SYM
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cana-651	249	23	.	.	PUNCT
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cana-651	251	8	.	.	PUNCT
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cana-651	254	3	in	in	ADP
cana-651	254	4	surveillance	surveillance	NOUN
cana-651	254	5	videos	video	NOUN
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cana-651	254	8	h265	h265	PROPN
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cana-651	254	10	deep	deep	ADJ
cana-651	254	11	learning	learning	NOUN
cana-651	254	12	.	.	PUNCT
cana-651	255	1	international	international	ADJ
cana-651	255	2	journal	journal	NOUN
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cana-651	255	5	technology	technology	NOUN
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cana-651	255	7	engineering	engineering	NOUN
cana-651	255	8	exploration.9.910	exploration.9.910	NOUN
cana-651	255	9	-	-	NUM
cana-651	255	10	922	922	NUM
cana-651	255	11	.	.	PUNCT
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cana-651	256	2	/	/	SYM
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cana-651	257	2	13	13	NUM
cana-651	257	3	]	]	X
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cana-651	257	6	,	,	PUNCT
cana-651	257	7	s.	s.	PROPN
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cana-651	257	13	sajjad	sajjad	PROPN
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cana-651	257	19	f.a	f.a	PROPN
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cana-651	257	22	hijji	hijji	NOUN
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cana-651	257	26	hijji	hijji	NOUN
cana-651	257	27	,	,	PUNCT
cana-651	257	28	a.	a.	NOUN
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cana-651	257	35	an	an	DET
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cana-651	257	38	learning	learning	NOUN
cana-651	257	39	model	model	NOUN
cana-651	257	40	for	for	ADP
cana-651	257	41	anomaly	anomaly	NOUN
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cana-651	257	43	in	in	ADP
cana-651	257	44	videos	video	NOUN
cana-651	257	45	.	.	PUNCT
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cana-651	258	3	,	,	PUNCT
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cana-651	258	5	,	,	PUNCT
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cana-651	258	7	.	.	PUNCT
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cana-651	260	3	]	]	X
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cana-651	260	6	d.	d.	PROPN
cana-651	260	7	,	,	PUNCT
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cana-651	260	21	,	,	PUNCT
cana-651	260	22	s.	s.	PROPN
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cana-651	260	26	k.	k.	PROPN
cana-651	260	27	(	(	PUNCT
cana-651	260	28	2023	2023	NUM
cana-651	260	29	)	)	PUNCT
cana-651	260	30	.	.	PUNCT
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cana-651	261	3	from	from	ADP
cana-651	261	4	video	video	NOUN
cana-651	261	5	surveillances	surveillance	NOUN
cana-651	261	6	using	use	VERB
cana-651	261	7	adaptive	adaptive	ADJ
cana-651	261	8	convolutional	convolutional	ADJ
cana-651	261	9	neural	neural	ADJ
cana-651	261	10	network	network	NOUN
cana-651	261	11	.	.	PUNCT
cana-651	262	1	in	in	ADP
cana-651	262	2	:	:	PUNCT
cana-651	262	3	manchuri	manchuri	PROPN
cana-651	262	4	,	,	PUNCT
cana-651	262	5	a.r	a.r	PROPN
cana-651	262	6	.	.	PROPN
cana-651	262	7	,	,	PUNCT
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cana-651	262	22	energy	energy	NOUN
cana-651	262	23	sustainability	sustainability	NOUN
cana-651	262	24	.	.	PUNCT
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cana-651	263	2	innovation	innovation	NOUN
cana-651	263	3	,	,	PUNCT
cana-651	263	4	systems	system	NOUN
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cana-651	263	7	,	,	PUNCT
cana-651	263	8	vol	vol	NOUN
cana-651	263	9	334	334	NUM
cana-651	263	10	.	.	PUNCT
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cana-651	263	12	,	,	PUNCT
cana-651	263	13	singapore	singapore	PROPN
cana-651	263	14	.	.	PUNCT
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cana-651	264	1	[	[	X
cana-651	264	2	15	15	NUM
cana-651	264	3	]	]	X
cana-651	264	4	mane	mane	PROPN
cana-651	264	5	,	,	PUNCT
cana-651	264	6	deepak	deepak	PROPN
cana-651	264	7	&	&	CCONJ
cana-651	264	8	sangve	sangve	PROPN
cana-651	264	9	,	,	PUNCT
cana-651	264	10	sunil	sunil	PROPN
cana-651	264	11	&	&	CCONJ
cana-651	264	12	upadhye	upadhye	PROPN
cana-651	264	13	,	,	PUNCT
cana-651	264	14	gopal	gopal	PROPN
cana-651	264	15	&	&	CCONJ
cana-651	264	16	kandhare	kandhare	PROPN
cana-651	264	17	,	,	PUNCT
cana-651	264	18	sahil	sahil	PROPN
cana-651	264	19	&	&	CCONJ
cana-651	264	20	mohole	mohole	PROPN
cana-651	264	21	,	,	PUNCT
cana-651	264	22	saurabh	saurabh	PROPN
cana-651	264	23	&	&	CCONJ
cana-651	264	24	sonar	sonar	PROPN
cana-651	264	25	,	,	PUNCT
cana-651	264	26	sanket	sanket	NOUN
cana-651	264	27	&	&	CCONJ
cana-651	264	28	tupare	tupare	PROPN
cana-651	264	29	,	,	PUNCT
cana-651	264	30	satej	satej	PROPN
cana-651	264	31	.	.	PUNCT
cana-651	265	1	(	(	PUNCT
cana-651	265	2	2022	2022	NUM
cana-651	265	3	)	)	PUNCT
cana-651	265	4	.	.	PUNCT
cana-651	266	1	detection	detection	NOUN
cana-651	266	2	of	of	ADP
cana-651	266	3	anomaly	anomaly	NOUN
cana-651	266	4	using	use	VERB
cana-651	266	5	machine	machine	NOUN
cana-651	266	6	learning	learning	NOUN
cana-651	266	7	:	:	PUNCT
cana-651	266	8	a	a	DET
cana-651	266	9	comprehensive	comprehensive	ADJ
cana-651	266	10	survey	survey	NOUN
cana-651	266	11	.	.	PUNCT
cana-651	267	1	international	international	ADJ
cana-651	267	2	journal	journal	NOUN
cana-651	267	3	of	of	ADP
cana-651	267	4	emerging	emerge	VERB
cana-651	267	5	technology	technology	NOUN
cana-651	267	6	and	and	CCONJ
cana-651	267	7	advanced	advanced	ADJ
cana-651	267	8	engineering	engineering	NOUN
cana-651	267	9	.	.	PUNCT
cana-651	268	1	12	12	NUM
cana-651	268	2	.	.	X
cana-651	269	1	134	134	NUM
cana-651	269	2	-	-	SYM
cana-651	269	3	152	152	NUM
cana-651	269	4	.	.	PUNCT
cana-651	270	1	10.46338	10.46338	NUM
cana-651	270	2	/	/	SYM
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cana-651	270	4	.	.	PUNCT
cana-651	271	1	[	[	X
cana-651	271	2	16	16	NUM
cana-651	271	3	]	]	X
cana-651	271	4	[	[	X
cana-651	271	5	minhajuddinmeraj	minhajuddinmeraj	X
cana-651	271	6	]	]	X
cana-651	271	7	.	.	PUNCT
cana-651	272	1	(	(	PUNCT
cana-651	272	2	[	[	X
cana-651	272	3	2022	2022	NUM
cana-651	272	4	,	,	PUNCT
cana-651	272	5	october	october	PROPN
cana-651	272	6	]	]	PUNCT
cana-651	272	7	)	)	PUNCT
cana-651	272	8	.	.	PUNCT
cana-651	273	1	[	[	X
cana-651	273	2	anomaly	anomaly	NOUN
cana-651	273	3	-	-	PUNCT
cana-651	273	4	detection	detection	NOUN
cana-651	273	5	-	-	PUNCT
cana-651	273	6	dataset	dataset	NOUN
cana-651	273	7	-	-	PUNCT
cana-651	273	8	ucf	ucf	NOUN
cana-651	273	9	]	]	PUNCT
cana-651	273	10	,	,	PUNCT
cana-651	274	1	[	[	X
cana-651	274	2	version	version	NOUN
cana-651	274	3	:	:	PUNCT
cana-651	274	4	01	01	NUM
cana-651	274	5	]	]	PUNCT
cana-651	274	6	.	.	PUNCT
cana-651	275	1	from	from	ADP
cana-651	275	2	[	[	X
cana-651	275	3	https://www.kaggle.com/datasets/minhajuddinmeraj/anomalydetectiondatasetucf	https://www.kaggle.com/datasets/minhajuddinmeraj/anomalydetectiondatasetucf	X
cana-651	275	4	]	]	X
cana-651	275	5	.	.	PUNCT
cana-651	276	1	[	[	X
cana-651	276	2	17	17	NUM
cana-651	276	3	]	]	X
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cana-651	276	5	,	,	PUNCT
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cana-651	276	7	,	,	PUNCT
cana-651	276	8	kunche	kunche	PROPN
cana-651	276	9	,	,	PUNCT
cana-651	276	10	shanthi	shanthi	PROPN
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cana-651	276	12	dingankar	dingankar	PROPN
cana-651	276	13	,	,	PUNCT
cana-651	276	14	shreyas	shreyas	PROPN
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cana-651	276	21	dhabliya	dhabliya	PROPN
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cana-651	276	26	,	,	PUNCT
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cana-651	276	30	)	)	PUNCT
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cana-651	276	32	technology	technology	NOUN
cana-651	276	33	as	as	ADP
cana-651	276	34	a	a	DET
cana-651	276	35	paradigm	paradigm	NOUN
cana-651	276	36	for	for	ADP
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cana-651	276	39	security	security	NOUN
cana-651	276	40	in	in	ADP
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cana-651	276	43	,	,	PUNCT
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cana-651	276	74	gandhi	gandhi	PROPN
cana-651	276	75	,	,	PUNCT
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cana-651	276	83	)	)	PUNCT
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cana-651	276	87	networks	network	NOUN
cana-651	276	88	with	with	ADP
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cana-651	276	91	lightweight	lightweight	ADJ
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cana-651	276	94	,	,	PUNCT
cana-651	276	95	journal	journal	NOUN
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cana-651	276	97	discrete	discrete	ADJ
cana-651	276	98	mathematical	mathematical	ADJ
cana-651	276	99	sciences	science	NOUN
cana-651	276	100	and	and	CCONJ
cana-651	276	101	cryptography	cryptography	NOUN
cana-651	276	102	,	,	PUNCT
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cana-651	276	104	-	-	SYM
cana-651	276	105	b	b	NOUN
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cana-651	276	107	703–714	703–714	NUM
cana-651	276	108	,	,	PUNCT
cana-651	276	109	doi	doi	NOUN
cana-651	276	110	:	:	PUNCT
cana-651	276	111	10.47974	10.47974	NUM
cana-651	276	112	/	/	SYM
cana-651	276	113	jdmsc-1921	jdmsc-1921	NOUN
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cana-651	276	115	19	19	NUM
cana-651	276	116	]	]	PUNCT
cana-651	276	117	toumlilin	toumlilin	PROPN
cana-651	276	118	,	,	PUNCT
cana-651	276	119	m.	m.	NOUN
cana-651	276	120	,	,	PUNCT
cana-651	276	121	abidin	abidin	PROPN
cana-651	276	122	,	,	PUNCT
cana-651	276	123	m.z	m.z	PROPN
cana-651	276	124	.	.	PROPN
cana-651	276	125	,	,	PUNCT
cana-651	276	126	"	"	PUNCT
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cana-651	276	128	-	-	PUNCT
cana-651	276	129	posedness	posedness	NOUN
cana-651	276	130	of	of	ADP
cana-651	276	131	the	the	DET
cana-651	276	132	3d	3d	PROPN
cana-651	276	133	stochastic	stochastic	ADJ
cana-651	276	134	generalized	generalized	ADJ
cana-651	276	135	rotating	rotate	VERB
cana-651	276	136	magnetohydrodynamics	magnetohydrodynamic	NOUN
cana-651	276	137	equations	equation	NOUN
cana-651	276	138	"	"	PUNCT
cana-651	276	139	(	(	PUNCT
cana-651	276	140	2022	2022	NUM
cana-651	276	141	)	)	PUNCT
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cana-651	276	143	in	in	ADP
cana-651	276	144	the	the	DET
cana-651	276	145	theory	theory	NOUN
cana-651	276	146	of	of	ADP
cana-651	276	147	nonlinear	nonlinear	ADJ
cana-651	276	148	analysis	analysis	NOUN
cana-651	276	149	and	and	CCONJ
cana-651	276	150	its	its	PRON
cana-651	276	151	applications	application	NOUN
cana-651	276	152	,	,	PUNCT
cana-651	276	153	6	6	NUM
cana-651	276	154	(	(	PUNCT
cana-651	276	155	4	4	NUM
cana-651	276	156	)	)	PUNCT
cana-651	276	157	,	,	PUNCT
cana-651	276	158	pp	pp	PROPN
cana-651	276	159	.	.	PUNCT
cana-651	277	1	513	513	NUM
cana-651	277	2	-	-	SYM
cana-651	277	3	527	527	NUM
cana-651	277	4	.	.	PUNCT