id	sid	tid	token	lemma	pos
ajst-6049	1	1	academic	academic	ADJ
ajst-6049	1	2	journal	journal	NOUN
ajst-6049	1	3	of	of	ADP
ajst-6049	1	4	science	science	NOUN
ajst-6049	1	5	and	and	CCONJ
ajst-6049	1	6	technology	technology	NOUN
ajst-6049	1	7	issn	issn	NOUN
ajst-6049	1	8	:	:	PUNCT
ajst-6049	1	9	2771	2771	NUM
ajst-6049	1	10	-	-	SYM
ajst-6049	1	11	3032	3032	NUM
ajst-6049	1	12	|	|	NOUN
ajst-6049	1	13	vol	vol	NOUN
ajst-6049	1	14	.	.	PROPN
ajst-6049	2	1	5	5	NUM
ajst-6049	2	2	,	,	PUNCT
ajst-6049	2	3	no	no	INTJ
ajst-6049	2	4	.	.	NOUN
ajst-6049	2	5	2	2	NUM
ajst-6049	2	6	,	,	PUNCT
ajst-6049	2	7	2023	2023	NUM
ajst-6049	2	8	59	59	NUM
ajst-6049	2	9	smoking	smoking	NOUN
ajst-6049	2	10	driving	drive	VERB
ajst-6049	2	11	behavior	behavior	NOUN
ajst-6049	2	12	detection	detection	NOUN
ajst-6049	2	13	based	base	VERB
ajst-6049	2	14	on	on	ADP
ajst-6049	2	15	deep	deep	ADJ
ajst-6049	2	16	learning	learn	VERB
ajst-6049	2	17	jinfan	jinfan	PROPN
ajst-6049	2	18	huang1	huang1	PROPN
ajst-6049	2	19	,	,	PUNCT
ajst-6049	2	20	*	*	PUNCT
ajst-6049	2	21	,	,	PUNCT
ajst-6049	2	22	rong	rong	PROPN
ajst-6049	2	23	li2	li2	PROPN
ajst-6049	2	24	1	1	NUM
ajst-6049	2	25	school	school	NOUN
ajst-6049	2	26	of	of	ADP
ajst-6049	2	27	computer	computer	NOUN
ajst-6049	2	28	science	science	NOUN
ajst-6049	2	29	,	,	PUNCT
ajst-6049	2	30	yangtze	yangtze	PROPN
ajst-6049	2	31	university	university	PROPN
ajst-6049	2	32	,	,	PUNCT
ajst-6049	2	33	jingzhou	jingzhou	PROPN
ajst-6049	2	34	hubei	hubei	PROPN
ajst-6049	2	35	434000	434000	NUM
ajst-6049	2	36	,	,	PUNCT
ajst-6049	2	37	china	china	PROPN
ajst-6049	2	38	2	2	NUM
ajst-6049	2	39	health	health	NOUN
ajst-6049	2	40	science	science	NOUN
ajst-6049	2	41	center	center	NOUN
ajst-6049	2	42	,	,	PUNCT
ajst-6049	2	43	yangtze	yangtze	PROPN
ajst-6049	2	44	university	university	PROPN
ajst-6049	2	45	,	,	PUNCT
ajst-6049	2	46	jingzhou	jingzhou	PROPN
ajst-6049	2	47	hubei	hubei	PROPN
ajst-6049	2	48	434023	434023	NUM
ajst-6049	2	49	,	,	PUNCT
ajst-6049	2	50	china	china	PROPN
ajst-6049	2	51	*	*	PUNCT
ajst-6049	2	52	corresponding	correspond	VERB
ajst-6049	2	53	author	author	NOUN
ajst-6049	2	54	:	:	PUNCT
ajst-6049	3	1	jinfan	jinfan	PROPN
ajst-6049	3	2	huang	huang	PROPN
ajst-6049	3	3	(	(	PUNCT
ajst-6049	3	4	email	email	NOUN
ajst-6049	3	5	:	:	PUNCT
ajst-6049	3	6	huangjflr@qq.com	huangjflr@qq.com	X
ajst-6049	3	7	)	)	PUNCT
ajst-6049	3	8	abstract	abstract	NOUN
ajst-6049	3	9	:	:	PUNCT
ajst-6049	3	10	smoking	smoke	VERB
ajst-6049	3	11	in	in	ADP
ajst-6049	3	12	driving	drive	VERB
ajst-6049	3	13	not	not	PART
ajst-6049	3	14	only	only	ADV
ajst-6049	3	15	reduces	reduce	VERB
ajst-6049	3	16	the	the	DET
ajst-6049	3	17	accuracy	accuracy	NOUN
ajst-6049	3	18	of	of	ADP
ajst-6049	3	19	driving	drive	VERB
ajst-6049	3	20	operation	operation	NOUN
ajst-6049	3	21	,	,	PUNCT
ajst-6049	3	22	but	but	CCONJ
ajst-6049	3	23	also	also	ADV
ajst-6049	3	24	leads	lead	VERB
ajst-6049	3	25	to	to	ADP
ajst-6049	3	26	insufficient	insufficient	ADJ
ajst-6049	3	27	oxygen	oxygen	NOUN
ajst-6049	3	28	and	and	CCONJ
ajst-6049	3	29	higher	high	ADJ
ajst-6049	3	30	possibility	possibility	NOUN
ajst-6049	3	31	of	of	ADP
ajst-6049	3	32	traffic	traffic	NOUN
ajst-6049	3	33	accident	accident	NOUN
ajst-6049	3	34	.	.	PUNCT
ajst-6049	4	1	therefore	therefore	ADV
ajst-6049	4	2	,	,	PUNCT
ajst-6049	4	3	considering	consider	VERB
ajst-6049	4	4	the	the	DET
ajst-6049	4	5	safety	safety	NOUN
ajst-6049	4	6	of	of	ADP
ajst-6049	4	7	life	life	NOUN
ajst-6049	4	8	and	and	CCONJ
ajst-6049	4	9	avoiding	avoid	VERB
ajst-6049	4	10	accidents	accident	NOUN
ajst-6049	4	11	as	as	ADV
ajst-6049	4	12	far	far	ADV
ajst-6049	4	13	as	as	ADP
ajst-6049	4	14	possible	possible	ADJ
ajst-6049	4	15	,	,	PUNCT
ajst-6049	4	16	a	a	DET
ajst-6049	4	17	detection	detection	NOUN
ajst-6049	4	18	model	model	NOUN
ajst-6049	4	19	based	base	VERB
ajst-6049	4	20	on	on	ADP
ajst-6049	4	21	deep	deep	ADJ
ajst-6049	4	22	learning	learning	NOUN
ajst-6049	4	23	which	which	PRON
ajst-6049	4	24	can	can	AUX
ajst-6049	4	25	quickly	quickly	ADV
ajst-6049	4	26	detect	detect	VERB
ajst-6049	4	27	smoking	smoking	NOUN
ajst-6049	4	28	driving	drive	VERB
ajst-6049	4	29	behavior	behavior	NOUN
ajst-6049	4	30	is	be	AUX
ajst-6049	4	31	designed	design	VERB
ajst-6049	4	32	.	.	PUNCT
ajst-6049	5	1	in	in	ADP
ajst-6049	5	2	this	this	DET
ajst-6049	5	3	model	model	NOUN
ajst-6049	5	4	,	,	PUNCT
ajst-6049	5	5	convolutional	convolutional	ADJ
ajst-6049	5	6	neural	neural	ADJ
ajst-6049	5	7	network	network	NOUN
ajst-6049	5	8	is	be	AUX
ajst-6049	5	9	used	use	VERB
ajst-6049	5	10	to	to	PART
ajst-6049	5	11	process	process	VERB
ajst-6049	5	12	the	the	DET
ajst-6049	5	13	input	input	NOUN
ajst-6049	5	14	frames	frame	NOUN
ajst-6049	5	15	of	of	ADP
ajst-6049	5	16	the	the	DET
ajst-6049	5	17	video	video	NOUN
ajst-6049	5	18	stream	stream	NOUN
ajst-6049	5	19	captured	capture	VERB
ajst-6049	5	20	by	by	ADP
ajst-6049	5	21	the	the	DET
ajst-6049	5	22	camera	camera	NOUN
ajst-6049	5	23	.	.	PUNCT
ajst-6049	6	1	after	after	ADP
ajst-6049	6	2	the	the	DET
ajst-6049	6	3	shape	shape	NOUN
ajst-6049	6	4	feature	feature	NOUN
ajst-6049	6	5	extraction	extraction	NOUN
ajst-6049	6	6	,	,	PUNCT
ajst-6049	6	7	fuzzy	fuzzy	ADJ
ajst-6049	6	8	feature	feature	NOUN
ajst-6049	6	9	processing	processing	NOUN
ajst-6049	6	10	,	,	PUNCT
ajst-6049	6	11	motion	motion	NOUN
ajst-6049	6	12	feature	feature	NOUN
ajst-6049	6	13	detection	detection	NOUN
ajst-6049	6	14	and	and	CCONJ
ajst-6049	6	15	color	color	NOUN
ajst-6049	6	16	feature	feature	NOUN
ajst-6049	6	17	region	region	NOUN
ajst-6049	6	18	comparison	comparison	NOUN
ajst-6049	6	19	,	,	PUNCT
ajst-6049	6	20	the	the	DET
ajst-6049	6	21	smoking	smoking	NOUN
ajst-6049	6	22	driving	drive	VERB
ajst-6049	6	23	behavior	behavior	NOUN
ajst-6049	6	24	can	can	AUX
ajst-6049	6	25	be	be	AUX
ajst-6049	6	26	judged	judge	VERB
ajst-6049	6	27	.	.	PUNCT
ajst-6049	7	1	through	through	ADP
ajst-6049	7	2	the	the	DET
ajst-6049	7	3	design	design	NOUN
ajst-6049	7	4	of	of	ADP
ajst-6049	7	5	a	a	DET
ajst-6049	7	6	series	series	NOUN
ajst-6049	7	7	of	of	ADP
ajst-6049	7	8	computer	computer	NOUN
ajst-6049	7	9	vision	vision	NOUN
ajst-6049	7	10	detection	detection	NOUN
ajst-6049	7	11	modules	module	NOUN
ajst-6049	7	12	,	,	PUNCT
ajst-6049	7	13	not	not	PART
ajst-6049	7	14	only	only	ADV
ajst-6049	7	15	can	can	AUX
ajst-6049	7	16	reduce	reduce	VERB
ajst-6049	7	17	the	the	DET
ajst-6049	7	18	calculation	calculation	NOUN
ajst-6049	7	19	of	of	ADP
ajst-6049	7	20	the	the	DET
ajst-6049	7	21	model	model	NOUN
ajst-6049	7	22	,	,	PUNCT
ajst-6049	7	23	but	but	CCONJ
ajst-6049	7	24	also	also	ADV
ajst-6049	7	25	improve	improve	VERB
ajst-6049	7	26	the	the	DET
ajst-6049	7	27	efficiency	efficiency	NOUN
ajst-6049	7	28	of	of	ADP
ajst-6049	7	29	deduction	deduction	NOUN
ajst-6049	7	30	,	,	PUNCT
ajst-6049	7	31	so	so	SCONJ
ajst-6049	7	32	as	as	SCONJ
ajst-6049	7	33	to	to	PART
ajst-6049	7	34	meet	meet	VERB
ajst-6049	7	35	the	the	DET
ajst-6049	7	36	performance	performance	NOUN
ajst-6049	7	37	requirements	requirement	NOUN
ajst-6049	7	38	of	of	ADP
ajst-6049	7	39	real	real	ADJ
ajst-6049	7	40	-	-	PUNCT
ajst-6049	7	41	time	time	NOUN
ajst-6049	7	42	monitoring	monitoring	NOUN
ajst-6049	7	43	.	.	PUNCT
ajst-6049	8	1	in	in	ADP
ajst-6049	8	2	order	order	NOUN
ajst-6049	8	3	to	to	PART
ajst-6049	8	4	quickly	quickly	ADV
ajst-6049	8	5	find	find	VERB
ajst-6049	8	6	out	out	ADP
ajst-6049	8	7	the	the	DET
ajst-6049	8	8	driver	driver	NOUN
ajst-6049	8	9	smoking	smoking	NOUN
ajst-6049	8	10	behavior	behavior	NOUN
ajst-6049	8	11	and	and	CCONJ
ajst-6049	8	12	trigger	trigger	NOUN
ajst-6049	8	13	warning	warning	NOUN
ajst-6049	8	14	,	,	PUNCT
ajst-6049	8	15	so	so	SCONJ
ajst-6049	8	16	as	as	SCONJ
ajst-6049	8	17	to	to	PART
ajst-6049	8	18	avoid	avoid	VERB
ajst-6049	8	19	unnecessary	unnecessary	ADJ
ajst-6049	8	20	traffic	traffic	NOUN
ajst-6049	8	21	accidents	accident	NOUN
ajst-6049	8	22	and	and	CCONJ
ajst-6049	8	23	ensure	ensure	VERB
ajst-6049	8	24	life	life	NOUN
ajst-6049	8	25	safety	safety	NOUN
ajst-6049	8	26	.	.	PUNCT
ajst-6049	9	1	keywords	keyword	NOUN
ajst-6049	9	2	:	:	PUNCT
ajst-6049	9	3	deep	deep	ADJ
ajst-6049	9	4	learning	learning	NOUN
ajst-6049	9	5	,	,	PUNCT
ajst-6049	9	6	computer	computer	NOUN
ajst-6049	9	7	vision	vision	NOUN
ajst-6049	9	8	,	,	PUNCT
ajst-6049	9	9	convolutional	convolutional	ADJ
ajst-6049	9	10	neural	neural	ADJ
ajst-6049	9	11	network	network	NOUN
ajst-6049	9	12	,	,	PUNCT
ajst-6049	9	13	smoking	smoking	NOUN
ajst-6049	9	14	driving	driving	NOUN
ajst-6049	9	15	.	.	PUNCT
ajst-6049	10	1	1	1	X
ajst-6049	10	2	.	.	X
ajst-6049	10	3	introduction	introduction	NOUN
ajst-6049	10	4	with	with	ADP
ajst-6049	10	5	the	the	DET
ajst-6049	10	6	continuous	continuous	ADJ
ajst-6049	10	7	leap	leap	NOUN
ajst-6049	10	8	of	of	ADP
ajst-6049	10	9	science	science	NOUN
ajst-6049	10	10	and	and	CCONJ
ajst-6049	10	11	technology	technology	NOUN
ajst-6049	10	12	,	,	PUNCT
ajst-6049	10	13	smoking	smoking	NOUN
ajst-6049	10	14	detection	detection	NOUN
ajst-6049	10	15	technology	technology	NOUN
ajst-6049	10	16	is	be	AUX
ajst-6049	10	17	also	also	ADV
ajst-6049	10	18	constantly	constantly	ADV
ajst-6049	10	19	improved	improve	VERB
ajst-6049	10	20	,	,	PUNCT
ajst-6049	10	21	detection	detection	NOUN
ajst-6049	10	22	algorithm	algorithm	NOUN
ajst-6049	10	23	is	be	AUX
ajst-6049	10	24	also	also	ADV
ajst-6049	10	25	greatly	greatly	ADV
ajst-6049	10	26	improved	improve	VERB
ajst-6049	10	27	.	.	PUNCT
ajst-6049	11	1	the	the	DET
ajst-6049	11	2	most	most	ADV
ajst-6049	11	3	traditional	traditional	ADJ
ajst-6049	11	4	smoking	smoking	NOUN
ajst-6049	11	5	detection	detection	NOUN
ajst-6049	11	6	method	method	NOUN
ajst-6049	11	7	is	be	AUX
ajst-6049	11	8	smoke	smoke	NOUN
ajst-6049	11	9	sensor	sensor	NOUN
ajst-6049	11	10	,	,	PUNCT
ajst-6049	11	11	or	or	CCONJ
ajst-6049	11	12	wear	wear	VERB
ajst-6049	11	13	physical	physical	ADJ
ajst-6049	11	14	equipment	equipment	NOUN
ajst-6049	11	15	for	for	ADP
ajst-6049	11	16	detection	detection	NOUN
ajst-6049	11	17	,	,	PUNCT
ajst-6049	11	18	but	but	CCONJ
ajst-6049	11	19	this	this	DET
ajst-6049	11	20	detection	detection	NOUN
ajst-6049	11	21	method	method	NOUN
ajst-6049	11	22	has	have	VERB
ajst-6049	11	23	two	two	NUM
ajst-6049	11	24	defects	defect	NOUN
ajst-6049	11	25	.	.	PUNCT
ajst-6049	12	1	first	first	ADV
ajst-6049	12	2	,	,	PUNCT
ajst-6049	12	3	when	when	SCONJ
ajst-6049	12	4	the	the	DET
ajst-6049	12	5	driver	driver	NOUN
ajst-6049	12	6	opens	open	VERB
ajst-6049	12	7	the	the	DET
ajst-6049	12	8	window	window	NOUN
ajst-6049	12	9	,	,	PUNCT
ajst-6049	12	10	certain	certain	ADJ
ajst-6049	12	11	smoke	smoke	NOUN
ajst-6049	12	12	concentration	concentration	NOUN
ajst-6049	12	13	will	will	AUX
ajst-6049	12	14	be	be	AUX
ajst-6049	12	15	diluted	dilute	VERB
ajst-6049	12	16	,	,	PUNCT
ajst-6049	12	17	and	and	CCONJ
ajst-6049	12	18	the	the	DET
ajst-6049	12	19	sensor	sensor	NOUN
ajst-6049	12	20	precision	precision	NOUN
ajst-6049	12	21	is	be	AUX
ajst-6049	12	22	not	not	PART
ajst-6049	12	23	enough	enough	ADJ
ajst-6049	12	24	to	to	PART
ajst-6049	12	25	detect	detect	VERB
ajst-6049	12	26	it	it	PRON
ajst-6049	12	27	.	.	PUNCT
ajst-6049	13	1	second	second	ADV
ajst-6049	13	2	,	,	PUNCT
ajst-6049	13	3	the	the	DET
ajst-6049	13	4	detection	detection	NOUN
ajst-6049	13	5	equipment	equipment	NOUN
ajst-6049	13	6	needs	need	VERB
ajst-6049	13	7	to	to	PART
ajst-6049	13	8	be	be	AUX
ajst-6049	13	9	worn	wear	VERB
ajst-6049	13	10	by	by	ADP
ajst-6049	13	11	everyone	everyone	PRON
ajst-6049	13	12	,	,	PUNCT
ajst-6049	13	13	which	which	PRON
ajst-6049	13	14	is	be	AUX
ajst-6049	13	15	not	not	PART
ajst-6049	13	16	advisable	advisable	ADJ
ajst-6049	13	17	from	from	ADP
ajst-6049	13	18	the	the	DET
ajst-6049	13	19	perspective	perspective	NOUN
ajst-6049	13	20	of	of	ADP
ajst-6049	13	21	cost	cost	NOUN
ajst-6049	13	22	and	and	CCONJ
ajst-6049	13	23	convenience	convenience	NOUN
ajst-6049	13	24	.	.	PUNCT
ajst-6049	14	1	another	another	DET
ajst-6049	14	2	detection	detection	NOUN
ajst-6049	14	3	method	method	NOUN
ajst-6049	14	4	is	be	AUX
ajst-6049	14	5	to	to	PART
ajst-6049	14	6	make	make	VERB
ajst-6049	14	7	behavioral	behavioral	ADJ
ajst-6049	14	8	judgment	judgment	NOUN
ajst-6049	14	9	by	by	ADP
ajst-6049	14	10	matching	match	VERB
ajst-6049	14	11	body	body	NOUN
ajst-6049	14	12	movements	movement	NOUN
ajst-6049	14	13	with	with	ADP
ajst-6049	14	14	smoking	smoking	NOUN
ajst-6049	14	15	movements	movement	NOUN
ajst-6049	14	16	.	.	PUNCT
ajst-6049	15	1	this	this	DET
ajst-6049	15	2	method	method	NOUN
ajst-6049	15	3	supports	support	VERB
ajst-6049	15	4	vector	vector	NOUN
ajst-6049	15	5	machine	machine	NOUN
ajst-6049	15	6	and	and	CCONJ
ajst-6049	15	7	other	other	ADJ
ajst-6049	15	8	machine	machine	NOUN
ajst-6049	15	9	learning	learn	VERB
ajst-6049	15	10	methods	method	NOUN
ajst-6049	15	11	to	to	PART
ajst-6049	15	12	judge	judge	VERB
ajst-6049	15	13	the	the	DET
ajst-6049	15	14	matching	matching	NOUN
ajst-6049	15	15	degree	degree	NOUN
ajst-6049	15	16	between	between	ADP
ajst-6049	15	17	smoking	smoking	NOUN
ajst-6049	15	18	movements	movement	NOUN
ajst-6049	15	19	and	and	CCONJ
ajst-6049	15	20	body	body	NOUN
ajst-6049	15	21	movements	movement	NOUN
ajst-6049	15	22	,	,	PUNCT
ajst-6049	15	23	so	so	SCONJ
ajst-6049	15	24	the	the	DET
ajst-6049	15	25	accuracy	accuracy	NOUN
ajst-6049	15	26	of	of	ADP
ajst-6049	15	27	this	this	DET
ajst-6049	15	28	detection	detection	NOUN
ajst-6049	15	29	method	method	NOUN
ajst-6049	15	30	is	be	AUX
ajst-6049	15	31	relatively	relatively	ADV
ajst-6049	15	32	low	low	ADJ
ajst-6049	15	33	.	.	PUNCT
ajst-6049	16	1	in	in	ADP
ajst-6049	16	2	addition	addition	NOUN
ajst-6049	16	3	to	to	ADP
ajst-6049	16	4	the	the	DET
ajst-6049	16	5	physical	physical	ADJ
ajst-6049	16	6	method	method	NOUN
ajst-6049	16	7	,	,	PUNCT
ajst-6049	16	8	there	there	PRON
ajst-6049	16	9	are	be	VERB
ajst-6049	16	10	traditional	traditional	ADJ
ajst-6049	16	11	graphics	graphic	NOUN
ajst-6049	16	12	in	in	ADP
ajst-6049	16	13	the	the	DET
ajst-6049	16	14	target	target	NOUN
ajst-6049	16	15	detection	detection	NOUN
ajst-6049	16	16	method	method	NOUN
ajst-6049	16	17	to	to	PART
ajst-6049	16	18	detect	detect	VERB
ajst-6049	16	19	smoking	smoking	NOUN
ajst-6049	16	20	,	,	PUNCT
ajst-6049	16	21	this	this	DET
ajst-6049	16	22	method	method	NOUN
ajst-6049	16	23	mainly	mainly	ADV
ajst-6049	16	24	carries	carry	VERB
ajst-6049	16	25	out	out	ADP
ajst-6049	16	26	three	three	NUM
ajst-6049	16	27	parts	part	NOUN
ajst-6049	16	28	:	:	PUNCT
ajst-6049	16	29	first	first	ADV
ajst-6049	16	30	set	set	VERB
ajst-6049	16	31	the	the	DET
ajst-6049	16	32	step	step	NOUN
ajst-6049	16	33	size	size	NOUN
ajst-6049	16	34	and	and	CCONJ
ajst-6049	16	35	size	size	NOUN
ajst-6049	16	36	of	of	ADP
ajst-6049	16	37	the	the	DET
ajst-6049	16	38	sliding	slide	VERB
ajst-6049	16	39	window	window	NOUN
ajst-6049	16	40	,	,	PUNCT
ajst-6049	16	41	and	and	CCONJ
ajst-6049	16	42	then	then	ADV
ajst-6049	16	43	set	set	VERB
ajst-6049	16	44	the	the	DET
ajst-6049	16	45	window	window	NOUN
ajst-6049	16	46	in	in	ADP
ajst-6049	16	47	each	each	DET
ajst-6049	16	48	position	position	NOUN
ajst-6049	16	49	of	of	ADP
ajst-6049	16	50	the	the	DET
ajst-6049	16	51	image	image	NOUN
ajst-6049	16	52	for	for	ADP
ajst-6049	16	53	sliding	slide	VERB
ajst-6049	16	54	.	.	PUNCT
ajst-6049	17	1	the	the	DET
ajst-6049	17	2	characteristic	characteristic	ADJ
ajst-6049	17	3	information	information	NOUN
ajst-6049	17	4	of	of	ADP
ajst-6049	17	5	smoking	smoking	NOUN
ajst-6049	17	6	or	or	CCONJ
ajst-6049	17	7	smoke	smoke	NOUN
ajst-6049	17	8	is	be	AUX
ajst-6049	17	9	extracted	extract	VERB
ajst-6049	17	10	by	by	ADP
ajst-6049	17	11	using	use	VERB
ajst-6049	17	12	the	the	DET
ajst-6049	17	13	direction	direction	NOUN
ajst-6049	17	14	gradient	gradient	NOUN
ajst-6049	17	15	histogram	histogram	NOUN
ajst-6049	17	16	method	method	NOUN
ajst-6049	17	17	.	.	PUNCT
ajst-6049	18	1	finally	finally	ADV
ajst-6049	18	2	,	,	PUNCT
ajst-6049	18	3	the	the	DET
ajst-6049	18	4	algorithm	algorithm	NOUN
ajst-6049	18	5	is	be	AUX
ajst-6049	18	6	used	use	VERB
ajst-6049	18	7	to	to	PART
ajst-6049	18	8	classify	classify	VERB
ajst-6049	18	9	and	and	CCONJ
ajst-6049	18	10	test	test	VERB
ajst-6049	18	11	the	the	DET
ajst-6049	18	12	set	set	NOUN
ajst-6049	18	13	window	window	NOUN
ajst-6049	18	14	.	.	PUNCT
ajst-6049	19	1	after	after	ADP
ajst-6049	19	2	verification	verification	NOUN
ajst-6049	19	3	and	and	CCONJ
ajst-6049	19	4	comparison	comparison	NOUN
ajst-6049	19	5	,	,	PUNCT
ajst-6049	19	6	the	the	DET
ajst-6049	19	7	score	score	NOUN
ajst-6049	19	8	with	with	ADP
ajst-6049	19	9	the	the	DET
ajst-6049	19	10	highest	high	ADJ
ajst-6049	19	11	test	test	NOUN
ajst-6049	19	12	score	score	NOUN
ajst-6049	19	13	is	be	AUX
ajst-6049	19	14	taken	take	VERB
ajst-6049	19	15	as	as	ADP
ajst-6049	19	16	the	the	DET
ajst-6049	19	17	final	final	ADJ
ajst-6049	19	18	test	test	NOUN
ajst-6049	19	19	result	result	NOUN
ajst-6049	19	20	.	.	PUNCT
ajst-6049	20	1	due	due	ADP
ajst-6049	20	2	to	to	ADP
ajst-6049	20	3	the	the	DET
ajst-6049	20	4	complexity	complexity	NOUN
ajst-6049	20	5	of	of	ADP
ajst-6049	20	6	its	its	PRON
ajst-6049	20	7	classification	classification	NOUN
ajst-6049	20	8	algorithm	algorithm	NOUN
ajst-6049	20	9	,	,	PUNCT
ajst-6049	20	10	it	it	PRON
ajst-6049	20	11	requires	require	VERB
ajst-6049	20	12	a	a	DET
ajst-6049	20	13	large	large	ADJ
ajst-6049	20	14	amount	amount	NOUN
ajst-6049	20	15	of	of	ADP
ajst-6049	20	16	computation	computation	NOUN
ajst-6049	20	17	for	for	ADP
ajst-6049	20	18	each	each	DET
ajst-6049	20	19	classification	classification	NOUN
ajst-6049	20	20	,	,	PUNCT
ajst-6049	20	21	and	and	CCONJ
ajst-6049	20	22	it	it	PRON
ajst-6049	20	23	is	be	AUX
ajst-6049	20	24	easy	easy	ADJ
ajst-6049	20	25	to	to	PART
ajst-6049	20	26	be	be	AUX
ajst-6049	20	27	interfered	interfere	VERB
ajst-6049	20	28	by	by	ADP
ajst-6049	20	29	external	external	ADJ
ajst-6049	20	30	substances	substance	NOUN
ajst-6049	20	31	,	,	PUNCT
ajst-6049	20	32	so	so	SCONJ
ajst-6049	20	33	it	it	PRON
ajst-6049	20	34	is	be	AUX
ajst-6049	20	35	not	not	PART
ajst-6049	20	36	accurate	accurate	ADJ
ajst-6049	20	37	in	in	ADP
ajst-6049	20	38	action	action	NOUN
ajst-6049	20	39	positioning	positioning	NOUN
ajst-6049	20	40	and	and	CCONJ
ajst-6049	20	41	not	not	PART
ajst-6049	20	42	public	public	ADJ
ajst-6049	20	43	in	in	ADP
ajst-6049	20	44	practical	practical	ADJ
ajst-6049	20	45	application	application	NOUN
ajst-6049	20	46	.	.	PUNCT
ajst-6049	21	1	in	in	ADP
ajst-6049	21	2	this	this	DET
ajst-6049	21	3	paper	paper	NOUN
ajst-6049	21	4	,	,	PUNCT
ajst-6049	21	5	a	a	DET
ajst-6049	21	6	lightweight	lightweight	ADJ
ajst-6049	21	7	smoking	smoking	NOUN
ajst-6049	21	8	detection	detection	NOUN
ajst-6049	21	9	model	model	NOUN
ajst-6049	21	10	is	be	AUX
ajst-6049	21	11	designed	design	VERB
ajst-6049	21	12	by	by	ADP
ajst-6049	21	13	referring	refer	VERB
ajst-6049	21	14	to	to	ADP
ajst-6049	21	15	the	the	DET
ajst-6049	21	16	high	high	ADJ
ajst-6049	21	17	-	-	PUNCT
ajst-6049	21	18	performance	performance	NOUN
ajst-6049	21	19	smoke	smoke	NOUN
ajst-6049	21	20	detection	detection	NOUN
ajst-6049	21	21	algorithm	algorithm	NOUN
ajst-6049	21	22	.	.	PUNCT
ajst-6049	22	1	the	the	DET
ajst-6049	22	2	accuracy	accuracy	NOUN
ajst-6049	22	3	of	of	ADP
ajst-6049	22	4	the	the	DET
ajst-6049	22	5	detection	detection	NOUN
ajst-6049	22	6	is	be	AUX
ajst-6049	22	7	improved	improve	VERB
ajst-6049	22	8	by	by	ADP
ajst-6049	22	9	extracting	extract	VERB
ajst-6049	22	10	the	the	DET
ajst-6049	22	11	feature	feature	NOUN
ajst-6049	22	12	image	image	NOUN
ajst-6049	22	13	vector	vector	NOUN
ajst-6049	22	14	from	from	ADP
ajst-6049	22	15	different	different	ADJ
ajst-6049	22	16	angles	angle	NOUN
ajst-6049	22	17	at	at	ADP
ajst-6049	22	18	multiple	multiple	ADJ
ajst-6049	22	19	levels	level	NOUN
ajst-6049	22	20	,	,	PUNCT
ajst-6049	22	21	processing	process	VERB
ajst-6049	22	22	the	the	DET
ajst-6049	22	23	fuzzy	fuzzy	ADJ
ajst-6049	22	24	degree	degree	NOUN
ajst-6049	22	25	of	of	ADP
ajst-6049	22	26	graphics	graphic	NOUN
ajst-6049	22	27	,	,	PUNCT
ajst-6049	22	28	color	color	NOUN
ajst-6049	22	29	detection	detection	NOUN
ajst-6049	22	30	and	and	CCONJ
ajst-6049	22	31	action	action	NOUN
ajst-6049	22	32	inspection	inspection	NOUN
ajst-6049	22	33	.	.	PUNCT
ajst-6049	23	1	the	the	DET
ajst-6049	23	2	convolution	convolution	NOUN
ajst-6049	23	3	kernel	kernel	PROPN
ajst-6049	23	4	parameters	parameter	NOUN
ajst-6049	23	5	of	of	ADP
ajst-6049	23	6	the	the	DET
ajst-6049	23	7	model	model	NOUN
ajst-6049	23	8	are	be	AUX
ajst-6049	23	9	reduced	reduce	VERB
ajst-6049	23	10	,	,	PUNCT
ajst-6049	23	11	so	so	SCONJ
ajst-6049	23	12	as	as	SCONJ
ajst-6049	23	13	to	to	PART
ajst-6049	23	14	reduce	reduce	VERB
ajst-6049	23	15	the	the	DET
ajst-6049	23	16	calculation	calculation	NOUN
ajst-6049	23	17	amount	amount	NOUN
ajst-6049	23	18	of	of	ADP
ajst-6049	23	19	the	the	DET
ajst-6049	23	20	model	model	NOUN
ajst-6049	23	21	,	,	PUNCT
ajst-6049	23	22	and	and	CCONJ
ajst-6049	23	23	finally	finally	ADV
ajst-6049	23	24	speed	speed	VERB
ajst-6049	23	25	up	up	ADP
ajst-6049	23	26	the	the	DET
ajst-6049	23	27	calculation	calculation	NOUN
ajst-6049	23	28	speed	speed	NOUN
ajst-6049	23	29	and	and	CCONJ
ajst-6049	23	30	efficiency	efficiency	NOUN
ajst-6049	23	31	of	of	ADP
ajst-6049	23	32	the	the	DET
ajst-6049	23	33	model	model	NOUN
ajst-6049	23	34	to	to	PART
ajst-6049	23	35	meet	meet	VERB
ajst-6049	23	36	the	the	DET
ajst-6049	23	37	real	real	ADJ
ajst-6049	23	38	-	-	PUNCT
ajst-6049	23	39	time	time	NOUN
ajst-6049	23	40	requirements	requirement	NOUN
ajst-6049	23	41	.	.	PUNCT
ajst-6049	24	1	2	2	X
ajst-6049	24	2	.	.	X
ajst-6049	24	3	basic	basic	ADJ
ajst-6049	24	4	detection	detection	NOUN
ajst-6049	24	5	process	process	NOUN
ajst-6049	24	6	and	and	CCONJ
ajst-6049	24	7	extraction	extraction	NOUN
ajst-6049	24	8	of	of	ADP
ajst-6049	24	9	smoking	smoking	NOUN
ajst-6049	24	10	characteristics	characteristic	NOUN
ajst-6049	24	11	2.1	2.1	NUM
ajst-6049	24	12	.	.	PUNCT
ajst-6049	25	1	smoke	smoke	NOUN
ajst-6049	25	2	shape	shape	NOUN
ajst-6049	25	3	feature	feature	NOUN
ajst-6049	25	4	detection	detection	NOUN
ajst-6049	25	5	smoke	smoke	NOUN
ajst-6049	25	6	is	be	AUX
ajst-6049	25	7	an	an	DET
ajst-6049	25	8	obvious	obvious	ADJ
ajst-6049	25	9	feature	feature	NOUN
ajst-6049	25	10	to	to	PART
ajst-6049	25	11	identify	identify	VERB
ajst-6049	25	12	whether	whether	SCONJ
ajst-6049	25	13	a	a	DET
ajst-6049	25	14	driver	driver	NOUN
ajst-6049	25	15	smokes	smoke	VERB
ajst-6049	25	16	or	or	CCONJ
ajst-6049	25	17	not	not	PART
ajst-6049	25	18	.	.	PUNCT
ajst-6049	26	1	it	it	PRON
ajst-6049	26	2	can	can	AUX
ajst-6049	26	3	be	be	AUX
ajst-6049	26	4	seen	see	VERB
ajst-6049	26	5	from	from	ADP
ajst-6049	26	6	the	the	DET
ajst-6049	26	7	area	area	NOUN
ajst-6049	26	8	of	of	ADP
ajst-6049	26	9	smoke	smoke	NOUN
ajst-6049	26	10	diffusion	diffusion	NOUN
ajst-6049	26	11	in	in	ADP
ajst-6049	26	12	the	the	DET
ajst-6049	26	13	air	air	NOUN
ajst-6049	26	14	,	,	PUNCT
ajst-6049	26	15	the	the	DET
ajst-6049	26	16	irregular	irregular	ADJ
ajst-6049	26	17	shape	shape	NOUN
ajst-6049	26	18	of	of	ADP
ajst-6049	26	19	smoke	smoke	NOUN
ajst-6049	26	20	,	,	PUNCT
ajst-6049	26	21	the	the	DET
ajst-6049	26	22	continuity	continuity	NOUN
ajst-6049	26	23	of	of	ADP
ajst-6049	26	24	smoke	smoke	NOUN
ajst-6049	26	25	,	,	PUNCT
ajst-6049	26	26	ambiguity	ambiguity	NOUN
ajst-6049	26	27	and	and	CCONJ
ajst-6049	26	28	other	other	ADJ
ajst-6049	26	29	related	related	ADJ
ajst-6049	26	30	properties	property	NOUN
ajst-6049	26	31	,	,	PUNCT
ajst-6049	26	32	which	which	PRON
ajst-6049	26	33	better	well	ADV
ajst-6049	26	34	reflect	reflect	VERB
ajst-6049	26	35	the	the	DET
ajst-6049	26	36	basic	basic	ADJ
ajst-6049	26	37	characteristics	characteristic	NOUN
ajst-6049	26	38	of	of	ADP
ajst-6049	26	39	smoke	smoke	NOUN
ajst-6049	26	40	.	.	PUNCT
ajst-6049	27	1	due	due	ADP
ajst-6049	27	2	to	to	ADP
ajst-6049	27	3	the	the	DET
ajst-6049	27	4	interference	interference	NOUN
ajst-6049	27	5	of	of	ADP
ajst-6049	27	6	external	external	ADJ
ajst-6049	27	7	factors	factor	NOUN
ajst-6049	27	8	,	,	PUNCT
ajst-6049	27	9	smoke	smoke	NOUN
ajst-6049	27	10	molecules	molecule	NOUN
ajst-6049	27	11	will	will	AUX
ajst-6049	27	12	change	change	VERB
ajst-6049	27	13	irregularly	irregularly	ADV
ajst-6049	27	14	in	in	ADP
ajst-6049	27	15	the	the	DET
ajst-6049	27	16	process	process	NOUN
ajst-6049	27	17	of	of	ADP
ajst-6049	27	18	air	air	NOUN
ajst-6049	27	19	diffusion	diffusion	NOUN
ajst-6049	27	20	,	,	PUNCT
ajst-6049	27	21	and	and	CCONJ
ajst-6049	27	22	the	the	DET
ajst-6049	27	23	edge	edge	NOUN
ajst-6049	27	24	contour	contour	NOUN
ajst-6049	27	25	of	of	ADP
ajst-6049	27	26	smoke	smoke	NOUN
ajst-6049	27	27	is	be	AUX
ajst-6049	27	28	an	an	DET
ajst-6049	27	29	irregular	irregular	ADJ
ajst-6049	27	30	fuzzy	fuzzy	ADJ
ajst-6049	27	31	shape	shape	NOUN
ajst-6049	27	32	which	which	PRON
ajst-6049	27	33	changes	change	VERB
ajst-6049	27	34	irregularly	irregularly	ADV
ajst-6049	27	35	in	in	ADP
ajst-6049	27	36	real	real	ADJ
ajst-6049	27	37	time	time	NOUN
ajst-6049	27	38	.	.	PUNCT
ajst-6049	28	1	when	when	SCONJ
ajst-6049	28	2	it	it	PRON
ajst-6049	28	3	is	be	AUX
ajst-6049	28	4	verified	verify	VERB
ajst-6049	28	5	that	that	SCONJ
ajst-6049	28	6	two	two	NUM
ajst-6049	28	7	two	two	NUM
ajst-6049	28	8	-	-	PUNCT
ajst-6049	28	9	dimensional	dimensional	ADJ
ajst-6049	28	10	figures	figure	NOUN
ajst-6049	28	11	with	with	ADP
ajst-6049	28	12	the	the	DET
ajst-6049	28	13	same	same	ADJ
ajst-6049	28	14	area	area	NOUN
ajst-6049	28	15	,	,	PUNCT
ajst-6049	28	16	the	the	DET
ajst-6049	28	17	circumference	circumference	NOUN
ajst-6049	28	18	of	of	ADP
ajst-6049	28	19	the	the	DET
ajst-6049	28	20	figure	figure	NOUN
ajst-6049	28	21	with	with	ADP
ajst-6049	28	22	irregular	irregular	ADJ
ajst-6049	28	23	edge	edge	NOUN
ajst-6049	28	24	contour	contour	NOUN
ajst-6049	28	25	is	be	AUX
ajst-6049	28	26	obviously	obviously	ADV
ajst-6049	28	27	larger	large	ADJ
ajst-6049	28	28	than	than	ADP
ajst-6049	28	29	that	that	PRON
ajst-6049	28	30	of	of	ADP
ajst-6049	28	31	the	the	DET
ajst-6049	28	32	figure	figure	NOUN
ajst-6049	28	33	with	with	ADP
ajst-6049	28	34	regular	regular	ADJ
ajst-6049	28	35	edge	edge	NOUN
ajst-6049	28	36	contour	contour	NOUN
ajst-6049	28	37	.	.	PUNCT
ajst-6049	29	1	the	the	DET
ajst-6049	29	2	relationship	relationship	NOUN
ajst-6049	29	3	between	between	ADP
ajst-6049	29	4	contour	contour	NOUN
ajst-6049	29	5	and	and	CCONJ
ajst-6049	29	6	area	area	NOUN
ajst-6049	29	7	can	can	AUX
ajst-6049	29	8	be	be	AUX
ajst-6049	29	9	analyzed	analyze	VERB
ajst-6049	29	10	according	accord	VERB
ajst-6049	29	11	to	to	ADP
ajst-6049	29	12	the	the	DET
ajst-6049	29	13	feature	feature	NOUN
ajst-6049	29	14	of	of	ADP
ajst-6049	29	15	circumference	circumference	NOUN
ajst-6049	29	16	comparison	comparison	NOUN
ajst-6049	29	17	when	when	SCONJ
ajst-6049	29	18	the	the	DET
ajst-6049	29	19	area	area	NOUN
ajst-6049	29	20	is	be	AUX
ajst-6049	29	21	the	the	DET
ajst-6049	29	22	same	same	ADJ
ajst-6049	29	23	,	,	PUNCT
ajst-6049	29	24	as	as	SCONJ
ajst-6049	29	25	shown	show	VERB
ajst-6049	29	26	in	in	ADP
ajst-6049	29	27	the	the	DET
ajst-6049	29	28	figure	figure	NOUN
ajst-6049	29	29	1	1	NUM
ajst-6049	29	30	below	below	ADV
ajst-6049	29	31	:	:	PUNCT
ajst-6049	29	32	figure	figure	VERB
ajst-6049	29	33	1	1	NUM
ajst-6049	29	34	.	.	PUNCT
ajst-6049	30	1	contour	contour	NOUN
ajst-6049	30	2	and	and	CCONJ
ajst-6049	30	3	area	area	NOUN
ajst-6049	30	4	contrast	contrast	NOUN
ajst-6049	30	5	diagram	diagram	NOUN
ajst-6049	30	6	furthermore	furthermore	ADV
ajst-6049	30	7	,	,	PUNCT
ajst-6049	30	8	through	through	ADP
ajst-6049	30	9	the	the	DET
ajst-6049	30	10	relationship	relationship	NOUN
ajst-6049	30	11	between	between	ADP
ajst-6049	30	12	the	the	DET
ajst-6049	30	13	area	area	NOUN
ajst-6049	30	14	in	in	ADP
ajst-6049	30	15	the	the	DET
ajst-6049	30	16	edge	edge	NOUN
ajst-6049	30	17	contour	contour	NOUN
ajst-6049	30	18	of	of	ADP
ajst-6049	30	19	the	the	DET
ajst-6049	30	20	target	target	NOUN
ajst-6049	30	21	region	region	NOUN
ajst-6049	30	22	and	and	CCONJ
ajst-6049	30	23	the	the	DET
ajst-6049	30	24	edge	edge	NOUN
ajst-6049	30	25	perimeter	perimeter	NOUN
ajst-6049	30	26	,	,	PUNCT
ajst-6049	30	27	the	the	DET
ajst-6049	30	28	complexity	complexity	NOUN
ajst-6049	30	29	of	of	ADP
ajst-6049	30	30	the	the	DET
ajst-6049	30	31	contour	contour	NOUN
ajst-6049	30	32	of	of	ADP
ajst-6049	30	33	the	the	DET
ajst-6049	30	34	target	target	NOUN
ajst-6049	30	35	region	region	NOUN
ajst-6049	30	36	and	and	CCONJ
ajst-6049	30	37	the	the	DET
ajst-6049	30	38	irregularity	irregularity	NOUN
ajst-6049	30	39	of	of	ADP
ajst-6049	30	40	the	the	DET
ajst-6049	30	41	smoke	smoke	NOUN
ajst-6049	30	42	can	can	AUX
ajst-6049	30	43	be	be	AUX
ajst-6049	30	44	quantified	quantify	VERB
ajst-6049	30	45	,	,	PUNCT
ajst-6049	30	46	and	and	CCONJ
ajst-6049	30	47	the	the	DET
ajst-6049	30	48	complexity	complexity	NOUN
ajst-6049	30	49	of	of	ADP
ajst-6049	30	50	the	the	DET
ajst-6049	30	51	edge	edge	NOUN
ajst-6049	30	52	contour	contour	NOUN
ajst-6049	30	53	of	of	ADP
ajst-6049	30	54	the	the	DET
ajst-6049	30	55	smoke	smoke	NOUN
ajst-6049	30	56	can	can	AUX
ajst-6049	30	57	be	be	AUX
ajst-6049	30	58	obtained	obtain	VERB
ajst-6049	30	59	:	:	PUNCT
ajst-6049	30	60	60	60	NUM
ajst-6049	30	61	permeter	permeter	NOUN
ajst-6049	30	62	a	a	DET
ajst-6049	30	63	area	area	NOUN
ajst-6049	30	64	(	(	PUNCT
ajst-6049	30	65	1	1	NUM
ajst-6049	30	66	)	)	PUNCT
ajst-6049	30	67	2.2	2.2	NUM
ajst-6049	30	68	.	.	PUNCT
ajst-6049	31	1	detection	detection	NOUN
ajst-6049	31	2	of	of	ADP
ajst-6049	31	3	smoke	smoke	NOUN
ajst-6049	31	4	diffusion	diffusion	NOUN
ajst-6049	31	5	characteristics	characteristic	NOUN
ajst-6049	31	6	diffusion	diffusion	NOUN
ajst-6049	31	7	is	be	AUX
ajst-6049	31	8	one	one	NUM
ajst-6049	31	9	of	of	ADP
ajst-6049	31	10	the	the	DET
ajst-6049	31	11	most	most	ADV
ajst-6049	31	12	obvious	obvious	ADJ
ajst-6049	31	13	features	feature	NOUN
ajst-6049	31	14	of	of	ADP
ajst-6049	31	15	smoke	smoke	NOUN
ajst-6049	31	16	.	.	PUNCT
ajst-6049	32	1	it	it	PRON
ajst-6049	32	2	is	be	AUX
ajst-6049	32	3	detected	detect	VERB
ajst-6049	32	4	by	by	ADP
ajst-6049	32	5	video	video	NOUN
ajst-6049	32	6	sequence	sequence	NOUN
ajst-6049	32	7	that	that	PRON
ajst-6049	32	8	the	the	DET
ajst-6049	32	9	contour	contour	NOUN
ajst-6049	32	10	area	area	NOUN
ajst-6049	32	11	of	of	ADP
ajst-6049	32	12	smoke	smoke	NOUN
ajst-6049	32	13	in	in	ADP
ajst-6049	32	14	the	the	DET
ajst-6049	32	15	air	air	NOUN
ajst-6049	32	16	edge	edge	NOUN
ajst-6049	32	17	goes	go	VERB
ajst-6049	32	18	from	from	ADP
ajst-6049	32	19	zero	zero	NUM
ajst-6049	32	20	to	to	ADP
ajst-6049	32	21	irregular	irregular	ADJ
ajst-6049	32	22	and	and	CCONJ
ajst-6049	32	23	constantly	constantly	ADV
ajst-6049	32	24	enlarges	enlarge	VERB
ajst-6049	32	25	.	.	PUNCT
ajst-6049	33	1	conventional	conventional	ADJ
ajst-6049	33	2	objects	object	NOUN
ajst-6049	33	3	do	do	AUX
ajst-6049	33	4	not	not	PART
ajst-6049	33	5	have	have	VERB
ajst-6049	33	6	diffusivity	diffusivity	NOUN
ajst-6049	33	7	in	in	ADP
ajst-6049	33	8	the	the	DET
ajst-6049	33	9	process	process	NOUN
ajst-6049	33	10	of	of	ADP
ajst-6049	33	11	movement	movement	NOUN
ajst-6049	33	12	,	,	PUNCT
ajst-6049	33	13	such	such	ADJ
ajst-6049	33	14	as	as	ADP
ajst-6049	33	15	driving	drive	VERB
ajst-6049	33	16	cars	car	NOUN
ajst-6049	33	17	,	,	PUNCT
ajst-6049	33	18	running	run	VERB
ajst-6049	33	19	cheetahs	cheetah	NOUN
ajst-6049	33	20	,	,	PUNCT
ajst-6049	33	21	etc	etc	X
ajst-6049	33	22	.	.	X
ajst-6049	33	23	,	,	PUNCT
ajst-6049	33	24	and	and	CCONJ
ajst-6049	33	25	their	their	PRON
ajst-6049	33	26	common	common	ADJ
ajst-6049	33	27	characteristics	characteristic	NOUN
ajst-6049	33	28	are	be	AUX
ajst-6049	33	29	small	small	ADJ
ajst-6049	33	30	or	or	CCONJ
ajst-6049	33	31	even	even	ADV
ajst-6049	33	32	unchanged	unchanged	ADJ
ajst-6049	33	33	in	in	ADP
ajst-6049	33	34	area	area	NOUN
ajst-6049	33	35	during	during	ADP
ajst-6049	33	36	movement	movement	NOUN
ajst-6049	33	37	.	.	PUNCT
ajst-6049	34	1	therefore	therefore	ADV
ajst-6049	34	2	,	,	PUNCT
ajst-6049	34	3	a	a	DET
ajst-6049	34	4	large	large	ADJ
ajst-6049	34	5	number	number	NOUN
ajst-6049	34	6	of	of	ADP
ajst-6049	34	7	disturbing	disturb	VERB
ajst-6049	34	8	objects	object	NOUN
ajst-6049	34	9	can	can	AUX
ajst-6049	34	10	be	be	AUX
ajst-6049	34	11	eliminated	eliminate	VERB
ajst-6049	34	12	through	through	ADP
ajst-6049	34	13	smoke	smoke	NOUN
ajst-6049	34	14	diffusivity	diffusivity	NOUN
ajst-6049	34	15	.	.	PUNCT
ajst-6049	35	1	the	the	DET
ajst-6049	35	2	growth	growth	NOUN
ajst-6049	35	3	rate	rate	NOUN
ajst-6049	35	4	of	of	ADP
ajst-6049	35	5	the	the	DET
ajst-6049	35	6	target	target	NOUN
ajst-6049	35	7	area	area	NOUN
ajst-6049	35	8	can	can	AUX
ajst-6049	35	9	be	be	AUX
ajst-6049	35	10	expressed	express	VERB
ajst-6049	35	11	as	as	ADP
ajst-6049	35	12	:	:	PUNCT
ajst-6049	35	13	𝑆	𝑆	PROPN
ajst-6049	35	14	(	(	PUNCT
ajst-6049	35	15	2	2	X
ajst-6049	35	16	)	)	PUNCT
ajst-6049	35	17	it	it	PRON
ajst-6049	35	18	is	be	AUX
ajst-6049	35	19	known	know	VERB
ajst-6049	35	20	that	that	SCONJ
ajst-6049	35	21	the	the	DET
ajst-6049	35	22	growth	growth	NOUN
ajst-6049	35	23	rate	rate	NOUN
ajst-6049	35	24	of	of	ADP
ajst-6049	35	25	smoke	smoke	NOUN
ajst-6049	35	26	area	area	NOUN
ajst-6049	35	27	will	will	AUX
ajst-6049	35	28	not	not	PART
ajst-6049	35	29	exceed	exceed	VERB
ajst-6049	35	30	a	a	DET
ajst-6049	35	31	range	range	NOUN
ajst-6049	35	32	.	.	PUNCT
ajst-6049	36	1	select	select	VERB
ajst-6049	36	2	the	the	DET
ajst-6049	36	3	diffusion	diffusion	NOUN
ajst-6049	36	4	to	to	PART
ajst-6049	36	5	threshold	threshold	VERB
ajst-6049	36	6	values	value	NOUN
ajst-6049	36	7	p1	p1	NOUN
ajst-6049	36	8	and	and	CCONJ
ajst-6049	36	9	p2	p2	PROPN
ajst-6049	36	10	to	to	PART
ajst-6049	36	11	interpret	interpret	VERB
ajst-6049	36	12	whether	whether	SCONJ
ajst-6049	36	13	the	the	DET
ajst-6049	36	14	diffusion	diffusion	NOUN
ajst-6049	36	15	degree	degree	NOUN
ajst-6049	36	16	is	be	AUX
ajst-6049	36	17	between	between	ADP
ajst-6049	36	18	p1	p1	NOUN
ajst-6049	36	19	and	and	CCONJ
ajst-6049	36	20	p2	p2	NOUN
ajst-6049	36	21	.	.	PUNCT
ajst-6049	37	1	if	if	SCONJ
ajst-6049	37	2	it	it	PRON
ajst-6049	37	3	is	be	AUX
ajst-6049	37	4	within	within	ADP
ajst-6049	37	5	the	the	DET
ajst-6049	37	6	diffusion	diffusion	NOUN
ajst-6049	37	7	threshold	threshold	NOUN
ajst-6049	37	8	range	range	NOUN
ajst-6049	37	9	,	,	PUNCT
ajst-6049	37	10	it	it	PRON
ajst-6049	37	11	is	be	AUX
ajst-6049	37	12	the	the	DET
ajst-6049	37	13	target	target	NOUN
ajst-6049	37	14	region	region	NOUN
ajst-6049	37	15	,	,	PUNCT
ajst-6049	37	16	otherwise	otherwise	ADV
ajst-6049	37	17	it	it	PRON
ajst-6049	37	18	belongs	belong	VERB
ajst-6049	37	19	to	to	ADP
ajst-6049	37	20	the	the	DET
ajst-6049	37	21	interference	interference	NOUN
ajst-6049	37	22	region	region	NOUN
ajst-6049	37	23	.	.	PUNCT
ajst-6049	38	1	2.3	2.3	NUM
ajst-6049	38	2	.	.	PUNCT
ajst-6049	39	1	detection	detection	NOUN
ajst-6049	39	2	of	of	ADP
ajst-6049	39	3	smoke	smoke	NOUN
ajst-6049	39	4	color	color	NOUN
ajst-6049	39	5	characteristics	characteristic	NOUN
ajst-6049	39	6	the	the	DET
ajst-6049	39	7	general	general	ADJ
ajst-6049	39	8	color	color	NOUN
ajst-6049	39	9	of	of	ADP
ajst-6049	39	10	smoke	smoke	NOUN
ajst-6049	39	11	is	be	AUX
ajst-6049	39	12	gray	gray	ADJ
ajst-6049	39	13	and	and	CCONJ
ajst-6049	39	14	white	white	ADJ
ajst-6049	39	15	,	,	PUNCT
ajst-6049	39	16	but	but	CCONJ
ajst-6049	39	17	when	when	SCONJ
ajst-6049	39	18	the	the	DET
ajst-6049	39	19	combustible	combustible	ADJ
ajst-6049	39	20	material	material	NOUN
ajst-6049	39	21	burning	burn	VERB
ajst-6049	39	22	large	large	ADJ
ajst-6049	39	23	flame	flame	NOUN
ajst-6049	39	24	or	or	CCONJ
ajst-6049	39	25	combustion	combustion	NOUN
ajst-6049	39	26	is	be	AUX
ajst-6049	39	27	insufficient	insufficient	ADJ
ajst-6049	39	28	,	,	PUNCT
ajst-6049	39	29	it	it	PRON
ajst-6049	39	30	will	will	AUX
ajst-6049	39	31	make	make	VERB
ajst-6049	39	32	the	the	DET
ajst-6049	39	33	smoke	smoke	NOUN
ajst-6049	39	34	from	from	ADP
ajst-6049	39	35	the	the	DET
ajst-6049	39	36	original	original	ADJ
ajst-6049	39	37	gray	gray	ADJ
ajst-6049	39	38	and	and	CCONJ
ajst-6049	39	39	white	white	ADJ
ajst-6049	39	40	to	to	PART
ajst-6049	39	41	gray	gray	VERB
ajst-6049	39	42	and	and	CCONJ
ajst-6049	39	43	black	black	ADJ
ajst-6049	39	44	.	.	PUNCT
ajst-6049	40	1	in	in	ADP
ajst-6049	40	2	addition	addition	NOUN
ajst-6049	40	3	,	,	PUNCT
ajst-6049	40	4	the	the	DET
ajst-6049	40	5	gray	gray	ADJ
ajst-6049	40	6	and	and	CCONJ
ajst-6049	40	7	white	white	ADJ
ajst-6049	40	8	smoke	smoke	NOUN
ajst-6049	40	9	will	will	AUX
ajst-6049	40	10	appear	appear	VERB
ajst-6049	40	11	partly	partly	ADV
ajst-6049	40	12	translucent	translucent	ADJ
ajst-6049	40	13	color	color	NOUN
ajst-6049	40	14	and	and	CCONJ
ajst-6049	40	15	other	other	ADJ
ajst-6049	40	16	color	color	NOUN
ajst-6049	40	17	interference	interference	NOUN
ajst-6049	40	18	factors	factor	NOUN
ajst-6049	40	19	,	,	PUNCT
ajst-6049	40	20	so	so	SCONJ
ajst-6049	40	21	the	the	DET
ajst-6049	40	22	difficulty	difficulty	NOUN
ajst-6049	40	23	of	of	ADP
ajst-6049	40	24	detection	detection	NOUN
ajst-6049	40	25	is	be	AUX
ajst-6049	40	26	far	far	ADV
ajst-6049	40	27	greater	great	ADJ
ajst-6049	40	28	than	than	ADP
ajst-6049	40	29	the	the	DET
ajst-6049	40	30	gray	gray	ADJ
ajst-6049	40	31	and	and	CCONJ
ajst-6049	40	32	black	black	ADJ
ajst-6049	40	33	.	.	PUNCT
ajst-6049	41	1	it	it	PRON
ajst-6049	41	2	is	be	AUX
ajst-6049	41	3	not	not	PART
ajst-6049	41	4	ideal	ideal	ADJ
ajst-6049	41	5	to	to	PART
ajst-6049	41	6	use	use	VERB
ajst-6049	41	7	the	the	DET
ajst-6049	41	8	traditional	traditional	ADJ
ajst-6049	41	9	single	single	ADJ
ajst-6049	41	10	color	color	NOUN
ajst-6049	41	11	detection	detection	NOUN
ajst-6049	41	12	model	model	NOUN
ajst-6049	41	13	for	for	ADP
ajst-6049	41	14	block	block	NOUN
ajst-6049	41	15	processing	processing	NOUN
ajst-6049	41	16	.	.	PUNCT
ajst-6049	42	1	the	the	DET
ajst-6049	42	2	mixed	mixed	ADJ
ajst-6049	42	3	color	color	NOUN
ajst-6049	42	4	model	model	NOUN
ajst-6049	42	5	based	base	VERB
ajst-6049	42	6	on	on	ADP
ajst-6049	42	7	rgb	rgb	PROPN
ajst-6049	42	8	,	,	PUNCT
ajst-6049	42	9	hsv	hsv	PROPN
ajst-6049	42	10	and	and	CCONJ
ajst-6049	42	11	his	his	PRON
ajst-6049	42	12	is	be	AUX
ajst-6049	42	13	used	use	VERB
ajst-6049	42	14	to	to	PART
ajst-6049	42	15	segment	segment	VERB
ajst-6049	42	16	the	the	DET
ajst-6049	42	17	smoke	smoke	NOUN
ajst-6049	42	18	region	region	NOUN
ajst-6049	42	19	,	,	PUNCT
ajst-6049	42	20	and	and	CCONJ
ajst-6049	42	21	the	the	DET
ajst-6049	42	22	color	color	NOUN
ajst-6049	42	23	saturation	saturation	NOUN
ajst-6049	42	24	,	,	PUNCT
ajst-6049	42	25	color	color	NOUN
ajst-6049	42	26	brightness	brightness	NOUN
ajst-6049	42	27	and	and	CCONJ
ajst-6049	42	28	color	color	NOUN
ajst-6049	42	29	region	region	NOUN
ajst-6049	42	30	difference	difference	NOUN
ajst-6049	42	31	of	of	ADP
ajst-6049	42	32	the	the	DET
ajst-6049	42	33	pixels	pixel	NOUN
ajst-6049	42	34	in	in	ADP
ajst-6049	42	35	the	the	DET
ajst-6049	42	36	smoke	smoke	NOUN
ajst-6049	42	37	image	image	NOUN
ajst-6049	42	38	are	be	AUX
ajst-6049	42	39	used	use	VERB
ajst-6049	42	40	to	to	PART
ajst-6049	42	41	achieve	achieve	VERB
ajst-6049	42	42	the	the	DET
ajst-6049	42	43	purpose	purpose	NOUN
ajst-6049	42	44	of	of	ADP
ajst-6049	42	45	recognition	recognition	NOUN
ajst-6049	42	46	.	.	PUNCT
ajst-6049	43	1	the	the	DET
ajst-6049	43	2	first	first	ADJ
ajst-6049	43	3	is	be	AUX
ajst-6049	43	4	the	the	DET
ajst-6049	43	5	almost	almost	ADV
ajst-6049	43	6	rgb	rgb	PROPN
ajst-6049	43	7	color	color	NOUN
ajst-6049	43	8	model	model	NOUN
ajst-6049	43	9	.	.	PUNCT
ajst-6049	44	1	since	since	SCONJ
ajst-6049	44	2	the	the	DET
ajst-6049	44	3	smoke	smoke	NOUN
ajst-6049	44	4	color	color	NOUN
ajst-6049	44	5	is	be	AUX
ajst-6049	44	6	grey	grey	ADJ
ajst-6049	44	7	and	and	CCONJ
ajst-6049	44	8	white	white	ADJ
ajst-6049	44	9	,	,	PUNCT
ajst-6049	44	10	there	there	PRON
ajst-6049	44	11	is	be	VERB
ajst-6049	44	12	little	little	ADJ
ajst-6049	44	13	difference	difference	NOUN
ajst-6049	44	14	between	between	ADP
ajst-6049	44	15	the	the	DET
ajst-6049	44	16	three	three	NUM
ajst-6049	44	17	values	value	NOUN
ajst-6049	44	18	in	in	ADP
ajst-6049	44	19	the	the	DET
ajst-6049	44	20	rgb	rgb	PROPN
ajst-6049	44	21	space	space	NOUN
ajst-6049	44	22	of	of	ADP
ajst-6049	44	23	the	the	DET
ajst-6049	44	24	smoke	smoke	NOUN
ajst-6049	44	25	color	color	NOUN
ajst-6049	44	26	.	.	PUNCT
ajst-6049	45	1	the	the	DET
ajst-6049	45	2	difference	difference	NOUN
ajst-6049	45	3	threshold	threshold	NOUN
ajst-6049	45	4	between	between	ADP
ajst-6049	45	5	the	the	DET
ajst-6049	45	6	maximum	maximum	ADJ
ajst-6049	45	7	and	and	CCONJ
ajst-6049	45	8	minimum	minimum	ADJ
ajst-6049	45	9	values	value	NOUN
ajst-6049	45	10	in	in	ADP
ajst-6049	45	11	the	the	DET
ajst-6049	45	12	mean	mean	ADJ
ajst-6049	45	13	range	range	NOUN
ajst-6049	45	14	of	of	ADP
ajst-6049	45	15	the	the	DET
ajst-6049	45	16	rgb	rgb	PROPN
ajst-6049	45	17	component	component	NOUN
ajst-6049	45	18	values	value	NOUN
ajst-6049	45	19	can	can	AUX
ajst-6049	45	20	be	be	AUX
ajst-6049	45	21	used	use	VERB
ajst-6049	45	22	as	as	ADP
ajst-6049	45	23	the	the	DET
ajst-6049	45	24	criterion	criterion	NOUN
ajst-6049	45	25	.	.	PUNCT
ajst-6049	46	1	therefore	therefore	ADV
ajst-6049	46	2	,	,	PUNCT
ajst-6049	46	3	in	in	ADP
ajst-6049	46	4	rgb	rgb	PROPN
ajst-6049	46	5	color	color	NOUN
ajst-6049	46	6	space	space	NOUN
ajst-6049	46	7	,	,	PUNCT
ajst-6049	46	8	smoke	smoke	NOUN
ajst-6049	46	9	color	color	NOUN
ajst-6049	46	10	meets	meet	VERB
ajst-6049	46	11	:	:	PUNCT
ajst-6049	46	12	|𝑀𝑎𝑥	|𝑀𝑎𝑥	PROPN
ajst-6049	46	13	𝑅	𝑅	PROPN
ajst-6049	46	14	,	,	PUNCT
ajst-6049	46	15	𝐺	𝐺	PROPN
ajst-6049	46	16	,	,	PUNCT
ajst-6049	46	17	𝐵	𝐵	PROPN
ajst-6049	46	18	𝑀𝑖𝑛	𝑀𝑖𝑛	PROPN
ajst-6049	46	19	𝑅	𝑅	PROPN
ajst-6049	46	20	,	,	PUNCT
ajst-6049	46	21	𝐺	𝐺	PROPN
ajst-6049	46	22	,	,	PUNCT
ajst-6049	46	23	𝐵	𝐵	PROPN
ajst-6049	46	24	|	|	PROPN
ajst-6049	46	25	𝑀	𝑀	PROPN
ajst-6049	46	26	(	(	PUNCT
ajst-6049	46	27	3	3	NUM
ajst-6049	46	28	)	)	PUNCT
ajst-6049	46	29	𝑀	𝑀	PROPN
ajst-6049	46	30	𝐴𝑣𝑔	𝐴𝑣𝑔	PROPN
ajst-6049	46	31	𝑅	𝑅	PROPN
ajst-6049	46	32	,	,	PUNCT
ajst-6049	46	33	𝐺	𝐺	PROPN
ajst-6049	46	34	,	,	PUNCT
ajst-6049	46	35	𝐵	𝐵	PROPN
ajst-6049	46	36	𝑀	𝑀	PROPN
ajst-6049	46	37	(	(	PUNCT
ajst-6049	46	38	4	4	X
ajst-6049	46	39	)	)	PUNCT
ajst-6049	46	40	the	the	DET
ajst-6049	46	41	second	second	NOUN
ajst-6049	46	42	is	be	AUX
ajst-6049	46	43	based	base	VERB
ajst-6049	46	44	on	on	ADP
ajst-6049	46	45	the	the	DET
ajst-6049	46	46	hsv	hsv	PROPN
ajst-6049	46	47	color	color	NOUN
ajst-6049	46	48	model	model	NOUN
ajst-6049	46	49	.	.	PUNCT
ajst-6049	47	1	due	due	ADP
ajst-6049	47	2	to	to	ADP
ajst-6049	47	3	the	the	DET
ajst-6049	47	4	different	different	ADJ
ajst-6049	47	5	shades	shade	NOUN
ajst-6049	47	6	of	of	ADP
ajst-6049	47	7	smoke	smoke	NOUN
ajst-6049	47	8	color	color	NOUN
ajst-6049	47	9	,	,	PUNCT
ajst-6049	47	10	the	the	DET
ajst-6049	47	11	degree	degree	NOUN
ajst-6049	47	12	of	of	ADP
ajst-6049	47	13	diffuse	diffuse	ADJ
ajst-6049	47	14	reflection	reflection	NOUN
ajst-6049	47	15	in	in	ADP
ajst-6049	47	16	the	the	DET
ajst-6049	47	17	hsv	hsv	NOUN
ajst-6049	47	18	features	feature	NOUN
ajst-6049	47	19	is	be	AUX
ajst-6049	47	20	different	different	ADJ
ajst-6049	47	21	.	.	PUNCT
ajst-6049	48	1	the	the	DET
ajst-6049	48	2	brightness	brightness	NOUN
ajst-6049	48	3	v	v	NOUN
ajst-6049	48	4	of	of	ADP
ajst-6049	48	5	the	the	DET
ajst-6049	48	6	hsv	hsv	PROPN
ajst-6049	48	7	space	space	NOUN
ajst-6049	48	8	of	of	ADP
ajst-6049	48	9	smoke	smoke	NOUN
ajst-6049	48	10	color	color	NOUN
ajst-6049	48	11	gradually	gradually	ADV
ajst-6049	48	12	declines	decline	VERB
ajst-6049	48	13	from	from	ADP
ajst-6049	48	14	inside	inside	ADV
ajst-6049	48	15	to	to	ADP
ajst-6049	48	16	outside	outside	NOUN
ajst-6049	48	17	.	.	PUNCT
ajst-6049	49	1	moreover	moreover	ADV
ajst-6049	49	2	,	,	PUNCT
ajst-6049	49	3	it	it	PRON
ajst-6049	49	4	is	be	AUX
ajst-6049	49	5	the	the	DET
ajst-6049	49	6	influence	influence	NOUN
ajst-6049	49	7	of	of	ADP
ajst-6049	49	8	temperature	temperature	NOUN
ajst-6049	49	9	.	.	PUNCT
ajst-6049	50	1	most	most	ADJ
ajst-6049	50	2	smoke	smoke	NOUN
ajst-6049	50	3	colors	color	NOUN
ajst-6049	50	4	are	be	AUX
ajst-6049	50	5	light	light	ADJ
ajst-6049	50	6	blue	blue	ADJ
ajst-6049	50	7	when	when	SCONJ
ajst-6049	50	8	they	they	PRON
ajst-6049	50	9	are	be	AUX
ajst-6049	50	10	low	low	ADJ
ajst-6049	50	11	,	,	PUNCT
ajst-6049	50	12	so	so	ADV
ajst-6049	50	13	h	h	NOUN
ajst-6049	50	14	changes	change	NOUN
ajst-6049	50	15	in	in	ADP
ajst-6049	50	16	the	the	DET
ajst-6049	50	17	blue	blue	ADJ
ajst-6049	50	18	area	area	NOUN
ajst-6049	50	19	.	.	PUNCT
ajst-6049	51	1	therefore	therefore	ADV
ajst-6049	51	2	,	,	PUNCT
ajst-6049	51	3	smoke	smoke	NOUN
ajst-6049	51	4	color	color	NOUN
ajst-6049	51	5	can	can	AUX
ajst-6049	51	6	be	be	AUX
ajst-6049	51	7	judged	judge	VERB
ajst-6049	51	8	according	accord	VERB
ajst-6049	51	9	to	to	ADP
ajst-6049	51	10	the	the	DET
ajst-6049	51	11	threshold	threshold	NOUN
ajst-6049	51	12	range	range	NOUN
ajst-6049	51	13	between	between	ADP
ajst-6049	51	14	brightness	brightness	NOUN
ajst-6049	51	15	v	v	NOUN
ajst-6049	51	16	and	and	CCONJ
ajst-6049	51	17	hue	hue	NOUN
ajst-6049	51	18	h	h	NOUN
ajst-6049	51	19	in	in	ADP
ajst-6049	51	20	hsv	hsv	PROPN
ajst-6049	51	21	.	.	PUNCT
ajst-6049	52	1	in	in	ADP
ajst-6049	52	2	the	the	DET
ajst-6049	52	3	space	space	NOUN
ajst-6049	52	4	of	of	ADP
ajst-6049	52	5	smoke	smoke	NOUN
ajst-6049	52	6	color	color	NOUN
ajst-6049	52	7	hsv	hsv	PROPN
ajst-6049	52	8	,	,	PUNCT
ajst-6049	52	9	this	this	DET
ajst-6049	52	10	formula	formula	NOUN
ajst-6049	52	11	should	should	AUX
ajst-6049	52	12	be	be	AUX
ajst-6049	52	13	satisfied	satisfied	ADJ
ajst-6049	52	14	:	:	PUNCT
ajst-6049	52	15	𝐻	𝐻	PROPN
ajst-6049	52	16	∈	∈	PROPN
ajst-6049	52	17	𝐻	𝐻	NOUN
ajst-6049	52	18	,	,	PUNCT
ajst-6049	52	19	𝐻	𝐻	PROPN
ajst-6049	52	20	,	,	PUNCT
ajst-6049	52	21	(	(	PUNCT
ajst-6049	52	22	5	5	X
ajst-6049	52	23	)	)	PUNCT
ajst-6049	52	24	𝑆	𝑆	PROPN
ajst-6049	52	25	∈	∈	PROPN
ajst-6049	52	26	𝑆	𝑆	PROPN
ajst-6049	52	27	,	,	PUNCT
ajst-6049	52	28	𝑆	𝑆	PROPN
ajst-6049	52	29	,	,	PUNCT
ajst-6049	52	30	(	(	PUNCT
ajst-6049	52	31	6	6	X
ajst-6049	52	32	)	)	PUNCT
ajst-6049	52	33	𝑉	𝑉	PROPN
ajst-6049	52	34	∈	∈	PROPN
ajst-6049	52	35	𝑉	𝑉	PROPN
ajst-6049	52	36	,	,	PUNCT
ajst-6049	52	37	𝑉	𝑉	PROPN
ajst-6049	52	38	(	(	PUNCT
ajst-6049	52	39	7	7	NUM
ajst-6049	52	40	)	)	PUNCT
ajst-6049	52	41	third	third	ADJ
ajst-6049	52	42	,	,	PUNCT
ajst-6049	52	43	based	base	VERB
ajst-6049	52	44	on	on	ADP
ajst-6049	52	45	his	his	PRON
ajst-6049	52	46	color	color	NOUN
ajst-6049	52	47	model	model	NOUN
ajst-6049	52	48	,	,	PUNCT
ajst-6049	52	49	it	it	PRON
ajst-6049	52	50	is	be	AUX
ajst-6049	52	51	known	know	VERB
ajst-6049	52	52	that	that	SCONJ
ajst-6049	52	53	smoke	smoke	NOUN
ajst-6049	52	54	color	color	NOUN
ajst-6049	52	55	has	have	VERB
ajst-6049	52	56	semi	semi	NOUN
ajst-6049	52	57	-	-	NOUN
ajst-6049	52	58	transparency	transparency	NOUN
ajst-6049	52	59	.	.	PUNCT
ajst-6049	53	1	therefore	therefore	ADV
ajst-6049	53	2	,	,	PUNCT
ajst-6049	53	3	the	the	DET
ajst-6049	53	4	color	color	NOUN
ajst-6049	53	5	saturation	saturation	NOUN
ajst-6049	53	6	is	be	AUX
ajst-6049	53	7	higher	high	ADJ
ajst-6049	53	8	in	in	ADP
ajst-6049	53	9	the	the	DET
ajst-6049	53	10	area	area	NOUN
ajst-6049	53	11	with	with	ADP
ajst-6049	53	12	high	high	ADJ
ajst-6049	53	13	smoke	smoke	NOUN
ajst-6049	53	14	concentration	concentration	NOUN
ajst-6049	53	15	,	,	PUNCT
ajst-6049	53	16	and	and	CCONJ
ajst-6049	53	17	the	the	DET
ajst-6049	53	18	color	color	NOUN
ajst-6049	53	19	saturation	saturation	NOUN
ajst-6049	53	20	is	be	AUX
ajst-6049	53	21	lower	low	ADJ
ajst-6049	53	22	in	in	ADP
ajst-6049	53	23	the	the	DET
ajst-6049	53	24	area	area	NOUN
ajst-6049	53	25	with	with	ADP
ajst-6049	53	26	low	low	ADJ
ajst-6049	53	27	concentration	concentration	NOUN
ajst-6049	53	28	at	at	ADP
ajst-6049	53	29	the	the	DET
ajst-6049	53	30	edge	edge	NOUN
ajst-6049	53	31	of	of	ADP
ajst-6049	53	32	smoke	smoke	NOUN
ajst-6049	53	33	.	.	PUNCT
ajst-6049	54	1	when	when	SCONJ
ajst-6049	54	2	the	the	DET
ajst-6049	54	3	concentration	concentration	NOUN
ajst-6049	54	4	of	of	ADP
ajst-6049	54	5	smoke	smoke	NOUN
ajst-6049	54	6	changes	change	NOUN
ajst-6049	54	7	from	from	ADP
ajst-6049	54	8	thick	thick	ADJ
ajst-6049	54	9	to	to	ADP
ajst-6049	54	10	thin	thin	ADJ
ajst-6049	54	11	,	,	PUNCT
ajst-6049	54	12	its	its	PRON
ajst-6049	54	13	saturation	saturation	NOUN
ajst-6049	54	14	should	should	AUX
ajst-6049	54	15	be	be	AUX
ajst-6049	54	16	high	high	ADJ
ajst-6049	54	17	to	to	PART
ajst-6049	54	18	low	low	ADJ
ajst-6049	54	19	.	.	PUNCT
ajst-6049	55	1	and	and	CCONJ
ajst-6049	55	2	the	the	DET
ajst-6049	55	3	threshold	threshold	NOUN
ajst-6049	55	4	value	value	NOUN
ajst-6049	55	5	of	of	ADP
ajst-6049	55	6	smoke	smoke	NOUN
ajst-6049	55	7	saturation	saturation	NOUN
ajst-6049	55	8	changes	change	NOUN
ajst-6049	55	9	between	between	ADP
ajst-6049	55	10	saturation	saturation	NOUN
ajst-6049	55	11	s	s	NOUN
ajst-6049	55	12	and	and	CCONJ
ajst-6049	55	13	saturation	saturation	NOUN
ajst-6049	55	14	i	i	PRON
ajst-6049	55	15	,	,	PUNCT
ajst-6049	55	16	which	which	PRON
ajst-6049	55	17	is	be	AUX
ajst-6049	55	18	also	also	ADV
ajst-6049	55	19	the	the	DET
ajst-6049	55	20	basis	basis	NOUN
ajst-6049	55	21	for	for	ADP
ajst-6049	55	22	judging	judge	VERB
ajst-6049	55	23	the	the	DET
ajst-6049	55	24	color	color	NOUN
ajst-6049	55	25	of	of	ADP
ajst-6049	55	26	smoke	smoke	NOUN
ajst-6049	55	27	.	.	PUNCT
ajst-6049	56	1	in	in	ADP
ajst-6049	56	2	his	his	PRON
ajst-6049	56	3	color	color	NOUN
ajst-6049	56	4	space	space	NOUN
ajst-6049	56	5	,	,	PUNCT
ajst-6049	56	6	smoke	smoke	NOUN
ajst-6049	56	7	satisfies	satisfy	VERB
ajst-6049	56	8	this	this	DET
ajst-6049	56	9	formula	formula	NOUN
ajst-6049	56	10	:	:	PUNCT
ajst-6049	56	11	𝑆	𝑆	PROPN
ajst-6049	56	12	∈	∈	PROPN
ajst-6049	56	13	𝑆	𝑆	PROPN
ajst-6049	56	14	,	,	PUNCT
ajst-6049	56	15	𝑆	𝑆	PROPN
ajst-6049	56	16	,	,	PUNCT
ajst-6049	56	17	(	(	PUNCT
ajst-6049	56	18	8)	8)	NUM
ajst-6049	56	19	𝐼	𝐼	ADP
ajst-6049	56	20	∈	∈	NOUN
ajst-6049	56	21	𝐼	𝐼	PROPN
ajst-6049	56	22	,	,	PUNCT
ajst-6049	56	23	𝐼	𝐼	PROPN
ajst-6049	56	24	(	(	PUNCT
ajst-6049	56	25	9	9	NUM
ajst-6049	56	26	)	)	PUNCT
ajst-6049	56	27	finally	finally	ADV
ajst-6049	56	28	,	,	PUNCT
ajst-6049	56	29	the	the	DET
ajst-6049	56	30	smoke	smoke	NOUN
ajst-6049	56	31	regions	region	NOUN
ajst-6049	56	32	divided	divide	VERB
ajst-6049	56	33	by	by	ADP
ajst-6049	56	34	rgb	rgb	PROPN
ajst-6049	56	35	,	,	PUNCT
ajst-6049	56	36	hsv	hsv	PROPN
ajst-6049	56	37	and	and	CCONJ
ajst-6049	56	38	his	his	PRON
ajst-6049	56	39	are	be	AUX
ajst-6049	56	40	binarized	binarize	VERB
ajst-6049	56	41	respectively	respectively	ADV
ajst-6049	56	42	,	,	PUNCT
ajst-6049	56	43	and	and	CCONJ
ajst-6049	56	44	then	then	ADV
ajst-6049	56	45	the	the	DET
ajst-6049	56	46	binarized	binarized	ADJ
ajst-6049	56	47	graphics	graphic	NOUN
ajst-6049	56	48	are	be	AUX
ajst-6049	56	49	operated	operate	VERB
ajst-6049	56	50	logically	logically	ADV
ajst-6049	56	51	to	to	ADP
ajst-6049	56	52	segment	segment	VERB
ajst-6049	56	53	and	and	CCONJ
ajst-6049	56	54	detect	detect	VERB
ajst-6049	56	55	the	the	DET
ajst-6049	56	56	smoke	smoke	NOUN
ajst-6049	56	57	in	in	ADP
ajst-6049	56	58	the	the	DET
ajst-6049	56	59	video	video	NOUN
ajst-6049	56	60	.	.	PUNCT
ajst-6049	57	1	3	3	X
ajst-6049	57	2	.	.	X
ajst-6049	57	3	smoke	smoke	NOUN
ajst-6049	57	4	detection	detection	NOUN
ajst-6049	57	5	algorithm	algorithm	NOUN
ajst-6049	57	6	3.1	3.1	NUM
ajst-6049	57	7	.	.	PUNCT
ajst-6049	57	8	video	video	NOUN
ajst-6049	57	9	frame	frame	NOUN
ajst-6049	57	10	conversion	conversion	NOUN
ajst-6049	57	11	according	accord	VERB
ajst-6049	57	12	to	to	ADP
ajst-6049	57	13	the	the	DET
ajst-6049	57	14	resolution	resolution	NOUN
ajst-6049	57	15	,	,	PUNCT
ajst-6049	57	16	each	each	DET
ajst-6049	57	17	frame	frame	NOUN
ajst-6049	57	18	in	in	ADP
ajst-6049	57	19	the	the	DET
ajst-6049	57	20	smoke	smoke	NOUN
ajst-6049	57	21	video	video	NOUN
ajst-6049	57	22	image	image	NOUN
ajst-6049	57	23	is	be	AUX
ajst-6049	57	24	preprocessed	preprocesse	VERB
ajst-6049	57	25	respectively	respectively	ADV
ajst-6049	57	26	from	from	ADP
ajst-6049	57	27	the	the	DET
ajst-6049	57	28	model	model	NOUN
ajst-6049	57	29	conversion	conversion	NOUN
ajst-6049	57	30	of	of	ADP
ajst-6049	57	31	the	the	DET
ajst-6049	57	32	smoke	smoke	NOUN
ajst-6049	57	33	color	color	NOUN
ajst-6049	57	34	,	,	PUNCT
ajst-6049	57	35	the	the	DET
ajst-6049	57	36	filter	filter	NOUN
ajst-6049	57	37	color	color	NOUN
ajst-6049	57	38	of	of	ADP
ajst-6049	57	39	the	the	DET
ajst-6049	57	40	image	image	NOUN
ajst-6049	57	41	,	,	PUNCT
ajst-6049	57	42	the	the	DET
ajst-6049	57	43	gray	gray	ADJ
ajst-6049	57	44	degree	degree	NOUN
ajst-6049	57	45	of	of	ADP
ajst-6049	57	46	the	the	DET
ajst-6049	57	47	image	image	NOUN
ajst-6049	57	48	,	,	PUNCT
ajst-6049	57	49	the	the	DET
ajst-6049	57	50	external	external	ADJ
ajst-6049	57	51	illumination	illumination	NOUN
ajst-6049	57	52	factor	factor	NOUN
ajst-6049	57	53	and	and	CCONJ
ajst-6049	57	54	the	the	DET
ajst-6049	57	55	reduction	reduction	NOUN
ajst-6049	57	56	of	of	ADP
ajst-6049	57	57	noise	noise	NOUN
ajst-6049	57	58	,	,	PUNCT
ajst-6049	57	59	so	so	SCONJ
ajst-6049	57	60	that	that	SCONJ
ajst-6049	57	61	the	the	DET
ajst-6049	57	62	difference	difference	NOUN
ajst-6049	57	63	of	of	ADP
ajst-6049	57	64	the	the	DET
ajst-6049	57	65	processing	processing	NOUN
ajst-6049	57	66	method	method	NOUN
ajst-6049	57	67	can	can	AUX
ajst-6049	57	68	be	be	AUX
ajst-6049	57	69	determined	determine	VERB
ajst-6049	57	70	by	by	ADP
ajst-6049	57	71	comparing	compare	VERB
ajst-6049	57	72	the	the	DET
ajst-6049	57	73	color	color	NOUN
ajst-6049	57	74	of	of	ADP
ajst-6049	57	75	the	the	DET
ajst-6049	57	76	smoke	smoke	NOUN
ajst-6049	57	77	.	.	PUNCT
ajst-6049	58	1	this	this	PRON
ajst-6049	58	2	improves	improve	VERB
ajst-6049	58	3	algorithm	algorithm	NOUN
ajst-6049	58	4	performance	performance	NOUN
ajst-6049	58	5	and	and	CCONJ
ajst-6049	58	6	reduces	reduce	VERB
ajst-6049	58	7	false	false	ADJ
ajst-6049	58	8	positives	positive	NOUN
ajst-6049	58	9	.	.	PUNCT
ajst-6049	59	1	the	the	DET
ajst-6049	59	2	algorithm	algorithm	NOUN
ajst-6049	59	3	also	also	ADV
ajst-6049	59	4	includes	include	VERB
ajst-6049	59	5	motion	motion	NOUN
ajst-6049	59	6	detection	detection	NOUN
ajst-6049	59	7	and	and	CCONJ
ajst-6049	59	8	frame	frame	NOUN
ajst-6049	59	9	conversion	conversion	NOUN
ajst-6049	59	10	to	to	ADP
ajst-6049	59	11	binary	binary	NOUN
ajst-6049	59	12	,	,	PUNCT
ajst-6049	59	13	reducing	reduce	VERB
ajst-6049	59	14	unwanted	unwanted	ADJ
ajst-6049	59	15	brightness	brightness	NOUN
ajst-6049	59	16	factors	factor	NOUN
ajst-6049	59	17	and	and	CCONJ
ajst-6049	59	18	preparing	prepare	VERB
ajst-6049	59	19	for	for	ADP
ajst-6049	59	20	subsequent	subsequent	ADJ
ajst-6049	59	21	smoke	smoke	NOUN
ajst-6049	59	22	recognition	recognition	NOUN
ajst-6049	59	23	.	.	PUNCT
ajst-6049	60	1	3.2	3.2	NUM
ajst-6049	60	2	.	.	PUNCT
ajst-6049	60	3	motion	motion	NOUN
ajst-6049	60	4	detection	detection	NOUN
ajst-6049	60	5	and	and	CCONJ
ajst-6049	60	6	color	color	NOUN
ajst-6049	60	7	conversion	conversion	NOUN
ajst-6049	60	8	motion	motion	NOUN
ajst-6049	60	9	detection	detection	NOUN
ajst-6049	60	10	is	be	AUX
ajst-6049	60	11	carried	carry	VERB
ajst-6049	60	12	out	out	ADP
ajst-6049	60	13	on	on	ADP
ajst-6049	60	14	the	the	DET
ajst-6049	60	15	preprocessed	preprocesse	VERB
ajst-6049	60	16	smoke	smoke	NOUN
ajst-6049	60	17	image	image	NOUN
ajst-6049	60	18	,	,	PUNCT
ajst-6049	60	19	the	the	DET
ajst-6049	60	20	steps	step	NOUN
ajst-6049	60	21	of	of	ADP
ajst-6049	60	22	extracting	extract	VERB
ajst-6049	60	23	the	the	DET
ajst-6049	60	24	target	target	NOUN
ajst-6049	60	25	of	of	ADP
ajst-6049	60	26	each	each	DET
ajst-6049	60	27	frame	frame	NOUN
ajst-6049	60	28	are	be	AUX
ajst-6049	60	29	extracted	extract	VERB
ajst-6049	60	30	,	,	PUNCT
ajst-6049	60	31	each	each	DET
ajst-6049	60	32	frame	frame	NOUN
ajst-6049	60	33	detected	detect	VERB
ajst-6049	60	34	is	be	AUX
ajst-6049	60	35	stored	store	VERB
ajst-6049	60	36	as	as	ADP
ajst-6049	60	37	the	the	DET
ajst-6049	60	38	background	background	NOUN
ajst-6049	60	39	,	,	PUNCT
ajst-6049	60	40	and	and	CCONJ
ajst-6049	60	41	the	the	DET
ajst-6049	60	42	difference	difference	NOUN
ajst-6049	60	43	between	between	ADP
ajst-6049	60	44	the	the	DET
ajst-6049	60	45	sequential	sequential	ADJ
ajst-6049	60	46	frames	frame	NOUN
ajst-6049	60	47	is	be	AUX
ajst-6049	60	48	found	find	VERB
ajst-6049	60	49	.	.	PUNCT
ajst-6049	61	1	the	the	DET
ajst-6049	61	2	use	use	NOUN
ajst-6049	61	3	of	of	ADP
ajst-6049	61	4	subtraction	subtraction	NOUN
ajst-6049	61	5	between	between	ADP
ajst-6049	61	6	sequence	sequence	NOUN
ajst-6049	61	7	frames	frame	NOUN
ajst-6049	61	8	using	use	VERB
ajst-6049	61	9	specific	specific	ADJ
ajst-6049	61	10	steps	step	NOUN
ajst-6049	61	11	increases	increase	VERB
ajst-6049	61	12	processing	process	VERB
ajst-6049	61	13	speed	speed	NOUN
ajst-6049	61	14	and	and	CCONJ
ajst-6049	61	15	reduces	reduce	VERB
ajst-6049	61	16	processing	processing	NOUN
ajst-6049	61	17	time	time	NOUN
ajst-6049	61	18	,	,	PUNCT
ajst-6049	61	19	thus	thus	ADV
ajst-6049	61	20	facilitating	facilitate	VERB
ajst-6049	61	21	the	the	DET
ajst-6049	61	22	detection	detection	NOUN
ajst-6049	61	23	of	of	ADP
ajst-6049	61	24	differences	difference	NOUN
ajst-6049	61	25	between	between	ADP
ajst-6049	61	26	frames	frame	NOUN
ajst-6049	61	27	and	and	CCONJ
ajst-6049	61	28	determining	determine	VERB
ajst-6049	61	29	the	the	DET
ajst-6049	61	30	final	final	ADJ
ajst-6049	61	31	goal	goal	NOUN
ajst-6049	61	32	of	of	ADP
ajst-6049	61	33	each	each	DET
ajst-6049	61	34	frame	frame	NOUN
ajst-6049	61	35	.	.	PUNCT
ajst-6049	62	1	the	the	DET
ajst-6049	62	2	tracking	tracking	NOUN
ajst-6049	62	3	mechanism	mechanism	NOUN
ajst-6049	62	4	for	for	ADP
ajst-6049	62	5	each	each	DET
ajst-6049	62	6	object	object	NOUN
ajst-6049	62	7	to	to	PART
ajst-6049	62	8	determine	determine	VERB
ajst-6049	62	9	the	the	DET
ajst-6049	62	10	coordinates	coordinate	NOUN
ajst-6049	62	11	to	to	PART
ajst-6049	62	12	store	store	VERB
ajst-6049	62	13	is	be	AUX
ajst-6049	62	14	labeled	label	VERB
ajst-6049	62	15	:	:	PUNCT
ajst-6049	62	16	𝑑	𝑑	NOUN
ajst-6049	62	17	,	,	PUNCT
ajst-6049	62	18	𝑎𝑏𝑠	𝑎𝑏𝑠	VERB
ajst-6049	62	19	𝐶	𝐶	PROPN
ajst-6049	62	20	𝑥	𝑥	PROPN
ajst-6049	62	21	,	,	PUNCT
ajst-6049	62	22	𝑦	𝑦	NOUN
ajst-6049	62	23	,	,	PUNCT
ajst-6049	63	1	𝑛	𝑛	DET
ajst-6049	63	2	𝐶	𝐶	PROPN
ajst-6049	63	3	𝑥	𝑥	PROPN
ajst-6049	63	4	,	,	PUNCT
ajst-6049	63	5	𝑦	𝑦	PROPN
ajst-6049	63	6	,	,	PUNCT
ajst-6049	63	7	𝑛	𝑛	PRON
ajst-6049	63	8	(	(	PUNCT
ajst-6049	63	9	10	10	NUM
ajst-6049	63	10	)	)	PUNCT
ajst-6049	63	11	c	c	NOUN
ajst-6049	63	12	represents	represent	VERB
ajst-6049	63	13	image	image	NOUN
ajst-6049	63	14	sequence	sequence	NOUN
ajst-6049	63	15	number	number	NOUN
ajst-6049	63	16	,	,	PUNCT
ajst-6049	63	17	n	n	PRON
ajst-6049	63	18	represents	represent	VERB
ajst-6049	63	19	frame	frame	NOUN
ajst-6049	63	20	number	number	NOUN
ajst-6049	63	21	,	,	PUNCT
ajst-6049	63	22	where	where	SCONJ
ajst-6049	63	23	d	d	X
ajst-6049	63	24	>	>	X
ajst-6049	63	25	t	t	PROPN
ajst-6049	63	26	is	be	AUX
ajst-6049	63	27	taken	take	VERB
ajst-6049	63	28	as	as	ADP
ajst-6049	63	29	extraction	extraction	NOUN
ajst-6049	63	30	object	object	NOUN
ajst-6049	63	31	,	,	PUNCT
ajst-6049	63	32	when	when	SCONJ
ajst-6049	63	33	d	d	PROPN
ajst-6049	63	34	>	>	X
ajst-6049	63	35	t	t	PROPN
ajst-6049	63	36	,	,	PUNCT
ajst-6049	63	37	i	i	PRON
ajst-6049	63	38	=	=	PUNCT
ajst-6049	63	39	i+1	i+1	VERB
ajst-6049	63	40	.	.	PUNCT
ajst-6049	64	1	in	in	ADP
ajst-6049	64	2	the	the	DET
ajst-6049	64	3	extraction	extraction	NOUN
ajst-6049	64	4	algorithm	algorithm	NOUN
ajst-6049	64	5	,	,	PUNCT
ajst-6049	64	6	when	when	SCONJ
ajst-6049	64	7	each	each	DET
ajst-6049	64	8	object	object	NOUN
ajst-6049	64	9	tests	test	VERB
ajst-6049	64	10	the	the	DET
ajst-6049	64	11	frame	frame	NOUN
ajst-6049	64	12	,	,	PUNCT
ajst-6049	64	13	the	the	DET
ajst-6049	64	14	frame	frame	NOUN
ajst-6049	64	15	will	will	AUX
ajst-6049	64	16	be	be	AUX
ajst-6049	64	17	converted	convert	VERB
ajst-6049	64	18	to	to	ADP
ajst-6049	64	19	hsv	hsv	PROPN
ajst-6049	64	20	color	color	NOUN
ajst-6049	64	21	space	space	NOUN
ajst-6049	64	22	,	,	PUNCT
ajst-6049	64	23	so	so	SCONJ
ajst-6049	64	24	as	as	SCONJ
ajst-6049	64	25	to	to	PART
ajst-6049	64	26	determine	determine	VERB
ajst-6049	64	27	the	the	DET
ajst-6049	64	28	value	value	NOUN
ajst-6049	64	29	from	from	ADP
ajst-6049	64	30	all	all	DET
ajst-6049	64	31	objects	object	NOUN
ajst-6049	64	32	in	in	ADP
ajst-6049	64	33	the	the	DET
ajst-6049	64	34	frame	frame	NOUN
ajst-6049	64	35	.	.	PUNCT
ajst-6049	65	1	the	the	DET
ajst-6049	65	2	v	v	NOUN
ajst-6049	65	3	value	value	NOUN
ajst-6049	65	4	can	can	AUX
ajst-6049	65	5	be	be	AUX
ajst-6049	65	6	obtained	obtain	VERB
ajst-6049	65	7	from	from	ADP
ajst-6049	65	8	the	the	DET
ajst-6049	65	9	following	follow	VERB
ajst-6049	65	10	formula	formula	NOUN
ajst-6049	65	11	:	:	PUNCT
ajst-6049	65	12	v	v	NUM
ajst-6049	65	13	max	max	PROPN
ajst-6049	65	14	r	r	NOUN
ajst-6049	65	15	x	x	PROPN
ajst-6049	65	16	,	,	PUNCT
ajst-6049	65	17	y	y	PROPN
ajst-6049	65	18	,	,	PUNCT
ajst-6049	65	19	g	g	PROPN
ajst-6049	65	20	i	i	PROPN
ajst-6049	65	21	,	,	PUNCT
ajst-6049	65	22	j	j	PROPN
ajst-6049	65	23	,	,	PUNCT
ajst-6049	65	24	b	b	PROPN
ajst-6049	66	1	i	i	PROPN
ajst-6049	66	2	,	,	PUNCT
ajst-6049	66	3	j	j	PROPN
ajst-6049	66	4	(	(	PUNCT
ajst-6049	66	5	11	11	NUM
ajst-6049	66	6	)	)	PUNCT
ajst-6049	66	7	61	61	NUM
ajst-6049	66	8	3.3	3.3	NUM
ajst-6049	66	9	.	.	PUNCT
ajst-6049	67	1	standard	standard	ADJ
ajst-6049	67	2	deviation	deviation	NOUN
ajst-6049	67	3	value	value	NOUN
ajst-6049	67	4	for	for	ADP
ajst-6049	67	5	smoke	smoke	NOUN
ajst-6049	67	6	detection	detection	NOUN
ajst-6049	67	7	after	after	SCONJ
ajst-6049	67	8	the	the	DET
ajst-6049	67	9	target	target	NOUN
ajst-6049	67	10	is	be	AUX
ajst-6049	67	11	extracted	extract	VERB
ajst-6049	67	12	,	,	PUNCT
ajst-6049	67	13	the	the	DET
ajst-6049	67	14	smoke	smoke	NOUN
ajst-6049	67	15	is	be	AUX
ajst-6049	67	16	individually	individually	ADV
ajst-6049	67	17	examined	examine	VERB
ajst-6049	67	18	,	,	PUNCT
ajst-6049	67	19	and	and	CCONJ
ajst-6049	67	20	it	it	PRON
ajst-6049	67	21	varies	vary	VERB
ajst-6049	67	22	in	in	ADP
ajst-6049	67	23	brightness	brightness	NOUN
ajst-6049	67	24	and	and	CCONJ
ajst-6049	67	25	color	color	NOUN
ajst-6049	67	26	over	over	ADP
ajst-6049	67	27	a	a	DET
ajst-6049	67	28	range	range	NOUN
ajst-6049	67	29	of	of	ADP
ajst-6049	67	30	ranges	range	NOUN
ajst-6049	67	31	,	,	PUNCT
ajst-6049	67	32	from	from	ADP
ajst-6049	67	33	a	a	DET
ajst-6049	67	34	clear	clear	ADJ
ajst-6049	67	35	grayish	grayish	ADJ
ajst-6049	67	36	white	white	ADJ
ajst-6049	67	37	to	to	ADP
ajst-6049	67	38	a	a	DET
ajst-6049	67	39	grayish	grayish	ADJ
ajst-6049	67	40	blue	blue	NOUN
ajst-6049	67	41	.	.	PUNCT
ajst-6049	68	1	in	in	ADP
ajst-6049	68	2	the	the	DET
ajst-6049	68	3	analysis	analysis	NOUN
ajst-6049	68	4	of	of	ADP
ajst-6049	68	5	smoke	smoke	NOUN
ajst-6049	68	6	intensity	intensity	NOUN
ajst-6049	68	7	region	region	NOUN
ajst-6049	68	8	,	,	PUNCT
ajst-6049	68	9	the	the	DET
ajst-6049	68	10	smoke	smoke	NOUN
ajst-6049	68	11	color	color	NOUN
ajst-6049	68	12	condition	condition	NOUN
ajst-6049	68	13	value	value	NOUN
ajst-6049	68	14	of	of	ADP
ajst-6049	68	15	rgb	rgb	PROPN
ajst-6049	68	16	color	color	NOUN
ajst-6049	68	17	space	space	NOUN
ajst-6049	68	18	is	be	AUX
ajst-6049	68	19	determined	determine	VERB
ajst-6049	68	20	by	by	ADP
ajst-6049	68	21	𝑅	𝑅	PROPN
ajst-6049	68	22	𝑎	𝑎	PROPN
ajst-6049	68	23	𝐺	𝐺	NOUN
ajst-6049	68	24	𝑎	𝑎	PROPN
ajst-6049	68	25	𝐵	𝐵	NOUN
ajst-6049	68	26	𝑎	𝑎	X
ajst-6049	68	27	(	(	PUNCT
ajst-6049	68	28	12	12	NUM
ajst-6049	68	29	)	)	PUNCT
ajst-6049	68	30	get	get	NOUN
ajst-6049	68	31	,	,	PUNCT
ajst-6049	68	32	indicating	indicate	VERB
ajst-6049	68	33	that	that	SCONJ
ajst-6049	68	34	the	the	DET
ajst-6049	68	35	three	three	NUM
ajst-6049	68	36	components	component	NOUN
ajst-6049	68	37	(	(	PUNCT
ajst-6049	68	38	rgb	rgb	PROPN
ajst-6049	68	39	)	)	PUNCT
ajst-6049	68	40	of	of	ADP
ajst-6049	68	41	the	the	DET
ajst-6049	68	42	smoke	smoke	NOUN
ajst-6049	68	43	pixel	pixel	NOUN
ajst-6049	68	44	are	be	AUX
ajst-6049	68	45	equal	equal	ADJ
ajst-6049	68	46	.	.	PUNCT
ajst-6049	69	1	in	in	ADP
ajst-6049	69	2	order	order	NOUN
ajst-6049	69	3	to	to	PART
ajst-6049	69	4	determine	determine	VERB
ajst-6049	69	5	the	the	DET
ajst-6049	69	6	color	color	NOUN
ajst-6049	69	7	attribute	attribute	NOUN
ajst-6049	69	8	of	of	ADP
ajst-6049	69	9	the	the	DET
ajst-6049	69	10	target	target	NOUN
ajst-6049	69	11	region	region	NOUN
ajst-6049	69	12	,	,	PUNCT
ajst-6049	69	13	the	the	DET
ajst-6049	69	14	tracking	tracking	NOUN
ajst-6049	69	15	technology	technology	NOUN
ajst-6049	69	16	is	be	AUX
ajst-6049	69	17	used	use	VERB
ajst-6049	69	18	to	to	PART
ajst-6049	69	19	locate	locate	VERB
ajst-6049	69	20	and	and	CCONJ
ajst-6049	69	21	store	store	VERB
ajst-6049	69	22	the	the	DET
ajst-6049	69	23	coordinates	coordinate	NOUN
ajst-6049	69	24	of	of	ADP
ajst-6049	69	25	each	each	DET
ajst-6049	69	26	object	object	NOUN
ajst-6049	69	27	,	,	PUNCT
ajst-6049	69	28	and	and	CCONJ
ajst-6049	69	29	the	the	DET
ajst-6049	69	30	standard	standard	ADJ
ajst-6049	69	31	deviation	deviation	NOUN
ajst-6049	69	32	of	of	ADP
ajst-6049	69	33	each	each	DET
ajst-6049	69	34	component	component	NOUN
ajst-6049	69	35	(	(	PUNCT
ajst-6049	69	36	r	r	NOUN
ajst-6049	69	37	,	,	PUNCT
ajst-6049	69	38	g	g	NOUN
ajst-6049	69	39	,	,	PUNCT
ajst-6049	69	40	b	b	NOUN
ajst-6049	69	41	)	)	PUNCT
ajst-6049	69	42	is	be	AUX
ajst-6049	69	43	used	use	VERB
ajst-6049	69	44	in	in	ADP
ajst-6049	69	45	formula	formula	NOUN
ajst-6049	69	46	(	(	PUNCT
ajst-6049	69	47	13	13	NUM
ajst-6049	69	48	)	)	PUNCT
ajst-6049	69	49	to	to	PART
ajst-6049	69	50	measure	measure	VERB
ajst-6049	69	51	the	the	DET
ajst-6049	69	52	approximation	approximation	NOUN
ajst-6049	69	53	between	between	ADP
ajst-6049	69	54	each	each	DET
ajst-6049	69	55	value	value	NOUN
ajst-6049	69	56	.	.	PUNCT
ajst-6049	70	1	formula	formula	NOUN
ajst-6049	70	2	(	(	PUNCT
ajst-6049	70	3	14	14	NUM
ajst-6049	70	4	)	)	PUNCT
ajst-6049	70	5	can	can	AUX
ajst-6049	70	6	also	also	ADV
ajst-6049	70	7	be	be	AUX
ajst-6049	70	8	used	use	VERB
ajst-6049	70	9	to	to	PART
ajst-6049	70	10	calculate	calculate	VERB
ajst-6049	70	11	the	the	DET
ajst-6049	70	12	maximum	maximum	ADJ
ajst-6049	70	13	(	(	PUNCT
ajst-6049	70	14	std	std	NOUN
ajst-6049	70	15	)	)	PUNCT
ajst-6049	70	16	value	value	NOUN
ajst-6049	70	17	of	of	ADP
ajst-6049	70	18	the	the	DET
ajst-6049	70	19	color	color	NOUN
ajst-6049	70	20	component	component	NOUN
ajst-6049	70	21	(	(	PUNCT
ajst-6049	70	22	r	r	NOUN
ajst-6049	70	23	,	,	PUNCT
ajst-6049	70	24	g	g	NOUN
ajst-6049	70	25	,	,	PUNCT
ajst-6049	70	26	b	b	NOUN
ajst-6049	70	27	)	)	PUNCT
ajst-6049	70	28	for	for	ADP
ajst-6049	70	29	threshold	threshold	NOUN
ajst-6049	70	30	based	base	VERB
ajst-6049	70	31	testing	testing	NOUN
ajst-6049	70	32	so	so	SCONJ
ajst-6049	70	33	that	that	SCONJ
ajst-6049	70	34	colored	colored	ADJ
ajst-6049	70	35	smoke	smoke	NOUN
ajst-6049	70	36	targets	target	NOUN
ajst-6049	70	37	are	be	AUX
ajst-6049	70	38	identified	identify	VERB
ajst-6049	70	39	.	.	PUNCT
ajst-6049	71	1	𝑠𝑡𝑑	𝑠𝑡𝑑	PROPN
ajst-6049	71	2	𝑥	𝑥	PROPN
ajst-6049	71	3	∑	∑	PROPN
ajst-6049	71	4	∑	∑	PROPN
ajst-6049	71	5	𝜇	𝜇	X
ajst-6049	71	6	(	(	PUNCT
ajst-6049	71	7	13	13	NUM
ajst-6049	71	8	)	)	PUNCT
ajst-6049	71	9	where	where	SCONJ
ajst-6049	71	10	,	,	PUNCT
ajst-6049	71	11	x	x	PRON
ajst-6049	71	12	represents	represent	VERB
ajst-6049	71	13	the	the	DET
ajst-6049	71	14	vector	vector	NOUN
ajst-6049	71	15	,	,	PUNCT
ajst-6049	71	16	i	i	PRON
ajst-6049	71	17	represents	represent	VERB
ajst-6049	71	18	the	the	DET
ajst-6049	71	19	rgb	rgb	PROPN
ajst-6049	71	20	component	component	NOUN
ajst-6049	71	21	,	,	PUNCT
ajst-6049	71	22	represents	represent	VERB
ajst-6049	71	23	the	the	DET
ajst-6049	71	24	mean	mean	ADJ
ajst-6049	71	25	value	value	NOUN
ajst-6049	71	26	,	,	PUNCT
ajst-6049	71	27	and	and	CCONJ
ajst-6049	71	28	obtains	obtain	VERB
ajst-6049	71	29	the	the	DET
ajst-6049	71	30	maximum	maximum	ADJ
ajst-6049	71	31	standard	standard	ADJ
ajst-6049	71	32	deviation	deviation	NOUN
ajst-6049	71	33	of	of	ADP
ajst-6049	71	34	the	the	DET
ajst-6049	71	35	rgb	rgb	PROPN
ajst-6049	71	36	component	component	NOUN
ajst-6049	71	37	.	.	PUNCT
ajst-6049	72	1	𝑆𝑡𝑑	𝑆𝑡𝑑	ADJ
ajst-6049	72	2	max	max	PROPN
ajst-6049	72	3	𝑠𝑡𝑑	𝑠𝑡𝑑	PROPN
ajst-6049	72	4	𝑟	𝑟	X
ajst-6049	72	5	,	,	PUNCT
ajst-6049	72	6	𝑠𝑡𝑑	𝑠𝑡𝑑	PROPN
ajst-6049	72	7	𝑔	𝑔	PROPN
ajst-6049	72	8	,	,	PUNCT
ajst-6049	72	9	𝑠𝑡𝑑	𝑠𝑡𝑑	PROPN
ajst-6049	72	10	𝑏	𝑏	PROPN
ajst-6049	72	11	(	(	PUNCT
ajst-6049	72	12	14	14	NUM
ajst-6049	72	13	)	)	PUNCT
ajst-6049	72	14	where	where	SCONJ
ajst-6049	72	15	,	,	PUNCT
ajst-6049	72	16	when	when	SCONJ
ajst-6049	72	17	the	the	DET
ajst-6049	72	18	standard	standard	ADJ
ajst-6049	72	19	deviation	deviation	NOUN
ajst-6049	72	20	is	be	AUX
ajst-6049	72	21	very	very	ADV
ajst-6049	72	22	small	small	ADJ
ajst-6049	72	23	,	,	PUNCT
ajst-6049	72	24	the	the	DET
ajst-6049	72	25	target	target	NOUN
ajst-6049	72	26	represents	represent	VERB
ajst-6049	72	27	the	the	DET
ajst-6049	72	28	smoke	smoke	NOUN
ajst-6049	72	29	property	property	NOUN
ajst-6049	72	30	.	.	PUNCT
ajst-6049	73	1	the	the	DET
ajst-6049	73	2	threshold	threshold	NOUN
ajst-6049	73	3	is	be	AUX
ajst-6049	73	4	applied	apply	VERB
ajst-6049	73	5	when	when	SCONJ
ajst-6049	73	6	the	the	DET
ajst-6049	73	7	following	follow	VERB
ajst-6049	73	8	conditions	condition	NOUN
ajst-6049	73	9	are	be	AUX
ajst-6049	73	10	met	meet	VERB
ajst-6049	73	11	,	,	PUNCT
ajst-6049	73	12	and	and	CCONJ
ajst-6049	73	13	the	the	DET
ajst-6049	73	14	target	target	NOUN
ajst-6049	73	15	represents	represent	VERB
ajst-6049	73	16	an	an	DET
ajst-6049	73	17	area	area	NOUN
ajst-6049	73	18	of	of	ADP
ajst-6049	73	19	interest	interest	NOUN
ajst-6049	73	20	that	that	PRON
ajst-6049	73	21	contains	contain	VERB
ajst-6049	73	22	grayscale	grayscale	NOUN
ajst-6049	73	23	and	and	CCONJ
ajst-6049	73	24	non	non	ADJ
ajst-6049	73	25	-	-	ADJ
ajst-6049	73	26	grayscale	grayscale	ADJ
ajst-6049	73	27	gradients	gradient	NOUN
ajst-6049	73	28	of	of	ADP
ajst-6049	73	29	the	the	DET
ajst-6049	73	30	smoke	smoke	NOUN
ajst-6049	73	31	.	.	PUNCT
ajst-6049	74	1	𝑓𝑒𝑎𝑟𝑡𝑢𝑟𝑒1	𝑓𝑒𝑎𝑟𝑡𝑢𝑟𝑒1	NOUN
ajst-6049	74	2	:	:	PUNCT
ajst-6049	74	3	𝑖𝑓	𝑖𝑓	X
ajst-6049	74	4	𝑆𝑡𝑑	𝑆𝑡𝑑	PROPN
ajst-6049	74	5	𝑡ℎ	𝑡ℎ	VERB
ajst-6049	74	6	𝑡ℎ𝑒𝑛	𝑡ℎ𝑒𝑛	NOUN
ajst-6049	74	7	𝑡ℎ𝑒	𝑡ℎ𝑒	PROPN
ajst-6049	74	8	𝑜𝑏𝑗𝑒𝑐𝑡	𝑜𝑏𝑗𝑒𝑐𝑡	NOUN
ajst-6049	74	9	𝑖𝑠	𝑖𝑠	NOUN
ajst-6049	74	10	𝑠𝑖𝑔𝑛𝑖𝑓𝑖𝑐𝑎𝑛𝑡	𝑠𝑖𝑔𝑛𝑖𝑓𝑖𝑐𝑎𝑛𝑡	VERB
ajst-6049	74	11	𝑟𝑒𝑔𝑒𝑖𝑜𝑛	𝑟𝑒𝑔𝑒𝑖𝑜𝑛	NOUN
ajst-6049	74	12	(	(	PUNCT
ajst-6049	74	13	15	15	NUM
ajst-6049	74	14	)	)	PUNCT
ajst-6049	74	15	3.4	3.4	NUM
ajst-6049	74	16	.	.	PUNCT
ajst-6049	75	1	smoke	smoke	NOUN
ajst-6049	75	2	transparency	transparency	NOUN
ajst-6049	75	3	was	be	AUX
ajst-6049	75	4	measured	measure	VERB
ajst-6049	75	5	by	by	ADP
ajst-6049	75	6	beaulieu	beaulieu	NOUN
ajst-6049	75	7	transform	transform	NOUN
ajst-6049	75	8	beaulieux	beaulieux	ADJ
ajst-6049	75	9	algorithm	algorithm	NOUN
ajst-6049	75	10	is	be	AUX
ajst-6049	75	11	often	often	ADV
ajst-6049	75	12	used	use	VERB
ajst-6049	75	13	for	for	ADP
ajst-6049	75	14	data	datum	NOUN
ajst-6049	75	15	analysis	analysis	NOUN
ajst-6049	75	16	,	,	PUNCT
ajst-6049	75	17	because	because	SCONJ
ajst-6049	75	18	it	it	PRON
ajst-6049	75	19	decomposes	decompose	VERB
ajst-6049	75	20	the	the	DET
ajst-6049	75	21	signal	signal	NOUN
ajst-6049	75	22	into	into	ADP
ajst-6049	75	23	sinusoidal	sinusoidal	ADJ
ajst-6049	75	24	components	component	NOUN
ajst-6049	75	25	of	of	ADP
ajst-6049	75	26	different	different	ADJ
ajst-6049	75	27	frequencies	frequency	NOUN
ajst-6049	75	28	,	,	PUNCT
ajst-6049	75	29	it	it	PRON
ajst-6049	75	30	is	be	AUX
ajst-6049	75	31	known	know	VERB
ajst-6049	75	32	as	as	ADP
ajst-6049	75	33	an	an	DET
ajst-6049	75	34	effective	effective	ADJ
ajst-6049	75	35	algorithm	algorithm	NOUN
ajst-6049	75	36	.	.	PUNCT
ajst-6049	76	1	it	it	PRON
ajst-6049	76	2	is	be	AUX
ajst-6049	76	3	mainly	mainly	ADV
ajst-6049	76	4	used	use	VERB
ajst-6049	76	5	in	in	ADP
ajst-6049	76	6	the	the	DET
ajst-6049	76	7	fields	field	NOUN
ajst-6049	76	8	of	of	ADP
ajst-6049	76	9	image	image	NOUN
ajst-6049	76	10	processing	processing	NOUN
ajst-6049	76	11	and	and	CCONJ
ajst-6049	76	12	signal	signal	NOUN
ajst-6049	76	13	processing	processing	NOUN
ajst-6049	76	14	,	,	PUNCT
ajst-6049	76	15	and	and	CCONJ
ajst-6049	76	16	its	its	PRON
ajst-6049	76	17	applications	application	NOUN
ajst-6049	76	18	range	range	VERB
ajst-6049	76	19	from	from	ADP
ajst-6049	76	20	frequency	frequency	NOUN
ajst-6049	76	21	analysis	analysis	NOUN
ajst-6049	76	22	,	,	PUNCT
ajst-6049	76	23	filtering	filtering	NOUN
ajst-6049	76	24	and	and	CCONJ
ajst-6049	76	25	convolution	convolution	NOUN
ajst-6049	76	26	to	to	ADP
ajst-6049	76	27	power	power	NOUN
ajst-6049	76	28	spectrum	spectrum	NOUN
ajst-6049	76	29	and	and	CCONJ
ajst-6049	76	30	estimation	estimation	NOUN
ajst-6049	76	31	.	.	PUNCT
ajst-6049	77	1	as	as	SCONJ
ajst-6049	77	2	shown	show	VERB
ajst-6049	77	3	in	in	ADP
ajst-6049	77	4	figure	figure	NOUN
ajst-6049	77	5	1	1	NUM
ajst-6049	77	6	and	and	CCONJ
ajst-6049	77	7	2	2	NUM
ajst-6049	77	8	,	,	PUNCT
ajst-6049	77	9	it	it	PRON
ajst-6049	77	10	can	can	AUX
ajst-6049	77	11	be	be	AUX
ajst-6049	77	12	noticed	notice	VERB
ajst-6049	77	13	that	that	SCONJ
ajst-6049	77	14	some	some	DET
ajst-6049	77	15	colors	color	NOUN
ajst-6049	77	16	in	in	ADP
ajst-6049	77	17	the	the	DET
ajst-6049	77	18	smoke	smoke	NOUN
ajst-6049	77	19	image	image	NOUN
ajst-6049	77	20	have	have	VERB
ajst-6049	77	21	transparency	transparency	NOUN
ajst-6049	77	22	.	.	PUNCT
ajst-6049	78	1	this	this	DET
ajst-6049	78	2	algorithm	algorithm	NOUN
ajst-6049	78	3	uses	use	VERB
ajst-6049	78	4	formula	formula	NOUN
ajst-6049	78	5	(	(	PUNCT
ajst-6049	78	6	16	16	NUM
ajst-6049	78	7	)	)	PUNCT
ajst-6049	78	8	to	to	PART
ajst-6049	78	9	convert	convert	VERB
ajst-6049	78	10	the	the	DET
ajst-6049	78	11	maximum	maximum	ADJ
ajst-6049	78	12	value	value	NOUN
ajst-6049	78	13	of	of	ADP
ajst-6049	78	14	each	each	DET
ajst-6049	78	15	component	component	NOUN
ajst-6049	78	16	of	of	ADP
ajst-6049	78	17	rgb	rgb	PROPN
ajst-6049	78	18	to	to	PART
ajst-6049	78	19	calculate	calculate	VERB
ajst-6049	78	20	transparency	transparency	NOUN
ajst-6049	78	21	.	.	PUNCT
ajst-6049	79	1	in	in	ADP
ajst-6049	79	2	order	order	NOUN
ajst-6049	79	3	to	to	PART
ajst-6049	79	4	improve	improve	VERB
ajst-6049	79	5	the	the	DET
ajst-6049	79	6	accuracy	accuracy	NOUN
ajst-6049	79	7	of	of	ADP
ajst-6049	79	8	smoke	smoke	NOUN
ajst-6049	79	9	transparency	transparency	NOUN
ajst-6049	79	10	detection	detection	NOUN
ajst-6049	79	11	,	,	PUNCT
ajst-6049	79	12	beauliffe	beauliffe	PROPN
ajst-6049	79	13	transform	transform	NOUN
ajst-6049	79	14	is	be	AUX
ajst-6049	79	15	used	use	VERB
ajst-6049	79	16	to	to	PART
ajst-6049	79	17	detect	detect	VERB
ajst-6049	79	18	transparency	transparency	NOUN
ajst-6049	79	19	according	accord	VERB
ajst-6049	79	20	to	to	ADP
ajst-6049	79	21	formula	formula	NOUN
ajst-6049	79	22	(	(	PUNCT
ajst-6049	79	23	17	17	NUM
ajst-6049	79	24	)	)	PUNCT
ajst-6049	79	25	and	and	CCONJ
ajst-6049	79	26	(	(	PUNCT
ajst-6049	79	27	18	18	NUM
ajst-6049	79	28	)	)	PUNCT
ajst-6049	79	29	:	:	PUNCT
ajst-6049	80	1	𝐼	𝐼	ADP
ajst-6049	80	2	max	max	PROPN
ajst-6049	80	3	𝑟	𝑟	NOUN
ajst-6049	80	4	,	,	PUNCT
ajst-6049	80	5	𝑔	𝑔	NOUN
ajst-6049	80	6	,	,	PUNCT
ajst-6049	80	7	𝑏	𝑏	PROPN
ajst-6049	80	8	(	(	PUNCT
ajst-6049	80	9	16	16	NUM
ajst-6049	80	10	)	)	PUNCT
ajst-6049	80	11	𝐼	𝐼	ADP
ajst-6049	80	12	𝐹𝐹𝑇	𝐹𝐹𝑇	PROPN
ajst-6049	80	13	𝐼	𝐼	PROPN
ajst-6049	80	14	(	(	PUNCT
ajst-6049	80	15	17	17	NUM
ajst-6049	80	16	)	)	PUNCT
ajst-6049	80	17	𝑝	𝑝	NOUN
ajst-6049	80	18	𝐼	𝐼	PROPN
ajst-6049	80	19	∑	∑	PROPN
ajst-6049	80	20	𝑛𝑗/𝑘	𝑛𝑗/𝑘	PROPN
ajst-6049	80	21	(	(	PUNCT
ajst-6049	80	22	18	18	NUM
ajst-6049	80	23	)	)	PUNCT
ajst-6049	80	24	where	where	SCONJ
ajst-6049	80	25	nj	nj	PROPN
ajst-6049	80	26	is	be	AUX
ajst-6049	80	27	the	the	DET
ajst-6049	80	28	frequency	frequency	NOUN
ajst-6049	80	29	,	,	PUNCT
ajst-6049	80	30	j	j	PROPN
ajst-6049	80	31	=	=	SYM
ajst-6049	80	32	1,2	1,2	NUM
ajst-6049	80	33	...	...	PUNCT
ajst-6049	81	1	k	k	X
ajst-6049	81	2	,	,	PUNCT
ajst-6049	81	3	where	where	SCONJ
ajst-6049	81	4	k	k	PROPN
ajst-6049	81	5	is	be	AUX
ajst-6049	81	6	the	the	DET
ajst-6049	81	7	frequency	frequency	NOUN
ajst-6049	81	8	number	number	NOUN
ajst-6049	81	9	,	,	PUNCT
ajst-6049	81	10	two	two	NUM
ajst-6049	81	11	object	object	NOUN
ajst-6049	81	12	features	feature	NOUN
ajst-6049	81	13	can	can	AUX
ajst-6049	81	14	be	be	AUX
ajst-6049	81	15	used	use	VERB
ajst-6049	81	16	to	to	PART
ajst-6049	81	17	identify	identify	VERB
ajst-6049	81	18	object	object	NOUN
ajst-6049	81	19	transparency	transparency	NOUN
ajst-6049	81	20	,	,	PUNCT
ajst-6049	81	21	the	the	DET
ajst-6049	81	22	first	first	ADJ
ajst-6049	81	23	is	be	AUX
ajst-6049	81	24	the	the	DET
ajst-6049	81	25	value	value	NOUN
ajst-6049	81	26	of	of	ADP
ajst-6049	81	27	the	the	DET
ajst-6049	81	28	maximum	maximum	ADJ
ajst-6049	81	29	peak	peak	NOUN
ajst-6049	81	30	value	value	NOUN
ajst-6049	81	31	of	of	ADP
ajst-6049	81	32	the	the	DET
ajst-6049	81	33	histogram	histogram	NOUN
ajst-6049	81	34	,	,	PUNCT
ajst-6049	81	35	and	and	CCONJ
ajst-6049	81	36	the	the	DET
ajst-6049	81	37	second	second	NOUN
ajst-6049	81	38	is	be	AUX
ajst-6049	81	39	the	the	DET
ajst-6049	81	40	change	change	NOUN
ajst-6049	81	41	value	value	NOUN
ajst-6049	81	42	between	between	ADP
ajst-6049	81	43	figure	figure	NOUN
ajst-6049	81	44	2	2	NUM
ajst-6049	81	45	.	.	PUNCT
ajst-6049	81	46	figure	figure	NOUN
ajst-6049	81	47	2	2	NUM
ajst-6049	81	48	.	.	PUNCT
ajst-6049	82	1	the	the	DET
ajst-6049	82	2	offset	offset	ADJ
ajst-6049	82	3	value	value	NOUN
ajst-6049	82	4	of	of	ADP
ajst-6049	82	5	the	the	DET
ajst-6049	82	6	image	image	NOUN
ajst-6049	82	7	4	4	NUM
ajst-6049	82	8	.	.	PUNCT
ajst-6049	82	9	experimental	experimental	ADJ
ajst-6049	82	10	results	result	NOUN
ajst-6049	82	11	and	and	CCONJ
ajst-6049	82	12	analysis	analysis	NOUN
ajst-6049	82	13	4.1	4.1	NUM
ajst-6049	82	14	.	.	PUNCT
ajst-6049	83	1	experimental	experimental	ADJ
ajst-6049	83	2	results	result	NOUN
ajst-6049	83	3	matlab	matlab	PROPN
ajst-6049	83	4	is	be	AUX
ajst-6049	83	5	used	use	VERB
ajst-6049	83	6	to	to	PART
ajst-6049	83	7	test	test	VERB
ajst-6049	83	8	the	the	DET
ajst-6049	83	9	selected	select	VERB
ajst-6049	83	10	video	video	NOUN
ajst-6049	83	11	.	.	PUNCT
ajst-6049	84	1	there	there	PRON
ajst-6049	84	2	are	be	VERB
ajst-6049	84	3	three	three	NUM
ajst-6049	84	4	important	important	ADJ
ajst-6049	84	5	steps	step	NOUN
ajst-6049	84	6	in	in	ADP
ajst-6049	84	7	video	video	NOUN
ajst-6049	84	8	analysis	analysis	NOUN
ajst-6049	84	9	,	,	PUNCT
ajst-6049	84	10	which	which	PRON
ajst-6049	84	11	are	be	AUX
ajst-6049	84	12	detection	detection	NOUN
ajst-6049	84	13	of	of	ADP
ajst-6049	84	14	smoke	smoke	NOUN
ajst-6049	84	15	moving	move	VERB
ajst-6049	84	16	target	target	NOUN
ajst-6049	84	17	,	,	PUNCT
ajst-6049	84	18	frame	frame	NOUN
ajst-6049	84	19	tracking	tracking	NOUN
ajst-6049	84	20	and	and	CCONJ
ajst-6049	84	21	target	target	NOUN
ajst-6049	84	22	trajectory	trajectory	NOUN
ajst-6049	84	23	analysis	analysis	NOUN
ajst-6049	84	24	to	to	PART
ajst-6049	84	25	identify	identify	VERB
ajst-6049	84	26	target	target	NOUN
ajst-6049	84	27	behavior	behavior	NOUN
ajst-6049	84	28	.	.	PUNCT
ajst-6049	85	1	calculated	calculate	VERB
ajst-6049	85	2	at	at	ADP
ajst-6049	85	3	25	25	NUM
ajst-6049	85	4	frames	frame	NOUN
ajst-6049	85	5	per	per	ADP
ajst-6049	85	6	second	second	NOUN
ajst-6049	85	7	,	,	PUNCT
ajst-6049	85	8	the	the	DET
ajst-6049	85	9	video	video	NOUN
ajst-6049	85	10	is	be	AUX
ajst-6049	85	11	normalized	normalize	VERB
ajst-6049	85	12	to	to	ADP
ajst-6049	85	13	320	320	NUM
ajst-6049	85	14	pixels	pixel	NOUN
ajst-6049	85	15	by	by	ADP
ajst-6049	85	16	240	240	NUM
ajst-6049	85	17	pixels	pixel	NOUN
ajst-6049	85	18	,	,	PUNCT
ajst-6049	85	19	and	and	CCONJ
ajst-6049	85	20	the	the	DET
ajst-6049	85	21	smoke	smoke	NOUN
ajst-6049	85	22	object	object	NOUN
ajst-6049	85	23	is	be	AUX
ajst-6049	85	24	displayed	display	VERB
ajst-6049	85	25	in	in	ADP
ajst-6049	85	26	a	a	DET
ajst-6049	85	27	green	green	ADJ
ajst-6049	85	28	border	border	NOUN
ajst-6049	85	29	.	.	PUNCT
ajst-6049	86	1	video(1	video(1	NOUN
ajst-6049	86	2	)	)	PUNCT
ajst-6049	86	3	video(2	video(2	PROPN
ajst-6049	86	4	)	)	PUNCT
ajst-6049	86	5	video(3	video(3	NOUN
ajst-6049	86	6	)	)	PUNCT
ajst-6049	86	7	video(4	video(4	PROPN
ajst-6049	86	8	)	)	PUNCT
ajst-6049	86	9	video(5	video(5	PROPN
ajst-6049	86	10	)	)	PUNCT
ajst-6049	86	11	video(6	video(6	NOUN
ajst-6049	86	12	)	)	PUNCT
ajst-6049	87	1	video(7	video(7	NOUN
ajst-6049	87	2	)	)	PUNCT
ajst-6049	87	3	video(8	video(8	PROPN
ajst-6049	87	4	)	)	PUNCT
ajst-6049	87	5	figure	figure	NOUN
ajst-6049	87	6	3	3	NUM
ajst-6049	87	7	.	.	X
ajst-6049	87	8	smoke	smoke	NOUN
ajst-6049	87	9	detection	detection	NOUN
ajst-6049	87	10	chart	chart	VERB
ajst-6049	87	11	the	the	DET
ajst-6049	87	12	smoke	smoke	NOUN
ajst-6049	87	13	detection	detection	NOUN
ajst-6049	87	14	status	status	NOUN
ajst-6049	87	15	is	be	AUX
ajst-6049	87	16	shown	show	VERB
ajst-6049	87	17	in	in	ADP
ajst-6049	87	18	table	table	NOUN
ajst-6049	87	19	1	1	NUM
ajst-6049	87	20	:	:	PUNCT
ajst-6049	87	21	table	table	NOUN
ajst-6049	87	22	1	1	NUM
ajst-6049	87	23	.	.	X
ajst-6049	87	24	smoke	smoke	NOUN
ajst-6049	87	25	detection	detection	NOUN
ajst-6049	87	26	status	status	NOUN
ajst-6049	87	27	video	video	NOUN
ajst-6049	87	28	serial	serial	ADJ
ajst-6049	87	29	number	number	NOUN
ajst-6049	87	30	smoke	smoke	NOUN
ajst-6049	87	31	condition	condition	NOUN
ajst-6049	87	32	description	description	NOUN
ajst-6049	87	33	video(1	video(1	NOUN
ajst-6049	87	34	)	)	PUNCT
ajst-6049	87	35	n	n	CCONJ
ajst-6049	87	36	moving	move	VERB
ajst-6049	87	37	man	man	NOUN
ajst-6049	87	38	video(2	video(2	PROPN
ajst-6049	87	39	)	)	PUNCT
ajst-6049	88	1	y	y	PROPN
ajst-6049	88	2	only	only	ADV
ajst-6049	88	3	smoke	smoke	VERB
ajst-6049	88	4	video(3	video(3	PROPN
ajst-6049	88	5	)	)	PUNCT
ajst-6049	89	1	y	y	PROPN
ajst-6049	89	2	only	only	ADV
ajst-6049	89	3	smoke	smoke	VERB
ajst-6049	89	4	video(4	video(4	PROPN
ajst-6049	89	5	)	)	PUNCT
ajst-6049	90	1	y	y	PROPN
ajst-6049	90	2	only	only	ADV
ajst-6049	90	3	smoke	smoke	VERB
ajst-6049	90	4	video(5	video(5	NOUN
ajst-6049	90	5	)	)	PUNCT
ajst-6049	91	1	y	y	PROPN
ajst-6049	91	2	only	only	ADV
ajst-6049	91	3	smoke	smoke	VERB
ajst-6049	91	4	video(6	video(6	NOUN
ajst-6049	91	5	)	)	PUNCT
ajst-6049	91	6	n	n	CCONJ
ajst-6049	91	7	moving	move	VERB
ajst-6049	91	8	car	car	NOUN
ajst-6049	91	9	video(7	video(7	NOUN
ajst-6049	91	10	)	)	PUNCT
ajst-6049	92	1	y	y	PROPN
ajst-6049	92	2	only	only	ADV
ajst-6049	92	3	smoke	smoke	VERB
ajst-6049	92	4	video(8	video(8	NOUN
ajst-6049	92	5	)	)	PUNCT
ajst-6049	92	6	y	y	PROPN
ajst-6049	92	7	smoke	smoke	NOUN
ajst-6049	92	8	man	man	NOUN
ajst-6049	92	9	62	62	NUM
ajst-6049	92	10	4.2	4.2	NUM
ajst-6049	92	11	.	.	PUNCT
ajst-6049	93	1	experimental	experimental	ADJ
ajst-6049	93	2	analysis	analysis	NOUN
ajst-6049	93	3	in	in	ADP
ajst-6049	93	4	this	this	DET
ajst-6049	93	5	experiment	experiment	NOUN
ajst-6049	93	6	,	,	PUNCT
ajst-6049	93	7	a	a	DET
ajst-6049	93	8	smoke	smoke	NOUN
ajst-6049	93	9	detection	detection	NOUN
ajst-6049	93	10	method	method	NOUN
ajst-6049	93	11	based	base	VERB
ajst-6049	93	12	on	on	ADP
ajst-6049	93	13	frame	frame	NOUN
ajst-6049	93	14	motion	motion	NOUN
ajst-6049	93	15	was	be	AUX
ajst-6049	93	16	improved	improve	VERB
ajst-6049	93	17	by	by	ADP
ajst-6049	93	18	early	early	ADJ
ajst-6049	93	19	smoke	smoke	NOUN
ajst-6049	93	20	analysis	analysis	NOUN
ajst-6049	93	21	.	.	PUNCT
ajst-6049	94	1	the	the	DET
ajst-6049	94	2	background	background	NOUN
ajst-6049	94	3	and	and	CCONJ
ajst-6049	94	4	different	different	ADJ
ajst-6049	94	5	modeling	modeling	NOUN
ajst-6049	94	6	methods	method	NOUN
ajst-6049	94	7	are	be	AUX
ajst-6049	94	8	used	use	VERB
ajst-6049	94	9	to	to	PART
ajst-6049	94	10	detect	detect	VERB
ajst-6049	94	11	the	the	DET
ajst-6049	94	12	moving	move	VERB
ajst-6049	94	13	target	target	NOUN
ajst-6049	94	14	of	of	ADP
ajst-6049	94	15	each	each	DET
ajst-6049	94	16	frame	frame	NOUN
ajst-6049	94	17	,	,	PUNCT
ajst-6049	94	18	and	and	CCONJ
ajst-6049	94	19	the	the	DET
ajst-6049	94	20	moving	move	VERB
ajst-6049	94	21	image	image	NOUN
ajst-6049	94	22	is	be	AUX
ajst-6049	94	23	converted	convert	VERB
ajst-6049	94	24	into	into	ADP
ajst-6049	94	25	binary	binary	ADJ
ajst-6049	94	26	mode	mode	NOUN
ajst-6049	94	27	to	to	PART
ajst-6049	94	28	remove	remove	VERB
ajst-6049	94	29	unnecessary	unnecessary	ADJ
ajst-6049	94	30	brightness	brightness	NOUN
ajst-6049	94	31	pixels	pixel	NOUN
ajst-6049	94	32	.	.	PUNCT
ajst-6049	95	1	two	two	NUM
ajst-6049	95	2	features	feature	NOUN
ajst-6049	95	3	of	of	ADP
ajst-6049	95	4	smoke	smoke	NOUN
ajst-6049	95	5	detection	detection	NOUN
ajst-6049	95	6	,	,	PUNCT
ajst-6049	95	7	gray	gray	ADJ
ajst-6049	95	8	feature	feature	NOUN
ajst-6049	95	9	and	and	CCONJ
ajst-6049	95	10	transparency	transparency	NOUN
ajst-6049	95	11	feature	feature	NOUN
ajst-6049	95	12	,	,	PUNCT
ajst-6049	95	13	were	be	AUX
ajst-6049	95	14	used	use	VERB
ajst-6049	95	15	to	to	PART
ajst-6049	95	16	detect	detect	VERB
ajst-6049	95	17	transparent	transparent	ADJ
ajst-6049	95	18	smoke	smoke	NOUN
ajst-6049	95	19	by	by	ADP
ajst-6049	95	20	boli	boli	NOUN
ajst-6049	95	21	leaf	leaf	NOUN
ajst-6049	95	22	,	,	PUNCT
ajst-6049	95	23	and	and	CCONJ
ajst-6049	95	24	the	the	DET
ajst-6049	95	25	mean	mean	ADJ
ajst-6049	95	26	and	and	CCONJ
ajst-6049	95	27	standard	standard	ADJ
ajst-6049	95	28	deviation	deviation	NOUN
ajst-6049	95	29	were	be	AUX
ajst-6049	95	30	calculated	calculate	VERB
ajst-6049	95	31	to	to	PART
ajst-6049	95	32	detect	detect	VERB
ajst-6049	95	33	gray	gray	ADJ
ajst-6049	95	34	smoke	smoke	NOUN
ajst-6049	95	35	.	.	PUNCT
ajst-6049	96	1	the	the	DET
ajst-6049	96	2	method	method	NOUN
ajst-6049	96	3	in	in	ADP
ajst-6049	96	4	this	this	DET
ajst-6049	96	5	paper	paper	NOUN
ajst-6049	96	6	was	be	AUX
ajst-6049	96	7	tested	test	VERB
ajst-6049	96	8	on	on	ADP
ajst-6049	96	9	multiple	multiple	ADJ
ajst-6049	96	10	videos	video	NOUN
ajst-6049	96	11	,	,	PUNCT
ajst-6049	96	12	and	and	CCONJ
ajst-6049	96	13	the	the	DET
ajst-6049	96	14	accuracy	accuracy	NOUN
ajst-6049	96	15	reached	reach	VERB
ajst-6049	96	16	more	more	ADJ
ajst-6049	96	17	than	than	ADP
ajst-6049	96	18	90	90	NUM
ajst-6049	96	19	%	%	NOUN
ajst-6049	96	20	,	,	PUNCT
ajst-6049	96	21	as	as	SCONJ
ajst-6049	96	22	shown	show	VERB
ajst-6049	96	23	in	in	ADP
ajst-6049	96	24	table	table	NOUN
ajst-6049	96	25	2	2	NUM
ajst-6049	96	26	:	:	PUNCT
ajst-6049	96	27	table	table	NOUN
ajst-6049	96	28	2	2	NUM
ajst-6049	96	29	.	.	PUNCT
ajst-6049	96	30	characteristics	characteristic	NOUN
ajst-6049	96	31	of	of	ADP
ajst-6049	96	32	video	video	NOUN
ajst-6049	96	33	frame	frame	NOUN
ajst-6049	96	34	number	number	NOUN
ajst-6049	96	35	conversion	conversion	PROPN
ajst-6049	96	36	times	times	PROPN
ajst-6049	96	37	video	video	NOUN
ajst-6049	96	38	serial	serial	ADJ
ajst-6049	96	39	number	number	NOUN
ajst-6049	96	40	framework	framework	NOUN
ajst-6049	96	41	cigarette	cigarette	NOUN
ajst-6049	96	42	smoke	smoke	NOUN
ajst-6049	96	43	video(1	video(1	NOUN
ajst-6049	96	44	)	)	PUNCT
ajst-6049	96	45	630	630	NUM
ajst-6049	96	46	615	615	NUM
ajst-6049	96	47	15	15	NUM
ajst-6049	96	48	video(2	video(2	NOUN
ajst-6049	96	49	)	)	PUNCT
ajst-6049	96	50	1853	1853	NUM
ajst-6049	96	51	1378	1378	NUM
ajst-6049	96	52	457	457	NUM
ajst-6049	96	53	video(3	video(3	NOUN
ajst-6049	96	54	)	)	PUNCT
ajst-6049	97	1	552	552	NUM
ajst-6049	97	2	156	156	NUM
ajst-6049	97	3	396	396	NUM
ajst-6049	97	4	video(4	video(4	PROPN
ajst-6049	97	5	)	)	PUNCT
ajst-6049	97	6	168	168	NUM
ajst-6049	97	7	0	0	NUM
ajst-6049	97	8	0	0	NUM
ajst-6049	97	9	video(5	video(5	NOUN
ajst-6049	97	10	)	)	PUNCT
ajst-6049	97	11	629	629	NUM
ajst-6049	97	12	629	629	NUM
ajst-6049	97	13	1	1	NUM
ajst-6049	97	14	video(6	video(6	NOUN
ajst-6049	97	15	)	)	PUNCT
ajst-6049	97	16	356	356	NUM
ajst-6049	97	17	0	0	NUM
ajst-6049	97	18	0	0	NUM
ajst-6049	97	19	video(7	video(7	NOUN
ajst-6049	97	20	)	)	PUNCT
ajst-6049	97	21	1168	1168	NUM
ajst-6049	97	22	1168	1168	NUM
ajst-6049	97	23	1	1	NUM
ajst-6049	97	24	video(8	video(8	NOUN
ajst-6049	97	25	)	)	PUNCT
ajst-6049	97	26	614	614	NUM
ajst-6049	97	27	614	614	NUM
ajst-6049	97	28	1	1	NUM
ajst-6049	97	29	5	5	NUM
ajst-6049	97	30	.	.	PUNCT
ajst-6049	98	1	conclusion	conclusion	NOUN
ajst-6049	98	2	according	accord	VERB
ajst-6049	98	3	to	to	ADP
ajst-6049	98	4	the	the	DET
ajst-6049	98	5	actual	actual	ADJ
ajst-6049	98	6	application	application	NOUN
ajst-6049	98	7	scenario	scenario	NOUN
ajst-6049	98	8	of	of	ADP
ajst-6049	98	9	smoking	smoking	NOUN
ajst-6049	98	10	driving	driving	NOUN
ajst-6049	98	11	behavior	behavior	NOUN
ajst-6049	99	1	,	,	PUNCT
ajst-6049	99	2	this	this	DET
ajst-6049	99	3	paper	paper	NOUN
ajst-6049	99	4	proposes	propose	VERB
ajst-6049	99	5	a	a	DET
ajst-6049	99	6	smoking	smoking	NOUN
ajst-6049	99	7	driving	drive	VERB
ajst-6049	99	8	detection	detection	NOUN
ajst-6049	99	9	model	model	NOUN
ajst-6049	99	10	based	base	VERB
ajst-6049	99	11	on	on	ADP
ajst-6049	99	12	depth	depth	NOUN
ajst-6049	99	13	science	science	NOUN
ajst-6049	99	14	which	which	PRON
ajst-6049	99	15	can	can	AUX
ajst-6049	99	16	quickly	quickly	ADV
ajst-6049	99	17	detect	detect	VERB
ajst-6049	99	18	smoke	smoke	NOUN
ajst-6049	99	19	and	and	CCONJ
ajst-6049	99	20	give	give	VERB
ajst-6049	99	21	warning	warning	NOUN
ajst-6049	99	22	.	.	PUNCT
ajst-6049	100	1	the	the	DET
ajst-6049	100	2	model	model	NOUN
ajst-6049	100	3	has	have	VERB
ajst-6049	100	4	a	a	DET
ajst-6049	100	5	good	good	ADJ
ajst-6049	100	6	detection	detection	NOUN
ajst-6049	100	7	effect	effect	NOUN
ajst-6049	100	8	on	on	ADP
ajst-6049	100	9	the	the	DET
ajst-6049	100	10	transparency	transparency	NOUN
ajst-6049	100	11	and	and	CCONJ
ajst-6049	100	12	regional	regional	ADJ
ajst-6049	100	13	segmentation	segmentation	NOUN
ajst-6049	100	14	of	of	ADP
ajst-6049	100	15	smoke	smoke	NOUN
ajst-6049	100	16	.	.	PUNCT
ajst-6049	101	1	on	on	ADP
ajst-6049	101	2	the	the	DET
ajst-6049	101	3	one	one	NUM
ajst-6049	101	4	hand	hand	NOUN
ajst-6049	101	5	,	,	PUNCT
ajst-6049	101	6	solve	solve	VERB
ajst-6049	101	7	the	the	DET
ajst-6049	101	8	problem	problem	NOUN
ajst-6049	101	9	from	from	ADP
ajst-6049	101	10	the	the	DET
ajst-6049	101	11	real	real	ADJ
ajst-6049	101	12	-	-	PUNCT
ajst-6049	101	13	time	time	NOUN
ajst-6049	101	14	model	model	NOUN
ajst-6049	101	15	,	,	PUNCT
ajst-6049	101	16	and	and	CCONJ
ajst-6049	101	17	carry	carry	VERB
ajst-6049	101	18	on	on	ADP
ajst-6049	101	19	the	the	DET
ajst-6049	101	20	multi	multi	ADJ
ajst-6049	101	21	-	-	ADJ
ajst-6049	101	22	dimensional	dimensional	ADJ
ajst-6049	101	23	analysis	analysis	NOUN
ajst-6049	101	24	and	and	CCONJ
ajst-6049	101	25	optimization	optimization	NOUN
ajst-6049	101	26	of	of	ADP
ajst-6049	101	27	the	the	DET
ajst-6049	101	28	extracted	extract	VERB
ajst-6049	101	29	target	target	NOUN
ajst-6049	101	30	detection	detection	NOUN
ajst-6049	101	31	image	image	NOUN
ajst-6049	101	32	features	feature	NOUN
ajst-6049	101	33	,	,	PUNCT
ajst-6049	101	34	which	which	PRON
ajst-6049	101	35	not	not	PART
ajst-6049	101	36	only	only	ADV
ajst-6049	101	37	reduces	reduce	VERB
ajst-6049	101	38	the	the	DET
ajst-6049	101	39	calculation	calculation	NOUN
ajst-6049	101	40	amount	amount	NOUN
ajst-6049	101	41	of	of	ADP
ajst-6049	101	42	the	the	DET
ajst-6049	101	43	model	model	NOUN
ajst-6049	101	44	,	,	PUNCT
ajst-6049	101	45	but	but	CCONJ
ajst-6049	101	46	also	also	ADV
ajst-6049	101	47	speeds	speed	VERB
ajst-6049	101	48	up	up	ADP
ajst-6049	101	49	the	the	DET
ajst-6049	101	50	computational	computational	ADJ
ajst-6049	101	51	speed	speed	NOUN
ajst-6049	101	52	and	and	CCONJ
ajst-6049	101	53	accuracy	accuracy	NOUN
ajst-6049	101	54	of	of	ADP
ajst-6049	101	55	the	the	DET
ajst-6049	101	56	recursive	recursive	ADJ
ajst-6049	101	57	model	model	NOUN
ajst-6049	101	58	.	.	PUNCT
ajst-6049	102	1	on	on	ADP
ajst-6049	102	2	the	the	DET
ajst-6049	102	3	other	other	ADJ
ajst-6049	102	4	hand	hand	NOUN
ajst-6049	102	5	,	,	PUNCT
ajst-6049	102	6	from	from	ADP
ajst-6049	102	7	the	the	DET
ajst-6049	102	8	outdoor	outdoor	ADJ
ajst-6049	102	9	smoke	smoke	NOUN
ajst-6049	102	10	detection	detection	NOUN
ajst-6049	102	11	,	,	PUNCT
ajst-6049	102	12	especially	especially	ADV
ajst-6049	102	13	transparent	transparent	ADJ
ajst-6049	102	14	smoke	smoke	NOUN
ajst-6049	102	15	using	use	VERB
ajst-6049	102	16	bolye	bolye	NOUN
ajst-6049	102	17	algorithm	algorithm	NOUN
ajst-6049	102	18	,	,	PUNCT
ajst-6049	102	19	improve	improve	VERB
ajst-6049	102	20	the	the	DET
ajst-6049	102	21	detection	detection	NOUN
ajst-6049	102	22	ability	ability	NOUN
ajst-6049	102	23	and	and	CCONJ
ajst-6049	102	24	accuracy	accuracy	NOUN
ajst-6049	102	25	;	;	PUNCT
ajst-6049	102	26	at	at	ADP
ajst-6049	102	27	the	the	DET
ajst-6049	102	28	same	same	ADJ
ajst-6049	102	29	time	time	NOUN
ajst-6049	102	30	,	,	PUNCT
ajst-6049	102	31	target	target	VERB
ajst-6049	102	32	tracking	tracking	NOUN
ajst-6049	102	33	and	and	CCONJ
ajst-6049	102	34	edge	edge	NOUN
ajst-6049	102	35	method	method	NOUN
ajst-6049	102	36	are	be	AUX
ajst-6049	102	37	used	use	VERB
ajst-6049	102	38	to	to	PART
ajst-6049	102	39	improve	improve	VERB
ajst-6049	102	40	the	the	DET
ajst-6049	102	41	accuracy	accuracy	NOUN
ajst-6049	102	42	of	of	ADP
ajst-6049	102	43	target	target	NOUN
ajst-6049	102	44	location	location	NOUN
ajst-6049	102	45	.	.	PUNCT
ajst-6049	103	1	finally	finally	ADV
ajst-6049	103	2	,	,	PUNCT
ajst-6049	103	3	context	context	NOUN
ajst-6049	103	4	information	information	NOUN
ajst-6049	103	5	is	be	AUX
ajst-6049	103	6	used	use	VERB
ajst-6049	103	7	to	to	PART
ajst-6049	103	8	reduce	reduce	VERB
ajst-6049	103	9	the	the	DET
ajst-6049	103	10	false	false	ADJ
ajst-6049	103	11	detection	detection	NOUN
ajst-6049	103	12	rate	rate	NOUN
ajst-6049	103	13	of	of	ADP
ajst-6049	103	14	target	target	NOUN
ajst-6049	103	15	objects	object	NOUN
ajst-6049	103	16	.	.	PUNCT
ajst-6049	104	1	in	in	ADP
ajst-6049	104	2	this	this	DET
ajst-6049	104	3	paper	paper	NOUN
ajst-6049	104	4	,	,	PUNCT
ajst-6049	104	5	the	the	DET
ajst-6049	104	6	model	model	NOUN
ajst-6049	104	7	proposed	propose	VERB
ajst-6049	104	8	by	by	ADP
ajst-6049	104	9	self	self	NOUN
ajst-6049	104	10	-	-	PUNCT
ajst-6049	104	11	made	make	VERB
ajst-6049	104	12	training	training	NOUN
ajst-6049	104	13	text	text	NOUN
ajst-6049	104	14	verifies	verifie	NOUN
ajst-6049	104	15	that	that	SCONJ
ajst-6049	104	16	the	the	DET
ajst-6049	104	17	model	model	NOUN
ajst-6049	104	18	has	have	VERB
ajst-6049	104	19	a	a	DET
ajst-6049	104	20	good	good	ADJ
ajst-6049	104	21	detection	detection	NOUN
ajst-6049	104	22	effect	effect	NOUN
ajst-6049	104	23	.	.	PUNCT
ajst-6049	105	1	due	due	ADP
ajst-6049	105	2	to	to	ADP
ajst-6049	105	3	the	the	DET
ajst-6049	105	4	diversity	diversity	NOUN
ajst-6049	105	5	of	of	ADP
ajst-6049	105	6	data	datum	NOUN
ajst-6049	105	7	sets	set	NOUN
ajst-6049	105	8	,	,	PUNCT
ajst-6049	105	9	it	it	PRON
ajst-6049	105	10	is	be	AUX
ajst-6049	105	11	not	not	PART
ajst-6049	105	12	ideal	ideal	ADJ
ajst-6049	105	13	in	in	ADP
ajst-6049	105	14	practical	practical	ADJ
ajst-6049	105	15	application	application	NOUN
ajst-6049	105	16	.	.	PUNCT
ajst-6049	106	1	in	in	ADP
ajst-6049	106	2	the	the	DET
ajst-6049	106	3	future	future	NOUN
ajst-6049	106	4	,	,	PUNCT
ajst-6049	106	5	the	the	DET
ajst-6049	106	6	training	training	NOUN
ajst-6049	106	7	will	will	AUX
ajst-6049	106	8	be	be	AUX
ajst-6049	106	9	further	far	ADV
ajst-6049	106	10	enhanced	enhance	VERB
ajst-6049	106	11	to	to	PART
ajst-6049	106	12	reduce	reduce	VERB
ajst-6049	106	13	errors	error	NOUN
ajst-6049	106	14	and	and	CCONJ
ajst-6049	106	15	improve	improve	VERB
ajst-6049	106	16	the	the	DET
ajst-6049	106	17	detection	detection	NOUN
ajst-6049	106	18	effect	effect	NOUN
ajst-6049	106	19	of	of	ADP
ajst-6049	106	20	the	the	DET
ajst-6049	106	21	model	model	NOUN
ajst-6049	106	22	in	in	ADP
ajst-6049	106	23	actual	actual	ADJ
ajst-6049	106	24	industry	industry	NOUN
ajst-6049	106	25	.	.	PUNCT
ajst-6049	107	1	acknowledgment	acknowledgment	NOUN
ajst-6049	107	2	we	we	PRON
ajst-6049	107	3	thank	thank	VERB
ajst-6049	107	4	rong	rong	PROPN
ajst-6049	107	5	li	li	PROPN
ajst-6049	107	6	for	for	ADP
ajst-6049	107	7	reviewing	review	VERB
ajst-6049	107	8	the	the	DET
ajst-6049	107	9	article	article	NOUN
ajst-6049	107	10	.	.	PUNCT
ajst-6049	108	1	references	reference	NOUN
ajst-6049	108	2	[	[	X
ajst-6049	108	3	1	1	NUM
ajst-6049	108	4	]	]	PUNCT
ajst-6049	108	5	linyl	linyl	NOUN
ajst-6049	108	6	dollar	dollar	NOUN
ajst-6049	108	7	p	p	NOUN
ajst-6049	108	8	,	,	PUNCT
ajst-6049	108	9	girshick	girshick	NOUN
ajst-6049	108	10	rb	rb	PROPN
ajst-6049	108	11	,	,	PUNCT
ajst-6049	108	12	et	et	PROPN
ajst-6049	108	13	al	al	PROPN
ajst-6049	108	14	.	.	PROPN
ajst-6049	109	1	feature	feature	PROPN
ajst-6049	109	2	pyramid	pyramid	NOUN
ajst-6049	109	3	networks	network	NOUN
ajst-6049	109	4	for	for	ADP
ajst-6049	109	5	object	object	NOUN
ajst-6049	109	6	detection[c]//	detection[c]//	PROPN
ajst-6049	109	7	proceedings	proceeding	NOUN
ajst-6049	109	8	of	of	ADP
ajst-6049	109	9	the	the	DET
ajst-6049	109	10	2016	2016	NUM
ajst-6049	109	11	ieee	ieee	NOUN
ajst-6049	109	12	conference	conference	NOUN
ajst-6049	109	13	on	on	ADP
ajst-6049	109	14	computer	computer	NOUN
ajst-6049	109	15	vision	vision	NOUN
ajst-6049	109	16	and	and	CCONJ
ajst-6049	109	17	pattern	pattern	NOUN
ajst-6049	109	18	recognition	recognition	NOUN
ajst-6049	109	19	,	,	PUNCT
ajst-6049	109	20	honolulu	honolulu	PROPN
ajst-6049	109	21	,	,	PUNCT
ajst-6049	109	22	july	july	PROPN
ajst-6049	109	23	21	21	NUM
ajst-6049	109	24	-	-	SYM
ajst-6049	109	25	26	26	NUM
ajst-6049	109	26	,	,	PUNCT
ajst-6049	109	27	2017	2017	NUM
ajst-6049	109	28	.	.	PUNCT
ajst-6049	110	1	washington	washington	PROPN
ajst-6049	110	2	:	:	PUNCT
ajst-6049	110	3	ieee	ieee	NOUN
ajst-6049	110	4	computer	computer	NOUN
ajst-6049	110	5	society	society	NOUN
ajst-6049	110	6	,	,	PUNCT
ajst-6049	110	7	2017,1(2	2017,1(2	NUM
ajst-6049	110	8	):	):	PUNCT
ajst-6049	110	9	4.w.-k	4.w.-k	NOUN
ajst-6049	110	10	.	.	PUNCT
ajst-6049	111	1	chen	chen	PROPN
ajst-6049	111	2	,	,	PUNCT
ajst-6049	111	3	linear	linear	ADJ
ajst-6049	111	4	networks	network	NOUN
ajst-6049	111	5	and	and	CCONJ
ajst-6049	111	6	systems	system	NOUN
ajst-6049	111	7	(	(	PUNCT
ajst-6049	111	8	book	book	NOUN
ajst-6049	111	9	style	style	NOUN
ajst-6049	111	10	)	)	PUNCT
ajst-6049	111	11	.	.	PUNCT
ajst-6049	112	1	belmont	belmont	PROPN
ajst-6049	112	2	,	,	PUNCT
ajst-6049	112	3	ca	can	AUX
ajst-6049	112	4	:	:	PUNCT
ajst-6049	112	5	wadsworth	wadsworth	NOUN
ajst-6049	112	6	,	,	PUNCT
ajst-6049	112	7	1993	1993	NUM
ajst-6049	112	8	,	,	PUNCT
ajst-6049	112	9	pp	pp	ADP
ajst-6049	112	10	.	.	PUNCT
ajst-6049	113	1	123–135	123–135	NUM
ajst-6049	113	2	.	.	PUNCT
ajst-6049	114	1	[	[	X
ajst-6049	114	2	2	2	NUM
ajst-6049	114	3	]	]	PUNCT
ajst-6049	114	4	woo	woo	NOUN
ajst-6049	114	5	s	s	PROPN
ajst-6049	114	6	,	,	PUNCT
ajst-6049	114	7	park	park	PROPN
ajst-6049	114	8	jc	jc	PROPN
ajst-6049	114	9	,	,	PUNCT
ajst-6049	114	10	lee	lee	PROPN
ajst-6049	114	11	jy	jy	PROPN
ajst-6049	114	12	,	,	PUNCT
ajst-6049	114	13	et	et	PROPN
ajst-6049	114	14	al	al	PROPN
ajst-6049	114	15	.	.	PUNCT
ajst-6049	114	16	cbam	cbam	NOUN
ajst-6049	114	17	:	:	PUNCT
ajst-6049	114	18	convolutional	convolutional	ADJ
ajst-6049	114	19	block	block	NOUN
ajst-6049	114	20	attention	attention	NOUN
ajst-6049	114	21	module[c]//lncs	module[c]//lncs	PROPN
ajst-6049	114	22	11211	11211	NUM
ajst-6049	114	23	:	:	PUNCT
ajst-6049	114	24	proceedings	proceeding	NOUN
ajst-6049	114	25	of	of	ADP
ajst-6049	114	26	the	the	DET
ajst-6049	114	27	15th	15th	ADJ
ajst-6049	114	28	european	european	PROPN
ajst-6049	114	29	conference	conference	NOUN
ajst-6049	114	30	on	on	ADP
ajst-6049	114	31	computer	computer	NOUN
ajst-6049	114	32	vision	vision	NOUN
ajst-6049	114	33	,	,	PUNCT
ajst-6049	114	34	munich	munich	PROPN
ajst-6049	114	35	,	,	PUNCT
ajst-6049	114	36	september	september	PROPN
ajst-6049	114	37	8	8	NUM
ajst-6049	114	38	-	-	SYM
ajst-6049	114	39	14	14	NUM
ajst-6049	114	40	,	,	PUNCT
ajst-6049	114	41	2018	2018	NUM
ajst-6049	114	42	.	.	PUNCT
ajst-6049	115	1	heidelberg	heidelberg	NOUN
ajst-6049	115	2	:	:	PUNCT
ajst-6049	115	3	springer	springer	NOUN
ajst-6049	115	4	,	,	PUNCT
ajst-6049	115	5	2018	2018	NUM
ajst-6049	115	6	,	,	PUNCT
ajst-6049	115	7	3	3	NUM
ajst-6049	115	8	-	-	SYM
ajst-6049	115	9	19.b	19.b	NUM
ajst-6049	115	10	.	.	PUNCT
ajst-6049	116	1	smith	smith	PROPN
ajst-6049	116	2	,	,	PUNCT
ajst-6049	116	3	“	"	PUNCT
ajst-6049	116	4	an	an	DET
ajst-6049	116	5	approach	approach	NOUN
ajst-6049	116	6	to	to	ADP
ajst-6049	116	7	graphs	graph	NOUN
ajst-6049	116	8	of	of	ADP
ajst-6049	116	9	linear	linear	ADJ
ajst-6049	116	10	forms	form	NOUN
ajst-6049	116	11	(	(	PUNCT
ajst-6049	116	12	unpublished	unpublished	ADJ
ajst-6049	116	13	work	work	NOUN
ajst-6049	116	14	style	style	NOUN
ajst-6049	116	15	)	)	PUNCT
ajst-6049	116	16	,	,	PUNCT
ajst-6049	116	17	”	"	PUNCT
ajst-6049	116	18	unpublished	unpublished	ADJ
ajst-6049	116	19	.	.	PUNCT
ajst-6049	117	1	[	[	X
ajst-6049	117	2	3	3	X
ajst-6049	117	3	]	]	X
ajst-6049	117	4	yun	yun	PROPN
ajst-6049	117	5	s	s	PROPN
ajst-6049	117	6	,	,	PUNCT
ajst-6049	117	7	han	han	PROPN
ajst-6049	117	8	d	d	PROPN
ajst-6049	117	9	,	,	PUNCT
ajst-6049	117	10	chun	chun	PROPN
ajst-6049	117	11	s	s	PROPN
ajst-6049	117	12	,	,	PUNCT
ajst-6049	117	13	et	et	PROPN
ajst-6049	117	14	al	al	PROPN
ajst-6049	117	15	.	.	PROPN
ajst-6049	117	16	cutmix	cutmix	PROPN
ajst-6049	117	17	:	:	PUNCT
ajst-6049	117	18	regularization	regularization	NOUN
ajst-6049	117	19	strategy	strategy	NOUN
ajst-6049	117	20	to	to	PART
ajst-6049	117	21	train	train	VERB
ajst-6049	117	22	strong	strong	ADJ
ajst-6049	117	23	classifiers	classifier	NOUN
ajst-6049	117	24	with	with	ADP
ajst-6049	117	25	localizable	localizable	ADJ
ajst-6049	117	26	features.[c]//	features.[c]//	PROPN
ajst-6049	117	27	proceedings	proceeding	NOUN
ajst-6049	117	28	of	of	ADP
ajst-6049	117	29	the	the	DET
ajst-6049	117	30	ieee	ieee	NOUN
ajst-6049	117	31	international	international	PROPN
ajst-6049	117	32	conference	conference	NOUN
ajst-6049	117	33	on	on	ADP
ajst-6049	117	34	computer	computer	NOUN
ajst-6049	117	35	vision	vision	NOUN
ajst-6049	117	36	,	,	PUNCT
ajst-6049	117	37	seoul	seoul	PROPN
ajst-6049	117	38	,	,	PUNCT
ajst-6049	117	39	october	october	PROPN
ajst-6049	117	40	27november	27november	NUM
ajst-6049	117	41	2	2	NUM
ajst-6049	117	42	,	,	PUNCT
ajst-6049	117	43	2019	2019	NUM
ajst-6049	117	44	.	.	PUNCT
ajst-6049	118	1	washington	washington	PROPN
ajst-6049	118	2	:	:	PUNCT
ajst-6049	118	3	ieee	ieee	NOUN
ajst-6049	118	4	computer	computer	NOUN
ajst-6049	118	5	society	society	NOUN
ajst-6049	118	6	,	,	PUNCT
ajst-6049	118	7	2019	2019	NUM
ajst-6049	118	8	,	,	PUNCT
ajst-6049	118	9	6023–6032	6023–6032	NUM
ajst-6049	118	10	.	.	PUNCT
ajst-6049	119	1	[	[	X
ajst-6049	119	2	4	4	X
ajst-6049	119	3	]	]	X
ajst-6049	119	4	zheng	zheng	PROPN
ajst-6049	119	5	zh	zh	PROPN
ajst-6049	119	6	,	,	PUNCT
ajst-6049	119	7	wang	wang	PROPN
ajst-6049	119	8	p	p	PROPN
ajst-6049	119	9	,	,	PUNCT
ajst-6049	119	10	liu	liu	PROPN
ajst-6049	119	11	w	w	PROPN
ajst-6049	119	12	,	,	PUNCT
ajst-6049	119	13	et	et	PROPN
ajst-6049	119	14	al	al	PROPN
ajst-6049	119	15	.	.	PROPN
ajst-6049	119	16	distance	distance	NOUN
ajst-6049	119	17	-	-	PUNCT
ajst-6049	119	18	iou	iou	NOUN
ajst-6049	119	19	loss	loss	NOUN
ajst-6049	119	20	:	:	PUNCT
ajst-6049	119	21	faster	fast	ADJ
ajst-6049	119	22	and	and	CCONJ
ajst-6049	119	23	better	well	ADV
ajst-6049	119	24	learning	learn	VERB
ajst-6049	119	25	for	for	ADP
ajst-6049	119	26	bounding	bound	VERB
ajst-6049	119	27	box	box	NOUN
ajst-6049	119	28	regression.[j	regression.[j	PROPN
ajst-6049	119	29	]	]	PUNCT
ajst-6049	119	30	proceedings	proceeding	NOUN
ajst-6049	119	31	of	of	ADP
ajst-6049	119	32	the	the	DET
ajst-6049	119	33	34th	34th	ADJ
ajst-6049	119	34	aaai	aaai	PROPN
ajst-6049	119	35	conference	conference	NOUN
ajst-6049	119	36	on	on	ADP
ajst-6049	119	37	artifificial	artifificial	ADJ
ajst-6049	119	38	intelligence	intelligence	NOUN
ajst-6049	119	39	,	,	PUNCT
ajst-6049	119	40	2020	2020	NUM
ajst-6049	119	41	,	,	PUNCT
ajst-6049	119	42	34(7	34(7	NUM
ajst-6049	119	43	):	):	PUNCT
ajst-6049	119	44	12993	12993	NUM
ajst-6049	119	45	-	-	SYM
ajst-6049	119	46	13000	13000	NUM
ajst-6049	119	47	.	.	PUNCT
ajst-6049	120	1	[	[	X
ajst-6049	120	2	5	5	NUM
ajst-6049	120	3	]	]	X
ajst-6049	120	4	senyurek	senyurek	PROPN
ajst-6049	120	5	vy	vy	PROPN
ajst-6049	120	6	,	,	PUNCT
ajst-6049	120	7	imtiaz	imtiaz	PROPN
ajst-6049	120	8	mh	mh	PROPN
ajst-6049	120	9	,	,	PUNCT
ajst-6049	120	10	belsare	belsare	VERB
ajst-6049	120	11	p	p	PROPN
ajst-6049	120	12	,	,	PUNCT
ajst-6049	120	13	et	et	PROPN
ajst-6049	120	14	al	al	PROPN
ajst-6049	120	15	.	.	PROPN
ajst-6049	120	16	smoking	smoking	NOUN
ajst-6049	120	17	detection	detection	NOUN
ajst-6049	120	18	based	base	VERB
ajst-6049	120	19	on	on	ADP
ajst-6049	120	20	regularity	regularity	NOUN
ajst-6049	120	21	analysis	analysis	NOUN
ajst-6049	120	22	of	of	ADP
ajst-6049	120	23	hand	hand	NOUN
ajst-6049	120	24	to	to	ADP
ajst-6049	120	25	mouth	mouth	PROPN
ajst-6049	120	26	gestures[j	gestures[j	PROPN
ajst-6049	120	27	]	]	PUNCT
ajst-6049	120	28	.	.	PUNCT
ajst-6049	121	1	biomedical	biomedical	ADJ
ajst-6049	121	2	signal	signal	NOUN
ajst-6049	121	3	processing	processing	NOUN
ajst-6049	121	4	and	and	CCONJ
ajst-6049	121	5	control	control	NOUN
ajst-6049	121	6	,	,	PUNCT
ajst-6049	121	7	2019	2019	NUM
ajst-6049	121	8	,	,	PUNCT
ajst-6049	121	9	51	51	NUM
ajst-6049	121	10	:	:	SYM
ajst-6049	121	11	106	106	NUM
ajst-6049	121	12	-	-	SYM
ajst-6049	121	13	112	112	NUM
ajst-6049	121	14	.	.	PUNCT
ajst-6049	122	1	[	[	X
ajst-6049	122	2	6	6	NUM
ajst-6049	122	3	]	]	X
ajst-6049	122	4	senyurek	senyurek	PROPN
ajst-6049	122	5	v	v	PROPN
ajst-6049	122	6	,	,	PUNCT
ajst-6049	122	7	imtiaz	imtiaz	PROPN
ajst-6049	122	8	m	m	PROPN
ajst-6049	122	9	,	,	PUNCT
ajst-6049	122	10	et	et	PROPN
ajst-6049	122	11	al	al	PROPN
ajst-6049	122	12	.	.	PUNCT
ajst-6049	122	13	cigarette	cigarette	NOUN
ajst-6049	122	14	smoking	smoking	NOUN
ajst-6049	122	15	detection	detection	NOUN
ajst-6049	122	16	with	with	ADP
ajst-6049	122	17	an	an	DET
ajst-6049	122	18	inertial	inertial	ADJ
ajst-6049	122	19	sensor	sensor	NOUN
ajst-6049	122	20	and	and	CCONJ
ajst-6049	122	21	a	a	DET
ajst-6049	122	22	smart	smart	ADJ
ajst-6049	122	23	lighter[j	lighter[j	NOUN
ajst-6049	122	24	]	]	PUNCT
ajst-6049	122	25	.	.	PUNCT
ajst-6049	123	1	sensors	sensor	NOUN
ajst-6049	123	2	,	,	PUNCT
ajst-6049	123	3	2019	2019	NUM
ajst-6049	123	4	,	,	PUNCT
ajst-6049	123	5	19(3	19(3	NUM
ajst-6049	123	6	):	):	PUNCT
ajst-6049	123	7	570	570	NUM
ajst-6049	123	8	-	-	SYM
ajst-6049	123	9	588	588	NUM
ajst-6049	123	10	.	.	PUNCT
ajst-6049	124	1	[	[	X
ajst-6049	124	2	7	7	X
ajst-6049	124	3	]	]	PUNCT
ajst-6049	124	4	ye	ye	NUM
ajst-6049	124	5	s	s	PROPN
ajst-6049	124	6	,	,	PUNCT
ajst-6049	124	7	bai	bai	PROPN
ajst-6049	124	8	z	z	PROPN
ajst-6049	124	9	,	,	PUNCT
ajst-6049	124	10	chen	chen	PROPN
ajst-6049	124	11	h	h	PROPN
ajst-6049	124	12	,	,	PUNCT
ajst-6049	124	13	et	et	PROPN
ajst-6049	124	14	al	al	PROPN
ajst-6049	124	15	.	.	PUNCT
ajst-6049	125	1	an	an	DET
ajst-6049	125	2	effective	effective	ADJ
ajst-6049	125	3	algorithm	algorithm	NOUN
ajst-6049	125	4	to	to	PART
ajst-6049	125	5	detect	detect	VERB
ajst-6049	125	6	both	both	DET
ajst-6049	125	7	smoke	smoke	NOUN
ajst-6049	125	8	and	and	CCONJ
ajst-6049	125	9	flame	flame	NOUN
ajst-6049	125	10	using	use	VERB
ajst-6049	125	11	color	color	NOUN
ajst-6049	125	12	and	and	CCONJ
ajst-6049	125	13	wavelet	wavelet	PROPN
ajst-6049	125	14	analysis[j	analysis[j	PROPN
ajst-6049	125	15	]	]	PUNCT
ajst-6049	125	16	.	.	PUNCT
ajst-6049	126	1	pattern	pattern	NOUN
ajst-6049	126	2	recognition	recognition	NOUN
ajst-6049	126	3	and	and	CCONJ
ajst-6049	126	4	image	image	NOUN
ajst-6049	126	5	analysis	analysis	NOUN
ajst-6049	126	6	,	,	PUNCT
ajst-6049	126	7	2017	2017	NUM
ajst-6049	126	8	,	,	PUNCT
ajst-6049	126	9	27	27	NUM
ajst-6049	126	10	:	:	SYM
ajst-6049	126	11	131	131	NUM
ajst-6049	126	12	-	-	SYM
ajst-6049	126	13	138	138	NUM
ajst-6049	126	14	.	.	PUNCT
ajst-6049	127	1	[	[	X
ajst-6049	127	2	8	8	NUM
ajst-6049	127	3	]	]	X
ajst-6049	127	4	yan	yan	PROPN
ajst-6049	127	5	b	b	PROPN
ajst-6049	127	6	,	,	PUNCT
ajst-6049	127	7	zhang	zhang	PROPN
ajst-6049	127	8	jl	jl	PROPN
ajst-6049	127	9	.	.	PUNCT
ajst-6049	127	10	research	research	NOUN
ajst-6049	127	11	on	on	ADP
ajst-6049	127	12	image	image	NOUN
ajst-6049	127	13	translation	translation	NOUN
ajst-6049	127	14	based	base	VERB
ajst-6049	127	15	on	on	ADP
ajst-6049	127	16	generative	generative	ADJ
ajst-6049	127	17	adversarial	adversarial	ADJ
ajst-6049	127	18	network[j	network[j	NOUN
ajst-6049	127	19	]	]	PUNCT
ajst-6049	127	20	.	.	PUNCT
ajst-6049	128	1	foreign	foreign	ADJ
ajst-6049	128	2	electronic	electronic	ADJ
ajst-6049	128	3	measurement	measurement	NOUN
ajst-6049	128	4	technology	technology	NOUN
ajst-6049	128	5	,	,	PUNCT
ajst-6049	128	6	2019,38	2019,38	NUM
ajst-6049	128	7	(	(	PUNCT
ajst-6049	128	8	6)130	6)130	NUM
ajst-6049	128	9	-	-	SYM
ajst-6049	128	10	134	134	NUM
ajst-6049	128	11	.	.	PUNCT
ajst-6049	129	1	[	[	X
ajst-6049	129	2	9	9	NUM
ajst-6049	129	3	]	]	X
ajst-6049	129	4	sun	sun	NOUN
ajst-6049	129	5	x	x	PROPN
ajst-6049	129	6	,	,	PUNCT
ajst-6049	129	7	li	li	PROPN
ajst-6049	129	8	xg	xg	PROPN
ajst-6049	129	9	,	,	PUNCT
ajst-6049	129	10	li	li	PROPN
ajst-6049	129	11	jf	jf	PROPN
ajst-6049	129	12	,	,	PUNCT
ajst-6049	129	13	et	et	PROPN
ajst-6049	129	14	al	al	PROPN
ajst-6049	129	15	.	.	PUNCT
ajst-6049	129	16	research	research	NOUN
ajst-6049	129	17	progress	progress	NOUN
ajst-6049	129	18	of	of	ADP
ajst-6049	129	19	image	image	NOUN
ajst-6049	129	20	super	super	ADJ
ajst-6049	129	21	resolution	resolution	NOUN
ajst-6049	129	22	restoration	restoration	NOUN
ajst-6049	129	23	based	base	VERB
ajst-6049	129	24	on	on	ADP
ajst-6049	129	25	deep	deep	ADJ
ajst-6049	129	26	learning	learning	NOUN
ajst-6049	129	27	[	[	X
ajst-6049	129	28	j	j	X
ajst-6049	129	29	]	]	X
ajst-6049	129	30	.	.	PUNCT
ajst-6049	130	1	acta	acta	PROPN
ajst-6049	130	2	automatica	automatica	PROPN
ajst-6049	130	3	sinica	sinica	PROPN
ajst-6049	130	4	,	,	PUNCT
ajst-6049	130	5	2017,43(5):697	2017,43(5):697	PROPN
ajst-6049	130	6	-	-	SYM
ajst-6049	130	7	709	709	NUM
ajst-6049	130	8	.	.	PUNCT
ajst-6049	131	1	[	[	X
ajst-6049	131	2	10	10	NUM
ajst-6049	131	3	]	]	X
ajst-6049	131	4	du	du	PROPN
ajst-6049	131	5	qg	qg	PROPN
ajst-6049	131	6	,	,	PUNCT
ajst-6049	131	7	zhai	zhai	PROPN
ajst-6049	131	8	xc	xc	PROPN
ajst-6049	131	9	,	,	PUNCT
ajst-6049	131	10	wen	wen	PROPN
ajst-6049	131	11	q	q	PROPN
ajst-6049	131	12	,	,	PUNCT
ajst-6049	131	13	et	et	PROPN
ajst-6049	131	14	al	al	PROPN
ajst-6049	131	15	.	.	PUNCT
ajst-6049	131	16	recursive	recursive	ADJ
ajst-6049	131	17	error	error	NOUN
ajst-6049	131	18	analysis	analysis	NOUN
ajst-6049	131	19	of	of	ADP
ajst-6049	131	20	complex	complex	ADJ
ajst-6049	131	21	assembly	assembly	NOUN
ajst-6049	131	22	based	base	VERB
ajst-6049	131	23	on	on	ADP
ajst-6049	131	24	rigid	rigid	ADJ
ajst-6049	131	25	body	body	NOUN
ajst-6049	131	26	kinematics[j	kinematics[j	PROPN
ajst-6049	131	27	]	]	PUNCT
ajst-6049	131	28	.	.	PUNCT
ajst-6049	132	1	journal	journal	PROPN
ajst-6049	132	2	of	of	ADP
ajst-6049	132	3	south	south	PROPN
ajst-6049	132	4	china	china	PROPN
ajst-6049	132	5	university	university	PROPN
ajst-6049	132	6	of	of	ADP
ajst-6049	132	7	technology	technology	NOUN
ajst-6049	132	8	(	(	PUNCT
ajst-6049	132	9	natural	natural	ADJ
ajst-6049	132	10	science	science	NOUN
ajst-6049	132	11	edition	edition	NOUN
ajst-6049	132	12	)	)	PUNCT
ajst-6049	132	13	,	,	PUNCT
ajst-6049	132	14	2017,45	2017,45	NUM
ajst-6049	132	15	(	(	PUNCT
ajst-6049	132	16	9):26	9):26	NUM
ajst-6049	132	17	-	-	SYM
ajst-6049	132	18	33	33	NUM
ajst-6049	132	19	.	.	PUNCT
ajst-6049	133	1	[	[	X
ajst-6049	133	2	11	11	NUM
ajst-6049	133	3	]	]	X
ajst-6049	133	4	zhao	zhao	PROPN
ajst-6049	133	5	m	m	PROPN
ajst-6049	133	6	,	,	PUNCT
ajst-6049	133	7	zhang	zhang	PROPN
ajst-6049	133	8	w	w	PROPN
ajst-6049	133	9	,	,	PUNCT
ajst-6049	133	10	wang	wang	PROPN
ajst-6049	133	11	x	x	PROPN
ajst-6049	133	12	,	,	PUNCT
ajst-6049	133	13	et	et	PROPN
ajst-6049	133	14	al	al	PROPN
ajst-6049	133	15	.	.	PROPN
ajst-6049	133	16	smoke	smoke	NOUN
ajst-6049	133	17	detection	detection	NOUN
ajst-6049	133	18	based	base	VERB
ajst-6049	133	19	on	on	ADP
ajst-6049	133	20	spatio	spatio	PROPN
ajst-6049	133	21	-	-	PUNCT
ajst-6049	133	22	temporal	temporal	ADJ
ajst-6049	133	23	background	background	NOUN
ajst-6049	133	24	model	model	NOUN
ajst-6049	133	25	combined	combine	VERB
ajst-6049	133	26	with	with	ADP
ajst-6049	133	27	various	various	ADJ
ajst-6049	133	28	texture	texture	ADJ
ajst-6049	133	29	features[j	features[j	NOUN
ajst-6049	133	30	]	]	PUNCT
ajst-6049	133	31	.	.	PUNCT
ajst-6049	134	1	journal	journal	PROPN
ajst-6049	134	2	of	of	ADP
ajst-6049	134	3	xi	xi	PROPN
ajst-6049	134	4	'	'	PUNCT
ajst-6049	134	5	an	an	DET
ajst-6049	134	6	jiaotong	jiaotong	ADJ
ajst-6049	134	7	university	university	NOUN
ajst-6049	134	8	,	,	PUNCT
ajst-6049	134	9	2018	2018	NUM
ajst-6049	134	10	,	,	PUNCT
ajst-6049	134	11	52(8):72	52(8):72	PROPN
ajst-6049	134	12	-	-	SYM
ajst-6049	134	13	78	78	NUM
ajst-6049	134	14	.	.	PUNCT
ajst-6049	135	1	[	[	X
ajst-6049	135	2	12	12	NUM
ajst-6049	135	3	]	]	PUNCT
ajst-6049	135	4	muhammad	muhammad	PROPN
ajst-6049	135	5	k	k	PROPN
ajst-6049	135	6	,	,	PUNCT
ajst-6049	135	7	ahmad	ahmad	PROPN
ajst-6049	135	8	j	j	PROPN
ajst-6049	135	9	,	,	PUNCT
ajst-6049	135	10	mehmood	mehmood	PROPN
ajst-6049	135	11	i	i	PROPN
ajst-6049	135	12	,	,	PUNCT
ajst-6049	135	13	et	et	PROPN
ajst-6049	135	14	al	al	PROPN
ajst-6049	135	15	.	.	PUNCT
ajst-6049	136	1	convolutional	convolutional	ADJ
ajst-6049	136	2	neural	neural	ADJ
ajst-6049	136	3	networks	network	NOUN
ajst-6049	136	4	based	base	VERB
ajst-6049	136	5	fire	fire	NOUN
ajst-6049	136	6	detection	detection	NOUN
ajst-6049	136	7	in	in	ADP
ajst-6049	136	8	surveillance	surveillance	NOUN
ajst-6049	136	9	videos[j	videos[j	PROPN
ajst-6049	136	10	]	]	PUNCT
ajst-6049	136	11	.	.	PUNCT
ajst-6049	137	1	ieee	ieee	NOUN
ajst-6049	137	2	access	access	NOUN
ajst-6049	137	3	,	,	PUNCT
ajst-6049	137	4	2018	2018	NUM
ajst-6049	137	5	,	,	PUNCT
ajst-6049	137	6	6	6	NUM
ajst-6049	137	7	:	:	SYM
ajst-6049	137	8	18174	18174	NUM
ajst-6049	137	9	-	-	SYM
ajst-6049	137	10	18183	18183	NUM
ajst-6049	137	11	.	.	PUNCT