id	sid	tid	token	lemma	pos
cana-3200	1	1	communications	communication	NOUN
cana-3200	1	2	on	on	ADP
cana-3200	1	3	applied	apply	VERB
cana-3200	1	4	nonlinear	nonlinear	ADJ
cana-3200	1	5	analysis	analysis	NOUN
cana-3200	1	6	issn	issn	NOUN
cana-3200	1	7	:	:	PUNCT
cana-3200	1	8	1074	1074	NUM
cana-3200	1	9	-	-	PUNCT
cana-3200	1	10	133x	133x	NUM
cana-3200	1	11	vol	vol	NOUN
cana-3200	1	12	32	32	NUM
cana-3200	1	13	no	no	NOUN
cana-3200	1	14	.	.	PUNCT
cana-3200	2	1	5s	5s	NUM
cana-3200	2	2	(	(	PUNCT
cana-3200	2	3	2025	2025	NUM
cana-3200	2	4	)	)	PUNCT
cana-3200	2	5	607	607	NUM
cana-3200	2	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3200	2	7	optimized	optimize	VERB
cana-3200	2	8	vehicle	vehicle	NOUN
cana-3200	2	9	recovery	recovery	NOUN
cana-3200	2	10	:	:	PUNCT
cana-3200	2	11	leveraging	leverage	VERB
cana-3200	2	12	ai	ai	NOUN
cana-3200	2	13	and	and	CCONJ
cana-3200	2	14	cctv	cctv	PROPN
cana-3200	2	15	for	for	ADP
cana-3200	2	16	effective	effective	ADJ
cana-3200	2	17	tracking	tracking	NOUN
cana-3200	2	18	1	1	NUM
cana-3200	2	19	,	,	PUNCT
cana-3200	2	20	*	*	PROPN
cana-3200	3	1	priya	priya	PROPN
cana-3200	3	2	r.	r.	PROPN
cana-3200	3	3	l	l	PROPN
cana-3200	3	4	,	,	PUNCT
cana-3200	3	5	2sharmila	2sharmila	PROPN
cana-3200	3	6	sengupta	sengupta	NOUN
cana-3200	3	7	,	,	PUNCT
cana-3200	3	8	3gautam	3gautam	NUM
cana-3200	3	9	wadhwani	wadhwani	NOUN
cana-3200	3	10	,	,	PUNCT
cana-3200	3	11	4tanay	4tanay	PROPN
cana-3200	3	12	phatak	phatak	NOUN
cana-3200	3	13	,	,	PUNCT
cana-3200	3	14	5tanmay	5tanmay	NUM
cana-3200	3	15	thakare	thakare	NOUN
cana-3200	3	16	,	,	PUNCT
cana-3200	3	17	6teesha	6teesha	PROPN
cana-3200	3	18	karotra	karotra	PROPN
cana-3200	3	19	1,2,3,4,5,6department	1,2,3,4,5,6department	NOUN
cana-3200	3	20	of	of	ADP
cana-3200	3	21	computer	computer	NOUN
cana-3200	3	22	engineering	engineering	NOUN
cana-3200	3	23	,	,	PUNCT
cana-3200	3	24	vivekanand	vivekanand	NOUN
cana-3200	3	25	education	education	PROPN
cana-3200	3	26	society	society	PROPN
cana-3200	3	27	’s	’s	PART
cana-3200	3	28	institute	institute	PROPN
cana-3200	3	29	of	of	ADP
cana-3200	3	30	technology	technology	PROPN
cana-3200	3	31	,	,	PUNCT
cana-3200	3	32	chembur	chembur	PROPN
cana-3200	3	33	,	,	PUNCT
cana-3200	3	34	mumbai	mumbai	PROPN
cana-3200	3	35	,	,	PUNCT
cana-3200	3	36	india	india	PROPN
cana-3200	3	37	.	.	PUNCT
cana-3200	4	1	*	*	PUNCT
cana-3200	4	2	email	email	NOUN
cana-3200	4	3	:	:	PUNCT
cana-3200	4	4	priya.rl@ves.ac.in	priya.rl@ves.ac.in	NUM
cana-3200	4	5	article	article	NOUN
cana-3200	4	6	history	history	NOUN
cana-3200	4	7	:	:	PUNCT
cana-3200	4	8	received	receive	VERB
cana-3200	4	9	:	:	PUNCT
cana-3200	4	10	16	16	NUM
cana-3200	4	11	-	-	SYM
cana-3200	4	12	10	10	NUM
cana-3200	4	13	-	-	PUNCT
cana-3200	4	14	2024	2024	NUM
cana-3200	4	15	revised	revise	VERB
cana-3200	4	16	:	:	PUNCT
cana-3200	4	17	26	26	NUM
cana-3200	4	18	-	-	SYM
cana-3200	4	19	11	11	NUM
cana-3200	4	20	-	-	PUNCT
cana-3200	4	21	2024	2024	NUM
cana-3200	4	22	accepted	accept	VERB
cana-3200	4	23	:	:	PUNCT
cana-3200	4	24	12	12	NUM
cana-3200	4	25	-	-	SYM
cana-3200	4	26	12	12	NUM
cana-3200	4	27	-	-	PUNCT
cana-3200	4	28	2024	2024	NUM
cana-3200	4	29	abstract	abstract	NOUN
cana-3200	4	30	:	:	PUNCT
cana-3200	4	31	vehicle	vehicle	NOUN
cana-3200	4	32	theft	theft	NOUN
cana-3200	4	33	is	be	AUX
cana-3200	4	34	a	a	DET
cana-3200	4	35	rising	rise	VERB
cana-3200	4	36	crime	crime	NOUN
cana-3200	4	37	across	across	ADP
cana-3200	4	38	the	the	DET
cana-3200	4	39	globe	globe	NOUN
cana-3200	4	40	.	.	PUNCT
cana-3200	5	1	gps	gps	PROPN
cana-3200	5	2	trackers	tracker	NOUN
cana-3200	5	3	are	be	AUX
cana-3200	5	4	not	not	PART
cana-3200	5	5	a	a	DET
cana-3200	5	6	standard	standard	NOUN
cana-3200	5	7	fit	fit	ADJ
cana-3200	5	8	in	in	ADP
cana-3200	5	9	all	all	DET
cana-3200	5	10	vehicles	vehicle	NOUN
cana-3200	5	11	and	and	CCONJ
cana-3200	5	12	the	the	DET
cana-3200	5	13	lack	lack	NOUN
cana-3200	5	14	of	of	ADP
cana-3200	5	15	internet	internet	NOUN
cana-3200	5	16	connectivity	connectivity	NOUN
cana-3200	5	17	makes	make	VERB
cana-3200	5	18	tracking	track	VERB
cana-3200	5	19	down	down	ADP
cana-3200	5	20	stolen	steal	VERB
cana-3200	5	21	vehicles	vehicle	NOUN
cana-3200	5	22	challenging	challenge	VERB
cana-3200	5	23	for	for	ADP
cana-3200	5	24	officials	official	NOUN
cana-3200	5	25	.	.	PUNCT
cana-3200	6	1	gps	gps	PROPN
cana-3200	6	2	signals	signal	NOUN
cana-3200	6	3	can	can	AUX
cana-3200	6	4	be	be	AUX
cana-3200	6	5	affected	affect	VERB
cana-3200	6	6	by	by	ADP
cana-3200	6	7	different	different	ADJ
cana-3200	6	8	environmental	environmental	ADJ
cana-3200	6	9	factors	factor	NOUN
cana-3200	6	10	such	such	ADJ
cana-3200	6	11	as	as	ADP
cana-3200	6	12	terrain	terrain	NOUN
cana-3200	6	13	,	,	PUNCT
cana-3200	6	14	or	or	CCONJ
cana-3200	6	15	dense	dense	ADJ
cana-3200	6	16	foliage	foliage	NOUN
cana-3200	6	17	,	,	PUNCT
cana-3200	6	18	which	which	PRON
cana-3200	6	19	can	can	AUX
cana-3200	6	20	cause	cause	VERB
cana-3200	6	21	inaccuracies	inaccuracy	NOUN
cana-3200	6	22	in	in	ADP
cana-3200	6	23	location	location	NOUN
cana-3200	6	24	tracking	tracking	NOUN
cana-3200	6	25	.	.	PUNCT
cana-3200	7	1	in	in	ADP
cana-3200	7	2	order	order	NOUN
cana-3200	7	3	to	to	PART
cana-3200	7	4	address	address	VERB
cana-3200	7	5	these	these	DET
cana-3200	7	6	problems	problem	NOUN
cana-3200	7	7	,	,	PUNCT
cana-3200	7	8	the	the	DET
cana-3200	7	9	suggested	suggest	VERB
cana-3200	7	10	solution	solution	NOUN
cana-3200	7	11	makes	make	VERB
cana-3200	7	12	use	use	NOUN
cana-3200	7	13	of	of	ADP
cana-3200	7	14	the	the	DET
cana-3200	7	15	cctv	cctv	NOUN
cana-3200	7	16	system	system	NOUN
cana-3200	7	17	to	to	PART
cana-3200	7	18	follow	follow	VERB
cana-3200	7	19	the	the	DET
cana-3200	7	20	route	route	NOUN
cana-3200	7	21	of	of	ADP
cana-3200	7	22	a	a	DET
cana-3200	7	23	stolen	steal	VERB
cana-3200	7	24	car	car	NOUN
cana-3200	7	25	and	and	CCONJ
cana-3200	7	26	speed	speed	VERB
cana-3200	7	27	up	up	ADP
cana-3200	7	28	the	the	DET
cana-3200	7	29	search	search	NOUN
cana-3200	7	30	effort	effort	NOUN
cana-3200	7	31	.	.	PUNCT
cana-3200	8	1	the	the	DET
cana-3200	8	2	suggested	suggest	VERB
cana-3200	8	3	concept	concept	NOUN
cana-3200	8	4	presents	present	VERB
cana-3200	8	5	a	a	DET
cana-3200	8	6	successful	successful	ADJ
cana-3200	8	7	method	method	NOUN
cana-3200	8	8	for	for	ADP
cana-3200	8	9	detecting	detect	VERB
cana-3200	8	10	and	and	CCONJ
cana-3200	8	11	monitoring	monitor	VERB
cana-3200	8	12	stolen	steal	VERB
cana-3200	8	13	cars	car	NOUN
cana-3200	8	14	through	through	ADP
cana-3200	8	15	cctv	cctv	PROPN
cana-3200	8	16	videos	video	NOUN
cana-3200	8	17	,	,	PUNCT
cana-3200	8	18	utilizing	utilize	VERB
cana-3200	8	19	advanced	advanced	ADJ
cana-3200	8	20	computer	computer	NOUN
cana-3200	8	21	vision	vision	NOUN
cana-3200	8	22	and	and	CCONJ
cana-3200	8	23	deep	deep	ADJ
cana-3200	8	24	learning	learning	NOUN
cana-3200	8	25	methods	method	NOUN
cana-3200	8	26	.	.	PUNCT
cana-3200	9	1	reviewing	review	VERB
cana-3200	9	2	the	the	DET
cana-3200	9	3	cctv	cctv	PROPN
cana-3200	9	4	footage	footage	NOUN
cana-3200	9	5	from	from	ADP
cana-3200	9	6	various	various	ADJ
cana-3200	9	7	sources	source	NOUN
cana-3200	9	8	can	can	AUX
cana-3200	9	9	expedite	expedite	VERB
cana-3200	9	10	the	the	DET
cana-3200	9	11	reaction	reaction	NOUN
cana-3200	9	12	and	and	CCONJ
cana-3200	9	13	improve	improve	VERB
cana-3200	9	14	the	the	DET
cana-3200	9	15	retrieval	retrieval	NOUN
cana-3200	9	16	while	while	SCONJ
cana-3200	9	17	upholding	uphold	VERB
cana-3200	9	18	data	data	NOUN
cana-3200	9	19	privacy	privacy	NOUN
cana-3200	9	20	.	.	PUNCT
cana-3200	10	1	the	the	DET
cana-3200	10	2	accuracy	accuracy	NOUN
cana-3200	10	3	of	of	ADP
cana-3200	10	4	predicting	predict	VERB
cana-3200	10	5	car	car	NOUN
cana-3200	10	6	color	color	NOUN
cana-3200	10	7	and	and	CCONJ
cana-3200	10	8	car	car	NOUN
cana-3200	10	9	model	model	NOUN
cana-3200	10	10	was	be	AUX
cana-3200	10	11	above	above	ADP
cana-3200	10	12	90	90	NUM
cana-3200	10	13	%	%	NOUN
cana-3200	10	14	in	in	ADP
cana-3200	10	15	the	the	DET
cana-3200	10	16	results	result	NOUN
cana-3200	10	17	.	.	PUNCT
cana-3200	11	1	the	the	DET
cana-3200	11	2	car	car	NOUN
cana-3200	11	3	routes	route	NOUN
cana-3200	11	4	are	be	AUX
cana-3200	11	5	forecasted	forecast	VERB
cana-3200	11	6	with	with	ADP
cana-3200	11	7	rmse	rmse	ADJ
cana-3200	11	8	score	score	NOUN
cana-3200	11	9	of	of	ADP
cana-3200	11	10	0.000171	0.000171	NUM
cana-3200	11	11	.	.	PUNCT
cana-3200	12	1	the	the	DET
cana-3200	12	2	suggested	suggest	VERB
cana-3200	12	3	model	model	NOUN
cana-3200	12	4	proposes	propose	VERB
cana-3200	12	5	a	a	DET
cana-3200	12	6	tracking	tracking	NOUN
cana-3200	12	7	solution	solution	NOUN
cana-3200	12	8	that	that	PRON
cana-3200	12	9	utilizes	utilize	VERB
cana-3200	12	10	the	the	DET
cana-3200	12	11	current	current	ADJ
cana-3200	12	12	cctv	cctv	NOUN
cana-3200	12	13	infrastructure	infrastructure	NOUN
cana-3200	12	14	without	without	ADP
cana-3200	12	15	requiring	require	VERB
cana-3200	12	16	any	any	DET
cana-3200	12	17	extra	extra	ADJ
cana-3200	12	18	hardware	hardware	NOUN
cana-3200	12	19	to	to	PART
cana-3200	12	20	be	be	AUX
cana-3200	12	21	installed	instal	VERB
cana-3200	12	22	in	in	ADP
cana-3200	12	23	the	the	DET
cana-3200	12	24	vehicles	vehicle	NOUN
cana-3200	12	25	.	.	PUNCT
cana-3200	13	1	keywords	keyword	NOUN
cana-3200	13	2	:	:	PUNCT
cana-3200	13	3	vehicle	vehicle	NOUN
cana-3200	13	4	tracking	tracking	NOUN
cana-3200	13	5	,	,	PUNCT
cana-3200	13	6	computer	computer	NOUN
cana-3200	13	7	vision	vision	NOUN
cana-3200	13	8	,	,	PUNCT
cana-3200	13	9	deep	deep	ADJ
cana-3200	13	10	learning	learning	NOUN
cana-3200	13	11	,	,	PUNCT
cana-3200	13	12	artificial	artificial	ADJ
cana-3200	13	13	intelligence	intelligence	NOUN
cana-3200	13	14	,	,	PUNCT
cana-3200	13	15	optical	optical	ADJ
cana-3200	13	16	character	character	NOUN
cana-3200	13	17	recognition	recognition	NOUN
cana-3200	13	18	.	.	PUNCT
cana-3200	14	1	1	1	X
cana-3200	14	2	.	.	X
cana-3200	14	3	introduction	introduction	NOUN
cana-3200	14	4	vehicle	vehicle	NOUN
cana-3200	14	5	theft	theft	NOUN
cana-3200	14	6	remains	remain	VERB
cana-3200	14	7	a	a	DET
cana-3200	14	8	persistent	persistent	ADJ
cana-3200	14	9	challenge	challenge	NOUN
cana-3200	14	10	for	for	ADP
cana-3200	14	11	law	law	NOUN
cana-3200	14	12	enforcement	enforcement	NOUN
cana-3200	14	13	agencies	agency	NOUN
cana-3200	14	14	worldwide	worldwide	ADV
cana-3200	14	15	,	,	PUNCT
cana-3200	14	16	demanding	demand	VERB
cana-3200	14	17	innovative	innovative	ADJ
cana-3200	14	18	strategies	strategy	NOUN
cana-3200	14	19	to	to	PART
cana-3200	14	20	combat	combat	VERB
cana-3200	14	21	this	this	DET
cana-3200	14	22	crime	crime	NOUN
cana-3200	14	23	effectively	effectively	ADV
cana-3200	14	24	.	.	PUNCT
cana-3200	15	1	in	in	ADP
cana-3200	15	2	india	india	PROPN
cana-3200	15	3	,	,	PUNCT
cana-3200	15	4	major	major	ADJ
cana-3200	15	5	cities	city	NOUN
cana-3200	15	6	like	like	ADP
cana-3200	15	7	new	new	PROPN
cana-3200	15	8	delhi	delhi	PROPN
cana-3200	15	9	have	have	AUX
cana-3200	15	10	seen	see	VERB
cana-3200	15	11	a	a	DET
cana-3200	15	12	significant	significant	ADJ
cana-3200	15	13	increase	increase	NOUN
cana-3200	15	14	in	in	ADP
cana-3200	15	15	vehicle	vehicle	NOUN
cana-3200	15	16	theft	theft	NOUN
cana-3200	15	17	,	,	PUNCT
cana-3200	15	18	with	with	ADP
cana-3200	15	19	reported	report	VERB
cana-3200	15	20	incidents	incident	NOUN
cana-3200	15	21	rising	rise	VERB
cana-3200	15	22	2.5	2.5	NUM
cana-3200	15	23	times	time	NOUN
cana-3200	15	24	from	from	ADP
cana-3200	15	25	2022	2022	NUM
cana-3200	15	26	to	to	ADP
cana-3200	15	27	2023	2023	NUM
cana-3200	15	28	[	[	X
cana-3200	15	29	1	1	NUM
cana-3200	15	30	]	]	PUNCT
cana-3200	15	31	.	.	PUNCT
cana-3200	16	1	traditionally	traditionally	ADV
cana-3200	16	2	,	,	PUNCT
cana-3200	16	3	law	law	NOUN
cana-3200	16	4	enforcement	enforcement	NOUN
cana-3200	16	5	has	have	AUX
cana-3200	16	6	relied	rely	VERB
cana-3200	16	7	on	on	ADP
cana-3200	16	8	labour	labour	NOUN
cana-3200	16	9	-	-	PUNCT
cana-3200	16	10	intensive	intensive	ADJ
cana-3200	16	11	fieldwork	fieldwork	NOUN
cana-3200	16	12	to	to	PART
cana-3200	16	13	gather	gather	VERB
cana-3200	16	14	information	information	NOUN
cana-3200	16	15	from	from	ADP
cana-3200	16	16	eyewitnesses	eyewitness	NOUN
cana-3200	16	17	and	and	CCONJ
cana-3200	16	18	local	local	ADJ
cana-3200	16	19	sources	source	NOUN
cana-3200	16	20	,	,	PUNCT
cana-3200	16	21	a	a	DET
cana-3200	16	22	method	method	NOUN
cana-3200	16	23	often	often	ADV
cana-3200	16	24	plagued	plague	VERB
cana-3200	16	25	by	by	ADP
cana-3200	16	26	inefficiencies	inefficiency	NOUN
cana-3200	16	27	and	and	CCONJ
cana-3200	16	28	inaccuracies	inaccuracy	NOUN
cana-3200	16	29	.	.	PUNCT
cana-3200	17	1	recent	recent	ADJ
cana-3200	17	2	technological	technological	ADJ
cana-3200	17	3	advancements	advancement	NOUN
cana-3200	17	4	have	have	AUX
cana-3200	17	5	introduced	introduce	VERB
cana-3200	17	6	more	more	ADV
cana-3200	17	7	sophisticated	sophisticated	ADJ
cana-3200	17	8	approaches	approach	NOUN
cana-3200	17	9	to	to	ADP
cana-3200	17	10	tackling	tackle	VERB
cana-3200	17	11	vehicle	vehicle	NOUN
cana-3200	17	12	theft	theft	NOUN
cana-3200	17	13	.	.	PUNCT
cana-3200	18	1	one	one	NUM
cana-3200	18	2	promising	promise	VERB
cana-3200	18	3	avenue	avenue	NOUN
cana-3200	18	4	involves	involve	VERB
cana-3200	18	5	harnessing	harness	VERB
cana-3200	18	6	surveillance	surveillance	NOUN
cana-3200	18	7	cameras	camera	NOUN
cana-3200	18	8	installed	instal	VERB
cana-3200	18	9	in	in	ADP
cana-3200	18	10	public	public	ADJ
cana-3200	18	11	spaces	space	NOUN
cana-3200	18	12	,	,	PUNCT
cana-3200	18	13	which	which	PRON
cana-3200	18	14	continuously	continuously	ADV
cana-3200	18	15	capture	capture	VERB
cana-3200	18	16	extensive	extensive	ADJ
cana-3200	18	17	visual	visual	ADJ
cana-3200	18	18	data	datum	NOUN
cana-3200	18	19	,	,	PUNCT
cana-3200	18	20	including	include	VERB
cana-3200	18	21	criminal	criminal	ADJ
cana-3200	18	22	activities	activity	NOUN
cana-3200	18	23	such	such	ADJ
cana-3200	18	24	as	as	ADP
cana-3200	18	25	vehicle	vehicle	NOUN
cana-3200	18	26	theft	theft	NOUN
cana-3200	18	27	.	.	PUNCT
cana-3200	19	1	however	however	ADV
cana-3200	19	2	,	,	PUNCT
cana-3200	19	3	manual	manual	ADJ
cana-3200	19	4	analysis	analysis	NOUN
cana-3200	19	5	of	of	ADP
cana-3200	19	6	this	this	DET
cana-3200	19	7	vast	vast	ADJ
cana-3200	19	8	and	and	CCONJ
cana-3200	19	9	complex	complex	ADJ
cana-3200	19	10	data	datum	NOUN
cana-3200	19	11	is	be	AUX
cana-3200	19	12	impractical	impractical	ADJ
cana-3200	19	13	.	.	PUNCT
cana-3200	20	1	to	to	PART
cana-3200	20	2	address	address	VERB
cana-3200	20	3	this	this	DET
cana-3200	20	4	challenge	challenge	NOUN
cana-3200	20	5	,	,	PUNCT
cana-3200	20	6	law	law	NOUN
cana-3200	20	7	enforcement	enforcement	NOUN
cana-3200	20	8	agencies	agency	NOUN
cana-3200	20	9	are	be	AUX
cana-3200	20	10	increasingly	increasingly	ADV
cana-3200	20	11	turning	turn	VERB
cana-3200	20	12	to	to	ADP
cana-3200	20	13	smart	smart	ADJ
cana-3200	20	14	technologies	technology	NOUN
cana-3200	20	15	powered	power	VERB
cana-3200	20	16	by	by	ADP
cana-3200	20	17	artificial	artificial	ADJ
cana-3200	20	18	intelligence	intelligence	NOUN
cana-3200	20	19	(	(	PUNCT
cana-3200	20	20	ai	ai	NOUN
cana-3200	20	21	)	)	PUNCT
cana-3200	20	22	and	and	CCONJ
cana-3200	20	23	computer	computer	NOUN
cana-3200	20	24	vision	vision	NOUN
cana-3200	20	25	.	.	PUNCT
cana-3200	21	1	a	a	DET
cana-3200	21	2	promising	promising	ADJ
cana-3200	21	3	technique	technique	NOUN
cana-3200	21	4	involves	involve	VERB
cana-3200	21	5	using	use	VERB
cana-3200	21	6	artificial	artificial	ADJ
cana-3200	21	7	intelligence	intelligence	NOUN
cana-3200	21	8	to	to	PART
cana-3200	21	9	analyze	analyze	VERB
cana-3200	21	10	cctv	cctv	NOUN
cana-3200	21	11	footage	footage	NOUN
cana-3200	21	12	and	and	CCONJ
cana-3200	21	13	automatically	automatically	ADV
cana-3200	21	14	detect	detect	VERB
cana-3200	21	15	,	,	PUNCT
cana-3200	21	16	identify	identify	VERB
cana-3200	21	17	,	,	PUNCT
cana-3200	21	18	and	and	CCONJ
cana-3200	21	19	track	track	NOUN
cana-3200	21	20	vehicles	vehicle	NOUN
cana-3200	21	21	.	.	PUNCT
cana-3200	22	1	ai	ai	VERB
cana-3200	22	2	algorithms	algorithm	NOUN
cana-3200	22	3	can	can	AUX
cana-3200	22	4	discern	discern	VERB
cana-3200	22	5	license	license	NOUN
cana-3200	22	6	plates	plate	NOUN
cana-3200	22	7	,	,	PUNCT
cana-3200	22	8	vehicle	vehicle	NOUN
cana-3200	22	9	make	make	NOUN
cana-3200	22	10	and	and	CCONJ
cana-3200	22	11	model	model	NOUN
cana-3200	22	12	,	,	PUNCT
cana-3200	22	13	and	and	CCONJ
cana-3200	22	14	unique	unique	ADJ
cana-3200	22	15	features	feature	NOUN
cana-3200	22	16	like	like	ADP
cana-3200	22	17	dents	dent	NOUN
cana-3200	22	18	or	or	CCONJ
cana-3200	22	19	decals	decal	NOUN
cana-3200	22	20	.	.	PUNCT
cana-3200	23	1	by	by	ADP
cana-3200	23	2	aggregating	aggregate	VERB
cana-3200	23	3	data	datum	NOUN
cana-3200	23	4	from	from	ADP
cana-3200	23	5	multiple	multiple	ADJ
cana-3200	23	6	communications	communication	NOUN
cana-3200	23	7	on	on	ADP
cana-3200	23	8	applied	apply	VERB
cana-3200	23	9	nonlinear	nonlinear	ADJ
cana-3200	23	10	analysis	analysis	NOUN
cana-3200	23	11	issn	issn	NOUN
cana-3200	23	12	:	:	PUNCT
cana-3200	23	13	1074	1074	NUM
cana-3200	23	14	-	-	PUNCT
cana-3200	23	15	133x	133x	NUM
cana-3200	23	16	vol	vol	NOUN
cana-3200	23	17	32	32	NUM
cana-3200	23	18	no	no	NOUN
cana-3200	23	19	.	.	PUNCT
cana-3200	24	1	5s	5s	NUM
cana-3200	24	2	(	(	PUNCT
cana-3200	24	3	2025	2025	NUM
cana-3200	24	4	)	)	PUNCT
cana-3200	24	5	608	608	NUM
cana-3200	24	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3200	24	7	cameras	camera	NOUN
cana-3200	24	8	,	,	PUNCT
cana-3200	24	9	authorities	authority	NOUN
cana-3200	24	10	can	can	AUX
cana-3200	24	11	map	map	VERB
cana-3200	24	12	out	out	ADP
cana-3200	24	13	a	a	DET
cana-3200	24	14	comprehensive	comprehensive	ADJ
cana-3200	24	15	route	route	NOUN
cana-3200	24	16	of	of	ADP
cana-3200	24	17	a	a	DET
cana-3200	24	18	stolen	steal	VERB
cana-3200	24	19	vehicle	vehicle	NOUN
cana-3200	24	20	's	's	PART
cana-3200	24	21	movements	movement	NOUN
cana-3200	24	22	,	,	PUNCT
cana-3200	24	23	significantly	significantly	ADV
cana-3200	24	24	enhancing	enhance	VERB
cana-3200	24	25	their	their	PRON
cana-3200	24	26	ability	ability	NOUN
cana-3200	24	27	to	to	PART
cana-3200	24	28	apprehend	apprehend	VERB
cana-3200	24	29	suspects	suspect	NOUN
cana-3200	24	30	and	and	CCONJ
cana-3200	24	31	recover	recover	VERB
cana-3200	24	32	stolen	steal	VERB
cana-3200	24	33	vehicles	vehicle	NOUN
cana-3200	24	34	.	.	PUNCT
cana-3200	25	1	furthermore	furthermore	ADV
cana-3200	25	2	,	,	PUNCT
cana-3200	25	3	ai	ai	AUX
cana-3200	25	4	-	-	PUNCT
cana-3200	25	5	driven	drive	VERB
cana-3200	25	6	systems	system	NOUN
cana-3200	25	7	can	can	AUX
cana-3200	25	8	analyze	analyze	VERB
cana-3200	25	9	vehicle	vehicle	NOUN
cana-3200	25	10	behaviour	behaviour	NOUN
cana-3200	25	11	patterns	pattern	NOUN
cana-3200	25	12	and	and	CCONJ
cana-3200	25	13	anomalies	anomaly	NOUN
cana-3200	25	14	,	,	PUNCT
cana-3200	25	15	aiding	aid	VERB
cana-3200	25	16	law	law	NOUN
cana-3200	25	17	enforcement	enforcement	NOUN
cana-3200	25	18	in	in	ADP
cana-3200	25	19	predicting	predict	VERB
cana-3200	25	20	and	and	CCONJ
cana-3200	25	21	preventing	prevent	VERB
cana-3200	25	22	future	future	ADJ
cana-3200	25	23	thefts	theft	NOUN
cana-3200	25	24	.	.	PUNCT
cana-3200	26	1	for	for	ADP
cana-3200	26	2	instance	instance	NOUN
cana-3200	26	3	,	,	PUNCT
cana-3200	26	4	deviations	deviation	NOUN
cana-3200	26	5	from	from	ADP
cana-3200	26	6	usual	usual	ADJ
cana-3200	26	7	routes	route	NOUN
cana-3200	26	8	or	or	CCONJ
cana-3200	26	9	suspicious	suspicious	ADJ
cana-3200	26	10	behaviours	behaviour	NOUN
cana-3200	26	11	such	such	ADJ
cana-3200	26	12	as	as	ADP
cana-3200	26	13	frequent	frequent	ADJ
cana-3200	26	14	stops	stop	NOUN
cana-3200	26	15	in	in	ADP
cana-3200	26	16	isolated	isolated	ADJ
cana-3200	26	17	areas	area	NOUN
cana-3200	26	18	can	can	AUX
cana-3200	26	19	trigger	trigger	VERB
cana-3200	26	20	automatic	automatic	ADJ
cana-3200	26	21	alerts	alert	NOUN
cana-3200	26	22	,	,	PUNCT
cana-3200	26	23	enabling	enable	VERB
cana-3200	26	24	swift	swift	ADJ
cana-3200	26	25	intervention	intervention	NOUN
cana-3200	26	26	by	by	ADP
cana-3200	26	27	authorities	authority	NOUN
cana-3200	26	28	.	.	PUNCT
cana-3200	27	1	integrating	integrate	VERB
cana-3200	27	2	smart	smart	ADJ
cana-3200	27	3	technologies	technology	NOUN
cana-3200	27	4	with	with	ADP
cana-3200	27	5	existing	exist	VERB
cana-3200	27	6	surveillance	surveillance	NOUN
cana-3200	27	7	infrastructure	infrastructure	NOUN
cana-3200	27	8	streamlines	streamline	NOUN
cana-3200	27	9	vehicle	vehicle	NOUN
cana-3200	27	10	theft	theft	NOUN
cana-3200	27	11	investigations	investigation	NOUN
cana-3200	27	12	reduces	reduce	VERB
cana-3200	27	13	reliance	reliance	NOUN
cana-3200	27	14	on	on	ADP
cana-3200	27	15	manual	manual	ADJ
cana-3200	27	16	efforts	effort	NOUN
cana-3200	27	17	,	,	PUNCT
cana-3200	27	18	and	and	CCONJ
cana-3200	27	19	enhances	enhance	VERB
cana-3200	27	20	overall	overall	ADJ
cana-3200	27	21	effectiveness	effectiveness	NOUN
cana-3200	27	22	.	.	PUNCT
cana-3200	28	1	these	these	DET
cana-3200	28	2	advancements	advancement	NOUN
cana-3200	28	3	not	not	PART
cana-3200	28	4	only	only	ADV
cana-3200	28	5	bolster	bolster	VERB
cana-3200	28	6	law	law	NOUN
cana-3200	28	7	enforcement	enforcement	NOUN
cana-3200	28	8	capabilities	capability	NOUN
cana-3200	28	9	but	but	CCONJ
cana-3200	28	10	also	also	ADV
cana-3200	28	11	act	act	VERB
cana-3200	28	12	as	as	ADP
cana-3200	28	13	a	a	DET
cana-3200	28	14	deterrent	deterrent	NOUN
cana-3200	28	15	to	to	ADP
cana-3200	28	16	potential	potential	ADJ
cana-3200	28	17	offenders	offender	NOUN
cana-3200	28	18	,	,	PUNCT
cana-3200	28	19	contributing	contribute	VERB
cana-3200	28	20	to	to	ADP
cana-3200	28	21	a	a	DET
cana-3200	28	22	safer	safe	ADJ
cana-3200	28	23	and	and	CCONJ
cana-3200	28	24	more	more	ADV
cana-3200	28	25	secure	secure	ADJ
cana-3200	28	26	society	society	NOUN
cana-3200	28	27	.	.	PUNCT
cana-3200	29	1	the	the	DET
cana-3200	29	2	structure	structure	NOUN
cana-3200	29	3	of	of	ADP
cana-3200	29	4	the	the	DET
cana-3200	29	5	paper	paper	NOUN
cana-3200	29	6	is	be	AUX
cana-3200	29	7	as	as	SCONJ
cana-3200	29	8	follows	follow	VERB
cana-3200	29	9	.	.	PUNCT
cana-3200	30	1	section	section	NOUN
cana-3200	30	2	2	2	NUM
cana-3200	30	3	describes	describe	VERB
cana-3200	30	4	the	the	DET
cana-3200	30	5	literature	literature	NOUN
cana-3200	30	6	survey	survey	NOUN
cana-3200	30	7	performed	perform	VERB
cana-3200	30	8	related	relate	VERB
cana-3200	30	9	to	to	ADP
cana-3200	30	10	the	the	DET
cana-3200	30	11	problem	problem	NOUN
cana-3200	30	12	statement	statement	NOUN
cana-3200	30	13	.	.	PUNCT
cana-3200	31	1	section	section	NOUN
cana-3200	31	2	3	3	NUM
cana-3200	31	3	describes	describe	VERB
cana-3200	31	4	the	the	DET
cana-3200	31	5	proposed	propose	VERB
cana-3200	31	6	system	system	NOUN
cana-3200	31	7	with	with	ADP
cana-3200	31	8	block	block	NOUN
cana-3200	31	9	diagrams	diagram	NOUN
cana-3200	31	10	and	and	CCONJ
cana-3200	31	11	their	their	PRON
cana-3200	31	12	detailed	detailed	ADJ
cana-3200	31	13	description	description	NOUN
cana-3200	31	14	.	.	PUNCT
cana-3200	32	1	section	section	NOUN
cana-3200	32	2	4	4	NUM
cana-3200	32	3	explains	explain	VERB
cana-3200	32	4	the	the	DET
cana-3200	32	5	methodology	methodology	NOUN
cana-3200	32	6	employed	employ	VERB
cana-3200	32	7	.	.	PUNCT
cana-3200	33	1	section	section	NOUN
cana-3200	33	2	5	5	NUM
cana-3200	33	3	discusses	discuss	VERB
cana-3200	33	4	the	the	DET
cana-3200	33	5	results	result	NOUN
cana-3200	33	6	in	in	ADP
cana-3200	33	7	detail	detail	NOUN
cana-3200	33	8	.	.	PUNCT
cana-3200	34	1	finally	finally	ADV
cana-3200	34	2	,	,	PUNCT
cana-3200	34	3	the	the	DET
cana-3200	34	4	paper	paper	NOUN
cana-3200	34	5	concludes	conclude	VERB
cana-3200	34	6	in	in	ADP
cana-3200	34	7	section	section	NOUN
cana-3200	34	8	6	6	NUM
cana-3200	34	9	followed	follow	VERB
cana-3200	34	10	by	by	ADP
cana-3200	34	11	section	section	NOUN
cana-3200	34	12	7	7	NUM
cana-3200	34	13	being	be	AUX
cana-3200	34	14	the	the	DET
cana-3200	34	15	references	reference	NOUN
cana-3200	34	16	.	.	PUNCT
cana-3200	35	1	2	2	X
cana-3200	35	2	.	.	X
cana-3200	35	3	literature	literature	NOUN
cana-3200	35	4	survey	survey	PROPN
cana-3200	35	5	k.v	k.v	PROPN
cana-3200	35	6	.	.	PROPN
cana-3200	35	7	kadambari	kadambari	NOUN
cana-3200	35	8	,	,	PUNCT
cana-3200	35	9	et.al	et.al	VERB
cana-3200	35	10	[	[	X
cana-3200	35	11	2	2	NUM
cana-3200	35	12	]	]	PUNCT
cana-3200	35	13	,	,	PUNCT
cana-3200	35	14	put	put	VERB
cana-3200	35	15	forth	forth	ADP
cana-3200	35	16	a	a	DET
cana-3200	35	17	system	system	NOUN
cana-3200	35	18	that	that	PRON
cana-3200	35	19	uses	use	VERB
cana-3200	35	20	a	a	DET
cana-3200	35	21	deep	deep	ADJ
cana-3200	35	22	learning	learning	NOUN
cana-3200	35	23	technique	technique	NOUN
cana-3200	35	24	to	to	PART
cana-3200	35	25	extract	extract	VERB
cana-3200	35	26	number	number	NOUN
cana-3200	35	27	plates	plate	NOUN
cana-3200	35	28	from	from	ADP
cana-3200	35	29	the	the	DET
cana-3200	35	30	cars	car	NOUN
cana-3200	35	31	using	use	VERB
cana-3200	35	32	cctv	cctv	PROPN
cana-3200	35	33	footage	footage	NOUN
cana-3200	35	34	captured	capture	VERB
cana-3200	35	35	in	in	ADP
cana-3200	35	36	arunachal	arunachal	PROPN
cana-3200	35	37	pradesh	pradesh	PROPN
cana-3200	35	38	.	.	PUNCT
cana-3200	36	1	the	the	DET
cana-3200	36	2	author	author	NOUN
cana-3200	36	3	employed	employ	VERB
cana-3200	36	4	tesseract	tesseract	PROPN
cana-3200	36	5	ocr	ocr	PROPN
cana-3200	36	6	to	to	PART
cana-3200	36	7	recognize	recognize	VERB
cana-3200	36	8	the	the	DET
cana-3200	36	9	characters	character	NOUN
cana-3200	36	10	from	from	ADP
cana-3200	36	11	the	the	DET
cana-3200	36	12	number	number	NOUN
cana-3200	36	13	plates	plate	NOUN
cana-3200	36	14	.	.	PUNCT
cana-3200	37	1	they	they	PRON
cana-3200	37	2	effectively	effectively	ADV
cana-3200	37	3	addressed	address	VERB
cana-3200	37	4	error	error	NOUN
cana-3200	37	5	handling	handling	NOUN
cana-3200	37	6	by	by	ADP
cana-3200	37	7	adhering	adhere	VERB
cana-3200	37	8	to	to	ADP
cana-3200	37	9	the	the	DET
cana-3200	37	10	standard	standard	ADJ
cana-3200	37	11	number	number	NOUN
cana-3200	37	12	plate	plate	NOUN
cana-3200	37	13	template	template	NOUN
cana-3200	37	14	.	.	PUNCT
cana-3200	38	1	in	in	ADP
cana-3200	38	2	cases	case	NOUN
cana-3200	38	3	where	where	SCONJ
cana-3200	38	4	a	a	DET
cana-3200	38	5	number	number	NOUN
cana-3200	38	6	is	be	AUX
cana-3200	38	7	predicted	predict	VERB
cana-3200	38	8	instead	instead	ADV
cana-3200	38	9	of	of	ADP
cana-3200	38	10	a	a	DET
cana-3200	38	11	character	character	NOUN
cana-3200	38	12	,	,	PUNCT
cana-3200	38	13	the	the	DET
cana-3200	38	14	system	system	NOUN
cana-3200	38	15	intelligently	intelligently	ADV
cana-3200	38	16	predicts	predict	VERB
cana-3200	38	17	the	the	DET
cana-3200	38	18	character	character	NOUN
cana-3200	38	19	that	that	PRON
cana-3200	38	20	is	be	AUX
cana-3200	38	21	most	most	ADV
cana-3200	38	22	likely	likely	ADJ
cana-3200	38	23	to	to	PART
cana-3200	38	24	be	be	AUX
cana-3200	38	25	present	present	ADJ
cana-3200	38	26	,	,	PUNCT
cana-3200	38	27	and	and	CCONJ
cana-3200	38	28	vice	vice	ADV
cana-3200	38	29	versa	versa	ADV
cana-3200	38	30	.	.	PUNCT
cana-3200	39	1	however	however	ADV
cana-3200	39	2	,	,	PUNCT
cana-3200	39	3	a	a	DET
cana-3200	39	4	limitation	limitation	NOUN
cana-3200	39	5	of	of	ADP
cana-3200	39	6	the	the	DET
cana-3200	39	7	proposed	propose	VERB
cana-3200	39	8	system	system	NOUN
cana-3200	39	9	is	be	AUX
cana-3200	39	10	the	the	DET
cana-3200	39	11	inability	inability	NOUN
cana-3200	39	12	to	to	PART
cana-3200	39	13	handle	handle	VERB
cana-3200	39	14	skewed	skewed	ADJ
cana-3200	39	15	number	number	NOUN
cana-3200	39	16	plates	plate	NOUN
cana-3200	39	17	.	.	PUNCT
cana-3200	40	1	despite	despite	SCONJ
cana-3200	40	2	having	have	VERB
cana-3200	40	3	multiple	multiple	ADJ
cana-3200	40	4	iterations	iteration	NOUN
cana-3200	40	5	the	the	DET
cana-3200	40	6	system	system	NOUN
cana-3200	40	7	struggles	struggle	VERB
cana-3200	40	8	to	to	PART
cana-3200	40	9	get	get	VERB
cana-3200	40	10	an	an	DET
cana-3200	40	11	accurate	accurate	ADJ
cana-3200	40	12	straightened	straighten	VERB
cana-3200	40	13	image	image	NOUN
cana-3200	40	14	.	.	PUNCT
cana-3200	41	1	xiying	xiying	PROPN
cana-3200	41	2	li	li	PROPN
cana-3200	41	3	et.al	et.al	PROPN
cana-3200	42	1	[	[	X
cana-3200	42	2	3	3	NUM
cana-3200	42	3	]	]	PUNCT
cana-3200	42	4	,	,	PUNCT
cana-3200	42	5	aim	aim	VERB
cana-3200	42	6	to	to	PART
cana-3200	42	7	quickly	quickly	ADV
cana-3200	42	8	search	search	VERB
cana-3200	42	9	,	,	PUNCT
cana-3200	42	10	locate	locate	ADJ
cana-3200	42	11	and	and	CCONJ
cana-3200	42	12	track	track	VERB
cana-3200	42	13	the	the	DET
cana-3200	42	14	target	target	NOUN
cana-3200	42	15	car	car	NOUN
cana-3200	42	16	using	use	VERB
cana-3200	42	17	cctv	cctv	PROPN
cana-3200	42	18	cameras	camera	NOUN
cana-3200	42	19	.	.	PUNCT
cana-3200	43	1	licence	licence	NOUN
cana-3200	43	2	plates	plate	NOUN
cana-3200	43	3	can	can	AUX
cana-3200	43	4	not	not	PART
cana-3200	43	5	be	be	AUX
cana-3200	43	6	identified	identify	VERB
cana-3200	43	7	in	in	ADP
cana-3200	43	8	every	every	DET
cana-3200	43	9	case	case	NOUN
cana-3200	43	10	it	it	PRON
cana-3200	43	11	could	could	AUX
cana-3200	43	12	be	be	AUX
cana-3200	43	13	due	due	ADJ
cana-3200	43	14	to	to	ADP
cana-3200	43	15	occlusion	occlusion	NOUN
cana-3200	43	16	,	,	PUNCT
cana-3200	43	17	bad	bad	ADJ
cana-3200	43	18	light	light	NOUN
cana-3200	43	19	or	or	CCONJ
cana-3200	43	20	some	some	DET
cana-3200	43	21	glaze	glaze	NOUN
cana-3200	43	22	,	,	PUNCT
cana-3200	43	23	hence	hence	ADV
cana-3200	43	24	author	author	NOUN
cana-3200	43	25	plans	plan	VERB
cana-3200	43	26	to	to	PART
cana-3200	43	27	focus	focus	VERB
cana-3200	43	28	on	on	ADP
cana-3200	43	29	feature	feature	NOUN
cana-3200	43	30	extraction	extraction	NOUN
cana-3200	43	31	on	on	ADP
cana-3200	43	32	the	the	DET
cana-3200	43	33	cars	car	NOUN
cana-3200	43	34	captured	capture	VERB
cana-3200	43	35	in	in	ADP
cana-3200	43	36	the	the	DET
cana-3200	43	37	video	video	NOUN
cana-3200	43	38	.	.	PUNCT
cana-3200	44	1	to	to	PART
cana-3200	44	2	extract	extract	VERB
cana-3200	44	3	features	feature	NOUN
cana-3200	44	4	and	and	CCONJ
cana-3200	44	5	compare	compare	VERB
cana-3200	44	6	them	they	PRON
cana-3200	44	7	with	with	ADP
cana-3200	44	8	the	the	DET
cana-3200	44	9	candidate	candidate	NOUN
cana-3200	44	10	car	car	NOUN
cana-3200	44	11	,	,	PUNCT
cana-3200	44	12	they	they	PRON
cana-3200	44	13	employ	employ	VERB
cana-3200	44	14	the	the	DET
cana-3200	44	15	vgg16	vgg16	NOUN
cana-3200	44	16	model	model	NOUN
cana-3200	44	17	and	and	CCONJ
cana-3200	44	18	use	use	VERB
cana-3200	44	19	triplet	triplet	NOUN
cana-3200	44	20	loss	loss	NOUN
cana-3200	44	21	and	and	CCONJ
cana-3200	44	22	joint	joint	ADJ
cana-3200	44	23	multiple	multiple	ADJ
cana-3200	44	24	loss	loss	NOUN
cana-3200	44	25	functions	function	NOUN
cana-3200	44	26	as	as	ADP
cana-3200	44	27	loss	loss	NOUN
cana-3200	44	28	functions	function	NOUN
cana-3200	44	29	.	.	PUNCT
cana-3200	45	1	the	the	DET
cana-3200	45	2	limitation	limitation	NOUN
cana-3200	45	3	of	of	ADP
cana-3200	45	4	vgg16	vgg16	NOUN
cana-3200	45	5	compared	compare	VERB
cana-3200	45	6	to	to	ADP
cana-3200	45	7	efficientnet	efficientnet	NOUN
cana-3200	45	8	is	be	AUX
cana-3200	45	9	that	that	SCONJ
cana-3200	45	10	it	it	PRON
cana-3200	45	11	achieves	achieve	VERB
cana-3200	45	12	higher	high	ADJ
cana-3200	45	13	accuracy	accuracy	NOUN
cana-3200	45	14	with	with	ADP
cana-3200	45	15	significantly	significantly	ADV
cana-3200	45	16	fewer	few	ADJ
cana-3200	45	17	parameters	parameter	NOUN
cana-3200	45	18	,	,	PUNCT
cana-3200	45	19	enabling	enable	VERB
cana-3200	45	20	more	more	ADV
cana-3200	45	21	efficient	efficient	ADJ
cana-3200	45	22	model	model	NOUN
cana-3200	45	23	deployment	deployment	NOUN
cana-3200	45	24	on	on	ADP
cana-3200	45	25	resource	resource	NOUN
cana-3200	45	26	-	-	PUNCT
cana-3200	45	27	constrained	constrain	VERB
cana-3200	45	28	devices	device	NOUN
cana-3200	45	29	.	.	PUNCT
cana-3200	46	1	efficientnet	efficientnet	PROPN
cana-3200	46	2	has	have	VERB
cana-3200	46	3	a	a	DET
cana-3200	46	4	balanced	balanced	ADJ
cana-3200	46	5	design	design	NOUN
cana-3200	46	6	which	which	PRON
cana-3200	46	7	provides	provide	VERB
cana-3200	46	8	a	a	DET
cana-3200	46	9	superior	superior	ADJ
cana-3200	46	10	trade	trade	NOUN
cana-3200	46	11	-	-	PUNCT
cana-3200	46	12	off	off	NOUN
cana-3200	46	13	between	between	ADP
cana-3200	46	14	computational	computational	ADJ
cana-3200	46	15	efficiency	efficiency	NOUN
cana-3200	46	16	and	and	CCONJ
cana-3200	46	17	accuracy	accuracy	NOUN
cana-3200	46	18	.	.	PUNCT
cana-3200	47	1	anil	anil	PROPN
cana-3200	47	2	sharma	sharma	PROPN
cana-3200	47	3	,	,	PUNCT
cana-3200	47	4	et.al	et.al	VERB
cana-3200	47	5	[	[	X
cana-3200	47	6	4	4	NUM
cana-3200	47	7	]	]	PUNCT
cana-3200	47	8	,	,	PUNCT
cana-3200	47	9	adopted	adopt	VERB
cana-3200	47	10	state	state	NOUN
cana-3200	47	11	-	-	PUNCT
cana-3200	47	12	representation	representation	NOUN
cana-3200	47	13	learning	learning	NOUN
cana-3200	47	14	using	use	VERB
cana-3200	47	15	a	a	DET
cana-3200	47	16	reinforcement	reinforcement	NOUN
cana-3200	47	17	learning	learning	NOUN
cana-3200	47	18	-	-	PUNCT
cana-3200	47	19	based	base	VERB
cana-3200	47	20	policy	policy	NOUN
cana-3200	47	21	to	to	PART
cana-3200	47	22	automate	automate	VERB
cana-3200	47	23	the	the	DET
cana-3200	47	24	camera	camera	NOUN
cana-3200	47	25	selection	selection	NOUN
cana-3200	47	26	process	process	NOUN
cana-3200	47	27	.	.	PUNCT
cana-3200	48	1	in	in	ADP
cana-3200	48	2	comparison	comparison	NOUN
cana-3200	48	3	with	with	ADP
cana-3200	48	4	other	other	ADJ
cana-3200	48	5	methods	method	NOUN
cana-3200	48	6	,	,	PUNCT
cana-3200	48	7	their	their	PRON
cana-3200	48	8	strategy	strategy	NOUN
cana-3200	48	9	produces	produce	VERB
cana-3200	48	10	high	high	ADJ
cana-3200	48	11	-	-	PUNCT
cana-3200	48	12	quality	quality	NOUN
cana-3200	48	13	results	result	NOUN
cana-3200	48	14	as	as	SCONJ
cana-3200	48	15	it	it	PRON
cana-3200	48	16	employs	employ	VERB
cana-3200	48	17	learned	learn	VERB
cana-3200	48	18	state	state	NOUN
cana-3200	48	19	representations	representation	NOUN
cana-3200	48	20	,	,	PUNCT
cana-3200	48	21	which	which	PRON
cana-3200	48	22	helps	help	VERB
cana-3200	48	23	decrease	decrease	VERB
cana-3200	48	24	the	the	DET
cana-3200	48	25	time	time	NOUN
cana-3200	48	26	spent	spend	VERB
cana-3200	48	27	on	on	ADP
cana-3200	48	28	training	train	VERB
cana-3200	48	29	the	the	DET
cana-3200	48	30	reinforcement	reinforcement	NOUN
cana-3200	48	31	learning	learning	NOUN
cana-3200	48	32	policy	policy	NOUN
cana-3200	48	33	.	.	PUNCT
cana-3200	49	1	they	they	PRON
cana-3200	49	2	also	also	ADV
cana-3200	49	3	implemented	implement	VERB
cana-3200	49	4	a	a	DET
cana-3200	49	5	reward	reward	NOUN
cana-3200	49	6	function	function	NOUN
cana-3200	49	7	into	into	ADP
cana-3200	49	8	semi	semi	ADJ
cana-3200	49	9	-	-	ADJ
cana-3200	49	10	supervised	supervised	ADJ
cana-3200	49	11	policy	policy	NOUN
cana-3200	49	12	training	training	NOUN
cana-3200	49	13	.	.	PUNCT
cana-3200	50	1	however	however	ADV
cana-3200	50	2	,	,	PUNCT
cana-3200	50	3	they	they	PRON
cana-3200	50	4	did	do	AUX
cana-3200	50	5	not	not	PART
cana-3200	50	6	provide	provide	VERB
cana-3200	50	7	the	the	DET
cana-3200	50	8	relation	relation	NOUN
cana-3200	50	9	between	between	ADP
cana-3200	50	10	the	the	DET
cana-3200	50	11	size	size	NOUN
cana-3200	50	12	of	of	ADP
cana-3200	50	13	the	the	DET
cana-3200	50	14	network	network	NOUN
cana-3200	50	15	and	and	CCONJ
cana-3200	50	16	the	the	DET
cana-3200	50	17	time	time	NOUN
cana-3200	50	18	required	require	VERB
cana-3200	50	19	to	to	PART
cana-3200	50	20	find	find	VERB
cana-3200	50	21	the	the	DET
cana-3200	50	22	next	next	ADJ
cana-3200	50	23	camera	camera	NOUN
cana-3200	50	24	.	.	PUNCT
cana-3200	51	1	m.	m.	PROPN
cana-3200	51	2	seshaiah	seshaiah	PROPN
cana-3200	51	3	,	,	PUNCT
cana-3200	51	4	et	et	PROPN
cana-3200	51	5	al	al	PROPN
cana-3200	51	6	.	.	PUNCT
cana-3200	52	1	[	[	X
cana-3200	52	2	5	5	NUM
cana-3200	52	3	]	]	PUNCT
cana-3200	52	4	,	,	PUNCT
cana-3200	52	5	proposed	propose	VERB
cana-3200	52	6	an	an	DET
cana-3200	52	7	image	image	NOUN
cana-3200	52	8	super	super	ADJ
cana-3200	52	9	-	-	ADJ
cana-3200	52	10	resolution	resolution	ADJ
cana-3200	52	11	technique	technique	NOUN
cana-3200	52	12	to	to	PART
cana-3200	52	13	enhance	enhance	VERB
cana-3200	52	14	the	the	DET
cana-3200	52	15	quality	quality	NOUN
cana-3200	52	16	of	of	ADP
cana-3200	52	17	cctv	cctv	PROPN
cana-3200	52	18	surveillance	surveillance	NOUN
cana-3200	52	19	footage	footage	NOUN
cana-3200	52	20	.	.	PUNCT
cana-3200	53	1	the	the	DET
cana-3200	53	2	authors	author	NOUN
cana-3200	53	3	implemented	implement	VERB
cana-3200	53	4	a	a	DET
cana-3200	53	5	method	method	NOUN
cana-3200	53	6	called	call	VERB
cana-3200	53	7	super	super	ADJ
cana-3200	53	8	resolution	resolution	NOUN
cana-3200	53	9	generative	generative	ADJ
cana-3200	53	10	communications	communication	NOUN
cana-3200	53	11	on	on	ADP
cana-3200	53	12	applied	apply	VERB
cana-3200	53	13	nonlinear	nonlinear	ADJ
cana-3200	53	14	analysis	analysis	NOUN
cana-3200	53	15	issn	issn	NOUN
cana-3200	53	16	:	:	PUNCT
cana-3200	53	17	1074	1074	NUM
cana-3200	53	18	-	-	PUNCT
cana-3200	53	19	133x	133x	NUM
cana-3200	53	20	vol	vol	NOUN
cana-3200	53	21	32	32	NUM
cana-3200	53	22	no	no	NOUN
cana-3200	53	23	.	.	PUNCT
cana-3200	54	1	5s	5s	NUM
cana-3200	54	2	(	(	PUNCT
cana-3200	54	3	2025	2025	NUM
cana-3200	54	4	)	)	PUNCT
cana-3200	54	5	609	609	NUM
cana-3200	54	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3200	54	7	adversarial	adversarial	ADJ
cana-3200	54	8	network	network	NOUN
cana-3200	54	9	(	(	PUNCT
cana-3200	54	10	srgan	srgan	NOUN
cana-3200	54	11	)	)	PUNCT
cana-3200	54	12	to	to	PART
cana-3200	54	13	improve	improve	VERB
cana-3200	54	14	the	the	DET
cana-3200	54	15	resolution	resolution	NOUN
cana-3200	54	16	of	of	ADP
cana-3200	54	17	images	image	NOUN
cana-3200	54	18	obtained	obtain	VERB
cana-3200	54	19	from	from	ADP
cana-3200	54	20	cctv	cctv	PROPN
cana-3200	54	21	cameras	camera	NOUN
cana-3200	54	22	.	.	PUNCT
cana-3200	55	1	the	the	DET
cana-3200	55	2	system	system	NOUN
cana-3200	55	3	employs	employ	VERB
cana-3200	55	4	two	two	NUM
cana-3200	55	5	networks	network	NOUN
cana-3200	55	6	a	a	DET
cana-3200	55	7	generator	generator	NOUN
cana-3200	55	8	and	and	CCONJ
cana-3200	55	9	a	a	DET
cana-3200	55	10	discriminator	discriminator	NOUN
cana-3200	55	11	that	that	PRON
cana-3200	55	12	are	be	AUX
cana-3200	55	13	trained	train	VERB
cana-3200	55	14	together	together	ADV
cana-3200	55	15	using	use	VERB
cana-3200	55	16	minimax	minimax	NOUN
cana-3200	55	17	logic	logic	NOUN
cana-3200	55	18	.	.	PUNCT
cana-3200	56	1	the	the	DET
cana-3200	56	2	algorithm	algorithm	NOUN
cana-3200	56	3	utilizes	utilize	VERB
cana-3200	56	4	adam	adam	PROPN
cana-3200	56	5	stochastic	stochastic	ADJ
cana-3200	56	6	gradient	gradient	ADJ
cana-3200	56	7	descent	descent	NOUN
cana-3200	56	8	and	and	CCONJ
cana-3200	56	9	binary	binary	PROPN
cana-3200	56	10	cross	cross	NOUN
cana-3200	56	11	-	-	ADJ
cana-3200	56	12	entropy	entropy	ADJ
cana-3200	56	13	loss	loss	NOUN
cana-3200	56	14	function	function	NOUN
cana-3200	56	15	for	for	ADP
cana-3200	56	16	error	error	NOUN
cana-3200	56	17	calculation	calculation	NOUN
cana-3200	56	18	and	and	CCONJ
cana-3200	56	19	backpropagation	backpropagation	NOUN
cana-3200	56	20	during	during	ADP
cana-3200	56	21	the	the	DET
cana-3200	56	22	training	training	NOUN
cana-3200	56	23	process	process	NOUN
cana-3200	56	24	.	.	PUNCT
cana-3200	57	1	while	while	SCONJ
cana-3200	57	2	achieving	achieve	VERB
cana-3200	57	3	an	an	DET
cana-3200	57	4	accuracy	accuracy	NOUN
cana-3200	57	5	of	of	ADP
cana-3200	57	6	77.235	77.235	NUM
cana-3200	57	7	%	%	NOUN
cana-3200	57	8	,	,	PUNCT
cana-3200	57	9	the	the	DET
cana-3200	57	10	model	model	NOUN
cana-3200	57	11	's	's	PART
cana-3200	57	12	limitation	limitation	NOUN
cana-3200	57	13	lies	lie	VERB
cana-3200	57	14	in	in	ADP
cana-3200	57	15	its	its	PRON
cana-3200	57	16	inability	inability	NOUN
cana-3200	57	17	to	to	PART
cana-3200	57	18	effectively	effectively	ADV
cana-3200	57	19	enhance	enhance	VERB
cana-3200	57	20	the	the	DET
cana-3200	57	21	textual	textual	ADJ
cana-3200	57	22	portions	portion	NOUN
cana-3200	57	23	of	of	ADP
cana-3200	57	24	the	the	DET
cana-3200	57	25	images	image	NOUN
cana-3200	57	26	.	.	PUNCT
cana-3200	58	1	youngmin	youngmin	NOUN
cana-3200	58	2	baek	baek	NOUN
cana-3200	58	3	,	,	PUNCT
cana-3200	58	4	et.al	et.al	PROPN
cana-3200	58	5	.	.	PUNCT
cana-3200	59	1	[	[	X
cana-3200	59	2	6	6	NUM
cana-3200	59	3	]	]	PUNCT
cana-3200	59	4	,	,	PUNCT
cana-3200	59	5	the	the	DET
cana-3200	59	6	research	research	NOUN
cana-3200	59	7	primarily	primarily	ADV
cana-3200	59	8	aims	aim	VERB
cana-3200	59	9	to	to	PART
cana-3200	59	10	identify	identify	VERB
cana-3200	59	11	and	and	CCONJ
cana-3200	59	12	extract	extract	VERB
cana-3200	59	13	text	text	NOUN
cana-3200	59	14	from	from	ADP
cana-3200	59	15	images	image	NOUN
cana-3200	59	16	,	,	PUNCT
cana-3200	59	17	regardless	regardless	ADV
cana-3200	59	18	of	of	ADP
cana-3200	59	19	the	the	DET
cana-3200	59	20	image	image	NOUN
cana-3200	59	21	's	's	PART
cana-3200	59	22	orientation	orientation	NOUN
cana-3200	59	23	,	,	PUNCT
cana-3200	59	24	which	which	PRON
cana-3200	59	25	can	can	AUX
cana-3200	59	26	range	range	VERB
cana-3200	59	27	from	from	ADP
cana-3200	59	28	curved	curve	VERB
cana-3200	59	29	,	,	PUNCT
cana-3200	59	30	skewed	skewed	ADJ
cana-3200	59	31	,	,	PUNCT
cana-3200	59	32	or	or	CCONJ
cana-3200	59	33	disorganized	disorganized	ADJ
cana-3200	59	34	.	.	PUNCT
cana-3200	60	1	the	the	DET
cana-3200	60	2	model	model	NOUN
cana-3200	60	3	is	be	AUX
cana-3200	60	4	trained	train	VERB
cana-3200	60	5	on	on	ADP
cana-3200	60	6	the	the	DET
cana-3200	60	7	icdar	icdar	NOUN
cana-3200	60	8	dataset	dataset	NOUN
cana-3200	60	9	.	.	PUNCT
cana-3200	61	1	for	for	ADP
cana-3200	61	2	each	each	DET
cana-3200	61	3	text	text	NOUN
cana-3200	61	4	image	image	NOUN
cana-3200	61	5	the	the	DET
cana-3200	61	6	author	author	NOUN
cana-3200	61	7	uses	use	VERB
cana-3200	61	8	region	region	NOUN
cana-3200	61	9	bounding	bounding	NOUN
cana-3200	61	10	boxes	box	NOUN
cana-3200	61	11	on	on	ADP
cana-3200	61	12	each	each	DET
cana-3200	61	13	text	text	NOUN
cana-3200	61	14	individually	individually	ADV
cana-3200	61	15	comparing	compare	VERB
cana-3200	61	16	its	its	PRON
cana-3200	61	17	affinity	affinity	NOUN
cana-3200	61	18	score	score	NOUN
cana-3200	61	19	with	with	ADP
cana-3200	61	20	the	the	DET
cana-3200	61	21	centre	centre	NOUN
cana-3200	61	22	of	of	ADP
cana-3200	61	23	the	the	DET
cana-3200	61	24	character	character	NOUN
cana-3200	61	25	.	.	PUNCT
cana-3200	62	1	it	it	PRON
cana-3200	62	2	uses	use	VERB
cana-3200	62	3	a	a	DET
cana-3200	62	4	weekly	weekly	ADJ
cana-3200	62	5	supervised	supervise	VERB
cana-3200	62	6	method	method	NOUN
cana-3200	62	7	that	that	PRON
cana-3200	62	8	generates	generate	VERB
cana-3200	62	9	pseudo	pseudo	NOUN
cana-3200	62	10	-	-	ADJ
cana-3200	62	11	ground	ground	NOUN
cana-3200	62	12	truths	truth	NOUN
cana-3200	62	13	from	from	ADP
cana-3200	62	14	an	an	DET
cana-3200	62	15	interim	interim	ADJ
cana-3200	62	16	model	model	NOUN
cana-3200	62	17	.	.	PUNCT
cana-3200	63	1	training	train	VERB
cana-3200	63	2	character	character	NOUN
cana-3200	63	3	-	-	PUNCT
cana-3200	63	4	level	level	NOUN
cana-3200	63	5	models	model	NOUN
cana-3200	63	6	may	may	AUX
cana-3200	63	7	involve	involve	VERB
cana-3200	63	8	vague	vague	ADJ
cana-3200	63	9	or	or	CCONJ
cana-3200	63	10	noisy	noisy	ADJ
cana-3200	63	11	guidance	guidance	NOUN
cana-3200	63	12	,	,	PUNCT
cana-3200	63	13	relying	rely	VERB
cana-3200	63	14	on	on	ADP
cana-3200	63	15	indirect	indirect	ADJ
cana-3200	63	16	clues	clue	NOUN
cana-3200	63	17	for	for	ADP
cana-3200	63	18	tasks	task	NOUN
cana-3200	63	19	like	like	ADP
cana-3200	63	20	text	text	NOUN
cana-3200	63	21	generation	generation	NOUN
cana-3200	63	22	or	or	CCONJ
cana-3200	63	23	recognition	recognition	NOUN
cana-3200	63	24	.	.	PUNCT
cana-3200	64	1	qi	qi	PROPN
cana-3200	64	2	-	-	PUNCT
cana-3200	64	3	chao	chao	PROPN
cana-3200	64	4	mao	mao	PROPN
cana-3200	64	5	et.al	et.al	PROPN
cana-3200	64	6	.	.	PUNCT
cana-3200	65	1	[	[	X
cana-3200	65	2	7	7	NUM
cana-3200	65	3	]	]	PUNCT
cana-3200	65	4	,	,	PUNCT
cana-3200	65	5	proposed	propose	VERB
cana-3200	65	6	an	an	DET
cana-3200	65	7	improved	improved	ADJ
cana-3200	65	8	vehicle	vehicle	NOUN
cana-3200	65	9	object	object	NOUN
cana-3200	65	10	detection	detection	NOUN
cana-3200	65	11	method	method	NOUN
cana-3200	65	12	based	base	VERB
cana-3200	65	13	on	on	ADP
cana-3200	65	14	yolov3	yolov3	PROPN
cana-3200	65	15	to	to	PART
cana-3200	65	16	address	address	VERB
cana-3200	65	17	the	the	DET
cana-3200	65	18	challenges	challenge	NOUN
cana-3200	65	19	of	of	ADP
cana-3200	65	20	multi	multi	ADJ
cana-3200	65	21	-	-	ADJ
cana-3200	65	22	scale	scale	ADJ
cana-3200	65	23	vehicle	vehicle	NOUN
cana-3200	65	24	detection	detection	NOUN
cana-3200	65	25	and	and	CCONJ
cana-3200	65	26	overlapping	overlap	VERB
cana-3200	65	27	object	object	NOUN
cana-3200	65	28	detection	detection	NOUN
cana-3200	65	29	in	in	ADP
cana-3200	65	30	traffic	traffic	NOUN
cana-3200	65	31	surveillance	surveillance	NOUN
cana-3200	65	32	videos	video	NOUN
cana-3200	65	33	.	.	PUNCT
cana-3200	66	1	the	the	DET
cana-3200	66	2	authors	author	NOUN
cana-3200	66	3	enhanced	enhance	VERB
cana-3200	66	4	the	the	DET
cana-3200	66	5	yolov3	yolov3	NOUN
cana-3200	66	6	architecture	architecture	NOUN
cana-3200	66	7	by	by	ADP
cana-3200	66	8	implementing	implement	VERB
cana-3200	66	9	three	three	NUM
cana-3200	66	10	key	key	ADJ
cana-3200	66	11	modifications	modification	NOUN
cana-3200	66	12	,	,	PUNCT
cana-3200	66	13	particularly	particularly	ADV
cana-3200	66	14	excelling	excel	VERB
cana-3200	66	15	in	in	ADP
cana-3200	66	16	detecting	detect	VERB
cana-3200	66	17	small	small	ADJ
cana-3200	66	18	and	and	CCONJ
cana-3200	66	19	overlapping	overlap	VERB
cana-3200	66	20	vehicles	vehicle	NOUN
cana-3200	66	21	.	.	PUNCT
cana-3200	67	1	by	by	ADP
cana-3200	67	2	incorporating	incorporate	VERB
cana-3200	67	3	inverted	inverted	ADJ
cana-3200	67	4	residuals	residual	NOUN
cana-3200	67	5	,	,	PUNCT
cana-3200	67	6	spp	spp	NOUN
cana-3200	67	7	modules	module	NOUN
cana-3200	67	8	,	,	PUNCT
cana-3200	67	9	and	and	CCONJ
cana-3200	67	10	soft	soft	ADJ
cana-3200	67	11	-	-	PUNCT
cana-3200	67	12	nms	nms	NOUN
cana-3200	67	13	,	,	PUNCT
cana-3200	67	14	the	the	DET
cana-3200	67	15	system	system	NOUN
cana-3200	67	16	achieves	achieve	VERB
cana-3200	67	17	higher	high	ADJ
cana-3200	67	18	detection	detection	NOUN
cana-3200	67	19	accuracy	accuracy	NOUN
cana-3200	67	20	and	and	CCONJ
cana-3200	67	21	lower	low	ADJ
cana-3200	67	22	missed	miss	VERB
cana-3200	67	23	rates	rate	NOUN
cana-3200	67	24	across	across	ADP
cana-3200	67	25	various	various	ADJ
cana-3200	67	26	scales	scale	NOUN
cana-3200	67	27	,	,	PUNCT
cana-3200	67	28	making	make	VERB
cana-3200	67	29	it	it	PRON
cana-3200	67	30	well	well	ADV
cana-3200	67	31	-	-	PUNCT
cana-3200	67	32	suited	suit	VERB
cana-3200	67	33	for	for	ADP
cana-3200	67	34	practical	practical	ADJ
cana-3200	67	35	applications	application	NOUN
cana-3200	67	36	in	in	ADP
cana-3200	67	37	diverse	diverse	ADJ
cana-3200	67	38	traffic	traffic	NOUN
cana-3200	67	39	scenarios	scenario	NOUN
cana-3200	67	40	.	.	PUNCT
cana-3200	68	1	kirill	kirill	PROPN
cana-3200	68	2	smelyakov	smelyakov	PROPN
cana-3200	68	3	et.al	et.al	PROPN
cana-3200	68	4	.	.	PUNCT
cana-3200	69	1	[	[	X
cana-3200	69	2	8	8	NUM
cana-3200	69	3	]	]	PUNCT
cana-3200	69	4	,	,	PUNCT
cana-3200	69	5	in	in	ADP
cana-3200	69	6	this	this	DET
cana-3200	69	7	author	author	NOUN
cana-3200	69	8	has	have	AUX
cana-3200	69	9	done	do	VERB
cana-3200	69	10	comparative	comparative	ADJ
cana-3200	69	11	study	study	NOUN
cana-3200	69	12	between	between	ADP
cana-3200	69	13	two	two	NUM
cana-3200	69	14	most	most	ADV
cana-3200	69	15	used	use	VERB
cana-3200	69	16	ocr	ocr	ADJ
cana-3200	69	17	models	model	NOUN
cana-3200	69	18	,	,	PUNCT
cana-3200	69	19	tesser	tess	ADJ
cana-3200	69	20	ocr	ocr	ADJ
cana-3200	69	21	and	and	CCONJ
cana-3200	69	22	easy	easy	ADJ
cana-3200	69	23	ocr	ocr	NOUN
cana-3200	69	24	on	on	ADP
cana-3200	69	25	various	various	ADJ
cana-3200	69	26	forms	form	NOUN
cana-3200	69	27	of	of	ADP
cana-3200	69	28	texts	text	NOUN
cana-3200	69	29	such	such	ADJ
cana-3200	69	30	as	as	ADP
cana-3200	69	31	electronic	electronic	ADJ
cana-3200	69	32	text	text	NOUN
cana-3200	69	33	document	document	NOUN
cana-3200	69	34	,	,	PUNCT
cana-3200	69	35	internet	internet	NOUN
cana-3200	69	36	resource	resource	NOUN
cana-3200	69	37	,	,	PUNCT
cana-3200	69	38	and	and	CCONJ
cana-3200	69	39	banner	banner	NOUN
cana-3200	69	40	.	.	PUNCT
cana-3200	70	1	their	their	PRON
cana-3200	70	2	experimental	experimental	ADJ
cana-3200	70	3	analysis	analysis	NOUN
cana-3200	70	4	focused	focus	VERB
cana-3200	70	5	on	on	ADP
cana-3200	70	6	both	both	CCONJ
cana-3200	70	7	the	the	DET
cana-3200	70	8	accuracy	accuracy	NOUN
cana-3200	70	9	and	and	CCONJ
cana-3200	70	10	processing	processing	NOUN
cana-3200	70	11	time	time	NOUN
cana-3200	70	12	of	of	ADP
cana-3200	70	13	each	each	DET
cana-3200	70	14	ocr	ocr	ADJ
cana-3200	70	15	tool	tool	NOUN
cana-3200	70	16	.	.	PUNCT
cana-3200	71	1	based	base	VERB
cana-3200	71	2	on	on	ADP
cana-3200	71	3	their	their	PRON
cana-3200	71	4	findings	finding	NOUN
cana-3200	71	5	,	,	PUNCT
cana-3200	71	6	the	the	DET
cana-3200	71	7	researchers	researcher	NOUN
cana-3200	71	8	proposed	propose	VERB
cana-3200	71	9	an	an	DET
cana-3200	71	10	effective	effective	ADJ
cana-3200	71	11	algorithm	algorithm	NOUN
cana-3200	71	12	for	for	ADP
cana-3200	71	13	ocr	ocr	ADJ
cana-3200	71	14	usage	usage	NOUN
cana-3200	71	15	and	and	CCONJ
cana-3200	71	16	provided	provide	VERB
cana-3200	71	17	specific	specific	ADJ
cana-3200	71	18	recommendations	recommendation	NOUN
cana-3200	71	19	for	for	ADP
cana-3200	71	20	applying	apply	VERB
cana-3200	71	21	these	these	DET
cana-3200	71	22	tools	tool	NOUN
cana-3200	71	23	to	to	ADP
cana-3200	71	24	different	different	ADJ
cana-3200	71	25	types	type	NOUN
cana-3200	71	26	of	of	ADP
cana-3200	71	27	data	datum	NOUN
cana-3200	71	28	,	,	PUNCT
cana-3200	71	29	categorized	categorize	VERB
cana-3200	71	30	as	as	ADP
cana-3200	71	31	non	non	ADJ
cana-3200	71	32	-	-	ADJ
cana-3200	71	33	distorted	distorted	ADJ
cana-3200	71	34	,	,	PUNCT
cana-3200	71	35	slightly	slightly	ADV
cana-3200	71	36	distorted	distort	VERB
cana-3200	71	37	,	,	PUNCT
cana-3200	71	38	and	and	CCONJ
cana-3200	71	39	highly	highly	ADV
cana-3200	71	40	distorted	distort	VERB
cana-3200	71	41	.	.	PUNCT
cana-3200	72	1	the	the	DET
cana-3200	72	2	results	result	NOUN
cana-3200	72	3	had	have	AUX
cana-3200	72	4	concluded	conclude	VERB
cana-3200	72	5	tesser	tesser	ADJ
cana-3200	72	6	ocr	ocr	PROPN
cana-3200	72	7	to	to	PART
cana-3200	72	8	perform	perform	VERB
cana-3200	72	9	better	well	ADV
cana-3200	72	10	and	and	CCONJ
cana-3200	72	11	faster	fast	ADV
cana-3200	72	12	over	over	ADP
cana-3200	72	13	easy	easy	ADJ
cana-3200	72	14	ocr	ocr	NOUN
cana-3200	72	15	in	in	ADP
cana-3200	72	16	regular	regular	ADJ
cana-3200	72	17	book	book	NOUN
cana-3200	72	18	texts	text	NOUN
cana-3200	72	19	,	,	PUNCT
cana-3200	72	20	but	but	CCONJ
cana-3200	72	21	if	if	SCONJ
cana-3200	72	22	natural	natural	ADJ
cana-3200	72	23	scenes	scene	NOUN
cana-3200	72	24	were	be	AUX
cana-3200	72	25	taken	take	VERB
cana-3200	72	26	the	the	DET
cana-3200	72	27	easyocr	easyocr	NOUN
cana-3200	72	28	had	have	VERB
cana-3200	72	29	better	well	ADJ
cana-3200	72	30	results	result	NOUN
cana-3200	72	31	.	.	PUNCT
cana-3200	73	1	delong	delong	PROPN
cana-3200	73	2	cai	cai	PROPN
cana-3200	73	3	(	(	PUNCT
cana-3200	73	4	2023)[9	2023)[9	PROPN
cana-3200	73	5	]	]	PUNCT
cana-3200	73	6	,	,	PUNCT
cana-3200	73	7	introduced	introduce	VERB
cana-3200	73	8	the	the	DET
cana-3200	73	9	corner	corner	NOUN
cana-3200	73	10	point	point	NOUN
cana-3200	73	11	foreground	foreground	NOUN
cana-3200	73	12	area	area	NOUN
cana-3200	73	13	intersection	intersection	NOUN
cana-3200	73	14	over	over	ADP
cana-3200	73	15	union	union	NOUN
cana-3200	73	16	loss	loss	NOUN
cana-3200	73	17	function	function	NOUN
cana-3200	73	18	as	as	ADP
cana-3200	73	19	a	a	DET
cana-3200	73	20	new	new	ADJ
cana-3200	73	21	means	mean	NOUN
cana-3200	73	22	of	of	ADP
cana-3200	73	23	enhancing	enhance	VERB
cana-3200	73	24	bounding	bounding	NOUN
cana-3200	73	25	box	box	NOUN
cana-3200	73	26	regression	regression	NOUN
cana-3200	73	27	,	,	PUNCT
cana-3200	73	28	especially	especially	ADV
cana-3200	73	29	for	for	ADP
cana-3200	73	30	better	well	ADJ
cana-3200	73	31	localization	localization	NOUN
cana-3200	73	32	of	of	ADP
cana-3200	73	33	small	small	ADJ
cana-3200	73	34	objects	object	NOUN
cana-3200	73	35	.	.	PUNCT
cana-3200	74	1	this	this	DET
cana-3200	74	2	new	new	ADJ
cana-3200	74	3	loss	loss	NOUN
cana-3200	74	4	function	function	NOUN
cana-3200	74	5	overcomes	overcome	VERB
cana-3200	74	6	problems	problem	NOUN
cana-3200	74	7	associated	associate	VERB
cana-3200	74	8	with	with	ADP
cana-3200	74	9	the	the	DET
cana-3200	74	10	overlap	overlap	NOUN
cana-3200	74	11	of	of	ADP
cana-3200	74	12	boxes	box	NOUN
cana-3200	74	13	because	because	SCONJ
cana-3200	74	14	it	it	PRON
cana-3200	74	15	includes	include	VERB
cana-3200	74	16	multiple	multiple	ADJ
cana-3200	74	17	objects	object	NOUN
cana-3200	74	18	,	,	PUNCT
cana-3200	74	19	which	which	PRON
cana-3200	74	20	either	either	CCONJ
cana-3200	74	21	partially	partially	ADV
cana-3200	74	22	or	or	CCONJ
cana-3200	74	23	completely	completely	ADV
cana-3200	74	24	have	have	VERB
cana-3200	74	25	an	an	DET
cana-3200	74	26	overlapping	overlap	VERB
cana-3200	74	27	rate	rate	NOUN
cana-3200	74	28	higher	high	ADJ
cana-3200	74	29	than	than	ADP
cana-3200	74	30	70	70	NUM
cana-3200	74	31	%	%	NOUN
cana-3200	74	32	,	,	PUNCT
cana-3200	74	33	and	and	CCONJ
cana-3200	74	34	therefore	therefore	ADV
cana-3200	74	35	distinguishing	distinguish	VERB
cana-3200	74	36	between	between	ADP
cana-3200	74	37	these	these	DET
cana-3200	74	38	two	two	NUM
cana-3200	74	39	becomes	become	VERB
cana-3200	74	40	problematic	problematic	ADJ
cana-3200	74	41	.	.	PUNCT
cana-3200	75	1	this	this	DET
cana-3200	75	2	method	method	NOUN
cana-3200	75	3	was	be	AUX
cana-3200	75	4	tested	test	VERB
cana-3200	75	5	on	on	ADP
cana-3200	75	6	datasets	dataset	NOUN
cana-3200	75	7	including	include	VERB
cana-3200	75	8	vizdrone	vizdrone	NOUN
cana-3200	75	9	-	-	PUNCT
cana-3200	75	10	det2019	det2019	PROPN
cana-3200	75	11	and	and	CCONJ
cana-3200	75	12	soda	soda	NOUN
cana-3200	75	13	-	-	PUNCT
cana-3200	75	14	d	d	NOUN
cana-3200	75	15	using	use	VERB
cana-3200	75	16	both	both	DET
cana-3200	75	17	anchor	anchor	NOUN
cana-3200	75	18	yolov5	yolov5	NOUN
cana-3200	75	19	as	as	ADV
cana-3200	75	20	well	well	ADV
cana-3200	75	21	as	as	ADP
cana-3200	75	22	the	the	DET
cana-3200	75	23	non	non	ADJ
cana-3200	75	24	-	-	NOUN
cana-3200	75	25	anchor	anchor	ADJ
cana-3200	75	26	youlo8	youlo8	PROPN
cana-3200	75	27	.	.	PUNCT
cana-3200	76	1	as	as	ADP
cana-3200	76	2	such	such	ADJ
cana-3200	76	3	,	,	PUNCT
cana-3200	76	4	the	the	DET
cana-3200	76	5	cfiou	cfiou	NOUN
cana-3200	76	6	loss	loss	NOUN
cana-3200	76	7	function	function	NOUN
cana-3200	76	8	can	can	AUX
cana-3200	76	9	be	be	AUX
cana-3200	76	10	considered	consider	VERB
cana-3200	76	11	a	a	DET
cana-3200	76	12	major	major	ADJ
cana-3200	76	13	development	development	NOUN
cana-3200	76	14	in	in	ADP
cana-3200	76	15	improving	improve	VERB
cana-3200	76	16	the	the	DET
cana-3200	76	17	bounding	bounding	NOUN
cana-3200	76	18	box	box	NOUN
cana-3200	76	19	regression	regression	NOUN
cana-3200	76	20	accuracy	accuracy	NOUN
cana-3200	76	21	principle	principle	NOUN
cana-3200	76	22	,	,	PUNCT
cana-3200	76	23	particularly	particularly	ADV
cana-3200	76	24	for	for	ADP
cana-3200	76	25	situations	situation	NOUN
cana-3200	76	26	with	with	ADP
cana-3200	76	27	small	small	ADJ
cana-3200	76	28	-	-	PUNCT
cana-3200	76	29	scale	scale	NOUN
cana-3200	76	30	object	object	NOUN
cana-3200	76	31	localisation	localisation	NOUN
cana-3200	76	32	and	and	CCONJ
cana-3200	76	33	high	high	ADJ
cana-3200	76	34	overlap	overlap	NOUN
cana-3200	76	35	.	.	PUNCT
cana-3200	77	1	shailendra	shailendra	PROPN
cana-3200	77	2	shende	shende	PROPN
cana-3200	77	3	et	et	PROPN
cana-3200	77	4	al	al	PROPN
cana-3200	77	5	.	.	PUNCT
cana-3200	78	1	(	(	PUNCT
cana-3200	78	2	2023)[10	2023)[10	NUM
cana-3200	78	3	]	]	PUNCT
cana-3200	78	4	,	,	PUNCT
cana-3200	78	5	proposed	propose	VERB
cana-3200	78	6	a	a	DET
cana-3200	78	7	cnn	cnn	PROPN
cana-3200	78	8	-	-	PUNCT
cana-3200	78	9	based	base	VERB
cana-3200	78	10	approach	approach	NOUN
cana-3200	78	11	towards	towards	ADP
cana-3200	78	12	missing	miss	VERB
cana-3200	78	13	object	object	NOUN
cana-3200	78	14	detection	detection	NOUN
cana-3200	78	15	.	.	PUNCT
cana-3200	79	1	this	this	DET
cana-3200	79	2	approach	approach	NOUN
cana-3200	79	3	uses	use	VERB
cana-3200	79	4	cnns	cnn	NOUN
cana-3200	79	5	that	that	SCONJ
cana-3200	79	6	detect	detect	VERB
cana-3200	79	7	missing	miss	VERB
cana-3200	79	8	objects	object	NOUN
cana-3200	79	9	embedded	embed	VERB
cana-3200	79	10	within	within	ADP
cana-3200	79	11	images	image	NOUN
cana-3200	79	12	.	.	PUNCT
cana-3200	80	1	during	during	ADP
cana-3200	80	2	image	image	NOUN
cana-3200	80	3	classification	classification	NOUN
cana-3200	80	4	,	,	PUNCT
cana-3200	80	5	the	the	DET
cana-3200	80	6	model	model	NOUN
cana-3200	80	7	was	be	AUX
cana-3200	80	8	trained	train	VERB
cana-3200	80	9	using	use	VERB
cana-3200	80	10	a	a	DET
cana-3200	80	11	dataset	dataset	NOUN
cana-3200	80	12	of	of	ADP
cana-3200	80	13	500	500	NUM
cana-3200	80	14	images	image	NOUN
cana-3200	80	15	.	.	PUNCT
cana-3200	81	1	even	even	ADV
cana-3200	81	2	with	with	SCONJ
cana-3200	81	3	the	the	DET
cana-3200	81	4	insufficient	insufficient	ADJ
cana-3200	81	5	communications	communication	NOUN
cana-3200	81	6	on	on	ADP
cana-3200	81	7	applied	apply	VERB
cana-3200	81	8	nonlinear	nonlinear	ADJ
cana-3200	81	9	analysis	analysis	NOUN
cana-3200	81	10	issn	issn	NOUN
cana-3200	81	11	:	:	PUNCT
cana-3200	81	12	1074	1074	NUM
cana-3200	81	13	-	-	PUNCT
cana-3200	81	14	133x	133x	NUM
cana-3200	81	15	vol	vol	NOUN
cana-3200	81	16	32	32	NUM
cana-3200	81	17	no	no	NOUN
cana-3200	81	18	.	.	PUNCT
cana-3200	82	1	5s	5s	NUM
cana-3200	82	2	(	(	PUNCT
cana-3200	82	3	2025	2025	NUM
cana-3200	82	4	)	)	PUNCT
cana-3200	82	5	610	610	NUM
cana-3200	83	1	https://internationalpubls.com	https://internationalpubls.com	X
cana-3200	83	2	training	training	NOUN
cana-3200	83	3	dataset	dataset	NOUN
cana-3200	83	4	,	,	PUNCT
cana-3200	83	5	the	the	DET
cana-3200	83	6	approach	approach	NOUN
cana-3200	83	7	produced	produce	VERB
cana-3200	83	8	good	good	ADJ
cana-3200	83	9	results	result	NOUN
cana-3200	83	10	.	.	PUNCT
cana-3200	84	1	nevertheless	nevertheless	ADV
cana-3200	84	2	,	,	PUNCT
cana-3200	84	3	additional	additional	ADJ
cana-3200	84	4	advanced	advanced	ADJ
cana-3200	84	5	training	training	NOUN
cana-3200	84	6	on	on	ADP
cana-3200	84	7	more	more	ADV
cana-3200	84	8	intricate	intricate	ADJ
cana-3200	84	9	images	image	NOUN
cana-3200	84	10	is	be	AUX
cana-3200	84	11	required	require	VERB
cana-3200	84	12	to	to	PART
cana-3200	84	13	better	better	VERB
cana-3200	84	14	the	the	DET
cana-3200	84	15	model	model	NOUN
cana-3200	84	16	’s	’s	PART
cana-3200	84	17	capacity	capacity	NOUN
cana-3200	84	18	and	and	CCONJ
cana-3200	84	19	consistency	consistency	NOUN
cana-3200	84	20	in	in	ADP
cana-3200	84	21	detecting	detect	VERB
cana-3200	84	22	missing	miss	VERB
cana-3200	84	23	objects	object	NOUN
cana-3200	84	24	under	under	ADP
cana-3200	84	25	an	an	DET
cana-3200	84	26	array	array	NOUN
cana-3200	84	27	of	of	ADP
cana-3200	84	28	cases	case	NOUN
cana-3200	84	29	.	.	PUNCT
cana-3200	85	1	the	the	DET
cana-3200	85	2	authors	author	NOUN
cana-3200	85	3	,	,	PUNCT
cana-3200	85	4	2024	2024	NUM
cana-3200	85	5	[	[	X
cana-3200	85	6	11,12,13,14	11,12,13,14	ADV
cana-3200	85	7	]	]	PUNCT
cana-3200	85	8	explores	explore	VERB
cana-3200	85	9	the	the	DET
cana-3200	85	10	potential	potential	NOUN
cana-3200	85	11	of	of	ADP
cana-3200	85	12	improving	improve	VERB
cana-3200	85	13	the	the	DET
cana-3200	85	14	identification	identification	NOUN
cana-3200	85	15	of	of	ADP
cana-3200	85	16	missing	miss	VERB
cana-3200	85	17	objects	object	NOUN
cana-3200	85	18	or	or	CCONJ
cana-3200	85	19	persons	person	NOUN
cana-3200	85	20	using	use	VERB
cana-3200	85	21	deep	deep	ADJ
cana-3200	85	22	learning	learning	NOUN
cana-3200	85	23	model	model	NOUN
cana-3200	85	24	and	and	CCONJ
cana-3200	85	25	data	datum	NOUN
cana-3200	85	26	augmentation	augmentation	NOUN
cana-3200	85	27	.	.	PUNCT
cana-3200	86	1	the	the	DET
cana-3200	86	2	paper	paper	NOUN
cana-3200	86	3	performed	perform	VERB
cana-3200	86	4	a	a	DET
cana-3200	86	5	detailed	detailed	ADJ
cana-3200	86	6	survey	survey	NOUN
cana-3200	86	7	on	on	ADP
cana-3200	86	8	the	the	DET
cana-3200	86	9	existing	exist	VERB
cana-3200	86	10	systems	system	NOUN
cana-3200	86	11	with	with	ADP
cana-3200	86	12	its	its	PRON
cana-3200	86	13	limitations	limitation	NOUN
cana-3200	86	14	and	and	CCONJ
cana-3200	86	15	discussed	discuss	VERB
cana-3200	86	16	the	the	DET
cana-3200	86	17	techniques	technique	NOUN
cana-3200	86	18	to	to	PART
cana-3200	86	19	improve	improve	VERB
cana-3200	86	20	the	the	DET
cana-3200	86	21	performance	performance	NOUN
cana-3200	86	22	using	use	VERB
cana-3200	86	23	computer	computer	NOUN
cana-3200	86	24	vision	vision	NOUN
cana-3200	86	25	and	and	CCONJ
cana-3200	86	26	deep	deep	ADJ
cana-3200	86	27	learning	learning	NOUN
cana-3200	86	28	algorithms	algorithm	NOUN
cana-3200	86	29	.	.	PUNCT
cana-3200	87	1	tabatabaei	tabatabaei	PROPN
cana-3200	87	2	et	et	PROPN
cana-3200	87	3	al	al	PROPN
cana-3200	87	4	.	.	PROPN
cana-3200	88	1	(	(	PUNCT
cana-3200	88	2	2024	2024	NUM
cana-3200	88	3	)	)	PUNCT
cana-3200	89	1	[	[	X
cana-3200	89	2	15	15	NUM
cana-3200	89	3	]	]	PUNCT
cana-3200	89	4	proposed	propose	VERB
cana-3200	89	5	a	a	DET
cana-3200	89	6	neural	neural	ADJ
cana-3200	89	7	network	network	NOUN
cana-3200	89	8	model	model	NOUN
cana-3200	89	9	such	such	ADJ
cana-3200	89	10	as	as	ADP
cana-3200	89	11	google	google	PROPN
cana-3200	89	12	facenet	facenet	NOUN
cana-3200	89	13	,	,	PUNCT
cana-3200	89	14	ghost	ghost	NOUN
cana-3200	89	15	facenet	facenet	NOUN
cana-3200	89	16	and	and	CCONJ
cana-3200	89	17	quantization	quantization	NOUN
cana-3200	89	18	methods	method	NOUN
cana-3200	89	19	to	to	PART
cana-3200	89	20	reduce	reduce	VERB
cana-3200	89	21	heavy	heavy	ADJ
cana-3200	89	22	processing	processing	NOUN
cana-3200	89	23	requirements	requirement	NOUN
cana-3200	89	24	for	for	ADP
cana-3200	89	25	real	real	ADJ
cana-3200	89	26	-	-	PUNCT
cana-3200	89	27	time	time	NOUN
cana-3200	89	28	facial	facial	ADJ
cana-3200	89	29	recognition	recognition	NOUN
cana-3200	89	30	.	.	PUNCT
cana-3200	90	1	in	in	ADP
cana-3200	90	2	the	the	DET
cana-3200	90	3	proposed	propose	VERB
cana-3200	90	4	solution	solution	NOUN
cana-3200	90	5	,	,	PUNCT
cana-3200	90	6	licence	licence	NOUN
cana-3200	90	7	plate	plate	NOUN
cana-3200	90	8	images	image	NOUN
cana-3200	90	9	are	be	AUX
cana-3200	90	10	accurately	accurately	ADV
cana-3200	90	11	aligned	align	VERB
cana-3200	90	12	by	by	ADP
cana-3200	90	13	identifying	identify	VERB
cana-3200	90	14	vertical	vertical	ADJ
cana-3200	90	15	lines	line	NOUN
cana-3200	90	16	within	within	ADP
cana-3200	90	17	the	the	DET
cana-3200	90	18	image	image	NOUN
cana-3200	90	19	using	use	VERB
cana-3200	90	20	the	the	DET
cana-3200	90	21	hough	hough	PROPN
cana-3200	90	22	transform	transform	VERB
cana-3200	90	23	technique	technique	NOUN
cana-3200	90	24	in	in	ADP
cana-3200	90	25	conjunction	conjunction	NOUN
cana-3200	90	26	with	with	ADP
cana-3200	90	27	canny	canny	ADJ
cana-3200	90	28	edge	edge	NOUN
cana-3200	90	29	detection	detection	NOUN
cana-3200	90	30	and	and	CCONJ
cana-3200	90	31	image	image	NOUN
cana-3200	90	32	binarization	binarization	NOUN
cana-3200	90	33	.	.	PUNCT
cana-3200	91	1	this	this	DET
cana-3200	91	2	process	process	NOUN
cana-3200	91	3	ensures	ensure	VERB
cana-3200	91	4	optimal	optimal	ADJ
cana-3200	91	5	alignment	alignment	NOUN
cana-3200	91	6	,	,	PUNCT
cana-3200	91	7	thereby	thereby	ADV
cana-3200	91	8	enhancing	enhance	VERB
cana-3200	91	9	the	the	DET
cana-3200	91	10	output	output	NOUN
cana-3200	91	11	of	of	ADP
cana-3200	91	12	optical	optical	ADJ
cana-3200	91	13	character	character	NOUN
cana-3200	91	14	recognition	recognition	NOUN
cana-3200	91	15	(	(	PUNCT
cana-3200	91	16	ocr	ocr	ADJ
cana-3200	91	17	)	)	PUNCT
cana-3200	91	18	systems	system	NOUN
cana-3200	91	19	.	.	PUNCT
cana-3200	92	1	the	the	DET
cana-3200	92	2	system	system	NOUN
cana-3200	92	3	's	's	PART
cana-3200	92	4	functionality	functionality	NOUN
cana-3200	92	5	is	be	AUX
cana-3200	92	6	further	far	ADV
cana-3200	92	7	enhanced	enhance	VERB
cana-3200	92	8	by	by	ADP
cana-3200	92	9	employing	employ	VERB
cana-3200	92	10	vector	vector	NOUN
cana-3200	92	11	calculations	calculation	NOUN
cana-3200	92	12	to	to	PART
cana-3200	92	13	determine	determine	VERB
cana-3200	92	14	the	the	DET
cana-3200	92	15	next	next	ADJ
cana-3200	92	16	camera	camera	NOUN
cana-3200	92	17	selection	selection	NOUN
cana-3200	92	18	.	.	PUNCT
cana-3200	93	1	by	by	ADP
cana-3200	93	2	leveraging	leverage	VERB
cana-3200	93	3	known	known	ADJ
cana-3200	93	4	camera	camera	NOUN
cana-3200	93	5	locations	location	NOUN
cana-3200	93	6	and	and	CCONJ
cana-3200	93	7	viewing	view	VERB
cana-3200	93	8	angles	angle	NOUN
cana-3200	93	9	,	,	PUNCT
cana-3200	93	10	as	as	ADV
cana-3200	93	11	well	well	ADV
cana-3200	93	12	as	as	ADP
cana-3200	93	13	the	the	DET
cana-3200	93	14	positions	position	NOUN
cana-3200	93	15	of	of	ADP
cana-3200	93	16	other	other	ADJ
cana-3200	93	17	cameras	camera	NOUN
cana-3200	93	18	,	,	PUNCT
cana-3200	93	19	the	the	DET
cana-3200	93	20	system	system	NOUN
cana-3200	93	21	effectively	effectively	ADV
cana-3200	93	22	minimises	minimise	VERB
cana-3200	93	23	the	the	DET
cana-3200	93	24	number	number	NOUN
cana-3200	93	25	of	of	ADP
cana-3200	93	26	cameras	camera	NOUN
cana-3200	93	27	required	require	VERB
cana-3200	93	28	to	to	PART
cana-3200	93	29	locate	locate	VERB
cana-3200	93	30	the	the	DET
cana-3200	93	31	target	target	NOUN
cana-3200	93	32	vehicle	vehicle	NOUN
cana-3200	93	33	.	.	PUNCT
cana-3200	94	1	this	this	DET
cana-3200	94	2	strategic	strategic	ADJ
cana-3200	94	3	approach	approach	NOUN
cana-3200	94	4	streamlines	streamline	VERB
cana-3200	94	5	the	the	DET
cana-3200	94	6	surveillance	surveillance	NOUN
cana-3200	94	7	process	process	NOUN
cana-3200	94	8	and	and	CCONJ
cana-3200	94	9	optimizes	optimize	VERB
cana-3200	94	10	resource	resource	NOUN
cana-3200	94	11	utilization	utilization	NOUN
cana-3200	94	12	.	.	PUNCT
cana-3200	95	1	3	3	X
cana-3200	95	2	.	.	NUM
cana-3200	95	3	proposed	propose	VERB
cana-3200	95	4	model	model	NOUN
cana-3200	95	5	in	in	ADP
cana-3200	95	6	the	the	DET
cana-3200	95	7	context	context	NOUN
cana-3200	95	8	of	of	ADP
cana-3200	95	9	remote	remote	ADJ
cana-3200	95	10	areas	area	NOUN
cana-3200	95	11	,	,	PUNCT
cana-3200	95	12	the	the	DET
cana-3200	95	13	detection	detection	NOUN
cana-3200	95	14	of	of	ADP
cana-3200	95	15	missing	miss	VERB
cana-3200	95	16	cars	car	NOUN
cana-3200	95	17	presents	present	VERB
cana-3200	95	18	a	a	DET
cana-3200	95	19	unique	unique	ADJ
cana-3200	95	20	challenge	challenge	NOUN
cana-3200	95	21	,	,	PUNCT
cana-3200	95	22	particularly	particularly	ADV
cana-3200	95	23	when	when	SCONJ
cana-3200	95	24	relying	rely	VERB
cana-3200	95	25	completely	completely	ADV
cana-3200	95	26	on	on	ADP
cana-3200	95	27	gps	gps	PROPN
cana-3200	95	28	technology	technology	NOUN
cana-3200	95	29	.	.	PUNCT
cana-3200	96	1	the	the	DET
cana-3200	96	2	conventional	conventional	ADJ
cana-3200	96	3	approach	approach	NOUN
cana-3200	96	4	involves	involve	VERB
cana-3200	96	5	the	the	DET
cana-3200	96	6	car	car	NOUN
cana-3200	96	7	owner	owner	NOUN
cana-3200	96	8	filing	file	VERB
cana-3200	96	9	a	a	DET
cana-3200	96	10	missing	miss	VERB
cana-3200	96	11	report	report	NOUN
cana-3200	96	12	at	at	ADP
cana-3200	96	13	the	the	DET
cana-3200	96	14	nearby	nearby	ADJ
cana-3200	96	15	police	police	NOUN
cana-3200	96	16	station	station	NOUN
cana-3200	96	17	,	,	PUNCT
cana-3200	96	18	which	which	PRON
cana-3200	96	19	subsequently	subsequently	ADV
cana-3200	96	20	deploys	deploy	VERB
cana-3200	96	21	a	a	DET
cana-3200	96	22	search	search	NOUN
cana-3200	96	23	team	team	NOUN
cana-3200	96	24	to	to	PART
cana-3200	96	25	locate	locate	VERB
cana-3200	96	26	the	the	DET
cana-3200	96	27	vehicle	vehicle	NOUN
cana-3200	96	28	.	.	PUNCT
cana-3200	97	1	however	however	ADV
cana-3200	97	2	,	,	PUNCT
cana-3200	97	3	this	this	DET
cana-3200	97	4	method	method	NOUN
cana-3200	97	5	often	often	ADV
cana-3200	97	6	relies	rely	VERB
cana-3200	97	7	on	on	ADP
cana-3200	97	8	a	a	DET
cana-3200	97	9	brute	brute	ADJ
cana-3200	97	10	-	-	PUNCT
cana-3200	97	11	force	force	NOUN
cana-3200	97	12	approach	approach	NOUN
cana-3200	97	13	,	,	PUNCT
cana-3200	97	14	where	where	SCONJ
cana-3200	97	15	authorities	authority	NOUN
cana-3200	97	16	use	use	VERB
cana-3200	97	17	the	the	DET
cana-3200	97	18	limited	limited	ADJ
cana-3200	97	19	information	information	NOUN
cana-3200	97	20	provided	provide	VERB
cana-3200	97	21	by	by	ADP
cana-3200	97	22	the	the	DET
cana-3200	97	23	car	car	NOUN
cana-3200	97	24	owner	owner	NOUN
cana-3200	97	25	to	to	PART
cana-3200	97	26	conduct	conduct	VERB
cana-3200	97	27	a	a	DET
cana-3200	97	28	widespread	widespread	ADJ
cana-3200	97	29	search	search	NOUN
cana-3200	97	30	.	.	PUNCT
cana-3200	98	1	in	in	ADP
cana-3200	98	2	the	the	DET
cana-3200	98	3	proposed	propose	VERB
cana-3200	98	4	model	model	NOUN
cana-3200	98	5	,	,	PUNCT
cana-3200	98	6	the	the	DET
cana-3200	98	7	system	system	NOUN
cana-3200	98	8	aims	aim	VERB
cana-3200	98	9	to	to	PART
cana-3200	98	10	enhance	enhance	VERB
cana-3200	98	11	and	and	CCONJ
cana-3200	98	12	optimize	optimize	VERB
cana-3200	98	13	the	the	DET
cana-3200	98	14	existing	exist	VERB
cana-3200	98	15	process	process	NOUN
cana-3200	98	16	for	for	ADP
cana-3200	98	17	locating	locate	VERB
cana-3200	98	18	missing	miss	VERB
cana-3200	98	19	vehicles	vehicle	NOUN
cana-3200	98	20	in	in	ADP
cana-3200	98	21	remote	remote	ADJ
cana-3200	98	22	areas	area	NOUN
cana-3200	98	23	,	,	PUNCT
cana-3200	98	24	addressing	address	VERB
cana-3200	98	25	the	the	DET
cana-3200	98	26	limitations	limitation	NOUN
cana-3200	98	27	of	of	ADP
cana-3200	98	28	the	the	DET
cana-3200	98	29	current	current	ADJ
cana-3200	98	30	methodology	methodology	NOUN
cana-3200	98	31	.	.	PUNCT
cana-3200	99	1	the	the	DET
cana-3200	99	2	proposed	propose	VERB
cana-3200	99	3	system	system	NOUN
cana-3200	99	4	relies	rely	VERB
cana-3200	99	5	on	on	ADP
cana-3200	99	6	cctv	cctv	PROPN
cana-3200	99	7	footage	footage	NOUN
cana-3200	99	8	as	as	ADP
cana-3200	99	9	the	the	DET
cana-3200	99	10	source	source	NOUN
cana-3200	99	11	to	to	PART
cana-3200	99	12	locate	locate	VERB
cana-3200	99	13	the	the	DET
cana-3200	99	14	car	car	NOUN
cana-3200	99	15	,	,	PUNCT
cana-3200	99	16	where	where	SCONJ
cana-3200	99	17	the	the	DET
cana-3200	99	18	system	system	NOUN
cana-3200	99	19	initiates	initiate	VERB
cana-3200	99	20	the	the	DET
cana-3200	99	21	search	search	NOUN
cana-3200	99	22	for	for	ADP
cana-3200	99	23	the	the	DET
cana-3200	99	24	missing	miss	VERB
cana-3200	99	25	car	car	NOUN
cana-3200	99	26	.	.	PUNCT
cana-3200	100	1	the	the	DET
cana-3200	100	2	basic	basic	ADJ
cana-3200	100	3	information	information	NOUN
cana-3200	100	4	for	for	ADP
cana-3200	100	5	the	the	DET
cana-3200	100	6	car	car	NOUN
cana-3200	100	7	will	will	AUX
cana-3200	100	8	be	be	AUX
cana-3200	100	9	provided	provide	VERB
cana-3200	100	10	by	by	ADP
cana-3200	100	11	the	the	DET
cana-3200	100	12	car	car	NOUN
cana-3200	100	13	owner	owner	NOUN
cana-3200	100	14	with	with	ADP
cana-3200	100	15	some	some	DET
cana-3200	100	16	reference	reference	NOUN
cana-3200	100	17	images	image	NOUN
cana-3200	100	18	of	of	ADP
cana-3200	100	19	the	the	DET
cana-3200	100	20	car	car	NOUN
cana-3200	100	21	.	.	PUNCT
cana-3200	101	1	utilizing	utilize	VERB
cana-3200	101	2	cctv	cctv	PROPN
cana-3200	101	3	footage	footage	NOUN
cana-3200	101	4	the	the	DET
cana-3200	101	5	processing	processing	NOUN
cana-3200	101	6	will	will	AUX
cana-3200	101	7	be	be	AUX
cana-3200	101	8	done	do	VERB
cana-3200	101	9	to	to	PART
cana-3200	101	10	track	track	VERB
cana-3200	101	11	the	the	DET
cana-3200	101	12	car	car	NOUN
cana-3200	101	13	’s	’s	PART
cana-3200	101	14	location	location	NOUN
cana-3200	101	15	and	and	CCONJ
cana-3200	101	16	produce	produce	VERB
cana-3200	101	17	a	a	DET
cana-3200	101	18	route	route	NOUN
cana-3200	101	19	map	map	NOUN
cana-3200	101	20	of	of	ADP
cana-3200	101	21	the	the	DET
cana-3200	101	22	path	path	NOUN
cana-3200	101	23	it	it	PRON
cana-3200	101	24	took	take	VERB
cana-3200	101	25	.	.	PUNCT
cana-3200	102	1	figure	figure	NOUN
cana-3200	102	2	1	1	NUM
cana-3200	102	3	shows	show	VERB
cana-3200	102	4	the	the	DET
cana-3200	102	5	modular	modular	ADJ
cana-3200	102	6	diagram	diagram	NOUN
cana-3200	102	7	of	of	ADP
cana-3200	102	8	the	the	DET
cana-3200	102	9	proposed	propose	VERB
cana-3200	102	10	system	system	NOUN
cana-3200	102	11	that	that	PRON
cana-3200	102	12	comprises	comprise	VERB
cana-3200	102	13	five	five	NUM
cana-3200	102	14	major	major	ADJ
cana-3200	102	15	components	component	NOUN
cana-3200	102	16	.	.	PUNCT
cana-3200	103	1	the	the	DET
cana-3200	103	2	applicant	applicant	NOUN
cana-3200	103	3	of	of	ADP
cana-3200	103	4	the	the	DET
cana-3200	103	5	complaint	complaint	NOUN
cana-3200	103	6	uses	use	VERB
cana-3200	103	7	an	an	DET
cana-3200	103	8	online	online	ADJ
cana-3200	103	9	form	form	NOUN
cana-3200	103	10	to	to	PART
cana-3200	103	11	enter	enter	VERB
cana-3200	103	12	the	the	DET
cana-3200	103	13	necessary	necessary	ADJ
cana-3200	103	14	details	detail	NOUN
cana-3200	103	15	to	to	PART
cana-3200	103	16	initiate	initiate	VERB
cana-3200	103	17	the	the	DET
cana-3200	103	18	search	search	NOUN
cana-3200	103	19	process	process	NOUN
cana-3200	103	20	.	.	PUNCT
cana-3200	104	1	the	the	DET
cana-3200	104	2	form	form	NOUN
cana-3200	104	3	includes	include	VERB
cana-3200	104	4	fields	field	NOUN
cana-3200	104	5	like	like	ADP
cana-3200	104	6	car	car	NOUN
cana-3200	104	7	model	model	NOUN
cana-3200	104	8	,	,	PUNCT
cana-3200	104	9	car	car	NOUN
cana-3200	104	10	colour	colour	NOUN
cana-3200	104	11	,	,	PUNCT
cana-3200	104	12	licence	licence	NOUN
cana-3200	104	13	plate	plate	NOUN
cana-3200	104	14	number	number	NOUN
cana-3200	104	15	,	,	PUNCT
cana-3200	104	16	an	an	DET
cana-3200	104	17	optional	optional	ADJ
cana-3200	104	18	field	field	NOUN
cana-3200	104	19	to	to	PART
cana-3200	104	20	upload	upload	VERB
cana-3200	104	21	the	the	DET
cana-3200	104	22	image	image	NOUN
cana-3200	104	23	of	of	ADP
cana-3200	104	24	the	the	DET
cana-3200	104	25	car	car	NOUN
cana-3200	104	26	,	,	PUNCT
cana-3200	104	27	the	the	DET
cana-3200	104	28	approximate	approximate	ADJ
cana-3200	104	29	timestamp	timestamp	NOUN
cana-3200	104	30	at	at	ADP
cana-3200	104	31	which	which	PRON
cana-3200	104	32	the	the	DET
cana-3200	104	33	car	car	NOUN
cana-3200	104	34	has	have	AUX
cana-3200	104	35	gone	go	VERB
cana-3200	104	36	missing	miss	VERB
cana-3200	104	37	and	and	CCONJ
cana-3200	104	38	the	the	DET
cana-3200	104	39	approximate	approximate	ADJ
cana-3200	104	40	location	location	NOUN
cana-3200	104	41	of	of	ADP
cana-3200	104	42	the	the	DET
cana-3200	104	43	car	car	NOUN
cana-3200	104	44	.	.	PUNCT
cana-3200	105	1	this	this	DET
cana-3200	105	2	information	information	NOUN
cana-3200	105	3	is	be	AUX
cana-3200	105	4	stored	store	VERB
cana-3200	105	5	for	for	ADP
cana-3200	105	6	further	further	ADJ
cana-3200	105	7	usage	usage	NOUN
cana-3200	105	8	in	in	ADP
cana-3200	105	9	the	the	DET
cana-3200	105	10	search	search	NOUN
cana-3200	105	11	process	process	NOUN
cana-3200	105	12	.	.	PUNCT
cana-3200	106	1	communications	communication	NOUN
cana-3200	106	2	on	on	ADP
cana-3200	106	3	applied	apply	VERB
cana-3200	106	4	nonlinear	nonlinear	ADJ
cana-3200	106	5	analysis	analysis	NOUN
cana-3200	106	6	issn	issn	NOUN
cana-3200	106	7	:	:	PUNCT
cana-3200	106	8	1074	1074	NUM
cana-3200	106	9	-	-	PUNCT
cana-3200	106	10	133x	133x	NUM
cana-3200	106	11	vol	vol	NOUN
cana-3200	106	12	32	32	NUM
cana-3200	106	13	no	no	NOUN
cana-3200	106	14	.	.	PUNCT
cana-3200	107	1	5s	5s	NUM
cana-3200	107	2	(	(	PUNCT
cana-3200	107	3	2025	2025	NUM
cana-3200	107	4	)	)	PUNCT
cana-3200	107	5	611	611	NUM
cana-3200	107	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3200	107	7	figure	figure	NOUN
cana-3200	107	8	1	1	NUM
cana-3200	107	9	:	:	PUNCT
cana-3200	107	10	modular	modular	ADJ
cana-3200	107	11	diagram	diagram	NOUN
cana-3200	107	12	of	of	ADP
cana-3200	107	13	the	the	DET
cana-3200	107	14	missing	miss	VERB
cana-3200	107	15	car	car	NOUN
cana-3200	107	16	detection	detection	NOUN
cana-3200	107	17	model	model	NOUN
cana-3200	107	18	based	base	VERB
cana-3200	107	19	on	on	ADP
cana-3200	107	20	the	the	DET
cana-3200	107	21	location	location	NOUN
cana-3200	107	22	and	and	CCONJ
cana-3200	107	23	timestamp	timestamp	NOUN
cana-3200	107	24	of	of	ADP
cana-3200	107	25	theft	theft	NOUN
cana-3200	107	26	,	,	PUNCT
cana-3200	107	27	the	the	DET
cana-3200	107	28	video	video	NOUN
cana-3200	107	29	processing	processing	NOUN
cana-3200	107	30	module	module	NOUN
cana-3200	107	31	extracts	extract	NOUN
cana-3200	107	32	the	the	DET
cana-3200	107	33	videos	video	NOUN
cana-3200	107	34	of	of	ADP
cana-3200	107	35	appropriate	appropriate	ADJ
cana-3200	107	36	intervals	interval	NOUN
cana-3200	107	37	and	and	CCONJ
cana-3200	107	38	locations	location	NOUN
cana-3200	107	39	from	from	ADP
cana-3200	107	40	the	the	DET
cana-3200	107	41	cctv	cctv	PROPN
cana-3200	107	42	systems	system	NOUN
cana-3200	107	43	,	,	PUNCT
cana-3200	107	44	preprocesses	preprocesse	VERB
cana-3200	107	45	them	they	PRON
cana-3200	107	46	and	and	CCONJ
cana-3200	107	47	converts	convert	VERB
cana-3200	107	48	them	they	PRON
cana-3200	107	49	into	into	ADP
cana-3200	107	50	frames	frame	NOUN
cana-3200	107	51	for	for	ADP
cana-3200	107	52	further	further	ADJ
cana-3200	107	53	analysis	analysis	NOUN
cana-3200	107	54	.	.	PUNCT
cana-3200	108	1	object	object	NOUN
cana-3200	108	2	detection	detection	NOUN
cana-3200	108	3	module	module	NOUN
cana-3200	108	4	:	:	PUNCT
cana-3200	108	5	the	the	DET
cana-3200	108	6	object	object	NOUN
cana-3200	108	7	detection	detection	NOUN
cana-3200	108	8	module	module	NOUN
cana-3200	108	9	uses	use	VERB
cana-3200	108	10	the	the	DET
cana-3200	108	11	extracted	extract	VERB
cana-3200	108	12	frames	frame	NOUN
cana-3200	108	13	to	to	PART
cana-3200	108	14	identify	identify	VERB
cana-3200	108	15	cars	car	NOUN
cana-3200	108	16	using	use	VERB
cana-3200	108	17	the	the	DET
cana-3200	108	18	yolov7	yolov7	NOUN
cana-3200	108	19	pretrained	pretraine	VERB
cana-3200	108	20	model	model	NOUN
cana-3200	108	21	[	[	X
cana-3200	108	22	16,19	16,19	NOUN
cana-3200	108	23	]	]	X
cana-3200	108	24	.	.	PUNCT
cana-3200	109	1	the	the	DET
cana-3200	109	2	yolov7	yolov7	NOUN
cana-3200	109	3	internally	internally	ADV
cana-3200	109	4	calculates	calculate	VERB
cana-3200	109	5	the	the	DET
cana-3200	109	6	confidence	confidence	NOUN
cana-3200	109	7	score	score	NOUN
cana-3200	109	8	,	,	PUNCT
cana-3200	109	9	performs	perform	VERB
cana-3200	109	10	class	class	NOUN
cana-3200	109	11	prediction	prediction	NOUN
cana-3200	109	12	and	and	CCONJ
cana-3200	109	13	assigns	assign	NOUN
cana-3200	109	14	bounding	bounding	NOUN
cana-3200	109	15	boxes	box	NOUN
cana-3200	109	16	to	to	PART
cana-3200	109	17	identify	identify	VERB
cana-3200	109	18	all	all	DET
cana-3200	109	19	the	the	DET
cana-3200	109	20	candidate	candidate	NOUN
cana-3200	109	21	cars	car	NOUN
cana-3200	109	22	in	in	ADP
cana-3200	109	23	the	the	DET
cana-3200	109	24	frame	frame	NOUN
cana-3200	109	25	.	.	PUNCT
cana-3200	110	1	●	●	PUNCT
cana-3200	110	2	confidence	confidence	NOUN
cana-3200	110	3	score	score	NOUN
cana-3200	110	4	calculation	calculation	NOUN
cana-3200	110	5	:	:	PUNCT
cana-3200	110	6	it	it	PRON
cana-3200	110	7	calculates	calculate	VERB
cana-3200	110	8	a	a	DET
cana-3200	110	9	confidence	confidence	NOUN
cana-3200	110	10	score	score	NOUN
cana-3200	110	11	for	for	ADP
cana-3200	110	12	each	each	DET
cana-3200	110	13	object	object	NOUN
cana-3200	110	14	or	or	CCONJ
cana-3200	110	15	potential	potential	ADJ
cana-3200	110	16	car	car	NOUN
cana-3200	110	17	within	within	ADP
cana-3200	110	18	the	the	DET
cana-3200	110	19	frame	frame	NOUN
cana-3200	110	20	.	.	PUNCT
cana-3200	111	1	this	this	DET
cana-3200	111	2	score	score	NOUN
cana-3200	111	3	reflects	reflect	VERB
cana-3200	111	4	the	the	DET
cana-3200	111	5	module	module	NOUN
cana-3200	111	6	's	's	PART
cana-3200	111	7	level	level	NOUN
cana-3200	111	8	of	of	ADP
cana-3200	111	9	certainty	certainty	NOUN
cana-3200	111	10	that	that	SCONJ
cana-3200	111	11	a	a	DET
cana-3200	111	12	particular	particular	ADJ
cana-3200	111	13	region	region	NOUN
cana-3200	111	14	of	of	ADP
cana-3200	111	15	the	the	DET
cana-3200	111	16	image	image	NOUN
cana-3200	111	17	contains	contain	VERB
cana-3200	111	18	a	a	DET
cana-3200	111	19	car	car	NOUN
cana-3200	111	20	.	.	PUNCT
cana-3200	112	1	higher	high	ADJ
cana-3200	112	2	confidence	confidence	NOUN
cana-3200	112	3	scores	score	NOUN
cana-3200	112	4	indicate	indicate	VERB
cana-3200	112	5	a	a	DET
cana-3200	112	6	stronger	strong	ADJ
cana-3200	112	7	belief	belief	NOUN
cana-3200	112	8	that	that	SCONJ
cana-3200	112	9	an	an	DET
cana-3200	112	10	object	object	NOUN
cana-3200	112	11	is	be	AUX
cana-3200	112	12	a	a	DET
cana-3200	112	13	car	car	NOUN
cana-3200	112	14	.	.	PUNCT
cana-3200	113	1	●	●	PUNCT
cana-3200	113	2	class	class	NOUN
cana-3200	113	3	prediction	prediction	NOUN
cana-3200	113	4	:	:	PUNCT
cana-3200	113	5	the	the	DET
cana-3200	113	6	module	module	NOUN
cana-3200	113	7	predicts	predict	VERB
cana-3200	113	8	the	the	DET
cana-3200	113	9	class	class	NOUN
cana-3200	113	10	of	of	ADP
cana-3200	113	11	each	each	DET
cana-3200	113	12	object	object	NOUN
cana-3200	113	13	detected	detect	VERB
cana-3200	113	14	in	in	ADP
cana-3200	113	15	the	the	DET
cana-3200	113	16	frame	frame	NOUN
cana-3200	113	17	.	.	PUNCT
cana-3200	114	1	in	in	ADP
cana-3200	114	2	this	this	DET
cana-3200	114	3	specific	specific	ADJ
cana-3200	114	4	case	case	NOUN
cana-3200	114	5	,	,	PUNCT
cana-3200	114	6	the	the	DET
cana-3200	114	7	class	class	NOUN
cana-3200	114	8	of	of	ADP
cana-3200	114	9	interest	interest	NOUN
cana-3200	114	10	is	be	AUX
cana-3200	114	11	"	"	PUNCT
cana-3200	114	12	car	car	NOUN
cana-3200	114	13	.	.	PUNCT
cana-3200	114	14	"	"	PUNCT
cana-3200	115	1	the	the	DET
cana-3200	115	2	module	module	NOUN
cana-3200	115	3	determines	determine	VERB
cana-3200	115	4	whether	whether	SCONJ
cana-3200	115	5	each	each	DET
cana-3200	115	6	object	object	NOUN
cana-3200	115	7	corresponds	correspond	VERB
cana-3200	115	8	to	to	ADP
cana-3200	115	9	a	a	DET
cana-3200	115	10	car	car	NOUN
cana-3200	115	11	or	or	CCONJ
cana-3200	115	12	not	not	PART
cana-3200	115	13	.	.	PUNCT
cana-3200	116	1	●	●	PUNCT
cana-3200	116	2	bounding	bounding	NOUN
cana-3200	116	3	box	box	NOUN
cana-3200	116	4	generation	generation	NOUN
cana-3200	116	5	:	:	PUNCT
cana-3200	116	6	once	once	SCONJ
cana-3200	116	7	an	an	DET
cana-3200	116	8	object	object	NOUN
cana-3200	116	9	is	be	AUX
cana-3200	116	10	identified	identify	VERB
cana-3200	116	11	as	as	ADP
cana-3200	116	12	a	a	DET
cana-3200	116	13	car	car	NOUN
cana-3200	116	14	,	,	PUNCT
cana-3200	116	15	the	the	DET
cana-3200	116	16	module	module	NOUN
cana-3200	116	17	outlines	outline	VERB
cana-3200	116	18	or	or	CCONJ
cana-3200	116	19	highlights	highlight	NOUN
cana-3200	116	20	it	it	PRON
cana-3200	116	21	by	by	ADP
cana-3200	116	22	drawing	draw	VERB
cana-3200	116	23	a	a	DET
cana-3200	116	24	bounding	bounding	NOUN
cana-3200	116	25	box	box	NOUN
cana-3200	116	26	around	around	ADP
cana-3200	116	27	it	it	PRON
cana-3200	116	28	.	.	PUNCT
cana-3200	117	1	this	this	DET
cana-3200	117	2	bounding	bounding	NOUN
cana-3200	117	3	box	box	NOUN
cana-3200	117	4	visually	visually	ADV
cana-3200	117	5	encloses	enclose	VERB
cana-3200	117	6	the	the	DET
cana-3200	117	7	detected	detect	VERB
cana-3200	117	8	car	car	NOUN
cana-3200	117	9	within	within	ADP
cana-3200	117	10	the	the	DET
cana-3200	117	11	frame	frame	NOUN
cana-3200	117	12	,	,	PUNCT
cana-3200	117	13	making	make	VERB
cana-3200	117	14	it	it	PRON
cana-3200	117	15	easily	easily	ADV
cana-3200	117	16	distinguishable	distinguishable	ADJ
cana-3200	117	17	.	.	PUNCT
cana-3200	118	1	by	by	ADP
cana-3200	118	2	performing	perform	VERB
cana-3200	118	3	the	the	DET
cana-3200	118	4	tasks	task	NOUN
cana-3200	118	5	mentioned	mention	VERB
cana-3200	118	6	above	above	ADV
cana-3200	118	7	,	,	PUNCT
cana-3200	118	8	the	the	DET
cana-3200	118	9	object	object	NOUN
cana-3200	118	10	detection	detection	NOUN
cana-3200	118	11	module	module	NOUN
cana-3200	118	12	identifies	identify	VERB
cana-3200	118	13	all	all	DET
cana-3200	118	14	candidate	candidate	NOUN
cana-3200	118	15	cars	car	NOUN
cana-3200	118	16	within	within	ADP
cana-3200	118	17	the	the	DET
cana-3200	118	18	video	video	NOUN
cana-3200	118	19	frame	frame	NOUN
cana-3200	118	20	.	.	PUNCT
cana-3200	119	1	these	these	DET
cana-3200	119	2	candidates	candidate	NOUN
cana-3200	119	3	are	be	AUX
cana-3200	119	4	regions	region	NOUN
cana-3200	119	5	within	within	ADP
cana-3200	119	6	the	the	DET
cana-3200	119	7	image	image	NOUN
cana-3200	119	8	where	where	SCONJ
cana-3200	119	9	the	the	DET
cana-3200	119	10	module	module	NOUN
cana-3200	119	11	has	have	AUX
cana-3200	119	12	detected	detect	VERB
cana-3200	119	13	cars	car	NOUN
cana-3200	119	14	based	base	VERB
cana-3200	119	15	on	on	ADP
cana-3200	119	16	its	its	PRON
cana-3200	119	17	analysis	analysis	NOUN
cana-3200	119	18	.	.	PUNCT
cana-3200	120	1	further	far	ADV
cana-3200	120	2	,	,	PUNCT
cana-3200	120	3	the	the	DET
cana-3200	120	4	identified	identify	VERB
cana-3200	120	5	car	car	NOUN
cana-3200	120	6	images	image	NOUN
cana-3200	120	7	are	be	AUX
cana-3200	120	8	extracted	extract	VERB
cana-3200	120	9	from	from	ADP
cana-3200	120	10	the	the	DET
cana-3200	120	11	frame	frame	NOUN
cana-3200	120	12	and	and	CCONJ
cana-3200	120	13	sent	send	VERB
cana-3200	120	14	for	for	ADP
cana-3200	120	15	feature	feature	NOUN
cana-3200	120	16	matching	matching	NOUN
cana-3200	120	17	.	.	PUNCT
cana-3200	121	1	communications	communication	NOUN
cana-3200	121	2	on	on	ADP
cana-3200	121	3	applied	apply	VERB
cana-3200	121	4	nonlinear	nonlinear	ADJ
cana-3200	121	5	analysis	analysis	NOUN
cana-3200	121	6	issn	issn	NOUN
cana-3200	121	7	:	:	PUNCT
cana-3200	121	8	1074	1074	NUM
cana-3200	121	9	-	-	PUNCT
cana-3200	121	10	133x	133x	NUM
cana-3200	121	11	vol	vol	NOUN
cana-3200	121	12	32	32	NUM
cana-3200	121	13	no	no	NOUN
cana-3200	121	14	.	.	PUNCT
cana-3200	122	1	5s	5s	NUM
cana-3200	122	2	(	(	PUNCT
cana-3200	122	3	2025	2025	NUM
cana-3200	122	4	)	)	PUNCT
cana-3200	122	5	612	612	NUM
cana-3200	122	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3200	122	7	feature	feature	NOUN
cana-3200	122	8	extraction	extraction	NOUN
cana-3200	122	9	module	module	NOUN
cana-3200	122	10	:	:	PUNCT
cana-3200	122	11	the	the	DET
cana-3200	122	12	feature	feature	NOUN
cana-3200	122	13	extraction	extraction	NOUN
cana-3200	122	14	module	module	NOUN
cana-3200	122	15	takes	take	VERB
cana-3200	122	16	the	the	DET
cana-3200	122	17	cropped	cropped	ADJ
cana-3200	122	18	car	car	NOUN
cana-3200	122	19	images	image	NOUN
cana-3200	122	20	and	and	CCONJ
cana-3200	122	21	extracts	extract	VERB
cana-3200	122	22	the	the	DET
cana-3200	122	23	features	feature	NOUN
cana-3200	122	24	of	of	ADP
cana-3200	122	25	the	the	DET
cana-3200	122	26	car	car	NOUN
cana-3200	122	27	.	.	PUNCT
cana-3200	123	1	these	these	DET
cana-3200	123	2	features	feature	NOUN
cana-3200	123	3	include	include	VERB
cana-3200	123	4	the	the	DET
cana-3200	123	5	car	car	NOUN
cana-3200	123	6	model	model	NOUN
cana-3200	123	7	,	,	PUNCT
cana-3200	123	8	car	car	NOUN
cana-3200	123	9	colour	colour	NOUN
cana-3200	123	10	and	and	CCONJ
cana-3200	123	11	the	the	DET
cana-3200	123	12	number	number	NOUN
cana-3200	123	13	plate	plate	NOUN
cana-3200	123	14	.	.	PUNCT
cana-3200	124	1	the	the	DET
cana-3200	124	2	extracted	extract	VERB
cana-3200	124	3	features	feature	NOUN
cana-3200	124	4	are	be	AUX
cana-3200	124	5	used	use	VERB
cana-3200	124	6	to	to	PART
cana-3200	124	7	match	match	VERB
cana-3200	124	8	the	the	DET
cana-3200	124	9	car	car	NOUN
cana-3200	124	10	image	image	NOUN
cana-3200	124	11	with	with	ADP
cana-3200	124	12	the	the	DET
cana-3200	124	13	subject	subject	ADJ
cana-3200	124	14	car	car	NOUN
cana-3200	124	15	features	feature	NOUN
cana-3200	124	16	as	as	SCONJ
cana-3200	124	17	provided	provide	VERB
cana-3200	124	18	by	by	ADP
cana-3200	124	19	the	the	DET
cana-3200	124	20	applicant	applicant	NOUN
cana-3200	124	21	these	these	DET
cana-3200	124	22	features	feature	NOUN
cana-3200	124	23	are	be	AUX
cana-3200	124	24	also	also	ADV
cana-3200	124	25	used	use	VERB
cana-3200	124	26	when	when	SCONJ
cana-3200	124	27	the	the	DET
cana-3200	124	28	car	car	NOUN
cana-3200	124	29	has	have	VERB
cana-3200	124	30	to	to	PART
cana-3200	124	31	be	be	AUX
cana-3200	124	32	reidentified	reidentifie	VERB
cana-3200	124	33	in	in	ADP
cana-3200	124	34	subsequent	subsequent	ADJ
cana-3200	124	35	videos	video	NOUN
cana-3200	124	36	.	.	PUNCT
cana-3200	125	1	it	it	PRON
cana-3200	125	2	identifies	identify	VERB
cana-3200	125	3	the	the	DET
cana-3200	125	4	target	target	NOUN
cana-3200	125	5	car	car	NOUN
cana-3200	125	6	from	from	ADP
cana-3200	125	7	the	the	DET
cana-3200	125	8	set	set	NOUN
cana-3200	125	9	of	of	ADP
cana-3200	125	10	candidate	candidate	NOUN
cana-3200	125	11	cars	car	NOUN
cana-3200	125	12	.	.	PUNCT
cana-3200	126	1	tracking	tracking	NOUN
cana-3200	126	2	module	module	NOUN
cana-3200	126	3	:	:	PUNCT
cana-3200	126	4	figure	figure	NOUN
cana-3200	126	5	2	2	NUM
cana-3200	126	6	depicts	depict	VERB
cana-3200	126	7	the	the	DET
cana-3200	126	8	tracking	tracking	NOUN
cana-3200	126	9	module	module	NOUN
cana-3200	126	10	of	of	ADP
cana-3200	126	11	the	the	DET
cana-3200	126	12	system	system	NOUN
cana-3200	126	13	,	,	PUNCT
cana-3200	126	14	which	which	PRON
cana-3200	126	15	serves	serve	VERB
cana-3200	126	16	the	the	DET
cana-3200	126	17	purpose	purpose	NOUN
cana-3200	126	18	of	of	ADP
cana-3200	126	19	tracking	track	VERB
cana-3200	126	20	a	a	DET
cana-3200	126	21	car	car	NOUN
cana-3200	126	22	within	within	ADP
cana-3200	126	23	the	the	DET
cana-3200	126	24	same	same	ADJ
cana-3200	126	25	video	video	NOUN
cana-3200	126	26	(	(	PUNCT
cana-3200	126	27	inter	inter	ADJ
cana-3200	126	28	-	-	ADJ
cana-3200	126	29	frame	frame	ADJ
cana-3200	126	30	tracking	tracking	NOUN
cana-3200	126	31	)	)	PUNCT
cana-3200	126	32	.	.	PUNCT
cana-3200	127	1	the	the	DET
cana-3200	127	2	target	target	NOUN
cana-3200	127	3	car	car	NOUN
cana-3200	127	4	features	feature	NOUN
cana-3200	127	5	from	from	ADP
cana-3200	127	6	the	the	DET
cana-3200	127	7	previous	previous	ADJ
cana-3200	127	8	frame	frame	NOUN
cana-3200	127	9	are	be	AUX
cana-3200	127	10	then	then	ADV
cana-3200	127	11	used	use	VERB
cana-3200	127	12	for	for	ADP
cana-3200	127	13	the	the	DET
cana-3200	127	14	identification	identification	NOUN
cana-3200	127	15	of	of	ADP
cana-3200	127	16	the	the	DET
cana-3200	127	17	same	same	ADJ
cana-3200	127	18	car	car	NOUN
cana-3200	127	19	in	in	ADP
cana-3200	127	20	the	the	DET
cana-3200	127	21	next	next	ADJ
cana-3200	127	22	frame	frame	NOUN
cana-3200	127	23	.	.	PUNCT
cana-3200	128	1	it	it	PRON
cana-3200	128	2	goes	go	VERB
cana-3200	128	3	through	through	ADP
cana-3200	128	4	the	the	DET
cana-3200	128	5	following	follow	VERB
cana-3200	128	6	steps	step	NOUN
cana-3200	128	7	.	.	PUNCT
cana-3200	129	1	●	●	PUNCT
cana-3200	129	2	initial	initial	ADJ
cana-3200	129	3	identification	identification	NOUN
cana-3200	129	4	:	:	PUNCT
cana-3200	129	5	the	the	DET
cana-3200	129	6	module	module	NOUN
cana-3200	129	7	starts	start	VERB
cana-3200	129	8	by	by	ADP
cana-3200	129	9	identifying	identify	VERB
cana-3200	129	10	and	and	CCONJ
cana-3200	129	11	tracking	tracking	NOUN
cana-3200	129	12	objects	object	NOUN
cana-3200	129	13	in	in	ADP
cana-3200	129	14	one	one	NUM
cana-3200	129	15	video	video	NOUN
cana-3200	129	16	frame	frame	NOUN
cana-3200	129	17	.	.	PUNCT
cana-3200	130	1	this	this	DET
cana-3200	130	2	initial	initial	ADJ
cana-3200	130	3	identification	identification	NOUN
cana-3200	130	4	may	may	AUX
cana-3200	130	5	involve	involve	VERB
cana-3200	130	6	detecting	detect	VERB
cana-3200	130	7	cars	car	NOUN
cana-3200	130	8	or	or	CCONJ
cana-3200	130	9	other	other	ADJ
cana-3200	130	10	objects	object	NOUN
cana-3200	130	11	in	in	ADP
cana-3200	130	12	the	the	DET
cana-3200	130	13	frame	frame	NOUN
cana-3200	130	14	and	and	CCONJ
cana-3200	130	15	assigning	assign	VERB
cana-3200	130	16	unique	unique	ADJ
cana-3200	130	17	identifiers	identifier	NOUN
cana-3200	130	18	or	or	CCONJ
cana-3200	130	19	labels	label	NOUN
cana-3200	130	20	to	to	ADP
cana-3200	130	21	them	they	PRON
cana-3200	130	22	.	.	PUNCT
cana-3200	131	1	●	●	NUM
cana-3200	131	2	foreground	foreground	NOUN
cana-3200	131	3	detection	detection	NOUN
cana-3200	131	4	:	:	PUNCT
cana-3200	131	5	it	it	PRON
cana-3200	131	6	may	may	AUX
cana-3200	131	7	perform	perform	VERB
cana-3200	131	8	foreground	foreground	NOUN
cana-3200	131	9	detection	detection	NOUN
cana-3200	131	10	to	to	PART
cana-3200	131	11	isolate	isolate	VERB
cana-3200	131	12	moving	move	VERB
cana-3200	131	13	objects	object	NOUN
cana-3200	131	14	from	from	ADP
cana-3200	131	15	the	the	DET
cana-3200	131	16	static	static	ADJ
cana-3200	131	17	background	background	NOUN
cana-3200	131	18	.	.	PUNCT
cana-3200	132	1	this	this	DET
cana-3200	132	2	step	step	NOUN
cana-3200	132	3	helps	help	VERB
cana-3200	132	4	in	in	ADP
cana-3200	132	5	distinguishing	distinguish	VERB
cana-3200	132	6	the	the	DET
cana-3200	132	7	objects	object	NOUN
cana-3200	132	8	of	of	ADP
cana-3200	132	9	interest	interest	NOUN
cana-3200	132	10	(	(	PUNCT
cana-3200	132	11	e.g.	e.g.	ADV
cana-3200	132	12	,	,	PUNCT
cana-3200	132	13	cars	car	NOUN
cana-3200	132	14	)	)	PUNCT
cana-3200	132	15	from	from	ADP
cana-3200	132	16	the	the	DET
cana-3200	132	17	background	background	NOUN
cana-3200	132	18	.	.	PUNCT
cana-3200	133	1	●	●	PUNCT
cana-3200	133	2	connected	connect	VERB
cana-3200	133	3	flow	flow	NOUN
cana-3200	133	4	analysis	analysis	NOUN
cana-3200	133	5	:	:	PUNCT
cana-3200	133	6	the	the	DET
cana-3200	133	7	module	module	NOUN
cana-3200	133	8	analyses	analyse	VERB
cana-3200	133	9	the	the	DET
cana-3200	133	10	flow	flow	NOUN
cana-3200	133	11	of	of	ADP
cana-3200	133	12	connected	connected	ADJ
cana-3200	133	13	objects	object	NOUN
cana-3200	133	14	across	across	ADP
cana-3200	133	15	frames	frame	NOUN
cana-3200	133	16	.	.	PUNCT
cana-3200	134	1	it	it	PRON
cana-3200	134	2	tracks	track	VERB
cana-3200	134	3	how	how	SCONJ
cana-3200	134	4	objects	object	NOUN
cana-3200	134	5	move	move	VERB
cana-3200	134	6	from	from	ADP
cana-3200	134	7	one	one	NUM
cana-3200	134	8	frame	frame	NOUN
cana-3200	134	9	to	to	ADP
cana-3200	134	10	the	the	DET
cana-3200	134	11	next	next	ADJ
cana-3200	134	12	,	,	PUNCT
cana-3200	134	13	allowing	allow	VERB
cana-3200	134	14	it	it	PRON
cana-3200	134	15	to	to	PART
cana-3200	134	16	follow	follow	VERB
cana-3200	134	17	the	the	DET
cana-3200	134	18	trajectory	trajectory	NOUN
cana-3200	134	19	of	of	ADP
cana-3200	134	20	each	each	DET
cana-3200	134	21	object	object	NOUN
cana-3200	134	22	.	.	PUNCT
cana-3200	135	1	●	●	PUNCT
cana-3200	135	2	tracking	tracking	NOUN
cana-3200	135	3	by	by	ADP
cana-3200	135	4	optical	optical	ADJ
cana-3200	135	5	flow	flow	NOUN
cana-3200	135	6	:	:	PUNCT
cana-3200	135	7	optical	optical	ADJ
cana-3200	135	8	flow	flow	NOUN
cana-3200	135	9	is	be	AUX
cana-3200	135	10	a	a	DET
cana-3200	135	11	technique	technique	NOUN
cana-3200	135	12	used	use	VERB
cana-3200	135	13	to	to	PART
cana-3200	135	14	estimate	estimate	VERB
cana-3200	135	15	the	the	DET
cana-3200	135	16	motion	motion	NOUN
cana-3200	135	17	of	of	ADP
cana-3200	135	18	objects	object	NOUN
cana-3200	135	19	in	in	ADP
cana-3200	135	20	consecutive	consecutive	ADJ
cana-3200	135	21	video	video	NOUN
cana-3200	135	22	frames	frame	NOUN
cana-3200	135	23	.	.	PUNCT
cana-3200	136	1	it	it	PRON
cana-3200	136	2	calculates	calculate	VERB
cana-3200	136	3	how	how	SCONJ
cana-3200	136	4	pixels	pixel	NOUN
cana-3200	136	5	move	move	VERB
cana-3200	136	6	between	between	ADP
cana-3200	136	7	frames	frame	NOUN
cana-3200	136	8	,	,	PUNCT
cana-3200	136	9	helping	help	VERB
cana-3200	136	10	to	to	PART
cana-3200	136	11	track	track	VERB
cana-3200	136	12	the	the	DET
cana-3200	136	13	objects	object	NOUN
cana-3200	136	14	'	'	PART
cana-3200	136	15	positions	position	NOUN
cana-3200	136	16	accurately	accurately	ADV
cana-3200	136	17	over	over	ADP
cana-3200	136	18	time	time	NOUN
cana-3200	136	19	.	.	PUNCT
cana-3200	137	1	●	●	PUNCT
cana-3200	137	2	detection	detection	NOUN
cana-3200	137	3	of	of	ADP
cana-3200	137	4	the	the	DET
cana-3200	137	5	direction	direction	NOUN
cana-3200	137	6	of	of	ADP
cana-3200	137	7	motion	motion	NOUN
cana-3200	137	8	:	:	PUNCT
cana-3200	137	9	the	the	DET
cana-3200	137	10	direction	direction	NOUN
cana-3200	137	11	of	of	ADP
cana-3200	137	12	motion	motion	NOUN
cana-3200	137	13	of	of	ADP
cana-3200	137	14	the	the	DET
cana-3200	137	15	car	car	NOUN
cana-3200	137	16	helps	help	VERB
cana-3200	137	17	in	in	ADP
cana-3200	137	18	identifying	identify	VERB
cana-3200	137	19	the	the	DET
cana-3200	137	20	next	next	ADJ
cana-3200	137	21	camera	camera	NOUN
cana-3200	137	22	or	or	CCONJ
cana-3200	137	23	the	the	DET
cana-3200	137	24	set	set	NOUN
cana-3200	137	25	of	of	ADP
cana-3200	137	26	cameras	camera	NOUN
cana-3200	137	27	that	that	PRON
cana-3200	137	28	might	might	AUX
cana-3200	137	29	have	have	AUX
cana-3200	137	30	captured	capture	VERB
cana-3200	137	31	the	the	DET
cana-3200	137	32	car	car	NOUN
cana-3200	137	33	.	.	PUNCT
cana-3200	138	1	the	the	DET
cana-3200	138	2	direction	direction	NOUN
cana-3200	138	3	of	of	ADP
cana-3200	138	4	motion	motion	NOUN
cana-3200	138	5	is	be	AUX
cana-3200	138	6	calculated	calculate	VERB
cana-3200	138	7	using	use	VERB
cana-3200	138	8	vector	vector	NOUN
cana-3200	138	9	mathematics	mathematic	NOUN
cana-3200	138	10	.	.	PUNCT
cana-3200	139	1	figure	figure	NOUN
cana-3200	139	2	2	2	NUM
cana-3200	139	3	:	:	PUNCT
cana-3200	139	4	tracking	track	VERB
cana-3200	139	5	module	module	NOUN
cana-3200	139	6	communications	communication	NOUN
cana-3200	139	7	on	on	ADP
cana-3200	139	8	applied	apply	VERB
cana-3200	139	9	nonlinear	nonlinear	ADJ
cana-3200	139	10	analysis	analysis	NOUN
cana-3200	139	11	issn	issn	NOUN
cana-3200	139	12	:	:	PUNCT
cana-3200	139	13	1074	1074	NUM
cana-3200	139	14	-	-	PUNCT
cana-3200	139	15	133x	133x	NUM
cana-3200	139	16	vol	vol	NOUN
cana-3200	139	17	32	32	NUM
cana-3200	139	18	no	no	NOUN
cana-3200	139	19	.	.	PUNCT
cana-3200	140	1	5s	5s	NUM
cana-3200	140	2	(	(	PUNCT
cana-3200	140	3	2025	2025	NUM
cana-3200	140	4	)	)	PUNCT
cana-3200	140	5	613	613	NUM
cana-3200	140	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3200	140	7	re	re	NOUN
cana-3200	140	8	-	-	NOUN
cana-3200	140	9	identification	identification	NOUN
cana-3200	140	10	module	module	NOUN
cana-3200	140	11	:	:	PUNCT
cana-3200	140	12	figure	figure	NOUN
cana-3200	140	13	3	3	NUM
cana-3200	140	14	shows	show	VERB
cana-3200	140	15	the	the	DET
cana-3200	140	16	re	re	NOUN
cana-3200	140	17	-	-	NOUN
cana-3200	140	18	identification	identification	NOUN
cana-3200	140	19	module	module	NOUN
cana-3200	140	20	,	,	PUNCT
cana-3200	140	21	which	which	PRON
cana-3200	140	22	serves	serve	VERB
cana-3200	140	23	the	the	DET
cana-3200	140	24	purpose	purpose	NOUN
cana-3200	140	25	of	of	ADP
cana-3200	140	26	tracking	track	VERB
cana-3200	140	27	cars	car	NOUN
cana-3200	140	28	from	from	ADP
cana-3200	140	29	multiple	multiple	ADJ
cana-3200	140	30	cctv	cctv	NOUN
cana-3200	140	31	footage	footage	NOUN
cana-3200	140	32	videos	video	NOUN
cana-3200	140	33	captured	capture	VERB
cana-3200	140	34	at	at	ADP
cana-3200	140	35	different	different	ADJ
cana-3200	140	36	locations	location	NOUN
cana-3200	140	37	(	(	PUNCT
cana-3200	140	38	inter	inter	ADJ
cana-3200	140	39	-	-	ADJ
cana-3200	140	40	video	video	ADJ
cana-3200	140	41	tracking	tracking	NOUN
cana-3200	140	42	)	)	PUNCT
cana-3200	140	43	.	.	PUNCT
cana-3200	141	1	when	when	SCONJ
cana-3200	141	2	a	a	DET
cana-3200	141	3	car	car	NOUN
cana-3200	141	4	exits	exit	VERB
cana-3200	141	5	one	one	NUM
cana-3200	141	6	camera	camera	NOUN
cana-3200	141	7	coverage	coverage	NOUN
cana-3200	141	8	it	it	PRON
cana-3200	141	9	has	have	VERB
cana-3200	141	10	to	to	PART
cana-3200	141	11	be	be	AUX
cana-3200	141	12	identified	identify	VERB
cana-3200	141	13	in	in	ADP
cana-3200	141	14	another	another	DET
cana-3200	141	15	camera	camera	NOUN
cana-3200	141	16	coverage	coverage	NOUN
cana-3200	141	17	.	.	PUNCT
cana-3200	142	1	the	the	DET
cana-3200	142	2	identification	identification	NOUN
cana-3200	142	3	module	module	NOUN
cana-3200	142	4	calculates	calculate	VERB
cana-3200	142	5	similarity	similarity	NOUN
cana-3200	142	6	scores	score	NOUN
cana-3200	142	7	between	between	ADP
cana-3200	142	8	the	the	DET
cana-3200	142	9	cars	car	NOUN
cana-3200	142	10	identified	identify	VERB
cana-3200	142	11	in	in	ADP
cana-3200	142	12	the	the	DET
cana-3200	142	13	last	last	ADJ
cana-3200	142	14	frame	frame	NOUN
cana-3200	142	15	of	of	ADP
cana-3200	142	16	the	the	DET
cana-3200	142	17	previous	previous	ADJ
cana-3200	142	18	video	video	NOUN
cana-3200	142	19	and	and	CCONJ
cana-3200	142	20	the	the	DET
cana-3200	142	21	cars	car	NOUN
cana-3200	142	22	in	in	ADP
cana-3200	142	23	the	the	DET
cana-3200	142	24	first	first	ADJ
cana-3200	142	25	frame	frame	NOUN
cana-3200	142	26	of	of	ADP
cana-3200	142	27	the	the	DET
cana-3200	142	28	new	new	ADJ
cana-3200	142	29	video	video	NOUN
cana-3200	142	30	.	.	PUNCT
cana-3200	143	1	this	this	DET
cana-3200	143	2	score	score	NOUN
cana-3200	143	3	is	be	AUX
cana-3200	143	4	based	base	VERB
cana-3200	143	5	on	on	ADP
cana-3200	143	6	the	the	DET
cana-3200	143	7	features	feature	NOUN
cana-3200	143	8	of	of	ADP
cana-3200	143	9	the	the	DET
cana-3200	143	10	car	car	NOUN
cana-3200	143	11	extracted	extract	VERB
cana-3200	143	12	from	from	ADP
cana-3200	143	13	the	the	DET
cana-3200	143	14	feature	feature	NOUN
cana-3200	143	15	extraction	extraction	NOUN
cana-3200	143	16	module	module	NOUN
cana-3200	143	17	.	.	PUNCT
cana-3200	144	1	reidentification	reidentification	NOUN
cana-3200	144	2	is	be	AUX
cana-3200	144	3	the	the	DET
cana-3200	144	4	process	process	NOUN
cana-3200	144	5	of	of	ADP
cana-3200	144	6	associating	associate	VERB
cana-3200	144	7	an	an	DET
cana-3200	144	8	object	object	NOUN
cana-3200	144	9	identified	identify	VERB
cana-3200	144	10	in	in	ADP
cana-3200	144	11	one	one	NUM
cana-3200	144	12	video	video	NOUN
cana-3200	144	13	source	source	NOUN
cana-3200	144	14	with	with	ADP
cana-3200	144	15	the	the	DET
cana-3200	144	16	same	same	ADJ
cana-3200	144	17	object	object	NOUN
cana-3200	144	18	in	in	ADP
cana-3200	144	19	another	another	DET
cana-3200	144	20	video	video	NOUN
cana-3200	144	21	source	source	NOUN
cana-3200	144	22	.	.	PUNCT
cana-3200	145	1	it	it	PRON
cana-3200	145	2	helps	help	VERB
cana-3200	145	3	in	in	ADP
cana-3200	145	4	maintaining	maintain	VERB
cana-3200	145	5	tracking	track	VERB
cana-3200	145	6	across	across	ADP
cana-3200	145	7	video	video	NOUN
cana-3200	145	8	boundaries	boundary	NOUN
cana-3200	145	9	.	.	PUNCT
cana-3200	146	1	figure	figure	VERB
cana-3200	146	2	3	3	NUM
cana-3200	146	3	:	:	PUNCT
cana-3200	146	4	re	re	NOUN
cana-3200	146	5	-	-	NOUN
cana-3200	146	6	identification	identification	NOUN
cana-3200	146	7	module	module	NOUN
cana-3200	146	8	track	track	NOUN
cana-3200	146	9	plotting	plotting	NOUN
cana-3200	146	10	module	module	NOUN
cana-3200	146	11	:	:	PUNCT
cana-3200	146	12	this	this	DET
cana-3200	146	13	module	module	NOUN
cana-3200	146	14	detects	detect	VERB
cana-3200	146	15	the	the	DET
cana-3200	146	16	location	location	NOUN
cana-3200	146	17	of	of	ADP
cana-3200	146	18	the	the	DET
cana-3200	146	19	cameras	camera	NOUN
cana-3200	146	20	in	in	ADP
cana-3200	146	21	which	which	PRON
cana-3200	146	22	the	the	DET
cana-3200	146	23	car	car	NOUN
cana-3200	146	24	has	have	AUX
cana-3200	146	25	been	be	AUX
cana-3200	146	26	found	find	VERB
cana-3200	146	27	and	and	CCONJ
cana-3200	146	28	then	then	ADV
cana-3200	146	29	plots	plot	VERB
cana-3200	146	30	the	the	DET
cana-3200	146	31	track	track	NOUN
cana-3200	146	32	on	on	ADP
cana-3200	146	33	a	a	DET
cana-3200	146	34	map	map	NOUN
cana-3200	146	35	.	.	PUNCT
cana-3200	147	1	4	4	X
cana-3200	147	2	.	.	X
cana-3200	147	3	methodology	methodology	VERB
cana-3200	147	4	the	the	DET
cana-3200	147	5	methodology	methodology	NOUN
cana-3200	147	6	of	of	ADP
cana-3200	147	7	the	the	DET
cana-3200	147	8	project	project	NOUN
cana-3200	147	9	is	be	AUX
cana-3200	147	10	as	as	SCONJ
cana-3200	147	11	follows	follow	VERB
cana-3200	147	12	:	:	PUNCT
cana-3200	147	13	4.1	4.1	NUM
cana-3200	147	14	video	video	NOUN
cana-3200	147	15	processing	processing	NOUN
cana-3200	147	16	module	module	NOUN
cana-3200	147	17	in	in	ADP
cana-3200	147	18	the	the	DET
cana-3200	147	19	video	video	NOUN
cana-3200	147	20	processing	processing	NOUN
cana-3200	147	21	module	module	NOUN
cana-3200	147	22	video	video	NOUN
cana-3200	147	23	from	from	ADP
cana-3200	147	24	cctv	cctv	PROPN
cana-3200	147	25	is	be	AUX
cana-3200	147	26	uploaded	upload	VERB
cana-3200	147	27	to	to	ADP
cana-3200	147	28	the	the	DET
cana-3200	147	29	system	system	NOUN
cana-3200	147	30	and	and	CCONJ
cana-3200	147	31	then	then	ADV
cana-3200	147	32	video	video	NOUN
cana-3200	147	33	processing	processing	NOUN
cana-3200	147	34	is	be	AUX
cana-3200	147	35	done	do	VERB
cana-3200	147	36	,	,	PUNCT
cana-3200	147	37	where	where	SCONJ
cana-3200	147	38	the	the	DET
cana-3200	147	39	frames	frame	NOUN
cana-3200	147	40	are	be	AUX
cana-3200	147	41	converted	convert	VERB
cana-3200	147	42	from	from	ADP
cana-3200	147	43	the	the	DET
cana-3200	147	44	video	video	NOUN
cana-3200	147	45	and	and	CCONJ
cana-3200	147	46	stored	store	VERB
cana-3200	147	47	in	in	ADP
cana-3200	147	48	one	one	NUM
cana-3200	147	49	folder	folder	NOUN
cana-3200	147	50	.	.	PUNCT
cana-3200	148	1	4.2	4.2	NUM
cana-3200	148	2	object	object	NOUN
cana-3200	148	3	detection	detection	NOUN
cana-3200	148	4	module	module	NOUN
cana-3200	148	5	each	each	DET
cana-3200	148	6	frame	frame	NOUN
cana-3200	148	7	undergoes	undergo	VERB
cana-3200	148	8	analysis	analysis	NOUN
cana-3200	148	9	in	in	ADP
cana-3200	148	10	the	the	DET
cana-3200	148	11	object	object	NOUN
cana-3200	148	12	detection	detection	NOUN
cana-3200	148	13	module	module	NOUN
cana-3200	148	14	,	,	PUNCT
cana-3200	148	15	if	if	SCONJ
cana-3200	148	16	any	any	DET
cana-3200	148	17	particular	particular	ADJ
cana-3200	148	18	frame	frame	NOUN
cana-3200	148	19	does	do	AUX
cana-3200	148	20	not	not	PART
cana-3200	148	21	contain	contain	VERB
cana-3200	148	22	objects(cars	objects(car	NOUN
cana-3200	148	23	)	)	PUNCT
cana-3200	148	24	then	then	ADV
cana-3200	148	25	delete	delete	VERB
cana-3200	148	26	the	the	DET
cana-3200	148	27	frame	frame	NOUN
cana-3200	148	28	.	.	PUNCT
cana-3200	149	1	this	this	PRON
cana-3200	149	2	helps	help	VERB
cana-3200	149	3	to	to	PART
cana-3200	149	4	reduce	reduce	VERB
cana-3200	149	5	the	the	DET
cana-3200	149	6	complexity	complexity	NOUN
cana-3200	149	7	in	in	ADP
cana-3200	149	8	cases	case	NOUN
cana-3200	149	9	of	of	ADP
cana-3200	149	10	no	no	DET
cana-3200	149	11	vehicles	vehicle	NOUN
cana-3200	149	12	in	in	ADP
cana-3200	149	13	videos	video	NOUN
cana-3200	149	14	.	.	PUNCT
cana-3200	150	1	the	the	DET
cana-3200	150	2	module	module	NOUN
cana-3200	150	3	uses	use	VERB
cana-3200	150	4	the	the	DET
cana-3200	150	5	yolo	yolo	ADJ
cana-3200	150	6	model	model	NOUN
cana-3200	150	7	for	for	ADP
cana-3200	150	8	vehicle	vehicle	NOUN
cana-3200	150	9	detection	detection	NOUN
cana-3200	150	10	.	.	PUNCT
cana-3200	151	1	then	then	ADV
cana-3200	151	2	after	after	ADP
cana-3200	151	3	cleaning	clean	VERB
cana-3200	151	4	through	through	ADP
cana-3200	151	5	the	the	DET
cana-3200	151	6	frame	frame	NOUN
cana-3200	151	7	data	datum	NOUN
cana-3200	151	8	the	the	DET
cana-3200	151	9	system	system	NOUN
cana-3200	151	10	starts	start	VERB
cana-3200	151	11	detecting	detect	VERB
cana-3200	151	12	cars	car	NOUN
cana-3200	151	13	in	in	ADP
cana-3200	151	14	each	each	DET
cana-3200	151	15	frame	frame	NOUN
cana-3200	151	16	and	and	CCONJ
cana-3200	151	17	creates	create	VERB
cana-3200	151	18	a	a	DET
cana-3200	151	19	bounding	bounding	NOUN
cana-3200	151	20	box	box	NOUN
cana-3200	151	21	that	that	PRON
cana-3200	151	22	crops	crop	VERB
cana-3200	151	23	the	the	DET
cana-3200	151	24	cars	car	NOUN
cana-3200	151	25	from	from	ADP
cana-3200	151	26	the	the	DET
cana-3200	151	27	frame	frame	NOUN
cana-3200	151	28	.	.	PUNCT
cana-3200	152	1	the	the	DET
cana-3200	152	2	cropped	cropped	ADJ
cana-3200	152	3	cars	car	NOUN
cana-3200	152	4	are	be	AUX
cana-3200	152	5	stored	store	VERB
cana-3200	152	6	in	in	ADP
cana-3200	152	7	another	another	DET
cana-3200	152	8	folder	folder	NOUN
cana-3200	152	9	.	.	PUNCT
cana-3200	153	1	additionally	additionally	ADV
cana-3200	153	2	,	,	PUNCT
cana-3200	153	3	the	the	DET
cana-3200	153	4	communications	communication	NOUN
cana-3200	153	5	on	on	ADP
cana-3200	153	6	applied	apply	VERB
cana-3200	153	7	nonlinear	nonlinear	ADJ
cana-3200	153	8	analysis	analysis	NOUN
cana-3200	153	9	issn	issn	NOUN
cana-3200	153	10	:	:	PUNCT
cana-3200	153	11	1074	1074	NUM
cana-3200	153	12	-	-	PUNCT
cana-3200	153	13	133x	133x	NUM
cana-3200	153	14	vol	vol	NOUN
cana-3200	153	15	32	32	NUM
cana-3200	153	16	no	no	NOUN
cana-3200	153	17	.	.	PUNCT
cana-3200	154	1	5s	5s	NUM
cana-3200	154	2	(	(	PUNCT
cana-3200	154	3	2025	2025	NUM
cana-3200	154	4	)	)	PUNCT
cana-3200	154	5	614	614	NUM
cana-3200	154	6	https://internationalpubls.com	https://internationalpubls.com	NUM
cana-3200	154	7	cropped	cropped	ADJ
cana-3200	154	8	cars	car	NOUN
cana-3200	154	9	are	be	AUX
cana-3200	154	10	checked	check	VERB
cana-3200	154	11	with	with	ADP
cana-3200	154	12	a	a	DET
cana-3200	154	13	number	number	NOUN
cana-3200	154	14	plate	plate	NOUN
cana-3200	154	15	in	in	ADP
cana-3200	154	16	the	the	DET
cana-3200	154	17	frame	frame	NOUN
cana-3200	154	18	,	,	PUNCT
cana-3200	154	19	if	if	SCONJ
cana-3200	154	20	a	a	DET
cana-3200	154	21	number	number	NOUN
cana-3200	154	22	plate	plate	NOUN
cana-3200	154	23	is	be	AUX
cana-3200	154	24	detected	detect	VERB
cana-3200	154	25	then	then	ADV
cana-3200	154	26	these	these	DET
cana-3200	154	27	number	number	NOUN
cana-3200	154	28	plates	plate	NOUN
cana-3200	154	29	are	be	AUX
cana-3200	154	30	also	also	ADV
cana-3200	154	31	cropped	crop	VERB
cana-3200	154	32	and	and	CCONJ
cana-3200	154	33	stored	store	VERB
cana-3200	154	34	.	.	PUNCT
cana-3200	155	1	4.3	4.3	NUM
cana-3200	155	2	feature	feature	NOUN
cana-3200	155	3	extraction	extraction	NOUN
cana-3200	155	4	module	module	NOUN
cana-3200	155	5	the	the	DET
cana-3200	155	6	cropped	cropped	ADJ
cana-3200	155	7	cars	car	NOUN
cana-3200	155	8	and	and	CCONJ
cana-3200	155	9	number	number	NOUN
cana-3200	155	10	plates	plate	NOUN
cana-3200	155	11	are	be	AUX
cana-3200	155	12	sent	send	VERB
cana-3200	155	13	to	to	PART
cana-3200	155	14	extract	extract	VERB
cana-3200	155	15	the	the	DET
cana-3200	155	16	features	feature	NOUN
cana-3200	155	17	of	of	ADP
cana-3200	155	18	the	the	DET
cana-3200	155	19	car	car	NOUN
cana-3200	155	20	such	such	ADJ
cana-3200	155	21	as	as	ADP
cana-3200	155	22	car	car	NOUN
cana-3200	155	23	model	model	NOUN
cana-3200	155	24	,	,	PUNCT
cana-3200	155	25	colour	colour	NOUN
cana-3200	155	26	,	,	PUNCT
cana-3200	155	27	texture	texture	NOUN
cana-3200	155	28	and	and	CCONJ
cana-3200	155	29	number	number	NOUN
cana-3200	155	30	plate	plate	NOUN
cana-3200	155	31	.	.	PUNCT
cana-3200	156	1	this	this	DET
cana-3200	156	2	feature	feature	NOUN
cana-3200	156	3	extraction	extraction	NOUN
cana-3200	156	4	is	be	AUX
cana-3200	156	5	done	do	VERB
cana-3200	156	6	with	with	ADP
cana-3200	156	7	the	the	DET
cana-3200	156	8	user	user	NOUN
cana-3200	156	9	input	input	NOUN
cana-3200	156	10	image	image	NOUN
cana-3200	156	11	also	also	ADV
cana-3200	156	12	.	.	PUNCT
cana-3200	157	1	car	car	NOUN
cana-3200	157	2	models	model	NOUN
cana-3200	157	3	and	and	CCONJ
cana-3200	157	4	colours	colour	NOUN
cana-3200	157	5	are	be	AUX
cana-3200	157	6	extracted	extract	VERB
cana-3200	157	7	using	use	VERB
cana-3200	157	8	the	the	DET
cana-3200	157	9	cnn	cnn	PROPN
cana-3200	157	10	model	model	PROPN
cana-3200	157	11	efficientnet	efficientnet	PROPN
cana-3200	157	12	b1	b1	PROPN
cana-3200	157	13	.	.	PUNCT
cana-3200	158	1	the	the	DET
cana-3200	158	2	cropped	cropped	ADJ
cana-3200	158	3	number	number	NOUN
cana-3200	158	4	plates	plate	NOUN
cana-3200	158	5	are	be	AUX
cana-3200	158	6	passed	pass	VERB
cana-3200	158	7	under	under	ADP
cana-3200	158	8	ocr	ocr	PROPN
cana-3200	158	9	.	.	PUNCT
cana-3200	159	1	4.3.1	4.3.1	NUM
cana-3200	159	2	efficientnet	efficientnet	NOUN
cana-3200	159	3	efficientnet	efficientnet	NOUN
cana-3200	159	4	is	be	AUX
cana-3200	159	5	a	a	DET
cana-3200	159	6	convolution	convolution	NOUN
cana-3200	159	7	neural	neural	ADJ
cana-3200	159	8	network	network	NOUN
cana-3200	159	9	that	that	PRON
cana-3200	159	10	works	work	VERB
cana-3200	159	11	on	on	ADP
cana-3200	159	12	the	the	DET
cana-3200	159	13	concept	concept	NOUN
cana-3200	159	14	of	of	ADP
cana-3200	159	15	compound	compound	NOUN
cana-3200	159	16	scaling	scaling	NOUN
cana-3200	159	17	which	which	PRON
cana-3200	159	18	is	be	AUX
cana-3200	159	19	based	base	VERB
cana-3200	159	20	on	on	ADP
cana-3200	159	21	the	the	DET
cana-3200	159	22	idea	idea	NOUN
cana-3200	159	23	of	of	ADP
cana-3200	159	24	balancing	balance	VERB
cana-3200	159	25	dimensions	dimension	NOUN
cana-3200	159	26	of	of	ADP
cana-3200	159	27	width	width	ADJ
cana-3200	159	28	,	,	PUNCT
cana-3200	159	29	depth	depth	NOUN
cana-3200	159	30	,	,	PUNCT
cana-3200	159	31	and	and	CCONJ
cana-3200	159	32	resolution	resolution	NOUN
cana-3200	159	33	by	by	ADP
cana-3200	159	34	scaling	scale	VERB
cana-3200	159	35	with	with	ADP
cana-3200	159	36	a	a	DET
cana-3200	159	37	constant	constant	ADJ
cana-3200	159	38	ratio	ratio	NOUN
cana-3200	159	39	[	[	X
cana-3200	159	40	17	17	NUM
cana-3200	159	41	]	]	PUNCT
cana-3200	159	42	.	.	PUNCT
cana-3200	160	1	this	this	DET
cana-3200	160	2	capability	capability	NOUN
cana-3200	160	3	allows	allow	VERB
cana-3200	160	4	the	the	DET
cana-3200	160	5	system	system	NOUN
cana-3200	160	6	to	to	PART
cana-3200	160	7	train	train	VERB
cana-3200	160	8	the	the	DET
cana-3200	160	9	model	model	NOUN
cana-3200	160	10	efficiently	efficiently	ADV
cana-3200	160	11	,	,	PUNCT
cana-3200	160	12	minimising	minimise	VERB
cana-3200	160	13	any	any	DET
cana-3200	160	14	additional	additional	ADJ
cana-3200	160	15	loss	loss	NOUN
cana-3200	160	16	during	during	ADP
cana-3200	160	17	the	the	DET
cana-3200	160	18	training	training	NOUN
cana-3200	160	19	process	process	NOUN
cana-3200	160	20	.	.	PUNCT
cana-3200	161	1	our	our	PRON
cana-3200	161	2	dataset	dataset	NOUN
cana-3200	161	3	is	be	AUX
cana-3200	161	4	employed	employ	VERB
cana-3200	161	5	for	for	ADP
cana-3200	161	6	training	training	NOUN
cana-3200	161	7	models	model	NOUN
cana-3200	161	8	specifically	specifically	ADV
cana-3200	161	9	designed	design	VERB
cana-3200	161	10	for	for	ADP
cana-3200	161	11	car	car	NOUN
cana-3200	161	12	colour	colour	NOUN
cana-3200	161	13	and	and	CCONJ
cana-3200	161	14	model	model	NOUN
cana-3200	161	15	classification	classification	NOUN
cana-3200	161	16	.	.	PUNCT
cana-3200	162	1	the	the	DET
cana-3200	162	2	training	training	NOUN
cana-3200	162	3	process	process	NOUN
cana-3200	162	4	involves	involve	VERB
cana-3200	162	5	instructing	instruct	VERB
cana-3200	162	6	the	the	DET
cana-3200	162	7	model	model	NOUN
cana-3200	162	8	to	to	PART
cana-3200	162	9	classify	classify	VERB
cana-3200	162	10	cars	car	NOUN
cana-3200	162	11	into	into	ADP
cana-3200	162	12	distinct	distinct	ADJ
cana-3200	162	13	colour	colour	NOUN
cana-3200	162	14	classes	class	NOUN
cana-3200	162	15	and	and	CCONJ
cana-3200	162	16	model	model	NOUN
cana-3200	162	17	classes	class	NOUN
cana-3200	162	18	.	.	PUNCT
cana-3200	163	1	4.3.2	4.3.2	NUM
cana-3200	163	2	car	car	NOUN
cana-3200	163	3	model	model	NOUN
cana-3200	163	4	detection	detection	NOUN
cana-3200	163	5	the	the	DET
cana-3200	163	6	detection	detection	NOUN
cana-3200	163	7	of	of	ADP
cana-3200	163	8	the	the	DET
cana-3200	163	9	model	model	NOUN
cana-3200	163	10	of	of	ADP
cana-3200	163	11	the	the	DET
cana-3200	163	12	subject	subject	ADJ
cana-3200	163	13	car	car	NOUN
cana-3200	163	14	is	be	AUX
cana-3200	163	15	performed	perform	VERB
cana-3200	163	16	using	use	VERB
cana-3200	163	17	a	a	DET
cana-3200	163	18	custom	custom	ADV
cana-3200	163	19	-	-	PUNCT
cana-3200	163	20	trained	train	VERB
cana-3200	163	21	efficientnet	efficientnet	NOUN
cana-3200	163	22	-	-	PUNCT
cana-3200	163	23	b1	b1	NOUN
cana-3200	163	24	model	model	NOUN
cana-3200	163	25	.	.	PUNCT
cana-3200	164	1	the	the	DET
cana-3200	164	2	dataset	dataset	NOUN
cana-3200	164	3	used	use	VERB
cana-3200	164	4	for	for	ADP
cana-3200	164	5	training	training	NOUN
cana-3200	164	6	purposes	purpose	NOUN
cana-3200	164	7	comprises	comprise	VERB
cana-3200	164	8	two	two	NUM
cana-3200	164	9	popular	popular	ADJ
cana-3200	164	10	car	car	NOUN
cana-3200	164	11	models	model	NOUN
cana-3200	164	12	in	in	ADP
cana-3200	164	13	india	india	PROPN
cana-3200	164	14	,	,	PUNCT
cana-3200	164	15	the	the	DET
cana-3200	164	16	maruti	maruti	PROPN
cana-3200	164	17	suzuki	suzuki	PROPN
cana-3200	164	18	wagonr	wagonr	PROPN
cana-3200	164	19	and	and	CCONJ
cana-3200	164	20	the	the	DET
cana-3200	164	21	maruti	maruti	PROPN
cana-3200	164	22	suzuki	suzuki	PROPN
cana-3200	164	23	swift	swift	PROPN
cana-3200	164	24	.	.	PUNCT
cana-3200	165	1	the	the	DET
cana-3200	165	2	dataset	dataset	NOUN
cana-3200	165	3	consists	consist	VERB
cana-3200	165	4	of	of	ADP
cana-3200	165	5	4000	4000	NUM
cana-3200	165	6	images	image	NOUN
cana-3200	165	7	and	and	CCONJ
cana-3200	165	8	2000	2000	NUM
cana-3200	165	9	images	image	NOUN
cana-3200	165	10	per	per	ADP
cana-3200	165	11	class	class	NOUN
cana-3200	165	12	.	.	PUNCT
cana-3200	166	1	to	to	PART
cana-3200	166	2	perform	perform	VERB
cana-3200	166	3	optimal	optimal	ADJ
cana-3200	166	4	training	training	NOUN
cana-3200	166	5	of	of	ADP
cana-3200	166	6	the	the	DET
cana-3200	166	7	model	model	NOUN
cana-3200	166	8	,	,	PUNCT
cana-3200	166	9	the	the	DET
cana-3200	166	10	dataset	dataset	NOUN
cana-3200	166	11	is	be	AUX
cana-3200	166	12	split	split	VERB
cana-3200	166	13	into	into	ADP
cana-3200	166	14	train	train	NOUN
cana-3200	166	15	and	and	CCONJ
cana-3200	166	16	test	test	NOUN
cana-3200	166	17	sets	set	NOUN
cana-3200	166	18	consisting	consist	VERB
cana-3200	166	19	of	of	ADP
cana-3200	166	20	1600	1600	NUM
cana-3200	166	21	and	and	CCONJ
cana-3200	166	22	400	400	NUM
cana-3200	166	23	images	image	NOUN
cana-3200	166	24	respectively	respectively	ADV
cana-3200	166	25	,	,	PUNCT
cana-3200	166	26	for	for	ADP
cana-3200	166	27	each	each	PRON
cana-3200	166	28	of	of	ADP
cana-3200	166	29	the	the	DET
cana-3200	166	30	two	two	NUM
cana-3200	166	31	classes	class	NOUN
cana-3200	166	32	in	in	ADP
cana-3200	166	33	the	the	DET
cana-3200	166	34	dataset	dataset	NOUN
cana-3200	166	35	.	.	PUNCT
cana-3200	167	1	4.3.3	4.3.3	NUM
cana-3200	167	2	car	car	NOUN
cana-3200	167	3	color	color	NOUN
cana-3200	167	4	detection	detection	NOUN
cana-3200	167	5	the	the	DET
cana-3200	167	6	color	color	NOUN
cana-3200	167	7	of	of	ADP
cana-3200	167	8	the	the	DET
cana-3200	167	9	subject	subject	ADJ
cana-3200	167	10	cars	car	NOUN
cana-3200	167	11	in	in	ADP
cana-3200	167	12	the	the	DET
cana-3200	167	13	cctv	cctv	NOUN
cana-3200	167	14	footage	footage	NOUN
cana-3200	167	15	is	be	AUX
cana-3200	167	16	identified	identify	VERB
cana-3200	167	17	by	by	ADP
cana-3200	167	18	another	another	DET
cana-3200	167	19	efficientnet	efficientnet	NOUN
cana-3200	167	20	-	-	PUNCT
cana-3200	167	21	b1	b1	NOUN
cana-3200	167	22	model	model	NOUN
cana-3200	167	23	trained	train	VERB
cana-3200	167	24	on	on	ADP
cana-3200	167	25	a	a	DET
cana-3200	167	26	dataset	dataset	NOUN
cana-3200	167	27	of	of	ADP
cana-3200	167	28	5280	5280	NUM
cana-3200	167	29	car	car	NOUN
cana-3200	167	30	images	image	NOUN
cana-3200	167	31	,	,	PUNCT
cana-3200	167	32	classified	classify	VERB
cana-3200	167	33	into	into	ADP
cana-3200	167	34	8	8	NUM
cana-3200	167	35	color	color	NOUN
cana-3200	167	36	categories	category	NOUN
cana-3200	167	37	.	.	PUNCT
cana-3200	168	1	the	the	DET
cana-3200	168	2	color	color	NOUN
cana-3200	168	3	classes	class	NOUN
cana-3200	168	4	present	present	ADJ
cana-3200	168	5	in	in	ADP
cana-3200	168	6	the	the	DET
cana-3200	168	7	dataset	dataset	NOUN
cana-3200	168	8	are	be	AUX
cana-3200	168	9	black	black	ADJ
cana-3200	168	10	,	,	PUNCT
cana-3200	168	11	blue	blue	ADJ
cana-3200	168	12	,	,	PUNCT
cana-3200	168	13	brown	brown	ADJ
cana-3200	168	14	,	,	PUNCT
cana-3200	168	15	green	green	ADJ
cana-3200	168	16	,	,	PUNCT
cana-3200	168	17	grey	grey	PROPN
cana-3200	168	18	,	,	PUNCT
cana-3200	168	19	red	red	ADJ
cana-3200	168	20	,	,	PUNCT
cana-3200	168	21	white	white	ADJ
cana-3200	168	22	and	and	CCONJ
cana-3200	168	23	yellow	yellow	ADJ
cana-3200	168	24	.	.	PUNCT
cana-3200	169	1	the	the	DET
cana-3200	169	2	dataset	dataset	NOUN
cana-3200	169	3	is	be	AUX
cana-3200	169	4	split	split	VERB
cana-3200	169	5	into	into	ADP
cana-3200	169	6	train	train	NOUN
cana-3200	169	7	and	and	CCONJ
cana-3200	169	8	test	test	NOUN
cana-3200	169	9	sets	set	NOUN
cana-3200	169	10	containing	contain	VERB
cana-3200	169	11	560	560	NUM
cana-3200	169	12	and	and	CCONJ
cana-3200	169	13	100	100	NUM
cana-3200	169	14	images	image	NOUN
cana-3200	169	15	per	per	ADP
cana-3200	169	16	class	class	NOUN
cana-3200	169	17	respectively	respectively	ADV
cana-3200	169	18	.	.	PUNCT
cana-3200	170	1	4.3.4	4.3.4	NUM
cana-3200	170	2	easy	easy	ADJ
cana-3200	170	3	ocr	ocr	PROPN
cana-3200	170	4	easy	easy	ADJ
cana-3200	170	5	ocr	ocr	PROPN
cana-3200	170	6	is	be	AUX
cana-3200	170	7	a	a	DET
cana-3200	170	8	font	font	NOUN
cana-3200	170	9	-	-	PUNCT
cana-3200	170	10	dependent	dependent	ADJ
cana-3200	170	11	printed	print	VERB
cana-3200	170	12	character	character	NOUN
cana-3200	170	13	reader	reader	NOUN
cana-3200	170	14	based	base	VERB
cana-3200	170	15	on	on	ADP
cana-3200	170	16	a	a	DET
cana-3200	170	17	template	template	NOUN
cana-3200	170	18	-	-	PUNCT
cana-3200	170	19	matching	matching	NOUN
cana-3200	170	20	algorithm	algorithm	NOUN
cana-3200	170	21	.	.	PUNCT
cana-3200	171	1	4.3.5	4.3.5	NUM
cana-3200	171	2	de	de	X
cana-3200	171	3	-	-	VERB
cana-3200	171	4	skewing	skew	VERB
cana-3200	171	5	the	the	DET
cana-3200	171	6	license	license	NOUN
cana-3200	171	7	plate	plate	NOUN
cana-3200	171	8	in	in	ADP
cana-3200	171	9	many	many	ADJ
cana-3200	171	10	cases	case	NOUN
cana-3200	171	11	,	,	PUNCT
cana-3200	171	12	it	it	PRON
cana-3200	171	13	was	be	AUX
cana-3200	171	14	observed	observe	VERB
cana-3200	171	15	that	that	SCONJ
cana-3200	171	16	the	the	DET
cana-3200	171	17	easy	easy	ADJ
cana-3200	171	18	ocr	ocr	PROPN
cana-3200	171	19	gave	give	VERB
cana-3200	171	20	inaccurate	inaccurate	ADJ
cana-3200	171	21	results	result	NOUN
cana-3200	171	22	because	because	SCONJ
cana-3200	171	23	the	the	DET
cana-3200	171	24	licence	licence	NOUN
cana-3200	171	25	plate	plate	NOUN
cana-3200	171	26	was	be	AUX
cana-3200	171	27	captured	capture	VERB
cana-3200	171	28	at	at	ADP
cana-3200	171	29	an	an	DET
cana-3200	171	30	angle	angle	NOUN
cana-3200	171	31	.	.	PUNCT
cana-3200	172	1	to	to	PART
cana-3200	172	2	handle	handle	VERB
cana-3200	172	3	such	such	ADJ
cana-3200	172	4	cases	case	NOUN
cana-3200	172	5	,	,	PUNCT
cana-3200	172	6	the	the	DET
cana-3200	172	7	angle	angle	NOUN
cana-3200	172	8	of	of	ADP
cana-3200	172	9	licence	licence	NOUN
cana-3200	172	10	plate	plate	NOUN
cana-3200	172	11	boundaries	boundary	NOUN
cana-3200	172	12	with	with	ADP
cana-3200	172	13	the	the	DET
cana-3200	172	14	horizontal	horizontal	ADJ
cana-3200	172	15	was	be	AUX
cana-3200	172	16	predicted	predict	VERB
cana-3200	172	17	and	and	CCONJ
cana-3200	172	18	then	then	ADV
cana-3200	172	19	the	the	DET
cana-3200	172	20	image	image	NOUN
cana-3200	172	21	was	be	AUX
cana-3200	172	22	de	de	ADJ
cana-3200	172	23	-	-	ADJ
cana-3200	172	24	skewed	skewed	ADJ
cana-3200	172	25	by	by	ADP
cana-3200	172	26	rotating	rotate	VERB
cana-3200	172	27	it	it	PRON
cana-3200	172	28	.	.	PUNCT
cana-3200	173	1	4.4	4.4	NUM
cana-3200	173	2	tracking	tracking	NOUN
cana-3200	173	3	module	module	NOUN
cana-3200	173	4	figure	figure	NOUN
cana-3200	173	5	4	4	NUM
cana-3200	173	6	is	be	AUX
cana-3200	173	7	considered	consider	VERB
cana-3200	173	8	to	to	PART
cana-3200	173	9	be	be	AUX
cana-3200	173	10	one	one	NUM
cana-3200	173	11	of	of	ADP
cana-3200	173	12	the	the	DET
cana-3200	173	13	most	most	ADV
cana-3200	173	14	important	important	ADJ
cana-3200	173	15	modules	module	NOUN
cana-3200	173	16	as	as	SCONJ
cana-3200	173	17	it	it	PRON
cana-3200	173	18	produces	produce	VERB
cana-3200	173	19	the	the	DET
cana-3200	173	20	tracking	tracking	NOUN
cana-3200	173	21	results	result	NOUN
cana-3200	173	22	that	that	PRON
cana-3200	173	23	help	help	VERB
cana-3200	173	24	the	the	DET
cana-3200	173	25	officials	official	NOUN
cana-3200	173	26	find	find	VERB
cana-3200	173	27	the	the	DET
cana-3200	173	28	stolen	steal	VERB
cana-3200	173	29	vehicle	vehicle	NOUN
cana-3200	173	30	.	.	PUNCT
cana-3200	174	1	the	the	DET
cana-3200	174	2	tracking	tracking	NOUN
cana-3200	174	3	is	be	AUX
cana-3200	174	4	split	split	VERB
cana-3200	174	5	into	into	ADP
cana-3200	174	6	three	three	NUM
cana-3200	174	7	parts	part	NOUN
cana-3200	174	8	,	,	PUNCT
cana-3200	174	9	the	the	DET
cana-3200	174	10	car	car	NOUN
cana-3200	174	11	direction	direction	NOUN
cana-3200	174	12	detection	detection	NOUN
cana-3200	174	13	,	,	PUNCT
cana-3200	174	14	the	the	DET
cana-3200	174	15	next	next	ADJ
cana-3200	174	16	camera	camera	NOUN
cana-3200	174	17	decision	decision	NOUN
cana-3200	174	18	-	-	PUNCT
cana-3200	174	19	making	making	NOUN
cana-3200	174	20	,	,	PUNCT
cana-3200	174	21	and	and	CCONJ
cana-3200	174	22	the	the	DET
cana-3200	174	23	track	track	NOUN
cana-3200	174	24	plotting	plotting	NOUN
cana-3200	174	25	.	.	PUNCT
cana-3200	175	1	communications	communication	NOUN
cana-3200	175	2	on	on	ADP
cana-3200	175	3	applied	apply	VERB
cana-3200	175	4	nonlinear	nonlinear	ADJ
cana-3200	175	5	analysis	analysis	NOUN
cana-3200	175	6	issn	issn	NOUN
cana-3200	175	7	:	:	PUNCT
cana-3200	175	8	1074	1074	NUM
cana-3200	175	9	-	-	PUNCT
cana-3200	175	10	133x	133x	NUM
cana-3200	175	11	vol	vol	NOUN
cana-3200	175	12	32	32	NUM
cana-3200	175	13	no	no	NOUN
cana-3200	175	14	.	.	PUNCT
cana-3200	176	1	5s	5s	NUM
cana-3200	176	2	(	(	PUNCT
cana-3200	176	3	2025	2025	NUM
cana-3200	176	4	)	)	PUNCT
cana-3200	176	5	615	615	NUM
cana-3200	176	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3200	176	7	figure	figure	NOUN
cana-3200	176	8	4	4	NUM
cana-3200	176	9	:	:	PUNCT
cana-3200	176	10	choosing	choose	VERB
cana-3200	176	11	the	the	DET
cana-3200	176	12	next	next	ADJ
cana-3200	176	13	camera	camera	NOUN
cana-3200	176	14	to	to	PART
cana-3200	176	15	scan	scan	VERB
cana-3200	176	16	4.4.1	4.4.1	NUM
cana-3200	176	17	car	car	NOUN
cana-3200	176	18	direction	direction	NOUN
cana-3200	176	19	detection	detection	NOUN
cana-3200	176	20	the	the	DET
cana-3200	176	21	process	process	NOUN
cana-3200	176	22	starts	start	VERB
cana-3200	176	23	by	by	ADP
cana-3200	176	24	scanning	scan	VERB
cana-3200	176	25	through	through	ADP
cana-3200	176	26	the	the	DET
cana-3200	176	27	cctv	cctv	PROPN
cana-3200	176	28	footage	footage	NOUN
cana-3200	176	29	of	of	ADP
cana-3200	176	30	the	the	DET
cana-3200	176	31	nearest	near	ADJ
cana-3200	176	32	camera	camera	NOUN
cana-3200	176	33	from	from	ADP
cana-3200	176	34	the	the	DET
cana-3200	176	35	location	location	NOUN
cana-3200	176	36	of	of	ADP
cana-3200	176	37	the	the	DET
cana-3200	176	38	theft	theft	NOUN
cana-3200	176	39	.	.	PUNCT
cana-3200	177	1	once	once	SCONJ
cana-3200	177	2	the	the	DET
cana-3200	177	3	suspect	suspect	ADJ
cana-3200	177	4	vehicle	vehicle	NOUN
cana-3200	177	5	is	be	AUX
cana-3200	177	6	identified	identify	VERB
cana-3200	177	7	in	in	ADP
cana-3200	177	8	the	the	DET
cana-3200	177	9	footage	footage	NOUN
cana-3200	177	10	,	,	PUNCT
cana-3200	177	11	it	it	PRON
cana-3200	177	12	is	be	AUX
cana-3200	177	13	tracked	track	VERB
cana-3200	177	14	using	use	VERB
cana-3200	177	15	an	an	DET
cana-3200	177	16	object	object	NOUN
cana-3200	177	17	tracking	tracking	NOUN
cana-3200	177	18	algorithm	algorithm	NOUN
cana-3200	177	19	,	,	PUNCT
cana-3200	177	20	‘	'	PUNCT
cana-3200	177	21	deepsort	deepsort	NOUN
cana-3200	177	22	’	'	PUNCT
cana-3200	177	23	,	,	PUNCT
cana-3200	177	24	to	to	PART
cana-3200	177	25	produce	produce	VERB
cana-3200	177	26	a	a	DET
cana-3200	177	27	track	track	NOUN
cana-3200	177	28	of	of	ADP
cana-3200	177	29	the	the	DET
cana-3200	177	30	path	path	NOUN
cana-3200	177	31	travelled	travel	VERB
cana-3200	177	32	by	by	ADP
cana-3200	177	33	the	the	DET
cana-3200	177	34	vehicle	vehicle	NOUN
cana-3200	177	35	as	as	SCONJ
cana-3200	177	36	seen	see	VERB
cana-3200	177	37	by	by	ADP
cana-3200	177	38	the	the	DET
cana-3200	177	39	camera	camera	NOUN
cana-3200	177	40	.	.	PUNCT
cana-3200	178	1	deepsort	deepsort	PROPN
cana-3200	179	1	[	[	X
cana-3200	179	2	18	18	NUM
cana-3200	179	3	]	]	PUNCT
cana-3200	179	4	is	be	AUX
cana-3200	179	5	an	an	DET
cana-3200	179	6	advanced	advanced	ADJ
cana-3200	179	7	algorithm	algorithm	NOUN
cana-3200	179	8	for	for	ADP
cana-3200	179	9	multi	multi	ADJ
cana-3200	179	10	-	-	ADJ
cana-3200	179	11	object	object	ADJ
cana-3200	179	12	tracking	tracking	NOUN
cana-3200	179	13	.	.	PUNCT
cana-3200	180	1	it	it	PRON
cana-3200	180	2	integrates	integrate	VERB
cana-3200	180	3	deep	deep	ADJ
cana-3200	180	4	neural	neural	ADJ
cana-3200	180	5	networks	network	NOUN
cana-3200	180	6	for	for	ADP
cana-3200	180	7	object	object	NOUN
cana-3200	180	8	detection	detection	NOUN
cana-3200	180	9	and	and	CCONJ
cana-3200	180	10	tracking	tracking	NOUN
cana-3200	180	11	,	,	PUNCT
cana-3200	180	12	enhancing	enhance	VERB
cana-3200	180	13	traditional	traditional	ADJ
cana-3200	180	14	sort	sort	NOUN
cana-3200	180	15	(	(	PUNCT
cana-3200	180	16	simple	simple	ADJ
cana-3200	180	17	online	online	ADJ
cana-3200	180	18	and	and	CCONJ
cana-3200	180	19	real	real	ADJ
cana-3200	180	20	-	-	PUNCT
cana-3200	180	21	time	time	NOUN
cana-3200	180	22	tracking	tracking	NOUN
cana-3200	180	23	)	)	PUNCT
cana-3200	180	24	by	by	ADP
cana-3200	180	25	associating	associate	VERB
cana-3200	180	26	detected	detect	VERB
cana-3200	180	27	objects	object	NOUN
cana-3200	180	28	over	over	ADP
cana-3200	180	29	consecutive	consecutive	ADJ
cana-3200	180	30	frames	frame	NOUN
cana-3200	180	31	using	use	VERB
cana-3200	180	32	learned	learn	VERB
cana-3200	180	33	features	feature	NOUN
cana-3200	180	34	.	.	PUNCT
cana-3200	181	1	deepsort	deepsort	NOUN
cana-3200	181	2	excels	excel	NOUN
cana-3200	181	3	in	in	ADP
cana-3200	181	4	crowded	crowded	ADJ
cana-3200	181	5	scenes	scene	NOUN
cana-3200	181	6	and	and	CCONJ
cana-3200	181	7	occlusions	occlusion	NOUN
cana-3200	181	8	,	,	PUNCT
cana-3200	181	9	vital	vital	ADJ
cana-3200	181	10	for	for	ADP
cana-3200	181	11	surveillance	surveillance	NOUN
cana-3200	181	12	and	and	CCONJ
cana-3200	181	13	autonomous	autonomous	ADJ
cana-3200	181	14	systems	system	NOUN
cana-3200	181	15	.	.	PUNCT
cana-3200	182	1	the	the	DET
cana-3200	182	2	deepsort	deepsort	NOUN
cana-3200	182	3	produces	produce	VERB
cana-3200	182	4	a	a	DET
cana-3200	182	5	path	path	NOUN
cana-3200	182	6	for	for	ADP
cana-3200	182	7	every	every	DET
cana-3200	182	8	car	car	NOUN
cana-3200	182	9	detected	detect	VERB
cana-3200	182	10	in	in	ADP
cana-3200	182	11	the	the	DET
cana-3200	182	12	video	video	NOUN
cana-3200	182	13	.	.	PUNCT
cana-3200	183	1	using	use	VERB
cana-3200	183	2	the	the	DET
cana-3200	183	3	extracted	extract	VERB
cana-3200	183	4	features	feature	NOUN
cana-3200	183	5	in	in	ADP
cana-3200	183	6	earlier	early	ADJ
cana-3200	183	7	stages	stage	NOUN
cana-3200	183	8	,	,	PUNCT
cana-3200	183	9	we	we	PRON
cana-3200	183	10	identify	identify	VERB
cana-3200	183	11	the	the	DET
cana-3200	183	12	subject	subject	ADJ
cana-3200	183	13	car	car	NOUN
cana-3200	183	14	and	and	CCONJ
cana-3200	183	15	extract	extract	VERB
cana-3200	183	16	the	the	DET
cana-3200	183	17	tracked	track	VERB
cana-3200	183	18	path	path	NOUN
cana-3200	183	19	coordinates	coordinate	NOUN
cana-3200	183	20	.	.	PUNCT
cana-3200	184	1	these	these	DET
cana-3200	184	2	coordinates	coordinate	NOUN
cana-3200	184	3	are	be	AUX
cana-3200	184	4	used	use	VERB
cana-3200	184	5	to	to	PART
cana-3200	184	6	determine	determine	VERB
cana-3200	184	7	the	the	DET
cana-3200	184	8	direction	direction	NOUN
cana-3200	184	9	the	the	DET
cana-3200	184	10	car	car	NOUN
cana-3200	184	11	moves	move	VERB
cana-3200	184	12	in	in	ADP
cana-3200	184	13	the	the	DET
cana-3200	184	14	video	video	NOUN
cana-3200	184	15	.	.	PUNCT
cana-3200	185	1	the	the	DET
cana-3200	185	2	proposed	propose	VERB
cana-3200	185	3	system	system	NOUN
cana-3200	185	4	uses	use	VERB
cana-3200	185	5	the	the	DET
cana-3200	185	6	first	first	ADJ
cana-3200	185	7	and	and	CCONJ
cana-3200	185	8	last	last	ADJ
cana-3200	185	9	coordinates	coordinate	NOUN
cana-3200	185	10	of	of	ADP
cana-3200	185	11	the	the	DET
cana-3200	185	12	centroid	centroid	NOUN
cana-3200	185	13	of	of	ADP
cana-3200	185	14	the	the	DET
cana-3200	185	15	car	car	NOUN
cana-3200	185	16	bounding	bounding	NOUN
cana-3200	185	17	box	box	NOUN
cana-3200	185	18	and	and	CCONJ
cana-3200	185	19	creates	create	VERB
cana-3200	185	20	a	a	DET
cana-3200	185	21	vector	vector	NOUN
cana-3200	185	22	.	.	PUNCT
cana-3200	186	1	this	this	DET
cana-3200	186	2	vector	vector	NOUN
cana-3200	186	3	is	be	AUX
cana-3200	186	4	compared	compare	VERB
cana-3200	186	5	with	with	ADP
cana-3200	186	6	the	the	DET
cana-3200	186	7	direction	direction	NOUN
cana-3200	186	8	vector	vector	NOUN
cana-3200	186	9	of	of	ADP
cana-3200	186	10	the	the	DET
cana-3200	186	11	field	field	NOUN
cana-3200	186	12	-	-	PUNCT
cana-3200	186	13	of	of	ADP
cana-3200	186	14	-	-	PUNCT
cana-3200	186	15	view	view	NOUN
cana-3200	186	16	of	of	ADP
cana-3200	186	17	the	the	DET
cana-3200	186	18	camera	camera	NOUN
cana-3200	186	19	to	to	PART
cana-3200	186	20	decide	decide	VERB
cana-3200	186	21	whether	whether	SCONJ
cana-3200	186	22	the	the	DET
cana-3200	186	23	car	car	NOUN
cana-3200	186	24	takes	take	VERB
cana-3200	186	25	a	a	DET
cana-3200	186	26	turn	turn	NOUN
cana-3200	186	27	in	in	ADP
cana-3200	186	28	a	a	DET
cana-3200	186	29	specific	specific	ADJ
cana-3200	186	30	direction	direction	NOUN
cana-3200	186	31	or	or	CCONJ
cana-3200	186	32	moves	move	NOUN
cana-3200	186	33	straight	straight	ADJ
cana-3200	186	34	.	.	PUNCT
cana-3200	187	1	4.4.2	4.4.2	NUM
cana-3200	187	2	next	next	ADJ
cana-3200	187	3	camera	camera	NOUN
cana-3200	187	4	to	to	PART
cana-3200	187	5	choose	choose	VERB
cana-3200	187	6	direction	direction	NOUN
cana-3200	187	7	vectors	vector	NOUN
cana-3200	187	8	between	between	ADP
cana-3200	187	9	cameras	camera	NOUN
cana-3200	187	10	(	(	PUNCT
cana-3200	187	11	inter	inter	ADJ
cana-3200	187	12	-	-	ADJ
cana-3200	187	13	camera	camera	NOUN
cana-3200	187	14	vectors	vector	NOUN
cana-3200	187	15	)	)	PUNCT
cana-3200	187	16	are	be	AUX
cana-3200	187	17	created	create	VERB
cana-3200	187	18	beforehand	beforehand	ADV
cana-3200	187	19	using	use	VERB
cana-3200	187	20	the	the	DET
cana-3200	187	21	latitude	latitude	NOUN
cana-3200	187	22	and	and	CCONJ
cana-3200	187	23	longitude	longitude	NOUN
cana-3200	187	24	of	of	ADP
cana-3200	187	25	each	each	DET
cana-3200	187	26	camera	camera	NOUN
cana-3200	187	27	.	.	PUNCT
cana-3200	188	1	for	for	ADP
cana-3200	188	2	each	each	DET
cana-3200	188	3	inter	inter	ADJ
cana-3200	188	4	-	-	ADJ
cana-3200	188	5	camera	camera	NOUN
cana-3200	188	6	vector	vector	NOUN
cana-3200	188	7	between	between	ADP
cana-3200	188	8	the	the	DET
cana-3200	188	9	current	current	ADJ
cana-3200	188	10	camera	camera	NOUN
cana-3200	188	11	and	and	CCONJ
cana-3200	188	12	the	the	DET
cana-3200	188	13	neighbouring	neighbouring	NOUN
cana-3200	188	14	cameras	camera	NOUN
cana-3200	188	15	,	,	PUNCT
cana-3200	188	16	its	its	PRON
cana-3200	188	17	angle	angle	NOUN
cana-3200	188	18	with	with	ADP
cana-3200	188	19	the	the	DET
cana-3200	188	20	direction	direction	NOUN
cana-3200	188	21	vector	vector	NOUN
cana-3200	188	22	of	of	ADP
cana-3200	188	23	the	the	DET
cana-3200	188	24	current	current	ADJ
cana-3200	188	25	camera	camera	NOUN
cana-3200	188	26	is	be	AUX
cana-3200	188	27	found	find	VERB
cana-3200	188	28	.	.	PUNCT
cana-3200	189	1	these	these	DET
cana-3200	189	2	angles	angle	NOUN
cana-3200	189	3	are	be	AUX
cana-3200	189	4	compared	compare	VERB
cana-3200	189	5	with	with	ADP
cana-3200	189	6	the	the	DET
cana-3200	189	7	angle	angle	NOUN
cana-3200	189	8	between	between	ADP
cana-3200	189	9	the	the	DET
cana-3200	189	10	car	car	NOUN
cana-3200	189	11	direction	direction	NOUN
cana-3200	189	12	vector	vector	NOUN
cana-3200	189	13	and	and	CCONJ
cana-3200	189	14	the	the	DET
cana-3200	189	15	field	field	NOUN
cana-3200	189	16	-	-	PUNCT
cana-3200	189	17	of	of	ADP
cana-3200	189	18	-	-	PUNCT
cana-3200	189	19	view	view	NOUN
cana-3200	189	20	vector	vector	NOUN
cana-3200	189	21	of	of	ADP
cana-3200	189	22	the	the	DET
cana-3200	189	23	camera	camera	NOUN
cana-3200	189	24	.	.	PUNCT
cana-3200	190	1	next	next	ADJ
cana-3200	190	2	camera	camera	NOUN
cana-3200	190	3	is	be	AUX
cana-3200	190	4	chosen	choose	VERB
cana-3200	190	5	based	base	VERB
cana-3200	190	6	on	on	ADP
cana-3200	190	7	the	the	DET
cana-3200	190	8	least	least	ADJ
cana-3200	190	9	difference	difference	NOUN
cana-3200	190	10	between	between	ADP
cana-3200	190	11	these	these	DET
cana-3200	190	12	two	two	NUM
cana-3200	190	13	angles	angle	NOUN
cana-3200	190	14	in	in	ADP
cana-3200	190	15	the	the	DET
cana-3200	190	16	appropriate	appropriate	ADJ
cana-3200	190	17	direction	direction	NOUN
cana-3200	190	18	.	.	PUNCT
cana-3200	191	1	communications	communication	NOUN
cana-3200	191	2	on	on	ADP
cana-3200	191	3	applied	apply	VERB
cana-3200	191	4	nonlinear	nonlinear	ADJ
cana-3200	191	5	analysis	analysis	NOUN
cana-3200	191	6	issn	issn	NOUN
cana-3200	191	7	:	:	PUNCT
cana-3200	191	8	1074	1074	NUM
cana-3200	191	9	-	-	PUNCT
cana-3200	191	10	133x	133x	NUM
cana-3200	191	11	vol	vol	NOUN
cana-3200	191	12	32	32	NUM
cana-3200	191	13	no	no	NOUN
cana-3200	191	14	.	.	PUNCT
cana-3200	192	1	5s	5s	NUM
cana-3200	192	2	(	(	PUNCT
cana-3200	192	3	2025	2025	NUM
cana-3200	192	4	)	)	PUNCT
cana-3200	192	5	616	616	NUM
cana-3200	192	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3200	192	7	let	let	VERB
cana-3200	192	8	us	we	PRON
cana-3200	192	9	consider	consider	VERB
cana-3200	192	10	the	the	DET
cana-3200	192	11	following	follow	VERB
cana-3200	192	12	parameters	parameter	NOUN
cana-3200	192	13	:	:	PUNCT
cana-3200	192	14	ci	ci	NOUN
cana-3200	192	15	:	:	PUNCT
cana-3200	192	16	position	position	NOUN
cana-3200	192	17	vector	vector	NOUN
cana-3200	192	18	of	of	ADP
cana-3200	192	19	the	the	DET
cana-3200	192	20	i	i	PROPN
cana-3200	192	21	-	-	PUNCT
cana-3200	192	22	th	th	X
cana-3200	192	23	camera	camera	NOUN
cana-3200	192	24	.	.	PUNCT
cana-3200	193	1	fi	fi	NOUN
cana-3200	193	2	:	:	PUNCT
cana-3200	193	3	field	field	NOUN
cana-3200	193	4	of	of	ADP
cana-3200	193	5	view	view	NOUN
cana-3200	193	6	(	(	PUNCT
cana-3200	193	7	fov	fov	NOUN
cana-3200	193	8	)	)	PUNCT
cana-3200	193	9	vector	vector	NOUN
cana-3200	193	10	of	of	ADP
cana-3200	193	11	the	the	DET
cana-3200	193	12	i	i	PROPN
cana-3200	193	13	-	-	PUNCT
cana-3200	193	14	th	th	X
cana-3200	193	15	camera	camera	NOUN
cana-3200	193	16	.	.	PUNCT
cana-3200	194	1	iij	iij	NOUN
cana-3200	195	1	=	=	NOUN
cana-3200	195	2	cj	cj	PROPN
cana-3200	195	3	ci	ci	PROPN
cana-3200	195	4	:	:	PUNCT
cana-3200	195	5	the	the	DET
cana-3200	195	6	inter	inter	ADJ
cana-3200	195	7	-	-	ADJ
cana-3200	195	8	camera	camera	NOUN
cana-3200	195	9	vector	vector	NOUN
cana-3200	195	10	between	between	ADP
cana-3200	195	11	camera	camera	NOUN
cana-3200	195	12	i	i	PROPN
cana-3200	195	13	and	and	CCONJ
cana-3200	195	14	camera	camera	NOUN
cana-3200	195	15	j.	j.	PROPN
cana-3200	195	16	pstart	pstart	PROPN
cana-3200	195	17	:	:	PUNCT
cana-3200	195	18	the	the	DET
cana-3200	195	19	initial	initial	ADJ
cana-3200	195	20	position	position	NOUN
cana-3200	195	21	of	of	ADP
cana-3200	195	22	the	the	DET
cana-3200	195	23	car	car	NOUN
cana-3200	195	24	.	.	PUNCT
cana-3200	196	1	pend	pend	PROPN
cana-3200	196	2	:	:	PUNCT
cana-3200	196	3	the	the	DET
cana-3200	196	4	final	final	ADJ
cana-3200	196	5	position	position	NOUN
cana-3200	196	6	of	of	ADP
cana-3200	196	7	the	the	DET
cana-3200	196	8	car	car	NOUN
cana-3200	196	9	.	.	PUNCT
cana-3200	197	1	vcar	vcar	NOUN
cana-3200	197	2	=	=	PUNCT
cana-3200	197	3	pend	pend	PROPN
cana-3200	197	4	pstart	pstart	NOUN
cana-3200	197	5	:	:	PUNCT
cana-3200	197	6	car	car	NOUN
cana-3200	197	7	movement	movement	PROPN
cana-3200	197	8	vector	vector	PROPN
cana-3200	197	9	.	.	PUNCT
cana-3200	198	1	:	:	PUNCT
cana-3200	198	2	the	the	DET
cana-3200	198	3	angle	angle	NOUN
cana-3200	198	4	between	between	ADP
cana-3200	198	5	fov	fov	NOUN
cana-3200	198	6	and	and	CCONJ
cana-3200	198	7	car	car	NOUN
cana-3200	198	8	movement	movement	NOUN
cana-3200	198	9	vector	vector	PROPN
cana-3200	198	10	.	.	PUNCT
cana-3200	199	1	:	:	PUNCT
cana-3200	199	2	the	the	DET
cana-3200	199	3	angle	angle	NOUN
cana-3200	199	4	between	between	ADP
cana-3200	199	5	fov	fov	PROPN
cana-3200	199	6	and	and	CCONJ
cana-3200	199	7	inter	inter	ADJ
cana-3200	199	8	camera	camera	NOUN
cana-3200	199	9	vector	vector	NOUN
cana-3200	199	10	for	for	ADP
cana-3200	199	11	each	each	DET
cana-3200	199	12	camera	camera	NOUN
cana-3200	199	13	j.	j.	PROPN
cana-3200	199	14	j	j	PROPN
cana-3200	200	1	*	*	PROPN
cana-3200	200	2	:	:	PUNCT
cana-3200	200	3	next	next	ADJ
cana-3200	200	4	camera	camera	NOUN
cana-3200	200	5	to	to	PART
cana-3200	200	6	scan	scan	VERB
cana-3200	200	7	through	through	ADP
cana-3200	200	8	.	.	PUNCT
cana-3200	201	1	therefore	therefore	ADV
cana-3200	201	2	the	the	DET
cana-3200	201	3	next	next	ADJ
cana-3200	201	4	camera	camera	NOUN
cana-3200	201	5	is	be	AUX
cana-3200	201	6	chosen	choose	VERB
cana-3200	201	7	using	use	VERB
cana-3200	201	8	the	the	DET
cana-3200	201	9	equation	equation	NOUN
cana-3200	201	10	:	:	PUNCT
cana-3200	201	11	j	j	X
cana-3200	201	12	*	*	PUNCT
cana-3200	201	13	=	=	PUNCT
cana-3200	201	14	arg	arg	NOUN
cana-3200	201	15	min(|α	min(|α	NOUN
cana-3200	201	16	βij|	βij|	NOUN
cana-3200	201	17	)	)	PUNCT
cana-3200	201	18	subject	subject	NOUN
cana-3200	201	19	to	to	ADP
cana-3200	201	20	:	:	PUNCT
cana-3200	201	21	vcar	vcar	VERB
cana-3200	201	22	⋅	⋅	PROPN
cana-3200	201	23	iij	iij	NOUN
cana-3200	201	24	>	>	X
cana-3200	201	25	0	0	NUM
cana-3200	202	1	4.4.3	4.4.3	NUM
cana-3200	202	2	track	track	NOUN
cana-3200	202	3	plotting	plot	VERB
cana-3200	202	4	the	the	DET
cana-3200	202	5	above	above	ADJ
cana-3200	202	6	process	process	NOUN
cana-3200	202	7	is	be	AUX
cana-3200	202	8	applied	apply	VERB
cana-3200	202	9	to	to	ADP
cana-3200	202	10	subsequent	subsequent	ADJ
cana-3200	202	11	cameras	camera	NOUN
cana-3200	202	12	to	to	PART
cana-3200	202	13	track	track	VERB
cana-3200	202	14	the	the	DET
cana-3200	202	15	car	car	NOUN
cana-3200	202	16	as	as	ADV
cana-3200	202	17	far	far	ADV
cana-3200	202	18	as	as	ADP
cana-3200	202	19	possible	possible	ADJ
cana-3200	202	20	in	in	ADP
cana-3200	202	21	the	the	DET
cana-3200	202	22	cctv	cctv	PROPN
cana-3200	202	23	network	network	NOUN
cana-3200	202	24	.	.	PUNCT
cana-3200	203	1	finally	finally	ADV
cana-3200	203	2	,	,	PUNCT
cana-3200	203	3	the	the	DET
cana-3200	203	4	track	track	NOUN
cana-3200	203	5	is	be	AUX
cana-3200	203	6	created	create	VERB
cana-3200	203	7	using	use	VERB
cana-3200	203	8	the	the	DET
cana-3200	203	9	geolocations	geolocation	NOUN
cana-3200	203	10	of	of	ADP
cana-3200	203	11	each	each	DET
cana-3200	203	12	camera	camera	NOUN
cana-3200	203	13	that	that	PRON
cana-3200	203	14	tracked	track	VERB
cana-3200	203	15	the	the	DET
cana-3200	203	16	subject	subject	ADJ
cana-3200	203	17	car	car	NOUN
cana-3200	203	18	to	to	PART
cana-3200	203	19	produce	produce	VERB
cana-3200	203	20	a	a	DET
cana-3200	203	21	complete	complete	ADJ
cana-3200	203	22	route	route	NOUN
cana-3200	203	23	map	map	NOUN
cana-3200	203	24	of	of	ADP
cana-3200	203	25	the	the	DET
cana-3200	203	26	path	path	NOUN
cana-3200	203	27	taken	take	VERB
cana-3200	203	28	by	by	ADP
cana-3200	203	29	the	the	DET
cana-3200	203	30	car	car	NOUN
cana-3200	203	31	.	.	PUNCT
cana-3200	204	1	this	this	DET
cana-3200	204	2	route	route	NOUN
cana-3200	204	3	is	be	AUX
cana-3200	204	4	plotted	plot	VERB
cana-3200	204	5	using	use	VERB
cana-3200	204	6	map	map	NOUN
cana-3200	204	7	apis	apis	ADJ
cana-3200	204	8	like	like	ADP
cana-3200	204	9	google	google	PROPN
cana-3200	204	10	maps	map	NOUN
cana-3200	204	11	.	.	PUNCT
cana-3200	205	1	5	5	X
cana-3200	205	2	.	.	X
cana-3200	205	3	results	result	NOUN
cana-3200	205	4	and	and	CCONJ
cana-3200	205	5	discussion	discussion	VERB
cana-3200	205	6	the	the	DET
cana-3200	205	7	intermediary	intermediary	ADJ
cana-3200	205	8	results	result	NOUN
cana-3200	205	9	of	of	ADP
cana-3200	205	10	the	the	DET
cana-3200	205	11	proposed	propose	VERB
cana-3200	205	12	system	system	NOUN
cana-3200	205	13	are	be	AUX
cana-3200	205	14	mentioned	mention	VERB
cana-3200	205	15	below	below	ADV
cana-3200	205	16	in	in	ADP
cana-3200	205	17	figures	figure	NOUN
cana-3200	205	18	(	(	PUNCT
cana-3200	205	19	5,6,7,9,11,12	5,6,7,9,11,12	PROPN
cana-3200	205	20	)	)	PUNCT
cana-3200	205	21	.	.	PUNCT
cana-3200	206	1	figure	figure	NOUN
cana-3200	206	2	5	5	NUM
cana-3200	206	3	shows	show	VERB
cana-3200	206	4	the	the	DET
cana-3200	206	5	frame	frame	NOUN
cana-3200	206	6	extracted	extract	VERB
cana-3200	206	7	from	from	ADP
cana-3200	206	8	the	the	DET
cana-3200	206	9	cctv	cctv	PROPN
cana-3200	206	10	footage	footage	NOUN
cana-3200	206	11	and	and	CCONJ
cana-3200	206	12	the	the	DET
cana-3200	206	13	cropped	cropped	ADJ
cana-3200	206	14	image	image	NOUN
cana-3200	206	15	of	of	ADP
cana-3200	206	16	the	the	DET
cana-3200	206	17	detected	detect	VERB
cana-3200	206	18	car	car	NOUN
cana-3200	206	19	.	.	PUNCT
cana-3200	207	1	communications	communication	NOUN
cana-3200	207	2	on	on	ADP
cana-3200	207	3	applied	apply	VERB
cana-3200	207	4	nonlinear	nonlinear	ADJ
cana-3200	207	5	analysis	analysis	NOUN
cana-3200	207	6	issn	issn	NOUN
cana-3200	207	7	:	:	PUNCT
cana-3200	207	8	1074	1074	NUM
cana-3200	207	9	-	-	PUNCT
cana-3200	207	10	133x	133x	NUM
cana-3200	207	11	vol	vol	NOUN
cana-3200	207	12	32	32	NUM
cana-3200	207	13	no	no	NOUN
cana-3200	207	14	.	.	PUNCT
cana-3200	208	1	5s	5s	NUM
cana-3200	208	2	(	(	PUNCT
cana-3200	208	3	2025	2025	NUM
cana-3200	208	4	)	)	PUNCT
cana-3200	208	5	617	617	NUM
cana-3200	208	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3200	208	7	figure	figure	NOUN
cana-3200	208	8	5	5	NUM
cana-3200	208	9	:	:	PUNCT
cana-3200	208	10	video	video	NOUN
cana-3200	208	11	frame	frame	NOUN
cana-3200	208	12	and	and	CCONJ
cana-3200	208	13	cropped	cropped	ADJ
cana-3200	208	14	image	image	NOUN
cana-3200	208	15	of	of	ADP
cana-3200	208	16	the	the	DET
cana-3200	208	17	detected	detect	VERB
cana-3200	208	18	car	car	NOUN
cana-3200	208	19	from	from	ADP
cana-3200	208	20	the	the	DET
cana-3200	208	21	input	input	NOUN
cana-3200	208	22	frame	frame	NOUN
cana-3200	208	23	figure	figure	NOUN
cana-3200	208	24	6	6	NUM
cana-3200	208	25	shows	show	VERB
cana-3200	208	26	the	the	DET
cana-3200	208	27	cropped	cropped	ADJ
cana-3200	208	28	number	number	NOUN
cana-3200	208	29	plate	plate	NOUN
cana-3200	208	30	image	image	NOUN
cana-3200	208	31	from	from	ADP
cana-3200	208	32	the	the	DET
cana-3200	208	33	originally	originally	ADV
cana-3200	208	34	cropped	crop	VERB
cana-3200	208	35	car	car	NOUN
cana-3200	208	36	image	image	NOUN
cana-3200	208	37	.	.	PUNCT
cana-3200	209	1	figure	figure	NOUN
cana-3200	209	2	6	6	NUM
cana-3200	209	3	:	:	PUNCT
cana-3200	209	4	cropped	cropped	ADJ
cana-3200	209	5	number	number	NOUN
cana-3200	209	6	plate	plate	NOUN
cana-3200	209	7	image	image	NOUN
cana-3200	209	8	from	from	ADP
cana-3200	209	9	cropped	cropped	ADJ
cana-3200	209	10	car	car	NOUN
cana-3200	209	11	image	image	NOUN
cana-3200	209	12	figure	figure	NOUN
cana-3200	209	13	7	7	NUM
cana-3200	209	14	shows	show	VERB
cana-3200	209	15	the	the	DET
cana-3200	209	16	results	result	NOUN
cana-3200	209	17	of	of	ADP
cana-3200	209	18	ocr	ocr	PROPN
cana-3200	209	19	performed	perform	VERB
cana-3200	209	20	on	on	ADP
cana-3200	209	21	the	the	DET
cana-3200	209	22	cropped	crop	VERB
cana-3200	209	23	number	number	NOUN
cana-3200	209	24	plate	plate	NOUN
cana-3200	209	25	image	image	NOUN
cana-3200	209	26	.	.	PUNCT
cana-3200	210	1	the	the	DET
cana-3200	210	2	results	result	NOUN
cana-3200	210	3	of	of	ADP
cana-3200	210	4	ocr	ocr	NOUN
cana-3200	210	5	show	show	VERB
cana-3200	210	6	significant	significant	ADJ
cana-3200	210	7	improvement	improvement	NOUN
cana-3200	210	8	after	after	ADP
cana-3200	210	9	deskewing	deskewe	VERB
cana-3200	210	10	the	the	DET
cana-3200	210	11	image	image	NOUN
cana-3200	210	12	.	.	PUNCT
cana-3200	211	1	the	the	DET
cana-3200	211	2	skewed	skewed	ADJ
cana-3200	211	3	images	image	NOUN
cana-3200	211	4	had	have	AUX
cana-3200	211	5	shown	show	VERB
cana-3200	211	6	the	the	DET
cana-3200	211	7	nature	nature	NOUN
cana-3200	211	8	of	of	ADP
cana-3200	211	9	not	not	PART
cana-3200	211	10	detecting	detect	VERB
cana-3200	211	11	the	the	DET
cana-3200	211	12	number	number	NOUN
cana-3200	211	13	plate	plate	NOUN
cana-3200	211	14	correctly	correctly	ADV
cana-3200	211	15	,	,	PUNCT
cana-3200	211	16	as	as	SCONJ
cana-3200	211	17	in	in	ADP
cana-3200	211	18	this	this	DET
cana-3200	211	19	example	example	NOUN
cana-3200	211	20	the	the	DET
cana-3200	211	21	skewed	skewed	ADJ
cana-3200	211	22	image	image	NOUN
cana-3200	211	23	had	have	VERB
cana-3200	211	24	output	output	NOUN
cana-3200	211	25	as	as	ADP
cana-3200	211	26	‘	'	PUNCT
cana-3200	211	27	lcdt	lcdt	ADJ
cana-3200	211	28	’	'	PUNCT
cana-3200	211	29	which	which	PRON
cana-3200	211	30	is	be	AUX
cana-3200	211	31	meaningless	meaningless	ADJ
cana-3200	211	32	.	.	PUNCT
cana-3200	212	1	instead	instead	ADV
cana-3200	212	2	just	just	ADV
cana-3200	212	3	by	by	ADP
cana-3200	212	4	deskewing	deskewe	VERB
cana-3200	212	5	the	the	DET
cana-3200	212	6	same	same	ADJ
cana-3200	212	7	image	image	NOUN
cana-3200	212	8	,	,	PUNCT
cana-3200	212	9	we	we	PRON
cana-3200	212	10	are	be	AUX
cana-3200	212	11	able	able	ADJ
cana-3200	212	12	to	to	PART
cana-3200	212	13	improve	improve	VERB
cana-3200	212	14	the	the	DET
cana-3200	212	15	accuracy	accuracy	NOUN
cana-3200	212	16	up	up	ADP
cana-3200	212	17	to	to	PART
cana-3200	212	18	95	95	NUM
cana-3200	212	19	%	%	NOUN
cana-3200	212	20	.	.	PUNCT
cana-3200	213	1	figure	figure	VERB
cana-3200	213	2	7	7	NUM
cana-3200	213	3	:	:	PUNCT
cana-3200	213	4	ocr	ocr	ADJ
cana-3200	213	5	result	result	NOUN
cana-3200	213	6	on	on	ADP
cana-3200	213	7	cropped	cropped	ADJ
cana-3200	213	8	number	number	NOUN
cana-3200	213	9	plate	plate	NOUN
cana-3200	213	10	image	image	NOUN
cana-3200	213	11	(	(	PUNCT
cana-3200	213	12	before	before	ADP
cana-3200	213	13	and	and	CCONJ
cana-3200	213	14	after	after	ADP
cana-3200	213	15	deskewing	deskewe	VERB
cana-3200	213	16	)	)	PUNCT
cana-3200	213	17	figure	figure	NOUN
cana-3200	213	18	8	8	NUM
cana-3200	213	19	shows	show	VERB
cana-3200	213	20	the	the	DET
cana-3200	213	21	training	training	NOUN
cana-3200	213	22	and	and	CCONJ
cana-3200	213	23	validation	validation	NOUN
cana-3200	213	24	results	result	NOUN
cana-3200	213	25	of	of	ADP
cana-3200	213	26	the	the	DET
cana-3200	213	27	efficientnet	efficientnet	NOUN
cana-3200	213	28	-	-	PUNCT
cana-3200	213	29	b1	b1	NOUN
cana-3200	213	30	model	model	NOUN
cana-3200	213	31	trained	train	VERB
cana-3200	213	32	on	on	ADP
cana-3200	213	33	a	a	DET
cana-3200	213	34	dataset	dataset	NOUN
cana-3200	213	35	containing	contain	VERB
cana-3200	213	36	4000	4000	NUM
cana-3200	213	37	images	image	NOUN
cana-3200	213	38	for	for	ADP
cana-3200	213	39	2	2	NUM
cana-3200	213	40	cars	car	NOUN
cana-3200	213	41	(	(	PUNCT
cana-3200	213	42	swift	swift	ADJ
cana-3200	213	43	and	and	CCONJ
cana-3200	213	44	wagnor	wagnor	NOUN
cana-3200	213	45	)	)	PUNCT
cana-3200	213	46	.	.	PUNCT
cana-3200	214	1	the	the	DET
cana-3200	214	2	graphs	graph	NOUN
cana-3200	214	3	display	display	VERB
cana-3200	214	4	training	training	NOUN
cana-3200	214	5	and	and	CCONJ
cana-3200	214	6	validation	validation	NOUN
cana-3200	214	7	accuracies	accuracy	NOUN
cana-3200	214	8	of	of	ADP
cana-3200	214	9	above	above	ADP
cana-3200	214	10	0.9	0.9	NUM
cana-3200	214	11	,	,	PUNCT
cana-3200	214	12	with	with	ADP
cana-3200	214	13	a	a	DET
cana-3200	214	14	low	low	ADJ
cana-3200	214	15	training	training	NOUN
cana-3200	214	16	and	and	CCONJ
cana-3200	214	17	validation	validation	NOUN
cana-3200	214	18	loss	loss	NOUN
cana-3200	214	19	of	of	ADP
cana-3200	214	20	less	less	ADJ
cana-3200	214	21	than	than	ADP
cana-3200	214	22	0.2	0.2	NUM
cana-3200	214	23	.	.	PUNCT
cana-3200	215	1	this	this	PRON
cana-3200	215	2	ensures	ensure	VERB
cana-3200	215	3	good	good	ADJ
cana-3200	215	4	model	model	NOUN
cana-3200	215	5	training	training	NOUN
cana-3200	215	6	for	for	ADP
cana-3200	215	7	predicting	predict	VERB
cana-3200	215	8	car	car	NOUN
cana-3200	215	9	models	model	NOUN
cana-3200	215	10	.	.	PUNCT
cana-3200	216	1	communications	communication	NOUN
cana-3200	216	2	on	on	ADP
cana-3200	216	3	applied	apply	VERB
cana-3200	216	4	nonlinear	nonlinear	ADJ
cana-3200	216	5	analysis	analysis	NOUN
cana-3200	216	6	issn	issn	NOUN
cana-3200	216	7	:	:	PUNCT
cana-3200	216	8	1074	1074	NUM
cana-3200	216	9	-	-	PUNCT
cana-3200	216	10	133x	133x	NUM
cana-3200	216	11	vol	vol	NOUN
cana-3200	216	12	32	32	NUM
cana-3200	216	13	no	no	NOUN
cana-3200	216	14	.	.	PUNCT
cana-3200	217	1	5s	5s	NUM
cana-3200	217	2	(	(	PUNCT
cana-3200	217	3	2025	2025	NUM
cana-3200	217	4	)	)	PUNCT
cana-3200	217	5	618	618	NUM
cana-3200	218	1	https://internationalpubls.com	https://internationalpubls.com	X
cana-3200	218	2	figure	figure	NOUN
cana-3200	218	3	8	8	NUM
cana-3200	218	4	:	:	PUNCT
cana-3200	218	5	training	training	NOUN
cana-3200	218	6	and	and	CCONJ
cana-3200	218	7	validation	validation	NOUN
cana-3200	218	8	results	result	NOUN
cana-3200	218	9	for	for	ADP
cana-3200	218	10	car	car	NOUN
cana-3200	218	11	model	model	NOUN
cana-3200	218	12	prediction	prediction	NOUN
cana-3200	218	13	model	model	NOUN
cana-3200	218	14	.	.	PUNCT
cana-3200	219	1	figure	figure	NOUN
cana-3200	219	2	9	9	NUM
cana-3200	219	3	showcases	showcase	VERB
cana-3200	219	4	the	the	DET
cana-3200	219	5	prediction	prediction	NOUN
cana-3200	219	6	of	of	ADP
cana-3200	219	7	the	the	DET
cana-3200	219	8	car	car	NOUN
cana-3200	219	9	model	model	NOUN
cana-3200	219	10	given	give	VERB
cana-3200	219	11	by	by	ADP
cana-3200	219	12	our	our	PRON
cana-3200	219	13	model	model	NOUN
cana-3200	219	14	on	on	ADP
cana-3200	219	15	unseen	unseen	ADJ
cana-3200	219	16	images	image	NOUN
cana-3200	219	17	.	.	PUNCT
cana-3200	220	1	figure	figure	NOUN
cana-3200	220	2	9	9	NUM
cana-3200	220	3	:	:	PUNCT
cana-3200	220	4	results	result	NOUN
cana-3200	220	5	of	of	ADP
cana-3200	220	6	car	car	NOUN
cana-3200	220	7	model	model	NOUN
cana-3200	220	8	recognition	recognition	NOUN
cana-3200	220	9	figure	figure	NOUN
cana-3200	220	10	10	10	NUM
cana-3200	220	11	shows	show	VERB
cana-3200	220	12	the	the	DET
cana-3200	220	13	training	training	NOUN
cana-3200	220	14	and	and	CCONJ
cana-3200	220	15	validation	validation	NOUN
cana-3200	220	16	results	result	NOUN
cana-3200	220	17	of	of	ADP
cana-3200	220	18	the	the	DET
cana-3200	220	19	efficientnet	efficientnet	NOUN
cana-3200	220	20	-	-	PUNCT
cana-3200	220	21	b1	b1	NOUN
cana-3200	220	22	model	model	NOUN
cana-3200	220	23	trained	train	VERB
cana-3200	220	24	on	on	ADP
cana-3200	220	25	a	a	DET
cana-3200	220	26	dataset	dataset	NOUN
cana-3200	220	27	containing	contain	VERB
cana-3200	220	28	5280	5280	NUM
cana-3200	220	29	images	image	NOUN
cana-3200	220	30	for	for	ADP
cana-3200	220	31	8	8	NUM
cana-3200	220	32	cars	car	NOUN
cana-3200	220	33	'	'	PART
cana-3200	220	34	color	color	NOUN
cana-3200	220	35	classes	class	NOUN
cana-3200	220	36	(	(	PUNCT
cana-3200	220	37	black	black	ADJ
cana-3200	220	38	,	,	PUNCT
cana-3200	220	39	blue	blue	ADJ
cana-3200	220	40	,	,	PUNCT
cana-3200	220	41	brown	brown	ADJ
cana-3200	220	42	,	,	PUNCT
cana-3200	220	43	grey	grey	ADJ
cana-3200	220	44	,	,	PUNCT
cana-3200	220	45	green	green	ADJ
cana-3200	220	46	,	,	PUNCT
cana-3200	220	47	red	red	ADJ
cana-3200	220	48	,	,	PUNCT
cana-3200	220	49	white	white	ADJ
cana-3200	220	50	,	,	PUNCT
cana-3200	220	51	yellow	yellow	ADJ
cana-3200	220	52	)	)	PUNCT
cana-3200	220	53	.	.	PUNCT
cana-3200	221	1	the	the	DET
cana-3200	221	2	graphs	graph	NOUN
cana-3200	221	3	display	display	VERB
cana-3200	221	4	training	training	NOUN
cana-3200	221	5	and	and	CCONJ
cana-3200	221	6	validation	validation	NOUN
cana-3200	221	7	accuracies	accuracy	NOUN
cana-3200	221	8	of	of	ADP
cana-3200	221	9	almost	almost	ADV
cana-3200	221	10	0.9	0.9	NUM
cana-3200	221	11	,	,	PUNCT
cana-3200	221	12	with	with	ADP
cana-3200	221	13	a	a	DET
cana-3200	221	14	low	low	ADJ
cana-3200	221	15	training	training	NOUN
cana-3200	221	16	and	and	CCONJ
cana-3200	221	17	validation	validation	NOUN
cana-3200	221	18	loss	loss	NOUN
cana-3200	221	19	of	of	ADP
cana-3200	221	20	less	less	ADJ
cana-3200	221	21	than	than	ADP
cana-3200	221	22	0.5	0.5	NUM
cana-3200	221	23	.	.	PUNCT
cana-3200	222	1	this	this	PRON
cana-3200	222	2	ensures	ensure	VERB
cana-3200	222	3	good	good	ADJ
cana-3200	222	4	model	model	NOUN
cana-3200	222	5	training	training	NOUN
cana-3200	222	6	for	for	ADP
cana-3200	222	7	predicting	predict	VERB
cana-3200	222	8	car	car	NOUN
cana-3200	222	9	models	model	NOUN
cana-3200	222	10	.	.	PUNCT
cana-3200	223	1	figure	figure	VERB
cana-3200	223	2	10	10	NUM
cana-3200	223	3	:	:	PUNCT
cana-3200	223	4	training	training	NOUN
cana-3200	223	5	and	and	CCONJ
cana-3200	223	6	validation	validation	NOUN
cana-3200	223	7	results	result	NOUN
cana-3200	223	8	for	for	ADP
cana-3200	223	9	car	car	NOUN
cana-3200	223	10	color	color	NOUN
cana-3200	223	11	recognition	recognition	NOUN
cana-3200	223	12	model	model	NOUN
cana-3200	223	13	.	.	PUNCT
cana-3200	224	1	communications	communication	NOUN
cana-3200	224	2	on	on	ADP
cana-3200	224	3	applied	apply	VERB
cana-3200	224	4	nonlinear	nonlinear	ADJ
cana-3200	224	5	analysis	analysis	NOUN
cana-3200	224	6	issn	issn	NOUN
cana-3200	224	7	:	:	PUNCT
cana-3200	224	8	1074	1074	NUM
cana-3200	224	9	-	-	PUNCT
cana-3200	224	10	133x	133x	NUM
cana-3200	224	11	vol	vol	NOUN
cana-3200	224	12	32	32	NUM
cana-3200	224	13	no	no	NOUN
cana-3200	224	14	.	.	PUNCT
cana-3200	225	1	5s	5s	NUM
cana-3200	225	2	(	(	PUNCT
cana-3200	225	3	2025	2025	NUM
cana-3200	225	4	)	)	PUNCT
cana-3200	225	5	619	619	NUM
cana-3200	226	1	https://internationalpubls.com	https://internationalpubls.com	X
cana-3200	226	2	figure	figure	VERB
cana-3200	226	3	11	11	NUM
cana-3200	226	4	showcases	showcase	VERB
cana-3200	226	5	the	the	DET
cana-3200	226	6	prediction	prediction	NOUN
cana-3200	226	7	of	of	ADP
cana-3200	226	8	the	the	DET
cana-3200	226	9	car	car	NOUN
cana-3200	226	10	color	color	NOUN
cana-3200	226	11	given	give	VERB
cana-3200	226	12	by	by	ADP
cana-3200	226	13	our	our	PRON
cana-3200	226	14	model	model	NOUN
cana-3200	226	15	on	on	ADP
cana-3200	226	16	new	new	ADJ
cana-3200	226	17	images	image	NOUN
cana-3200	226	18	.	.	PUNCT
cana-3200	227	1	figure	figure	VERB
cana-3200	227	2	11	11	NUM
cana-3200	227	3	:	:	PUNCT
cana-3200	227	4	results	result	NOUN
cana-3200	227	5	of	of	ADP
cana-3200	227	6	car	car	NOUN
cana-3200	227	7	color	color	NOUN
cana-3200	227	8	recognition	recognition	NOUN
cana-3200	227	9	figure	figure	NOUN
cana-3200	227	10	12	12	NUM
cana-3200	227	11	shows	show	VERB
cana-3200	227	12	the	the	DET
cana-3200	227	13	application	application	NOUN
cana-3200	227	14	of	of	ADP
cana-3200	227	15	the	the	DET
cana-3200	227	16	deepsort	deepsort	NOUN
cana-3200	227	17	algorithm	algorithm	NOUN
cana-3200	227	18	on	on	ADP
cana-3200	227	19	the	the	DET
cana-3200	227	20	video	video	NOUN
cana-3200	227	21	extracted	extract	VERB
cana-3200	227	22	from	from	ADP
cana-3200	227	23	cctv	cctv	PROPN
cana-3200	227	24	footage	footage	NOUN
cana-3200	227	25	.	.	PUNCT
cana-3200	228	1	the	the	DET
cana-3200	228	2	result	result	NOUN
cana-3200	228	3	shows	show	VERB
cana-3200	228	4	the	the	DET
cana-3200	228	5	path	path	NOUN
cana-3200	228	6	,	,	PUNCT
cana-3200	228	7	as	as	SCONJ
cana-3200	228	8	tracked	track	VERB
cana-3200	228	9	by	by	ADP
cana-3200	228	10	the	the	DET
cana-3200	228	11	algorithm	algorithm	NOUN
cana-3200	228	12	,	,	PUNCT
cana-3200	228	13	taken	take	VERB
cana-3200	228	14	by	by	ADP
cana-3200	228	15	the	the	DET
cana-3200	228	16	car	car	NOUN
cana-3200	228	17	under	under	ADP
cana-3200	228	18	observation	observation	NOUN
cana-3200	228	19	as	as	SCONJ
cana-3200	228	20	seen	see	VERB
cana-3200	228	21	in	in	ADP
cana-3200	228	22	the	the	DET
cana-3200	228	23	video	video	NOUN
cana-3200	228	24	.	.	PUNCT
cana-3200	229	1	figure	figure	NOUN
cana-3200	229	2	12	12	NUM
cana-3200	229	3	:	:	PUNCT
cana-3200	229	4	tracking	tracking	NOUN
cana-3200	229	5	results	result	NOUN
cana-3200	229	6	of	of	ADP
cana-3200	229	7	deepsort	deepsort	NOUN
cana-3200	229	8	figure	figure	NOUN
cana-3200	229	9	13	13	NUM
cana-3200	229	10	shows	show	VERB
cana-3200	229	11	a	a	DET
cana-3200	229	12	map	map	NOUN
cana-3200	229	13	of	of	ADP
cana-3200	229	14	our	our	PRON
cana-3200	229	15	college	college	NOUN
cana-3200	229	16	campus	campus	NOUN
cana-3200	229	17	,	,	PUNCT
cana-3200	229	18	illustrating	illustrate	VERB
cana-3200	229	19	two	two	NUM
cana-3200	229	20	different	different	ADJ
cana-3200	229	21	paths	path	NOUN
cana-3200	229	22	:	:	PUNCT
cana-3200	229	23	the	the	DET
cana-3200	229	24	red	red	ADJ
cana-3200	229	25	line	line	NOUN
cana-3200	229	26	represents	represent	VERB
cana-3200	229	27	the	the	DET
cana-3200	229	28	predicted	predict	VERB
cana-3200	229	29	path	path	NOUN
cana-3200	229	30	by	by	ADP
cana-3200	229	31	the	the	DET
cana-3200	229	32	system	system	NOUN
cana-3200	229	33	,	,	PUNCT
cana-3200	229	34	while	while	SCONJ
cana-3200	229	35	the	the	DET
cana-3200	229	36	blue	blue	ADJ
cana-3200	229	37	line	line	NOUN
cana-3200	229	38	indicates	indicate	VERB
cana-3200	229	39	the	the	DET
cana-3200	229	40	actual	actual	ADJ
cana-3200	229	41	path	path	NOUN
cana-3200	229	42	taken	take	VERB
cana-3200	229	43	by	by	ADP
cana-3200	229	44	the	the	DET
cana-3200	229	45	car	car	NOUN
cana-3200	229	46	.	.	PUNCT
cana-3200	230	1	the	the	DET
cana-3200	230	2	difference	difference	NOUN
cana-3200	230	3	between	between	ADP
cana-3200	230	4	the	the	DET
cana-3200	230	5	two	two	NUM
cana-3200	230	6	paths	path	NOUN
cana-3200	230	7	is	be	AUX
cana-3200	230	8	minimal	minimal	ADJ
cana-3200	230	9	,	,	PUNCT
cana-3200	230	10	even	even	ADV
cana-3200	230	11	though	though	SCONJ
cana-3200	230	12	the	the	DET
cana-3200	230	13	car	car	NOUN
cana-3200	230	14	was	be	AUX
cana-3200	230	15	not	not	PART
cana-3200	230	16	detected	detect	VERB
cana-3200	230	17	by	by	ADP
cana-3200	230	18	one	one	NUM
cana-3200	230	19	of	of	ADP
cana-3200	230	20	the	the	DET
cana-3200	230	21	cameras	camera	NOUN
cana-3200	230	22	on	on	ADP
cana-3200	230	23	campus	campus	NOUN
cana-3200	230	24	.	.	PUNCT
cana-3200	231	1	the	the	DET
cana-3200	231	2	root	root	NOUN
cana-3200	231	3	mean	mean	VERB
cana-3200	231	4	square	square	ADJ
cana-3200	231	5	error	error	NOUN
cana-3200	231	6	(	(	PUNCT
cana-3200	231	7	rmse	rmse	NOUN
cana-3200	231	8	)	)	PUNCT
cana-3200	231	9	was	be	AUX
cana-3200	231	10	0.000171	0.000171	NUM
cana-3200	231	11	,	,	PUNCT
cana-3200	231	12	which	which	PRON
cana-3200	231	13	concludes	conclude	VERB
cana-3200	231	14	that	that	SCONJ
cana-3200	231	15	the	the	DET
cana-3200	231	16	difference	difference	NOUN
cana-3200	231	17	between	between	ADP
cana-3200	231	18	the	the	DET
cana-3200	231	19	actual	actual	ADJ
cana-3200	231	20	and	and	CCONJ
cana-3200	231	21	predicted	predict	VERB
cana-3200	231	22	path	path	NOUN
cana-3200	231	23	is	be	AUX
cana-3200	231	24	not	not	PART
cana-3200	231	25	too	too	ADV
cana-3200	231	26	high	high	ADJ
cana-3200	231	27	.	.	PUNCT
cana-3200	232	1	figure	figure	NOUN
cana-3200	232	2	13	13	NUM
cana-3200	232	3	:	:	PUNCT
cana-3200	232	4	comparison	comparison	NOUN
cana-3200	232	5	of	of	ADP
cana-3200	232	6	camera	camera	NOUN
cana-3200	232	7	traced	trace	VERB
cana-3200	232	8	path	path	NOUN
cana-3200	232	9	and	and	CCONJ
cana-3200	232	10	actual	actual	ADJ
cana-3200	232	11	path	path	NOUN
cana-3200	232	12	communications	communication	NOUN
cana-3200	232	13	on	on	ADP
cana-3200	232	14	applied	apply	VERB
cana-3200	232	15	nonlinear	nonlinear	ADJ
cana-3200	232	16	analysis	analysis	NOUN
cana-3200	232	17	issn	issn	NOUN
cana-3200	232	18	:	:	PUNCT
cana-3200	232	19	1074	1074	NUM
cana-3200	232	20	-	-	PUNCT
cana-3200	232	21	133x	133x	NUM
cana-3200	232	22	vol	vol	NOUN
cana-3200	232	23	32	32	NUM
cana-3200	233	1	no	no	NOUN
cana-3200	233	2	.	.	PUNCT
cana-3200	234	1	5s	5s	NUM
cana-3200	234	2	(	(	PUNCT
cana-3200	234	3	2025	2025	NUM
cana-3200	234	4	)	)	PUNCT
cana-3200	234	5	620	620	NUM
cana-3200	234	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3200	234	7	table	table	NOUN
cana-3200	234	8	1	1	NUM
cana-3200	234	9	shows	show	VERB
cana-3200	234	10	the	the	DET
cana-3200	234	11	execution	execution	NOUN
cana-3200	234	12	time	time	NOUN
cana-3200	234	13	comparison	comparison	NOUN
cana-3200	234	14	of	of	ADP
cana-3200	234	15	the	the	DET
cana-3200	234	16	complete	complete	ADJ
cana-3200	234	17	pipeline	pipeline	NOUN
cana-3200	234	18	using	use	VERB
cana-3200	234	19	cpu	cpu	NOUN
cana-3200	234	20	and	and	CCONJ
cana-3200	234	21	gpu	gpu	PROPN
cana-3200	234	22	,	,	PUNCT
cana-3200	234	23	tested	test	VERB
cana-3200	234	24	on	on	ADP
cana-3200	234	25	3	3	NUM
cana-3200	234	26	videos	video	NOUN
cana-3200	234	27	of	of	ADP
cana-3200	234	28	varying	vary	VERB
cana-3200	234	29	file	file	NOUN
cana-3200	234	30	size	size	NOUN
cana-3200	234	31	and	and	CCONJ
cana-3200	234	32	duration	duration	NOUN
cana-3200	234	33	.	.	PUNCT
cana-3200	235	1	table	table	NOUN
cana-3200	235	2	1	1	NUM
cana-3200	235	3	:	:	PUNCT
cana-3200	235	4	cpu	cpu	VERB
cana-3200	235	5	vs	vs	ADP
cana-3200	235	6	gpu	gpu	NOUN
cana-3200	235	7	execution	execution	NOUN
cana-3200	235	8	time	time	NOUN
cana-3200	235	9	comparison	comparison	NOUN
cana-3200	235	10	6	6	NUM
cana-3200	235	11	.	.	PUNCT
cana-3200	236	1	conclusion	conclusion	NOUN
cana-3200	236	2	the	the	DET
cana-3200	236	3	ongoing	ongoing	ADJ
cana-3200	236	4	challenge	challenge	NOUN
cana-3200	236	5	of	of	ADP
cana-3200	236	6	vehicle	vehicle	NOUN
cana-3200	236	7	theft	theft	NOUN
cana-3200	236	8	necessitates	necessitate	VERB
cana-3200	236	9	innovative	innovative	ADJ
cana-3200	236	10	solutions	solution	NOUN
cana-3200	236	11	,	,	PUNCT
cana-3200	236	12	especially	especially	ADV
cana-3200	236	13	as	as	SCONJ
cana-3200	236	14	criminals	criminal	NOUN
cana-3200	236	15	adapt	adapt	VERB
cana-3200	236	16	to	to	ADP
cana-3200	236	17	evolving	evolving	NOUN
cana-3200	236	18	technologies	technology	NOUN
cana-3200	236	19	.	.	PUNCT
cana-3200	237	1	the	the	DET
cana-3200	237	2	fusion	fusion	NOUN
cana-3200	237	3	of	of	ADP
cana-3200	237	4	artificial	artificial	ADJ
cana-3200	237	5	intelligence	intelligence	NOUN
cana-3200	237	6	and	and	CCONJ
cana-3200	237	7	computer	computer	NOUN
cana-3200	237	8	vision	vision	NOUN
cana-3200	237	9	with	with	ADP
cana-3200	237	10	established	establish	VERB
cana-3200	237	11	surveillance	surveillance	NOUN
cana-3200	237	12	systems	system	NOUN
cana-3200	237	13	offers	offer	VERB
cana-3200	237	14	a	a	DET
cana-3200	237	15	promising	promising	ADJ
cana-3200	237	16	strategy	strategy	NOUN
cana-3200	237	17	to	to	PART
cana-3200	237	18	combat	combat	VERB
cana-3200	237	19	this	this	DET
cana-3200	237	20	crime	crime	NOUN
cana-3200	237	21	effectively	effectively	ADV
cana-3200	237	22	.	.	PUNCT
cana-3200	238	1	by	by	ADP
cana-3200	238	2	automating	automate	VERB
cana-3200	238	3	the	the	DET
cana-3200	238	4	analysis	analysis	NOUN
cana-3200	238	5	of	of	ADP
cana-3200	238	6	cctv	cctv	PROPN
cana-3200	238	7	footage	footage	NOUN
cana-3200	238	8	,	,	PUNCT
cana-3200	238	9	law	law	NOUN
cana-3200	238	10	enforcement	enforcement	NOUN
cana-3200	238	11	agencies	agency	NOUN
cana-3200	238	12	can	can	AUX
cana-3200	238	13	swiftly	swiftly	ADV
cana-3200	238	14	detect	detect	VERB
cana-3200	238	15	,	,	PUNCT
cana-3200	238	16	identify	identify	VERB
cana-3200	238	17	,	,	PUNCT
cana-3200	238	18	and	and	CCONJ
cana-3200	238	19	track	track	VERB
cana-3200	238	20	stolen	steal	VERB
cana-3200	238	21	vehicles	vehicle	NOUN
cana-3200	238	22	,	,	PUNCT
cana-3200	238	23	significantly	significantly	ADV
cana-3200	238	24	boosting	boost	VERB
cana-3200	238	25	their	their	PRON
cana-3200	238	26	capacity	capacity	NOUN
cana-3200	238	27	to	to	PART
cana-3200	238	28	apprehend	apprehend	VERB
cana-3200	238	29	suspects	suspect	NOUN
cana-3200	238	30	and	and	CCONJ
cana-3200	238	31	recover	recover	VERB
cana-3200	238	32	stolen	steal	VERB
cana-3200	238	33	property	property	NOUN
cana-3200	238	34	.	.	PUNCT
cana-3200	239	1	furthermore	furthermore	ADV
cana-3200	239	2	,	,	PUNCT
cana-3200	239	3	ai	ai	ADJ
cana-3200	239	4	-	-	PUNCT
cana-3200	239	5	powered	power	VERB
cana-3200	239	6	systems	system	NOUN
cana-3200	239	7	allow	allow	VERB
cana-3200	239	8	for	for	ADP
cana-3200	239	9	proactive	proactive	ADJ
cana-3200	239	10	measures	measure	NOUN
cana-3200	239	11	by	by	ADP
cana-3200	239	12	identifying	identify	VERB
cana-3200	239	13	behavioural	behavioural	ADJ
cana-3200	239	14	patterns	pattern	NOUN
cana-3200	239	15	and	and	CCONJ
cana-3200	239	16	anomalies	anomaly	NOUN
cana-3200	239	17	in	in	ADP
cana-3200	239	18	vehicle	vehicle	NOUN
cana-3200	239	19	activity	activity	NOUN
cana-3200	239	20	,	,	PUNCT
cana-3200	239	21	aiding	aid	VERB
cana-3200	239	22	in	in	ADP
cana-3200	239	23	the	the	DET
cana-3200	239	24	prediction	prediction	NOUN
cana-3200	239	25	and	and	CCONJ
cana-3200	239	26	prevention	prevention	NOUN
cana-3200	239	27	of	of	ADP
cana-3200	239	28	future	future	ADJ
cana-3200	239	29	thefts	theft	NOUN
cana-3200	239	30	.	.	PUNCT
cana-3200	240	1	in	in	ADP
cana-3200	240	2	remote	remote	ADJ
cana-3200	240	3	regions	region	NOUN
cana-3200	240	4	where	where	SCONJ
cana-3200	240	5	conventional	conventional	ADJ
cana-3200	240	6	methods	method	NOUN
cana-3200	240	7	may	may	AUX
cana-3200	240	8	fall	fall	VERB
cana-3200	240	9	short	short	ADJ
cana-3200	240	10	,	,	PUNCT
cana-3200	240	11	utilizing	utilize	VERB
cana-3200	240	12	cctv	cctv	NOUN
cana-3200	240	13	footage	footage	NOUN
cana-3200	240	14	as	as	ADP
cana-3200	240	15	a	a	DET
cana-3200	240	16	primary	primary	ADJ
cana-3200	240	17	tool	tool	NOUN
cana-3200	240	18	for	for	ADP
cana-3200	240	19	locating	locate	VERB
cana-3200	240	20	missing	miss	VERB
cana-3200	240	21	vehicles	vehicle	NOUN
cana-3200	240	22	presents	present	VERB
cana-3200	240	23	a	a	DET
cana-3200	240	24	practical	practical	ADJ
cana-3200	240	25	alternative	alternative	NOUN
cana-3200	240	26	,	,	PUNCT
cana-3200	240	27	streamlining	streamline	VERB
cana-3200	240	28	the	the	DET
cana-3200	240	29	search	search	NOUN
cana-3200	240	30	process	process	NOUN
cana-3200	240	31	and	and	CCONJ
cana-3200	240	32	overcoming	overcome	VERB
cana-3200	240	33	the	the	DET
cana-3200	240	34	limitations	limitation	NOUN
cana-3200	240	35	of	of	ADP
cana-3200	240	36	gps	gps	PROPN
cana-3200	240	37	technology	technology	NOUN
cana-3200	240	38	.	.	PUNCT
cana-3200	241	1	this	this	DET
cana-3200	241	2	technology	technology	NOUN
cana-3200	241	3	also	also	ADV
cana-3200	241	4	aids	aid	VERB
cana-3200	241	5	the	the	DET
cana-3200	241	6	crime	crime	NOUN
cana-3200	241	7	branch	branch	NOUN
cana-3200	241	8	to	to	PART
cana-3200	241	9	monitor	monitor	VERB
cana-3200	241	10	a	a	DET
cana-3200	241	11	particular	particular	ADJ
cana-3200	241	12	vehicle	vehicle	NOUN
cana-3200	241	13	for	for	ADP
cana-3200	241	14	intelligence	intelligence	NOUN
cana-3200	241	15	purposes	purpose	NOUN
cana-3200	241	16	,	,	PUNCT
cana-3200	241	17	additionally	additionally	ADV
cana-3200	241	18	traffic	traffic	NOUN
cana-3200	241	19	police	police	NOUN
cana-3200	241	20	can	can	AUX
cana-3200	241	21	also	also	ADV
cana-3200	241	22	detect	detect	VERB
cana-3200	241	23	the	the	DET
cana-3200	241	24	speeds	speed	NOUN
cana-3200	241	25	of	of	ADP
cana-3200	241	26	the	the	DET
cana-3200	241	27	vehicles	vehicle	NOUN
cana-3200	241	28	without	without	ADP
cana-3200	241	29	a	a	DET
cana-3200	241	30	person	person	NOUN
cana-3200	241	31	to	to	PART
cana-3200	241	32	be	be	AUX
cana-3200	241	33	physically	physically	ADV
cana-3200	241	34	present	present	ADJ
cana-3200	241	35	to	to	PART
cana-3200	241	36	check	check	VERB
cana-3200	241	37	speed	speed	NOUN
cana-3200	241	38	.	.	PUNCT
cana-3200	242	1	during	during	ADP
cana-3200	242	2	disaster	disaster	NOUN
cana-3200	242	3	management	management	NOUN
cana-3200	242	4	,	,	PUNCT
cana-3200	242	5	this	this	DET
cana-3200	242	6	system	system	NOUN
cana-3200	242	7	can	can	AUX
cana-3200	242	8	be	be	AUX
cana-3200	242	9	used	use	VERB
cana-3200	242	10	for	for	ADP
cana-3200	242	11	monitoring	monitor	VERB
cana-3200	242	12	the	the	DET
cana-3200	242	13	evacuation	evacuation	NOUN
cana-3200	242	14	routes	route	NOUN
cana-3200	242	15	.	.	PUNCT
cana-3200	243	1	ultimately	ultimately	ADV
cana-3200	243	2	,	,	PUNCT
cana-3200	243	3	these	these	DET
cana-3200	243	4	advancements	advancement	NOUN
cana-3200	243	5	augment	augment	VERB
cana-3200	243	6	law	law	NOUN
cana-3200	243	7	enforcement	enforcement	NOUN
cana-3200	243	8	capabilities	capability	NOUN
cana-3200	243	9	and	and	CCONJ
cana-3200	243	10	act	act	VERB
cana-3200	243	11	as	as	ADP
cana-3200	243	12	a	a	DET
cana-3200	243	13	deterrent	deterrent	NOUN
cana-3200	243	14	to	to	ADP
cana-3200	243	15	potential	potential	ADJ
cana-3200	243	16	offenders	offender	NOUN
cana-3200	243	17	,	,	PUNCT
cana-3200	243	18	contributing	contribute	VERB
cana-3200	243	19	to	to	ADP
cana-3200	243	20	a	a	DET
cana-3200	243	21	safer	safe	ADJ
cana-3200	243	22	and	and	CCONJ
cana-3200	243	23	more	more	ADV
cana-3200	243	24	secure	secure	ADJ
cana-3200	243	25	society	society	NOUN
cana-3200	243	26	.	.	PUNCT
cana-3200	244	1	references	reference	NOUN
cana-3200	244	2	[	[	X
cana-3200	244	3	1	1	NUM
cana-3200	244	4	]	]	PUNCT
cana-3200	244	5	https://auto.economictimes.indiatimes.com/news/aftermarket/vehicle-theft-increases-by-2-5x-in-india-in-2023delhi-tops-the-list-acko-report/108454773?utm_source=copy&utm_medium=pshare	https://auto.economictimes.indiatimes.com/news/aftermarket/vehicle-theft-increases-by-2-5x-in-india-in-2023delhi-tops-the-list-acko-report/108454773?utm_source=copy&utm_medium=pshare	NOUN
cana-3200	245	1	[	[	X
cana-3200	245	2	2	2	X
cana-3200	245	3	]	]	X
cana-3200	245	4	k.v	k.v	PROPN
cana-3200	245	5	.	.	PROPN
cana-3200	245	6	kadambari	kadambari	NOUN
cana-3200	245	7	,	,	PUNCT
cana-3200	245	8	et.al	et.al	PROPN
cana-3200	245	9	.	.	PUNCT
cana-3200	246	1	"	"	PUNCT
cana-3200	246	2	deep	deep	ADJ
cana-3200	246	3	learning	learning	NOUN
cana-3200	246	4	based	base	VERB
cana-3200	246	5	traffic	traffic	NOUN
cana-3200	246	6	surveillance	surveillance	NOUN
cana-3200	246	7	system	system	NOUN
cana-3200	246	8	for	for	ADP
cana-3200	246	9	missing	missing	ADJ
cana-3200	246	10	and	and	CCONJ
cana-3200	246	11	suspicious	suspicious	ADJ
cana-3200	246	12	car	car	NOUN
cana-3200	246	13	detection	detection	NOUN
cana-3200	246	14	"	"	PUNCT
cana-3200	246	15	,	,	PUNCT
cana-3200	246	16	2020	2020	NUM
cana-3200	246	17	[	[	X
cana-3200	246	18	3	3	X
cana-3200	246	19	]	]	PUNCT
cana-3200	246	20	xiying	xiying	PROPN
cana-3200	246	21	li	li	PROPN
cana-3200	246	22	et.al	et.al	PROPN
cana-3200	246	23	.	.	PUNCT
cana-3200	247	1	"	"	PUNCT
cana-3200	247	2	object	object	VERB
cana-3200	247	3	re	re	NOUN
cana-3200	247	4	-	-	NOUN
cana-3200	247	5	identification	identification	NOUN
cana-3200	247	6	based	base	VERB
cana-3200	247	7	on	on	ADP
cana-3200	247	8	deep	deep	ADJ
cana-3200	247	9	learning",2019	learning",2019	PUNCT
cana-3200	247	10	[	[	X
cana-3200	247	11	4	4	NUM
cana-3200	247	12	]	]	PUNCT
cana-3200	247	13	anil	anil	PROPN
cana-3200	247	14	sharma	sharma	PROPN
cana-3200	247	15	,	,	PUNCT
cana-3200	247	16	et.al	et.al	PROPN
cana-3200	247	17	.	.	PUNCT
cana-3200	248	1	"	"	PUNCT
cana-3200	248	2	intelligent	intelligent	ADJ
cana-3200	248	3	camera	camera	NOUN
cana-3200	248	4	selection	selection	NOUN
cana-3200	248	5	decisions	decision	NOUN
cana-3200	248	6	for	for	ADP
cana-3200	248	7	target	target	NOUN
cana-3200	248	8	tracking	tracking	NOUN
cana-3200	248	9	in	in	ADP
cana-3200	248	10	a	a	DET
cana-3200	248	11	camera	camera	NOUN
cana-3200	248	12	network	network	NOUN
cana-3200	248	13	"	"	PUNCT
cana-3200	248	14	,	,	PUNCT
cana-3200	248	15	indraprastha	indraprastha	PROPN
cana-3200	248	16	institute	institute	PROPN
cana-3200	248	17	of	of	ADP
cana-3200	248	18	information	information	NOUN
cana-3200	248	19	technology	technology	PROPN
cana-3200	248	20	(	(	PUNCT
cana-3200	248	21	iiit	iiit	PROPN
cana-3200	248	22	)	)	PUNCT
cana-3200	248	23	,	,	PUNCT
cana-3200	248	24	delhi,2022	delhi,2022	NOUN
cana-3200	248	25	[	[	X
cana-3200	248	26	5	5	NUM
cana-3200	248	27	]	]	X
cana-3200	248	28	prof	prof	NOUN
cana-3200	248	29	.	.	PUNCT
cana-3200	248	30	m.	m.	PROPN
cana-3200	248	31	seshaiah	seshaiah	PROPN
cana-3200	248	32	,	,	PUNCT
cana-3200	248	33	abhijith	abhijith	ADP
cana-3200	248	34	r	r	PROPN
cana-3200	248	35	nair	nair	NOUN
cana-3200	248	36	,	,	PUNCT
cana-3200	248	37	ektha	ektha	PROPN
cana-3200	248	38	mallya	mallya	PROPN
cana-3200	248	39	,	,	PUNCT
cana-3200	248	40	shiv	shiv	PROPN
cana-3200	248	41	dev	dev	PROPN
cana-3200	248	42	et.al	et.al	PROPN
cana-3200	248	43	.	.	PUNCT
cana-3200	249	1	"	"	PUNCT
cana-3200	249	2	cctv	cctv	PROPN
cana-3200	249	3	surveillance	surveillance	NOUN
cana-3200	249	4	camera	camera	NOUN
cana-3200	249	5	’s	’s	PART
cana-3200	249	6	image	image	NOUN
cana-3200	249	7	resolution	resolution	NOUN
cana-3200	249	8	enhancement	enhancement	NOUN
cana-3200	249	9	using	use	VERB
cana-3200	249	10	srgan",vtu	srgan",vtu	PROPN
cana-3200	249	11	,	,	PUNCT
cana-3200	249	12	belgaum	belgaum	PROPN
cana-3200	249	13	,	,	PUNCT
cana-3200	249	14	india,2020	india,2020	VERB
cana-3200	249	15	[	[	X
cana-3200	249	16	6	6	NUM
cana-3200	249	17	]	]	PUNCT
cana-3200	249	18	youngmin	youngmin	NOUN
cana-3200	249	19	baek	baek	NOUN
cana-3200	249	20	,	,	PUNCT
cana-3200	249	21	bado	bado	PROPN
cana-3200	249	22	lee	lee	PROPN
cana-3200	249	23	,	,	PUNCT
cana-3200	249	24	dongyoon	dongyoon	PROPN
cana-3200	249	25	han	han	PROPN
cana-3200	249	26	,	,	PUNCT
cana-3200	249	27	sangdoo	sangdoo	PROPN
cana-3200	249	28	yun	yun	PROPN
cana-3200	249	29	,	,	PUNCT
cana-3200	249	30	and	and	CCONJ
cana-3200	249	31	hwalsuk	hwalsuk	PROPN
cana-3200	249	32	lee	lee	PROPN
cana-3200	249	33	,	,	PUNCT
cana-3200	249	34	et.al	et.al	PROPN
cana-3200	249	35	.	.	PROPN
cana-3200	249	36	,	,	PUNCT
cana-3200	249	37	"	"	PUNCT
cana-3200	249	38	character	character	NOUN
cana-3200	249	39	region	region	NOUN
cana-3200	249	40	awareness	awareness	NOUN
cana-3200	249	41	for	for	ADP
cana-3200	249	42	text	text	NOUN
cana-3200	249	43	detection	detection	NOUN
cana-3200	249	44	"	"	PUNCT
cana-3200	249	45	,	,	PUNCT
cana-3200	249	46	2019	2019	NUM
cana-3200	250	1	[	[	X
cana-3200	250	2	7	7	X
cana-3200	250	3	]	]	X
cana-3200	250	4	qi	qi	PROPN
cana-3200	250	5	-	-	PUNCT
cana-3200	250	6	chao	chao	PROPN
cana-3200	250	7	mao	mao	PROPN
cana-3200	250	8	et.al	et.al	PROPN
cana-3200	250	9	.	.	PUNCT
cana-3200	251	1	"	"	PUNCT
cana-3200	251	2	finding	find	VERB
cana-3200	251	3	every	every	DET
cana-3200	251	4	car	car	NOUN
cana-3200	251	5	:	:	PUNCT
cana-3200	251	6	a	a	DET
cana-3200	251	7	traffic	traffic	NOUN
cana-3200	251	8	surveillance	surveillance	NOUN
cana-3200	251	9	multi	multi	ADJ
cana-3200	251	10	-	-	ADJ
cana-3200	251	11	scale	scale	ADJ
cana-3200	251	12	vehicle	vehicle	NOUN
cana-3200	251	13	object	object	NOUN
cana-3200	251	14	detection	detection	NOUN
cana-3200	251	15	method	method	NOUN
cana-3200	251	16	"	"	PUNCT
cana-3200	251	17	,	,	PUNCT
cana-3200	251	18	college	college	NOUN
cana-3200	251	19	of	of	ADP
cana-3200	251	20	computer	computer	NOUN
cana-3200	251	21	science	science	NOUN
cana-3200	251	22	and	and	CCONJ
cana-3200	251	23	engineering	engineering	NOUN
cana-3200	251	24	,	,	PUNCT
cana-3200	251	25	shandong	shandong	PROPN
cana-3200	251	26	university	university	PROPN
cana-3200	251	27	of	of	ADP
cana-3200	251	28	science	science	NOUN
cana-3200	251	29	and	and	CCONJ
cana-3200	251	30	technology	technology	NOUN
cana-3200	251	31	,	,	PUNCT
cana-3200	251	32	2020	2020	NUM
cana-3200	251	33	[	[	X
cana-3200	251	34	8	8	NUM
cana-3200	251	35	]	]	X
cana-3200	251	36	kirill	kirill	PROPN
cana-3200	251	37	smelyakov	smelyakov	PROPN
cana-3200	251	38	et.al	et.al	PROPN
cana-3200	251	39	.	.	PUNCT
cana-3200	252	1	"	"	PUNCT
cana-3200	252	2	effectiveness	effectiveness	NOUN
cana-3200	252	3	of	of	ADP
cana-3200	252	4	modern	modern	ADJ
cana-3200	252	5	text	text	NOUN
cana-3200	252	6	recognition	recognition	NOUN
cana-3200	252	7	solutions	solution	NOUN
cana-3200	252	8	and	and	CCONJ
cana-3200	252	9	tools	tool	NOUN
cana-3200	252	10	for	for	ADP
cana-3200	252	11	common	common	ADJ
cana-3200	252	12	data	datum	NOUN
cana-3200	252	13	sources",kharkiv	sources",kharkiv	PROPN
cana-3200	252	14	national	national	PROPN
cana-3200	252	15	university	university	PROPN
cana-3200	252	16	of	of	ADP
cana-3200	252	17	radio	radio	NOUN
cana-3200	252	18	electronics,2021	electronics,2021	PROPN
cana-3200	252	19	communications	communication	NOUN
cana-3200	252	20	on	on	ADP
cana-3200	252	21	applied	apply	VERB
cana-3200	252	22	nonlinear	nonlinear	ADJ
cana-3200	252	23	analysis	analysis	NOUN
cana-3200	252	24	issn	issn	NOUN
cana-3200	252	25	:	:	PUNCT
cana-3200	252	26	1074	1074	NUM
cana-3200	252	27	-	-	PUNCT
cana-3200	252	28	133x	133x	NUM
cana-3200	252	29	vol	vol	NOUN
cana-3200	252	30	32	32	NUM
cana-3200	252	31	no	no	NOUN
cana-3200	252	32	.	.	PUNCT
cana-3200	253	1	5s	5s	NUM
cana-3200	253	2	(	(	PUNCT
cana-3200	253	3	2025	2025	NUM
cana-3200	253	4	)	)	PUNCT
cana-3200	253	5	621	621	NUM
cana-3200	253	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3200	254	1	[	[	X
cana-3200	254	2	9	9	NUM
cana-3200	254	3	]	]	X
cana-3200	254	4	delong	delong	PROPN
cana-3200	254	5	cai	cai	PROPN
cana-3200	254	6	et.al	et.al	PROPN
cana-3200	254	7	.	.	PUNCT
cana-3200	255	1	"	"	PUNCT
cana-3200	255	2	corner	corner	NOUN
cana-3200	255	3	-	-	PUNCT
cana-3200	255	4	point	point	NOUN
cana-3200	255	5	and	and	CCONJ
cana-3200	255	6	foreground	foreground	ADJ
cana-3200	255	7	-	-	PUNCT
cana-3200	255	8	area	area	NOUN
cana-3200	255	9	iou	iou	NOUN
cana-3200	255	10	loss	loss	NOUN
cana-3200	255	11	:	:	PUNCT
cana-3200	255	12	better	well	ADJ
cana-3200	255	13	localization	localization	NOUN
cana-3200	255	14	of	of	ADP
cana-3200	255	15	small	small	ADJ
cana-3200	255	16	objects	object	NOUN
cana-3200	255	17	in	in	ADP
cana-3200	255	18	bounding	bound	VERB
cana-3200	255	19	box	box	NOUN
cana-3200	255	20	regression	regression	NOUN
cana-3200	255	21	"	"	PUNCT
cana-3200	255	22	,	,	PUNCT
cana-3200	255	23	school	school	NOUN
cana-3200	255	24	of	of	ADP
cana-3200	255	25	electrical	electrical	ADJ
cana-3200	255	26	engineering	engineering	NOUN
cana-3200	255	27	and	and	CCONJ
cana-3200	255	28	intelligentization	intelligentization	NOUN
cana-3200	255	29	,	,	PUNCT
cana-3200	255	30	dongguan	dongguan	PROPN
cana-3200	255	31	university	university	PROPN
cana-3200	255	32	of	of	ADP
cana-3200	255	33	technology	technology	NOUN
cana-3200	255	34	,	,	PUNCT
cana-3200	255	35	2023	2023	NUM
cana-3200	255	36	[	[	X
cana-3200	255	37	10	10	NUM
cana-3200	255	38	]	]	X
cana-3200	255	39	shailendra	shailendra	PROPN
cana-3200	255	40	shende	shende	PROPN
cana-3200	255	41	et.al	et.al	PROPN
cana-3200	255	42	.	.	PUNCT
cana-3200	256	1	"	"	PUNCT
cana-3200	256	2	cnn	cnn	PROPN
cana-3200	256	3	based	base	VERB
cana-3200	256	4	missing	miss	VERB
cana-3200	256	5	object	object	NOUN
cana-3200	256	6	detection	detection	NOUN
cana-3200	256	7	"	"	PUNCT
cana-3200	256	8	,	,	PUNCT
cana-3200	256	9	government	government	NOUN
cana-3200	256	10	college	college	NOUN
cana-3200	256	11	of	of	ADP
cana-3200	256	12	engineering	engineering	NOUN
cana-3200	256	13	chandrapur	chandrapur	NOUN
cana-3200	256	14	,	,	PUNCT
cana-3200	256	15	2023	2023	NUM
cana-3200	256	16	[	[	X
cana-3200	256	17	11	11	NUM
cana-3200	256	18	]	]	SYM
cana-3200	256	19	h	h	NOUN
cana-3200	256	20	,	,	PUNCT
cana-3200	256	21	dr	dr	PROPN
cana-3200	256	22	&	&	CCONJ
cana-3200	256	23	j	j	PROPN
cana-3200	256	24	,	,	PUNCT
cana-3200	256	25	archana	archana	PROPN
cana-3200	256	26	&	&	CCONJ
cana-3200	256	27	n	n	PROPN
cana-3200	256	28	,	,	PUNCT
cana-3200	256	29	gagana	gagana	PROPN
cana-3200	256	30	.	.	PUNCT
cana-3200	257	1	(	(	PUNCT
cana-3200	257	2	2024	2024	NUM
cana-3200	257	3	)	)	PUNCT
cana-3200	257	4	.	.	PUNCT
cana-3200	258	1	a	a	DET
cana-3200	258	2	survey	survey	NOUN
cana-3200	258	3	of	of	ADP
cana-3200	258	4	integrating	integrate	VERB
cana-3200	258	5	deep	deep	ADJ
cana-3200	258	6	learning	learning	NOUN
cana-3200	258	7	-	-	PUNCT
cana-3200	258	8	based	base	VERB
cana-3200	258	9	missing	missing	ADJ
cana-3200	258	10	person	person	NOUN
cana-3200	258	11	detection	detection	NOUN
cana-3200	258	12	model	model	NOUN
cana-3200	258	13	into	into	ADP
cana-3200	258	14	cctv	cctv	PROPN
cana-3200	258	15	systems	system	NOUN
cana-3200	258	16	for	for	ADP
cana-3200	258	17	enhanced	enhanced	ADJ
cana-3200	258	18	identification	identification	NOUN
cana-3200	258	19	.	.	PUNCT
cana-3200	259	1	international	international	ADJ
cana-3200	259	2	journal	journal	NOUN
cana-3200	259	3	of	of	ADP
cana-3200	259	4	advanced	advanced	ADJ
cana-3200	259	5	research	research	NOUN
cana-3200	259	6	in	in	ADP
cana-3200	259	7	science	science	NOUN
cana-3200	259	8	,	,	PUNCT
cana-3200	259	9	communication	communication	NOUN
cana-3200	259	10	and	and	CCONJ
cana-3200	259	11	technology	technology	NOUN
cana-3200	259	12	.	.	PUNCT
cana-3200	260	1	259	259	NUM
cana-3200	260	2	-	-	SYM
cana-3200	260	3	268	268	NUM
cana-3200	260	4	.	.	PUNCT
cana-3200	261	1	10.48175	10.48175	NUM
cana-3200	261	2	/	/	SYM
cana-3200	262	1	ijarsct-15336	ijarsct-15336	ADJ
cana-3200	262	2	[	[	X
cana-3200	262	3	12	12	NUM
cana-3200	262	4	]	]	SYM
cana-3200	262	5	abdullahi	abdullahi	PROPN
cana-3200	262	6	,	,	PUNCT
cana-3200	262	7	mohammed	mohammed	PROPN
cana-3200	262	8	&	&	CCONJ
cana-3200	262	9	oyelade	oyelade	PROPN
cana-3200	262	10	,	,	PUNCT
cana-3200	262	11	olaide	olaide	PROPN
cana-3200	262	12	&	&	CCONJ
cana-3200	262	13	kana	kana	PROPN
cana-3200	262	14	,	,	PUNCT
cana-3200	262	15	armand	armand	PROPN
cana-3200	262	16	&	&	CCONJ
cana-3200	262	17	bagiwa	bagiwa	PROPN
cana-3200	262	18	,	,	PUNCT
cana-3200	262	19	mustapha	mustapha	PROPN
cana-3200	262	20	&	&	CCONJ
cana-3200	262	21	abdullahi	abdullahi	PROPN
cana-3200	262	22	,	,	PUNCT
cana-3200	262	23	fatimah	fatimah	PROPN
cana-3200	262	24	&	&	CCONJ
cana-3200	262	25	junaidu	junaidu	PROPN
cana-3200	262	26	,	,	PUNCT
cana-3200	262	27	sahalu	sahalu	PROPN
cana-3200	262	28	&	&	CCONJ
cana-3200	262	29	iliyasu	iliyasu	PROPN
cana-3200	262	30	,	,	PUNCT
cana-3200	262	31	ibrahim	ibrahim	PROPN
cana-3200	262	32	&	&	CCONJ
cana-3200	262	33	ore	ore	PROPN
cana-3200	262	34	-	-	PUNCT
cana-3200	262	35	ofe	ofe	NOUN
cana-3200	262	36	,	,	PUNCT
cana-3200	262	37	ajayi	ajayi	NOUN
cana-3200	262	38	&	&	CCONJ
cana-3200	262	39	chiroma	chiroma	PROPN
cana-3200	262	40	,	,	PUNCT
cana-3200	262	41	haruna	haruna	PROPN
cana-3200	262	42	.	.	PUNCT
cana-3200	263	1	(	(	PUNCT
cana-3200	263	2	2024	2024	NUM
cana-3200	263	3	)	)	PUNCT
cana-3200	263	4	.	.	PUNCT
cana-3200	264	1	a	a	DET
cana-3200	264	2	systematic	systematic	ADJ
cana-3200	264	3	literature	literature	NOUN
cana-3200	264	4	review	review	NOUN
cana-3200	264	5	of	of	ADP
cana-3200	264	6	visual	visual	ADJ
cana-3200	264	7	feature	feature	NOUN
cana-3200	264	8	learning	learning	NOUN
cana-3200	264	9	:	:	PUNCT
cana-3200	264	10	deep	deep	ADJ
cana-3200	264	11	learning	learning	NOUN
cana-3200	264	12	techniques	technique	NOUN
cana-3200	264	13	,	,	PUNCT
cana-3200	264	14	applications	application	NOUN
cana-3200	264	15	,	,	PUNCT
cana-3200	264	16	challenges	challenge	NOUN
cana-3200	264	17	and	and	CCONJ
cana-3200	264	18	future	future	ADJ
cana-3200	264	19	directions	direction	NOUN
cana-3200	264	20	.	.	PUNCT
cana-3200	265	1	multimedia	multimedia	NOUN
cana-3200	265	2	tools	tool	NOUN
cana-3200	265	3	and	and	CCONJ
cana-3200	265	4	applications	application	NOUN
cana-3200	265	5	.	.	PUNCT
cana-3200	266	1	1	1	NUM
cana-3200	266	2	-	-	SYM
cana-3200	266	3	58	58	NUM
cana-3200	266	4	.	.	PUNCT
cana-3200	267	1	10.1007	10.1007	NUM
cana-3200	267	2	/	/	SYM
cana-3200	267	3	s11042	s11042	NOUN
cana-3200	267	4	-	-	PUNCT
cana-3200	267	5	024	024	NUM
cana-3200	267	6	-	-	PUNCT
cana-3200	267	7	19823	19823	NUM
cana-3200	267	8	-	-	SYM
cana-3200	267	9	3	3	NUM
cana-3200	267	10	[	[	X
cana-3200	267	11	13	13	NUM
cana-3200	267	12	]	]	X
cana-3200	267	13	abdulkareem	abdulkareem	NOUN
cana-3200	267	14	,	,	PUNCT
cana-3200	267	15	ismael	ismael	PROPN
cana-3200	267	16	&	&	CCONJ
cana-3200	267	17	al	al	PROPN
cana-3200	267	18	-	-	PUNCT
cana-3200	267	19	shammri	shammri	PROPN
cana-3200	267	20	,	,	PUNCT
cana-3200	267	21	faris	faris	PROPN
cana-3200	267	22	&	&	CCONJ
cana-3200	267	23	a.	a.	PROPN
cana-3200	267	24	khalid	khalid	PROPN
cana-3200	267	25	,	,	PUNCT
cana-3200	267	26	noor	noor	PROPN
cana-3200	267	27	&	&	CCONJ
cana-3200	267	28	omran	omran	PROPN
cana-3200	267	29	,	,	PUNCT
cana-3200	267	30	natiq	natiq	ADJ
cana-3200	267	31	.	.	PUNCT
cana-3200	268	1	(	(	PUNCT
cana-3200	268	2	2024	2024	NUM
cana-3200	268	3	)	)	PUNCT
cana-3200	268	4	.	.	PUNCT
cana-3200	269	1	a	a	DET
cana-3200	269	2	proposed	propose	VERB
cana-3200	269	3	approach	approach	NOUN
cana-3200	269	4	for	for	ADP
cana-3200	269	5	object	object	NOUN
cana-3200	269	6	detection	detection	NOUN
cana-3200	269	7	and	and	CCONJ
cana-3200	269	8	recognition	recognition	NOUN
cana-3200	269	9	by	by	ADP
cana-3200	269	10	deep	deep	ADJ
cana-3200	269	11	learning	learning	NOUN
cana-3200	269	12	models	model	NOUN
cana-3200	269	13	using	use	VERB
cana-3200	269	14	data	datum	NOUN
cana-3200	269	15	augmentation	augmentation	NOUN
cana-3200	269	16	.	.	PUNCT
cana-3200	270	1	10.3991	10.3991	NUM
cana-3200	270	2	/	/	SYM
cana-3200	270	3	ijoe.v20i05.47171	ijoe.v20i05.47171	NOUN
cana-3200	270	4	.	.	PUNCT
cana-3200	271	1	[	[	X
cana-3200	271	2	14	14	NUM
cana-3200	271	3	]	]	SYM
cana-3200	271	4	wicaksana	wicaksana	PROPN
cana-3200	271	5	,	,	PUNCT
cana-3200	271	6	i	i	PROPN
cana-3200	271	7	putu	putu	PROPN
cana-3200	271	8	&	&	CCONJ
cana-3200	271	9	davinsi	davinsi	PROPN
cana-3200	271	10	,	,	PUNCT
cana-3200	271	11	gabriel	gabriel	PROPN
cana-3200	271	12	&	&	CCONJ
cana-3200	271	13	afriyanto	afriyanto	PROPN
cana-3200	271	14	,	,	PUNCT
cana-3200	271	15	muhammad	muhammad	PROPN
cana-3200	271	16	&	&	CCONJ
cana-3200	271	17	wibowo	wibowo	PROPN
cana-3200	271	18	,	,	PUNCT
cana-3200	271	19	antoni	antoni	PROPN
cana-3200	271	20	&	&	CCONJ
cana-3200	271	21	suri	suri	PROPN
cana-3200	271	22	,	,	PUNCT
cana-3200	271	23	puti	puti	PROPN
cana-3200	271	24	.	.	PUNCT
cana-3200	271	25	(	(	PUNCT
cana-3200	271	26	2024	2024	NUM
cana-3200	271	27	)	)	PUNCT
cana-3200	271	28	.	.	PUNCT
cana-3200	272	1	systematic	systematic	ADJ
cana-3200	272	2	literature	literature	PROPN
cana-3200	272	3	review	review	PROPN
cana-3200	272	4	:	:	PUNCT
cana-3200	272	5	the	the	DET
cana-3200	272	6	influence	influence	NOUN
cana-3200	272	7	and	and	CCONJ
cana-3200	272	8	effectiveness	effectiveness	NOUN
cana-3200	272	9	of	of	ADP
cana-3200	272	10	deep	deep	ADJ
cana-3200	272	11	learning	learning	NOUN
cana-3200	272	12	in	in	ADP
cana-3200	272	13	image	image	NOUN
cana-3200	272	14	processing	processing	NOUN
cana-3200	272	15	for	for	ADP
cana-3200	272	16	emotion	emotion	NOUN
cana-3200	272	17	recognition	recognition	NOUN
cana-3200	272	18	.	.	PUNCT
cana-3200	273	1	10.21203	10.21203	NUM
cana-3200	273	2	/	/	SYM
cana-3200	273	3	rs.3.rs-3856084	rs.3.rs-3856084	NOUN
cana-3200	273	4	/	/	SYM
cana-3200	273	5	v1	v1	NOUN
cana-3200	273	6	.	.	PUNCT
cana-3200	274	1	[	[	X
cana-3200	274	2	15	15	NUM
cana-3200	274	3	]	]	PUNCT
cana-3200	274	4	tabatabaei	tabatabaei	NOUN
cana-3200	274	5	,	,	PUNCT
cana-3200	274	6	seyed	seyed	PROPN
cana-3200	274	7	mohammad	mohammad	PROPN
cana-3200	274	8	taha	taha	PROPN
cana-3200	274	9	.	.	PUNCT
cana-3200	275	1	(	(	PUNCT
cana-3200	275	2	2024	2024	NUM
cana-3200	275	3	)	)	PUNCT
cana-3200	275	4	.	.	PUNCT
cana-3200	276	1	efficient	efficient	ADJ
cana-3200	276	2	neural	neural	ADJ
cana-3200	276	3	network	network	NOUN
cana-3200	276	4	face	face	NOUN
cana-3200	276	5	recognition	recognition	NOUN
cana-3200	276	6	system	system	NOUN
cana-3200	276	7	on	on	ADP
cana-3200	276	8	a	a	DET
cana-3200	276	9	resource	resource	NOUN
cana-3200	276	10	constrained	constrain	VERB
cana-3200	276	11	device	device	NOUN
cana-3200	276	12	.	.	PUNCT
cana-3200	277	1	10.13140	10.13140	NUM
cana-3200	277	2	/	/	SYM
cana-3200	277	3	rg.2.2.34987.66085	rg.2.2.34987.66085	NOUN
cana-3200	277	4	.	.	PUNCT
cana-3200	278	1	[	[	X
cana-3200	278	2	16	16	NUM
cana-3200	278	3	]	]	PUNCT
cana-3200	278	4	dkengne	dkengne	NOUN
cana-3200	278	5	sielenou	sielenou	NOUN
cana-3200	278	6	,	,	PUNCT
cana-3200	278	7	pascal	pascal	PROPN
cana-3200	278	8	alain	alain	PROPN
cana-3200	278	9	&	&	CCONJ
cana-3200	278	10	girard	girard	PROPN
cana-3200	278	11	,	,	PUNCT
cana-3200	278	12	stéphane	stéphane	PROPN
cana-3200	278	13	.	.	PROPN
cana-3200	278	14	(	(	PUNCT
cana-3200	278	15	2023	2023	NUM
cana-3200	278	16	)	)	PUNCT
cana-3200	278	17	.	.	PUNCT
cana-3200	279	1	detection	detection	NOUN
cana-3200	279	2	of	of	ADP
cana-3200	279	3	traffic	traffic	NOUN
cana-3200	279	4	scene	scene	NOUN
cana-3200	279	5	objects	object	VERB
cana-3200	279	6	using	use	VERB
cana-3200	279	7	yolo	yolo	ADJ
cana-3200	279	8	algorithm	algorithm	NOUN
cana-3200	279	9	:	:	PUNCT
cana-3200	279	10	theory	theory	NOUN
cana-3200	279	11	and	and	CCONJ
cana-3200	279	12	practical	practical	ADJ
cana-3200	279	13	guide	guide	NOUN
cana-3200	279	14	.	.	PUNCT
cana-3200	280	1	10.13140	10.13140	NUM
cana-3200	280	2	/	/	SYM
cana-3200	280	3	rg.2.2.19162.52163	rg.2.2.19162.52163	PROPN
cana-3200	280	4	.	.	PUNCT
cana-3200	281	1	[	[	X
cana-3200	281	2	17	17	NUM
cana-3200	281	3	]	]	PUNCT
cana-3200	281	4	nicolai	nicolai	PROPN
cana-3200	281	5	wojke	wojke	PROPN
cana-3200	281	6	et.al	et.al	PROPN
cana-3200	281	7	.	.	PUNCT
cana-3200	282	1	“	"	PUNCT
cana-3200	282	2	simple	simple	ADJ
cana-3200	282	3	online	online	ADJ
cana-3200	282	4	and	and	CCONJ
cana-3200	282	5	real	real	ADJ
cana-3200	282	6	time	time	NOUN
cana-3200	282	7	tracking	track	VERB
cana-3200	282	8	with	with	ADP
cana-3200	282	9	a	a	DET
cana-3200	282	10	deep	deep	ADJ
cana-3200	282	11	association	association	NOUN
cana-3200	282	12	metric	metric	NOUN
cana-3200	282	13	”	"	PUNCT
cana-3200	282	14	,	,	PUNCT
cana-3200	282	15	university	university	NOUN
cana-3200	282	16	of	of	ADP
cana-3200	282	17	koblenzlandau	koblenzlandau	NOUN
cana-3200	282	18	,	,	PUNCT
cana-3200	282	19	2017	2017	NUM
cana-3200	283	1	[	[	SYM
cana-3200	283	2	18	18	NUM
cana-3200	283	3	]	]	PUNCT
cana-3200	283	4	mingxing	mingxe	VERB
cana-3200	283	5	tan	tan	PROPN
cana-3200	283	6	et.al	et.al	PROPN
cana-3200	283	7	.	.	PUNCT
cana-3200	284	1	“	"	PUNCT
cana-3200	284	2	efficientnet	efficientnet	NOUN
cana-3200	284	3	:	:	PUNCT
cana-3200	284	4	rethinking	rethink	VERB
cana-3200	284	5	model	model	NOUN
cana-3200	284	6	scaling	scale	VERB
cana-3200	284	7	for	for	ADP
cana-3200	284	8	convolutional	convolutional	ADJ
cana-3200	284	9	neural	neural	ADJ
cana-3200	284	10	networks	network	NOUN
cana-3200	284	11	”	"	PUNCT
cana-3200	284	12	,	,	PUNCT
cana-3200	284	13	2020	2020	NUM
cana-3200	284	14	.	.	PUNCT
cana-3200	285	1	[	[	X
cana-3200	285	2	19	19	NUM
cana-3200	285	3	]	]	X
cana-3200	285	4	chien	chien	PROPN
cana-3200	285	5	-	-	PUNCT
cana-3200	285	6	yao	yao	PROPN
cana-3200	285	7	wang	wang	PROPN
cana-3200	285	8	et.al	et.al	PROPN
cana-3200	285	9	.	.	PUNCT
cana-3200	286	1	“	"	PUNCT
cana-3200	286	2	yolov7	yolov7	NOUN
cana-3200	286	3	:	:	PUNCT
cana-3200	286	4	trainable	trainable	ADJ
cana-3200	286	5	bag	bag	NOUN
cana-3200	286	6	-	-	PUNCT
cana-3200	286	7	of	of	ADP
cana-3200	286	8	-	-	PUNCT
cana-3200	286	9	freebies	freebie	NOUN
cana-3200	286	10	sets	set	VERB
cana-3200	286	11	new	new	ADJ
cana-3200	286	12	state	state	NOUN
cana-3200	286	13	-	-	PUNCT
cana-3200	286	14	of	of	ADP
cana-3200	286	15	-	-	PUNCT
cana-3200	286	16	the	the	DET
cana-3200	286	17	-	-	PUNCT
cana-3200	286	18	art	art	NOUN
cana-3200	286	19	for	for	ADP
cana-3200	286	20	real	real	ADJ
cana-3200	286	21	-	-	PUNCT
cana-3200	286	22	time	time	NOUN
cana-3200	286	23	object	object	NOUN
cana-3200	286	24	detectors	detector	NOUN
cana-3200	286	25	”	"	PUNCT
cana-3200	286	26	,	,	PUNCT
cana-3200	286	27	institute	institute	NOUN
cana-3200	286	28	of	of	ADP
cana-3200	286	29	information	information	NOUN
cana-3200	286	30	science	science	NOUN
cana-3200	286	31	,	,	PUNCT
cana-3200	286	32	2022	2022	NUM
cana-3200	286	33	[	[	X
cana-3200	286	34	20	20	NUM
cana-3200	286	35	]	]	X
cana-3200	286	36	pier	pier	PROPN
cana-3200	286	37	matteo	matteo	PROPN
cana-3200	286	38	barone	barone	PROPN
cana-3200	286	39	,	,	PUNCT
cana-3200	286	40	et.al	et.al	PROPN
cana-3200	286	41	.	.	PUNCT
cana-3200	287	1	"	"	PUNCT
cana-3200	287	2	materials	material	NOUN
cana-3200	287	3	for	for	ADP
cana-3200	287	4	the	the	DET
cana-3200	287	5	study	study	NOUN
cana-3200	287	6	of	of	ADP
cana-3200	287	7	the	the	DET
cana-3200	287	8	locus	locus	ADJ
cana-3200	287	9	operandi	operandi	NOUN
cana-3200	287	10	in	in	ADP
cana-3200	287	11	the	the	DET
cana-3200	287	12	search	search	NOUN
cana-3200	287	13	for	for	ADP
cana-3200	287	14	missing	miss	VERB
cana-3200	287	15	persons	person	NOUN
cana-3200	287	16	in	in	ADP
cana-3200	287	17	italy",american	italy",american	ADJ
cana-3200	287	18	university	university	PROPN
cana-3200	287	19	of	of	ADP
cana-3200	287	20	rome	rome	PROPN
cana-3200	287	21	,	,	PUNCT
cana-3200	287	22	2021	2021	NUM