id	sid	tid	token	lemma	pos
ajst-22335	1	1	academic	academic	ADJ
ajst-22335	1	2	journal	journal	NOUN
ajst-22335	1	3	of	of	ADP
ajst-22335	1	4	science	science	NOUN
ajst-22335	1	5	and	and	CCONJ
ajst-22335	1	6	technology	technology	NOUN
ajst-22335	1	7	issn	issn	NOUN
ajst-22335	1	8	:	:	PUNCT
ajst-22335	1	9	2771	2771	NUM
ajst-22335	1	10	-	-	SYM
ajst-22335	1	11	3032	3032	NUM
ajst-22335	1	12	|	|	NOUN
ajst-22335	1	13	vol	vol	NOUN
ajst-22335	1	14	.	.	PROPN
ajst-22335	2	1	11	11	NUM
ajst-22335	2	2	,	,	PUNCT
ajst-22335	2	3	no	no	INTJ
ajst-22335	2	4	.	.	NOUN
ajst-22335	2	5	2	2	NUM
ajst-22335	2	6	,	,	PUNCT
ajst-22335	2	7	2024	2024	NUM
ajst-22335	2	8	41	41	NUM
ajst-22335	2	9	a	a	DET
ajst-22335	2	10	survey	survey	NOUN
ajst-22335	2	11	on	on	ADP
ajst-22335	2	12	self‐supervised	self‐supervised	ADJ
ajst-22335	2	13	learning‐based	learning‐based	ADJ
ajst-22335	2	14	video	video	NOUN
ajst-22335	2	15	anomaly	anomaly	NOUN
ajst-22335	2	16	detection	detection	NOUN
ajst-22335	2	17	mengjie	mengjie	PROPN
ajst-22335	2	18	hu	hu	PROPN
ajst-22335	2	19	,	,	PUNCT
ajst-22335	2	20	qingtao	qingtao	PROPN
ajst-22335	2	21	wu	wu	PROPN
ajst-22335	2	22	school	school	NOUN
ajst-22335	2	23	of	of	ADP
ajst-22335	2	24	information	information	NOUN
ajst-22335	2	25	engineering	engineering	PROPN
ajst-22335	2	26	,	,	PUNCT
ajst-22335	2	27	henan	henan	PROPN
ajst-22335	2	28	university	university	PROPN
ajst-22335	2	29	of	of	ADP
ajst-22335	2	30	science	science	NOUN
ajst-22335	2	31	and	and	CCONJ
ajst-22335	2	32	technology	technology	NOUN
ajst-22335	2	33	,	,	PUNCT
ajst-22335	2	34	luoyang	luoyang	PROPN
ajst-22335	2	35	471023	471023	NUM
ajst-22335	2	36	,	,	PUNCT
ajst-22335	2	37	china	china	PROPN
ajst-22335	2	38	abstract	abstract	NOUN
ajst-22335	2	39	:	:	PUNCT
ajst-22335	2	40	video	video	NOUN
ajst-22335	2	41	anomaly	anomaly	NOUN
ajst-22335	2	42	detection	detection	NOUN
ajst-22335	2	43	(	(	PUNCT
ajst-22335	2	44	vad	vad	PROPN
ajst-22335	2	45	)	)	PUNCT
ajst-22335	2	46	exhibits	exhibit	VERB
ajst-22335	2	47	promising	promising	ADJ
ajst-22335	2	48	applications	application	NOUN
ajst-22335	2	49	across	across	ADP
ajst-22335	2	50	diverse	diverse	ADJ
ajst-22335	2	51	domains	domain	NOUN
ajst-22335	2	52	,	,	PUNCT
ajst-22335	2	53	bolstering	bolster	VERB
ajst-22335	2	54	intelligence	intelligence	NOUN
ajst-22335	2	55	,	,	PUNCT
ajst-22335	2	56	security	security	NOUN
ajst-22335	2	57	,	,	PUNCT
ajst-22335	2	58	and	and	CCONJ
ajst-22335	2	59	operational	operational	ADJ
ajst-22335	2	60	efficiency	efficiency	NOUN
ajst-22335	2	61	,	,	PUNCT
ajst-22335	2	62	thereby	thereby	ADV
ajst-22335	2	63	catalyzing	catalyze	VERB
ajst-22335	2	64	industry	industry	NOUN
ajst-22335	2	65	growth	growth	NOUN
ajst-22335	2	66	.	.	PUNCT
ajst-22335	3	1	this	this	DET
ajst-22335	3	2	paper	paper	NOUN
ajst-22335	3	3	begins	begin	VERB
ajst-22335	3	4	by	by	ADP
ajst-22335	3	5	examining	examine	VERB
ajst-22335	3	6	the	the	DET
ajst-22335	3	7	research	research	NOUN
ajst-22335	3	8	background	background	NOUN
ajst-22335	3	9	and	and	CCONJ
ajst-22335	3	10	significance	significance	NOUN
ajst-22335	3	11	of	of	ADP
ajst-22335	3	12	vad	vad	PROPN
ajst-22335	3	13	,	,	PUNCT
ajst-22335	3	14	providing	provide	VERB
ajst-22335	3	15	an	an	DET
ajst-22335	3	16	in	in	ADP
ajst-22335	3	17	-	-	PUNCT
ajst-22335	3	18	depth	depth	NOUN
ajst-22335	3	19	analysis	analysis	NOUN
ajst-22335	3	20	of	of	ADP
ajst-22335	3	21	its	its	PRON
ajst-22335	3	22	relevance	relevance	NOUN
ajst-22335	3	23	across	across	ADP
ajst-22335	3	24	various	various	ADJ
ajst-22335	3	25	sectors	sector	NOUN
ajst-22335	3	26	.	.	PUNCT
ajst-22335	4	1	subsequently	subsequently	ADV
ajst-22335	4	2	,	,	PUNCT
ajst-22335	4	3	from	from	ADP
ajst-22335	4	4	a	a	DET
ajst-22335	4	5	machine	machine	NOUN
ajst-22335	4	6	learning	learn	VERB
ajst-22335	4	7	standpoint	standpoint	NOUN
ajst-22335	4	8	,	,	PUNCT
ajst-22335	4	9	recent	recent	ADJ
ajst-22335	4	10	advancements	advancement	NOUN
ajst-22335	4	11	in	in	ADP
ajst-22335	4	12	self	self	NOUN
ajst-22335	4	13	-	-	PUNCT
ajst-22335	4	14	supervised	supervise	VERB
ajst-22335	4	15	learning	learning	NOUN
ajst-22335	4	16	(	(	PUNCT
ajst-22335	4	17	ssl)-based	ssl)-base	VERB
ajst-22335	4	18	vad	vad	NOUN
ajst-22335	4	19	models	model	NOUN
ajst-22335	4	20	are	be	AUX
ajst-22335	4	21	systematically	systematically	ADV
ajst-22335	4	22	categorized	categorize	VERB
ajst-22335	4	23	and	and	CCONJ
ajst-22335	4	24	summarized	summarize	VERB
ajst-22335	4	25	,	,	PUNCT
ajst-22335	4	26	elucidating	elucidate	VERB
ajst-22335	4	27	their	their	PRON
ajst-22335	4	28	underlying	underlie	VERB
ajst-22335	4	29	principles	principle	NOUN
ajst-22335	4	30	and	and	CCONJ
ajst-22335	4	31	deployment	deployment	NOUN
ajst-22335	4	32	scenarios	scenario	NOUN
ajst-22335	4	33	.	.	PUNCT
ajst-22335	5	1	additionally	additionally	ADV
ajst-22335	5	2	,	,	PUNCT
ajst-22335	5	3	commonly	commonly	ADV
ajst-22335	5	4	utilized	utilize	VERB
ajst-22335	5	5	datasets	dataset	NOUN
ajst-22335	5	6	in	in	ADP
ajst-22335	5	7	vad	vad	PROPN
ajst-22335	5	8	are	be	AUX
ajst-22335	5	9	introduced	introduce	VERB
ajst-22335	5	10	to	to	PART
ajst-22335	5	11	facilitate	facilitate	VERB
ajst-22335	5	12	readers	reader	NOUN
ajst-22335	5	13	'	'	PART
ajst-22335	5	14	understanding	understanding	NOUN
ajst-22335	5	15	of	of	ADP
ajst-22335	5	16	model	model	NOUN
ajst-22335	5	17	assessment	assessment	NOUN
ajst-22335	5	18	and	and	CCONJ
ajst-22335	5	19	comparative	comparative	ADJ
ajst-22335	5	20	analysis	analysis	NOUN
ajst-22335	5	21	.	.	PUNCT
ajst-22335	6	1	lastly	lastly	ADV
ajst-22335	6	2	,	,	PUNCT
ajst-22335	6	3	discussions	discussion	NOUN
ajst-22335	6	4	on	on	ADP
ajst-22335	6	5	future	future	ADJ
ajst-22335	6	6	trajectories	trajectory	NOUN
ajst-22335	6	7	and	and	CCONJ
ajst-22335	6	8	extant	extant	ADJ
ajst-22335	6	9	challenges	challenge	NOUN
ajst-22335	6	10	in	in	ADP
ajst-22335	6	11	vad	vad	PROPN
ajst-22335	6	12	are	be	AUX
ajst-22335	6	13	undertaken	undertake	VERB
ajst-22335	6	14	to	to	PART
ajst-22335	6	15	foster	foster	VERB
ajst-22335	6	16	deeper	deep	ADJ
ajst-22335	6	17	exploration	exploration	NOUN
ajst-22335	6	18	and	and	CCONJ
ajst-22335	6	19	propel	propel	VERB
ajst-22335	6	20	the	the	DET
ajst-22335	6	21	advancement	advancement	NOUN
ajst-22335	6	22	of	of	ADP
ajst-22335	6	23	this	this	DET
ajst-22335	6	24	domain	domain	NOUN
ajst-22335	6	25	.	.	PUNCT
ajst-22335	7	1	keywords	keyword	NOUN
ajst-22335	7	2	:	:	PUNCT
ajst-22335	7	3	video	video	NOUN
ajst-22335	7	4	anomaly	anomaly	NOUN
ajst-22335	7	5	detection	detection	NOUN
ajst-22335	7	6	(	(	PUNCT
ajst-22335	7	7	vad	vad	PROPN
ajst-22335	7	8	)	)	PUNCT
ajst-22335	7	9	;	;	PUNCT
ajst-22335	7	10	self	self	NOUN
ajst-22335	7	11	-	-	PUNCT
ajst-22335	7	12	supervised	supervise	VERB
ajst-22335	7	13	learning	learning	NOUN
ajst-22335	7	14	;	;	PUNCT
ajst-22335	7	15	machine	machine	NOUN
ajst-22335	7	16	learning	learning	NOUN
ajst-22335	7	17	standpoint	standpoint	NOUN
ajst-22335	7	18	;	;	PUNCT
ajst-22335	7	19	commonly	commonly	ADV
ajst-22335	7	20	utilized	utilize	VERB
ajst-22335	7	21	datasets	dataset	NOUN
ajst-22335	7	22	in	in	ADP
ajst-22335	7	23	vad	vad	PROPN
ajst-22335	7	24	;	;	PUNCT
ajst-22335	7	25	promote	promote	VERB
ajst-22335	7	26	the	the	DET
ajst-22335	7	27	future	future	ADJ
ajst-22335	7	28	development	development	NOUN
ajst-22335	7	29	of	of	ADP
ajst-22335	7	30	vad	vad	PROPN
ajst-22335	7	31	.	.	PROPN
ajst-22335	7	32	1	1	NUM
ajst-22335	7	33	.	.	PUNCT
ajst-22335	8	1	introduction	introduction	NOUN
ajst-22335	8	2	in	in	ADP
ajst-22335	8	3	recent	recent	ADJ
ajst-22335	8	4	years	year	NOUN
ajst-22335	8	5	,	,	PUNCT
ajst-22335	8	6	anomaly	anomaly	NOUN
ajst-22335	8	7	detection	detection	NOUN
ajst-22335	8	8	technology	technology	NOUN
ajst-22335	8	9	has	have	AUX
ajst-22335	8	10	garnered	garner	VERB
ajst-22335	8	11	significant	significant	ADJ
ajst-22335	8	12	attention	attention	NOUN
ajst-22335	8	13	in	in	ADP
ajst-22335	8	14	the	the	DET
ajst-22335	8	15	field	field	NOUN
ajst-22335	8	16	of	of	ADP
ajst-22335	8	17	computer	computer	NOUN
ajst-22335	8	18	vision	vision	NOUN
ajst-22335	8	19	.	.	PUNCT
ajst-22335	9	1	as	as	SCONJ
ajst-22335	9	2	it	it	PRON
ajst-22335	9	3	continues	continue	VERB
ajst-22335	9	4	to	to	PART
ajst-22335	9	5	evolve	evolve	VERB
ajst-22335	9	6	,	,	PUNCT
ajst-22335	9	7	there	there	PRON
ajst-22335	9	8	is	be	VERB
ajst-22335	9	9	a	a	DET
ajst-22335	9	10	pressing	press	VERB
ajst-22335	9	11	need	need	NOUN
ajst-22335	9	12	for	for	ADP
ajst-22335	9	13	this	this	DET
ajst-22335	9	14	technology	technology	NOUN
ajst-22335	9	15	across	across	ADP
ajst-22335	9	16	various	various	ADJ
ajst-22335	9	17	domains	domain	NOUN
ajst-22335	9	18	to	to	PART
ajst-22335	9	19	drive	drive	VERB
ajst-22335	9	20	technological	technological	ADJ
ajst-22335	9	21	innovation	innovation	NOUN
ajst-22335	9	22	.	.	PUNCT
ajst-22335	10	1	in	in	ADP
ajst-22335	10	2	the	the	DET
ajst-22335	10	3	education	education	NOUN
ajst-22335	10	4	sector	sector	NOUN
ajst-22335	10	5	,	,	PUNCT
ajst-22335	10	6	it	it	PRON
ajst-22335	10	7	can	can	AUX
ajst-22335	10	8	be	be	AUX
ajst-22335	10	9	utilized	utilize	VERB
ajst-22335	10	10	to	to	PART
ajst-22335	10	11	monitor	monitor	VERB
ajst-22335	10	12	student	student	NOUN
ajst-22335	10	13	behavior	behavior	NOUN
ajst-22335	10	14	and	and	CCONJ
ajst-22335	10	15	identify	identify	VERB
ajst-22335	10	16	and	and	CCONJ
ajst-22335	10	17	intervene	intervene	VERB
ajst-22335	10	18	in	in	ADP
ajst-22335	10	19	bullying	bully	VERB
ajst-22335	10	20	incidents	incident	NOUN
ajst-22335	10	21	.	.	PUNCT
ajst-22335	11	1	in	in	ADP
ajst-22335	11	2	the	the	DET
ajst-22335	11	3	retail	retail	ADJ
ajst-22335	11	4	industry	industry	NOUN
ajst-22335	11	5	,	,	PUNCT
ajst-22335	11	6	analyzing	analyze	VERB
ajst-22335	11	7	customer	customer	NOUN
ajst-22335	11	8	behavior	behavior	NOUN
ajst-22335	11	9	can	can	AUX
ajst-22335	11	10	optimize	optimize	VERB
ajst-22335	11	11	store	store	NOUN
ajst-22335	11	12	layout	layout	NOUN
ajst-22335	11	13	and	and	CCONJ
ajst-22335	11	14	enhance	enhance	VERB
ajst-22335	11	15	the	the	DET
ajst-22335	11	16	shopping	shopping	NOUN
ajst-22335	11	17	experience	experience	NOUN
ajst-22335	11	18	.	.	PUNCT
ajst-22335	12	1	the	the	DET
ajst-22335	12	2	financial	financial	ADJ
ajst-22335	12	3	services	service	NOUN
ajst-22335	12	4	sector	sector	NOUN
ajst-22335	12	5	can	can	AUX
ajst-22335	12	6	leverage	leverage	VERB
ajst-22335	12	7	anomaly	anomaly	NOUN
ajst-22335	12	8	detection	detection	NOUN
ajst-22335	12	9	technology	technology	NOUN
ajst-22335	12	10	to	to	PART
ajst-22335	12	11	monitor	monitor	VERB
ajst-22335	12	12	and	and	CCONJ
ajst-22335	12	13	prevent	prevent	VERB
ajst-22335	12	14	fraudulent	fraudulent	ADJ
ajst-22335	12	15	activities	activity	NOUN
ajst-22335	12	16	,	,	PUNCT
ajst-22335	12	17	thereby	thereby	ADV
ajst-22335	12	18	improving	improve	VERB
ajst-22335	12	19	transaction	transaction	NOUN
ajst-22335	12	20	security	security	NOUN
ajst-22335	12	21	.	.	PUNCT
ajst-22335	13	1	multiple	multiple	ADJ
ajst-22335	13	2	industries	industry	NOUN
ajst-22335	13	3	are	be	AUX
ajst-22335	13	4	actively	actively	ADV
ajst-22335	13	5	exploring	explore	VERB
ajst-22335	13	6	the	the	DET
ajst-22335	13	7	integration	integration	NOUN
ajst-22335	13	8	of	of	ADP
ajst-22335	13	9	this	this	DET
ajst-22335	13	10	technology	technology	NOUN
ajst-22335	13	11	into	into	ADP
ajst-22335	13	12	their	their	PRON
ajst-22335	13	13	operations	operation	NOUN
ajst-22335	13	14	and	and	CCONJ
ajst-22335	13	15	security	security	NOUN
ajst-22335	13	16	systems	system	NOUN
ajst-22335	13	17	to	to	PART
ajst-22335	13	18	enhance	enhance	VERB
ajst-22335	13	19	efficiency	efficiency	NOUN
ajst-22335	13	20	,	,	PUNCT
ajst-22335	13	21	ensure	ensure	VERB
ajst-22335	13	22	safety	safety	NOUN
ajst-22335	13	23	,	,	PUNCT
ajst-22335	13	24	and	and	CCONJ
ajst-22335	13	25	even	even	ADV
ajst-22335	13	26	develop	develop	VERB
ajst-22335	13	27	new	new	ADJ
ajst-22335	13	28	business	business	NOUN
ajst-22335	13	29	models	model	NOUN
ajst-22335	13	30	.	.	PUNCT
ajst-22335	14	1	vad	vad	PROPN
ajst-22335	14	2	[	[	X
ajst-22335	14	3	1	1	NUM
ajst-22335	14	4	]	]	PUNCT
ajst-22335	14	5	aims	aim	VERB
ajst-22335	14	6	to	to	PART
ajst-22335	14	7	identify	identify	VERB
ajst-22335	14	8	abnormalities	abnormality	NOUN
ajst-22335	14	9	in	in	ADP
ajst-22335	14	10	videos	video	NOUN
ajst-22335	14	11	,	,	PUNCT
ajst-22335	14	12	such	such	ADJ
ajst-22335	14	13	as	as	ADP
ajst-22335	14	14	unusual	unusual	ADJ
ajst-22335	14	15	object	object	NOUN
ajst-22335	14	16	behaviors	behavior	NOUN
ajst-22335	14	17	,	,	PUNCT
ajst-22335	14	18	atypical	atypical	ADJ
ajst-22335	14	19	motion	motion	NOUN
ajst-22335	14	20	patterns	pattern	NOUN
ajst-22335	14	21	,	,	PUNCT
ajst-22335	14	22	abnormal	abnormal	ADJ
ajst-22335	14	23	visual	visual	ADJ
ajst-22335	14	24	features	feature	NOUN
ajst-22335	14	25	,	,	PUNCT
ajst-22335	14	26	or	or	CCONJ
ajst-22335	14	27	anomalous	anomalous	ADJ
ajst-22335	14	28	events	event	NOUN
ajst-22335	14	29	.	.	PUNCT
ajst-22335	15	1	in	in	ADP
ajst-22335	15	2	surveillance	surveillance	NOUN
ajst-22335	15	3	systems	system	NOUN
ajst-22335	15	4	,	,	PUNCT
ajst-22335	15	5	analyzing	analyze	VERB
ajst-22335	15	6	video	video	NOUN
ajst-22335	15	7	streams	stream	NOUN
ajst-22335	15	8	captured	capture	VERB
ajst-22335	15	9	by	by	ADP
ajst-22335	15	10	surveillance	surveillance	NOUN
ajst-22335	15	11	cameras	camera	NOUN
ajst-22335	15	12	enables	enable	VERB
ajst-22335	15	13	the	the	DET
ajst-22335	15	14	timely	timely	ADJ
ajst-22335	15	15	detection	detection	NOUN
ajst-22335	15	16	of	of	ADP
ajst-22335	15	17	anomalies	anomaly	NOUN
ajst-22335	15	18	such	such	ADJ
ajst-22335	15	19	as	as	ADP
ajst-22335	15	20	intrusion	intrusion	NOUN
ajst-22335	15	21	,	,	PUNCT
ajst-22335	15	22	theft	theft	NOUN
ajst-22335	15	23	,	,	PUNCT
ajst-22335	15	24	and	and	CCONJ
ajst-22335	15	25	violence	violence	NOUN
ajst-22335	16	1	[	[	X
ajst-22335	16	2	2	2	NUM
ajst-22335	16	3	]	]	PUNCT
ajst-22335	16	4	,	,	PUNCT
ajst-22335	16	5	thereby	thereby	ADV
ajst-22335	16	6	enhancing	enhance	VERB
ajst-22335	16	7	security	security	NOUN
ajst-22335	16	8	in	in	ADP
ajst-22335	16	9	both	both	CCONJ
ajst-22335	16	10	public	public	ADJ
ajst-22335	16	11	and	and	CCONJ
ajst-22335	16	12	private	private	ADJ
ajst-22335	16	13	domains	domain	NOUN
ajst-22335	16	14	.	.	PUNCT
ajst-22335	17	1	in	in	ADP
ajst-22335	17	2	the	the	DET
ajst-22335	17	3	industrial	industrial	ADJ
ajst-22335	17	4	sector	sector	NOUN
ajst-22335	17	5	,	,	PUNCT
ajst-22335	17	6	vad	vad	PROPN
ajst-22335	17	7	can	can	AUX
ajst-22335	17	8	monitor	monitor	VERB
ajst-22335	17	9	anomalies	anomaly	NOUN
ajst-22335	17	10	on	on	ADP
ajst-22335	17	11	production	production	NOUN
ajst-22335	17	12	lines	line	NOUN
ajst-22335	17	13	,	,	PUNCT
ajst-22335	17	14	including	include	VERB
ajst-22335	17	15	equipment	equipment	NOUN
ajst-22335	17	16	malfunctions	malfunction	NOUN
ajst-22335	17	17	and	and	CCONJ
ajst-22335	17	18	production	production	NOUN
ajst-22335	17	19	line	line	NOUN
ajst-22335	17	20	halts	halt	VERB
ajst-22335	17	21	[	[	X
ajst-22335	17	22	3	3	NUM
ajst-22335	17	23	]	]	PUNCT
ajst-22335	17	24	,	,	PUNCT
ajst-22335	17	25	facilitating	facilitate	VERB
ajst-22335	17	26	timely	timely	ADJ
ajst-22335	17	27	intervention	intervention	NOUN
ajst-22335	17	28	to	to	PART
ajst-22335	17	29	improve	improve	VERB
ajst-22335	17	30	production	production	NOUN
ajst-22335	17	31	efficiency	efficiency	NOUN
ajst-22335	17	32	and	and	CCONJ
ajst-22335	17	33	reliability	reliability	NOUN
ajst-22335	17	34	.	.	PUNCT
ajst-22335	18	1	in	in	ADP
ajst-22335	18	2	traffic	traffic	NOUN
ajst-22335	18	3	monitoring	monitoring	NOUN
ajst-22335	18	4	systems	system	NOUN
ajst-22335	18	5	,	,	PUNCT
ajst-22335	18	6	it	it	PRON
ajst-22335	18	7	can	can	AUX
ajst-22335	18	8	detect	detect	VERB
ajst-22335	18	9	anomalies	anomaly	NOUN
ajst-22335	18	10	such	such	ADJ
ajst-22335	18	11	as	as	ADP
ajst-22335	18	12	traffic	traffic	NOUN
ajst-22335	18	13	accidents	accident	NOUN
ajst-22335	18	14	,	,	PUNCT
ajst-22335	18	15	congestion	congestion	NOUN
ajst-22335	18	16	,	,	PUNCT
ajst-22335	18	17	and	and	CCONJ
ajst-22335	18	18	traffic	traffic	NOUN
ajst-22335	18	19	violations	violation	NOUN
ajst-22335	18	20	[	[	X
ajst-22335	18	21	4	4	NUM
ajst-22335	18	22	]	]	PUNCT
ajst-22335	18	23	,	,	PUNCT
ajst-22335	18	24	thereby	thereby	ADV
ajst-22335	18	25	enhancing	enhance	VERB
ajst-22335	18	26	the	the	DET
ajst-22335	18	27	efficiency	efficiency	NOUN
ajst-22335	18	28	and	and	CCONJ
ajst-22335	18	29	safety	safety	NOUN
ajst-22335	18	30	of	of	ADP
ajst-22335	18	31	road	road	NOUN
ajst-22335	18	32	traffic	traffic	NOUN
ajst-22335	18	33	management	management	NOUN
ajst-22335	18	34	.	.	PUNCT
ajst-22335	19	1	overall	overall	ADJ
ajst-22335	19	2	,	,	PUNCT
ajst-22335	19	3	with	with	ADP
ajst-22335	19	4	the	the	DET
ajst-22335	19	5	development	development	NOUN
ajst-22335	19	6	of	of	ADP
ajst-22335	19	7	computer	computer	NOUN
ajst-22335	19	8	vision	vision	NOUN
ajst-22335	19	9	and	and	CCONJ
ajst-22335	19	10	machine	machine	NOUN
ajst-22335	19	11	learning	learning	NOUN
ajst-22335	19	12	technologies	technology	NOUN
ajst-22335	19	13	,	,	PUNCT
ajst-22335	19	14	research	research	NOUN
ajst-22335	19	15	and	and	CCONJ
ajst-22335	19	16	applications	application	NOUN
ajst-22335	19	17	of	of	ADP
ajst-22335	19	18	vad	vad	PROPN
ajst-22335	19	19	are	be	AUX
ajst-22335	19	20	becoming	become	VERB
ajst-22335	19	21	increasingly	increasingly	ADV
ajst-22335	19	22	important	important	ADJ
ajst-22335	19	23	.	.	PUNCT
ajst-22335	20	1	however	however	ADV
ajst-22335	20	2	,	,	PUNCT
ajst-22335	20	3	the	the	DET
ajst-22335	20	4	challenges	challenge	NOUN
ajst-22335	20	5	and	and	CCONJ
ajst-22335	20	6	issues	issue	NOUN
ajst-22335	20	7	facing	face	VERB
ajst-22335	20	8	vad	vad	PROPN
ajst-22335	20	9	are	be	AUX
ajst-22335	20	10	illustrated	illustrate	VERB
ajst-22335	20	11	in	in	ADP
ajst-22335	20	12	fig	fig	NOUN
ajst-22335	20	13	1	1	NUM
ajst-22335	20	14	.	.	PUNCT
ajst-22335	21	1	this	this	DET
ajst-22335	21	2	paper	paper	NOUN
ajst-22335	21	3	primarily	primarily	ADV
ajst-22335	21	4	summarizes	summarize	VERB
ajst-22335	21	5	existing	exist	VERB
ajst-22335	21	6	research	research	NOUN
ajst-22335	21	7	achievements	achievement	NOUN
ajst-22335	21	8	in	in	ADP
ajst-22335	21	9	vad	vad	PROPN
ajst-22335	21	10	based	base	VERB
ajst-22335	21	11	on	on	ADP
ajst-22335	21	12	self	self	NOUN
ajst-22335	21	13	-	-	PUNCT
ajst-22335	21	14	supervised	supervise	VERB
ajst-22335	21	15	learning	learning	NOUN
ajst-22335	21	16	.	.	PUNCT
ajst-22335	22	1	it	it	PRON
ajst-22335	22	2	provides	provide	VERB
ajst-22335	22	3	a	a	DET
ajst-22335	22	4	detailed	detailed	ADJ
ajst-22335	22	5	introduction	introduction	NOUN
ajst-22335	22	6	from	from	ADP
ajst-22335	22	7	the	the	DET
ajst-22335	22	8	perspectives	perspective	NOUN
ajst-22335	22	9	of	of	ADP
ajst-22335	22	10	vad	vad	PROPN
ajst-22335	22	11	methods	method	NOUN
ajst-22335	22	12	and	and	CCONJ
ajst-22335	22	13	benchmark	benchmark	NOUN
ajst-22335	22	14	datasets	dataset	NOUN
ajst-22335	22	15	and	and	CCONJ
ajst-22335	22	16	discusses	discuss	VERB
ajst-22335	22	17	prospects	prospect	NOUN
ajst-22335	22	18	and	and	CCONJ
ajst-22335	22	19	directions	direction	NOUN
ajst-22335	22	20	for	for	ADP
ajst-22335	22	21	future	future	ADJ
ajst-22335	22	22	research	research	NOUN
ajst-22335	22	23	.	.	PUNCT
ajst-22335	23	1	complex	complex	ADJ
ajst-22335	23	2	scene	scene	NOUN
ajst-22335	23	3	and	and	CCONJ
ajst-22335	23	4	background	background	NOUN
ajst-22335	23	5	changes	change	VERB
ajst-22335	23	6	data	datum	NOUN
ajst-22335	23	7	volume	volume	NOUN
ajst-22335	23	8	and	and	CCONJ
ajst-22335	23	9	computational	computational	ADJ
ajst-22335	23	10	complexity	complexity	NOUN
ajst-22335	23	11	sample	sample	NOUN
ajst-22335	23	12	imbalance	imbalance	NOUN
ajst-22335	23	13	diversified	diversify	VERB
ajst-22335	23	14	and	and	CCONJ
ajst-22335	23	15	complicated	complicated	ADJ
ajst-22335	23	16	exception	exception	NOUN
ajst-22335	23	17	types	type	NOUN
ajst-22335	23	18	diversified	diversify	VERB
ajst-22335	23	19	and	and	CCONJ
ajst-22335	23	20	complicated	complicated	ADJ
ajst-22335	23	21	exception	exception	NOUN
ajst-22335	23	22	types	type	NOUN
ajst-22335	23	23	algorithm	algorithm	NOUN
ajst-22335	23	24	interpretability	interpretability	NOUN
ajst-22335	23	25	challenges	challenge	NOUN
ajst-22335	23	26	fig	fig	NOUN
ajst-22335	23	27	1	1	NUM
ajst-22335	23	28	.	.	PUNCT
ajst-22335	24	1	problems	problem	NOUN
ajst-22335	24	2	and	and	CCONJ
ajst-22335	24	3	challenges	challenge	NOUN
ajst-22335	24	4	faced	face	VERB
ajst-22335	24	5	by	by	ADP
ajst-22335	24	6	vad	vad	PROPN
ajst-22335	24	7	42	42	NUM
ajst-22335	24	8	2	2	NUM
ajst-22335	24	9	.	.	PUNCT
ajst-22335	25	1	vad	vad	PROPN
ajst-22335	25	2	based	base	VERB
ajst-22335	25	3	on	on	ADP
ajst-22335	25	4	self	self	NOUN
ajst-22335	25	5	-	-	PUNCT
ajst-22335	25	6	supervised	supervise	VERB
ajst-22335	25	7	learning	learning	NOUN
ajst-22335	25	8	self	self	NOUN
ajst-22335	25	9	-	-	PUNCT
ajst-22335	25	10	supervised	supervise	VERB
ajst-22335	25	11	learning	learning	NOUN
ajst-22335	25	12	aims	aim	VERB
ajst-22335	25	13	to	to	PART
ajst-22335	25	14	more	more	ADV
ajst-22335	25	15	effectively	effectively	ADV
ajst-22335	25	16	utilize	utilize	VERB
ajst-22335	25	17	data	datum	NOUN
ajst-22335	25	18	for	for	ADP
ajst-22335	25	19	model	model	NOUN
ajst-22335	25	20	training	training	NOUN
ajst-22335	25	21	,	,	PUNCT
ajst-22335	25	22	reducing	reduce	VERB
ajst-22335	25	23	the	the	DET
ajst-22335	25	24	human	human	ADJ
ajst-22335	25	25	and	and	CCONJ
ajst-22335	25	26	time	time	NOUN
ajst-22335	25	27	costs	cost	NOUN
ajst-22335	25	28	of	of	ADP
ajst-22335	25	29	tasks	task	NOUN
ajst-22335	25	30	such	such	ADJ
ajst-22335	25	31	as	as	ADP
ajst-22335	25	32	vad	vad	PROPN
ajst-22335	25	33	.	.	PROPN
ajst-22335	26	1	the	the	DET
ajst-22335	26	2	methods	method	NOUN
ajst-22335	26	3	include	include	VERB
ajst-22335	26	4	:	:	PUNCT
ajst-22335	26	5	(	(	PUNCT
ajst-22335	26	6	1	1	X
ajst-22335	26	7	)	)	PUNCT
ajst-22335	26	8	reconstruction	reconstruction	NOUN
ajst-22335	26	9	error	error	NOUN
ajst-22335	26	10	.	.	PUNCT
ajst-22335	27	1	(	(	PUNCT
ajst-22335	27	2	2	2	X
ajst-22335	27	3	)	)	PUNCT
ajst-22335	27	4	spatio	spatio	NOUN
ajst-22335	27	5	-	-	PUNCT
ajst-22335	27	6	temporal	temporal	ADJ
ajst-22335	27	7	consistency	consistency	NOUN
ajst-22335	27	8	.	.	PUNCT
ajst-22335	28	1	(	(	PUNCT
ajst-22335	28	2	3	3	X
ajst-22335	28	3	)	)	PUNCT
ajst-22335	28	4	self	self	NOUN
ajst-22335	28	5	-	-	PUNCT
ajst-22335	28	6	supervised	supervise	VERB
ajst-22335	28	7	contrastive	contrastive	ADJ
ajst-22335	28	8	learning	learning	NOUN
ajst-22335	28	9	.	.	PUNCT
ajst-22335	29	1	(	(	PUNCT
ajst-22335	29	2	4	4	X
ajst-22335	29	3	)	)	PUNCT
ajst-22335	29	4	generative	generative	ADJ
ajst-22335	29	5	models	model	NOUN
ajst-22335	29	6	.	.	PUNCT
ajst-22335	30	1	2.1	2.1	NUM
ajst-22335	30	2	.	.	PUNCT
ajst-22335	30	3	reconstruction	reconstruction	NOUN
ajst-22335	30	4	error	error	NOUN
ajst-22335	30	5	the	the	DET
ajst-22335	30	6	reconstruction	reconstruction	NOUN
ajst-22335	30	7	error	error	NOUN
ajst-22335	30	8	method	method	NOUN
ajst-22335	30	9	utilizes	utilize	VERB
ajst-22335	30	10	autoencoders	autoencoder	NOUN
ajst-22335	30	11	or	or	CCONJ
ajst-22335	30	12	generative	generative	ADJ
ajst-22335	30	13	adversarial	adversarial	ADJ
ajst-22335	30	14	network	network	NOUN
ajst-22335	30	15	(	(	PUNCT
ajst-22335	30	16	gan	gan	PROPN
ajst-22335	30	17	)	)	PUNCT
ajst-22335	30	18	to	to	PART
ajst-22335	30	19	map	map	VERB
ajst-22335	30	20	video	video	NOUN
ajst-22335	30	21	sequences	sequence	NOUN
ajst-22335	30	22	to	to	ADP
ajst-22335	30	23	low	low	ADJ
ajst-22335	30	24	-	-	PUNCT
ajst-22335	30	25	dimensional	dimensional	ADJ
ajst-22335	30	26	representations	representation	NOUN
ajst-22335	30	27	and	and	CCONJ
ajst-22335	30	28	then	then	ADV
ajst-22335	30	29	map	map	VERB
ajst-22335	30	30	them	they	PRON
ajst-22335	30	31	back	back	ADV
ajst-22335	30	32	to	to	ADP
ajst-22335	30	33	the	the	DET
ajst-22335	30	34	original	original	ADJ
ajst-22335	30	35	video	video	NOUN
ajst-22335	30	36	sequences	sequence	NOUN
ajst-22335	30	37	.	.	PUNCT
ajst-22335	31	1	anomaly	anomaly	PROPN
ajst-22335	31	2	detection	detection	NOUN
ajst-22335	31	3	is	be	AUX
ajst-22335	31	4	based	base	VERB
ajst-22335	31	5	on	on	ADP
ajst-22335	31	6	the	the	DET
ajst-22335	31	7	error	error	NOUN
ajst-22335	31	8	between	between	ADP
ajst-22335	31	9	the	the	DET
ajst-22335	31	10	reconstructed	reconstructed	ADJ
ajst-22335	31	11	video	video	NOUN
ajst-22335	31	12	and	and	CCONJ
ajst-22335	31	13	the	the	DET
ajst-22335	31	14	original	original	ADJ
ajst-22335	31	15	video	video	NOUN
ajst-22335	31	16	,	,	PUNCT
ajst-22335	31	17	with	with	ADP
ajst-22335	31	18	anomalies	anomaly	NOUN
ajst-22335	31	19	typically	typically	ADV
ajst-22335	31	20	resulting	result	VERB
ajst-22335	31	21	in	in	ADP
ajst-22335	31	22	larger	large	ADJ
ajst-22335	31	23	errors	error	NOUN
ajst-22335	31	24	.	.	PUNCT
ajst-22335	32	1	recently	recently	ADV
ajst-22335	32	2	,	,	PUNCT
ajst-22335	32	3	wang	wang	PROPN
ajst-22335	32	4	[	[	X
ajst-22335	32	5	5	5	NUM
ajst-22335	32	6	]	]	PUNCT
ajst-22335	32	7	proposed	propose	VERB
ajst-22335	32	8	the	the	DET
ajst-22335	32	9	memory	memory	NOUN
ajst-22335	32	10	-	-	PUNCT
ajst-22335	32	11	augmented	augment	VERB
ajst-22335	32	12	appearance	appearance	NOUN
ajst-22335	32	13	and	and	CCONJ
ajst-22335	32	14	motion	motion	NOUN
ajst-22335	32	15	network	network	NOUN
ajst-22335	32	16	(	(	PUNCT
ajst-22335	32	17	maam	maam	NOUN
ajst-22335	32	18	-	-	PUNCT
ajst-22335	32	19	net	net	NOUN
ajst-22335	32	20	)	)	PUNCT
ajst-22335	32	21	to	to	PART
ajst-22335	32	22	address	address	VERB
ajst-22335	32	23	the	the	DET
ajst-22335	32	24	challenge	challenge	NOUN
ajst-22335	32	25	of	of	ADP
ajst-22335	32	26	constrained	constrained	ADJ
ajst-22335	32	27	defect	defect	NOUN
ajst-22335	32	28	boundaries	boundary	NOUN
ajst-22335	32	29	.	.	PUNCT
ajst-22335	33	1	maam	maam	NOUN
ajst-22335	33	2	-	-	PUNCT
ajst-22335	33	3	net	net	NOUN
ajst-22335	33	4	utilizes	utilize	NOUN
ajst-22335	33	5	frame	frame	NOUN
ajst-22335	33	6	reconstruction	reconstruction	NOUN
ajst-22335	33	7	and	and	CCONJ
ajst-22335	33	8	flow	flow	NOUN
ajst-22335	33	9	prediction	prediction	NOUN
ajst-22335	33	10	,	,	PUNCT
ajst-22335	33	11	reassembling	reassemble	VERB
ajst-22335	33	12	normal	normal	ADJ
ajst-22335	33	13	events	event	NOUN
ajst-22335	33	14	through	through	ADP
ajst-22335	33	15	memory	memory	NOUN
ajst-22335	33	16	modules	module	NOUN
ajst-22335	33	17	to	to	PART
ajst-22335	33	18	handle	handle	VERB
ajst-22335	33	19	unknown	unknown	ADJ
ajst-22335	33	20	events	event	NOUN
ajst-22335	33	21	and	and	CCONJ
ajst-22335	33	22	introducing	introduce	VERB
ajst-22335	33	23	margin	margin	NOUN
ajst-22335	33	24	-	-	PUNCT
ajst-22335	33	25	based	base	VERB
ajst-22335	33	26	latent	latent	NOUN
ajst-22335	33	27	losses	loss	NOUN
ajst-22335	33	28	.	.	PUNCT
ajst-22335	34	1	xing	xing	PROPN
ajst-22335	35	1	[	[	X
ajst-22335	35	2	6	6	NUM
ajst-22335	35	3	]	]	PUNCT
ajst-22335	35	4	introduced	introduce	VERB
ajst-22335	35	5	a	a	DET
ajst-22335	35	6	histogram	histogram	NOUN
ajst-22335	35	7	error	error	NOUN
ajst-22335	35	8	estimation	estimation	NOUN
ajst-22335	35	9	module	module	NOUN
ajst-22335	35	10	to	to	PART
ajst-22335	35	11	eliminate	eliminate	VERB
ajst-22335	35	12	adverse	adverse	ADJ
ajst-22335	35	13	errors	error	NOUN
ajst-22335	35	14	,	,	PUNCT
ajst-22335	35	15	thus	thus	ADV
ajst-22335	35	16	improving	improve	VERB
ajst-22335	35	17	anomaly	anomaly	NOUN
ajst-22335	35	18	localization	localization	NOUN
ajst-22335	35	19	performance	performance	NOUN
ajst-22335	35	20	without	without	ADP
ajst-22335	35	21	increasing	increase	VERB
ajst-22335	35	22	costs	cost	NOUN
ajst-22335	35	23	.	.	PUNCT
ajst-22335	36	1	hyun	hyun	PROPN
ajst-22335	37	1	[	[	X
ajst-22335	37	2	7	7	X
ajst-22335	37	3	]	]	PUNCT
ajst-22335	37	4	introduced	introduce	VERB
ajst-22335	37	5	alienation	alienation	NOUN
ajst-22335	37	6	and	and	CCONJ
ajst-22335	37	7	assimilation	assimilation	NOUN
ajst-22335	37	8	strategies	strategy	NOUN
ajst-22335	37	9	to	to	PART
ajst-22335	37	10	diversify	diversify	VERB
ajst-22335	37	11	normal	normal	ADJ
ajst-22335	37	12	spatial	spatial	ADJ
ajst-22335	37	13	and	and	CCONJ
ajst-22335	37	14	temporal	temporal	ADJ
ajst-22335	37	15	information	information	NOUN
ajst-22335	37	16	by	by	ADP
ajst-22335	37	17	learning	learn	VERB
ajst-22335	37	18	fundamental	fundamental	ADJ
ajst-22335	37	19	patterns	pattern	NOUN
ajst-22335	37	20	of	of	ADP
ajst-22335	37	21	multi	multi	ADJ
ajst-22335	37	22	-	-	ADJ
ajst-22335	37	23	level	level	ADJ
ajst-22335	37	24	latent	latent	NOUN
ajst-22335	37	25	representations	representation	NOUN
ajst-22335	37	26	,	,	PUNCT
ajst-22335	37	27	thereby	thereby	ADV
ajst-22335	37	28	enhancing	enhance	VERB
ajst-22335	37	29	detection	detection	NOUN
ajst-22335	37	30	and	and	CCONJ
ajst-22335	37	31	localization	localization	NOUN
ajst-22335	37	32	performance	performance	NOUN
ajst-22335	37	33	.	.	PUNCT
ajst-22335	38	1	while	while	SCONJ
ajst-22335	38	2	the	the	DET
ajst-22335	38	3	reconstruction	reconstruction	NOUN
ajst-22335	38	4	error	error	NOUN
ajst-22335	38	5	method	method	NOUN
ajst-22335	38	6	performs	perform	VERB
ajst-22335	38	7	well	well	ADV
ajst-22335	38	8	in	in	ADP
ajst-22335	38	9	some	some	DET
ajst-22335	38	10	cases	case	NOUN
ajst-22335	38	11	,	,	PUNCT
ajst-22335	38	12	it	it	PRON
ajst-22335	38	13	also	also	ADV
ajst-22335	38	14	has	have	VERB
ajst-22335	38	15	limitations	limitation	NOUN
ajst-22335	38	16	.	.	PUNCT
ajst-22335	39	1	for	for	ADP
ajst-22335	39	2	example	example	NOUN
ajst-22335	39	3	,	,	PUNCT
ajst-22335	39	4	it	it	PRON
ajst-22335	39	5	is	be	AUX
ajst-22335	39	6	susceptible	susceptible	ADJ
ajst-22335	39	7	to	to	ADP
ajst-22335	39	8	background	background	NOUN
ajst-22335	39	9	changes	change	NOUN
ajst-22335	39	10	,	,	PUNCT
ajst-22335	39	11	which	which	PRON
ajst-22335	39	12	may	may	AUX
ajst-22335	39	13	lead	lead	VERB
ajst-22335	39	14	to	to	ADP
ajst-22335	39	15	false	false	ADJ
ajst-22335	39	16	positives	positive	NOUN
ajst-22335	39	17	or	or	CCONJ
ajst-22335	39	18	false	false	ADJ
ajst-22335	39	19	negatives	negative	NOUN
ajst-22335	39	20	when	when	SCONJ
ajst-22335	39	21	the	the	DET
ajst-22335	39	22	background	background	NOUN
ajst-22335	39	23	of	of	ADP
ajst-22335	39	24	the	the	DET
ajst-22335	39	25	video	video	NOUN
ajst-22335	39	26	sequence	sequence	NOUN
ajst-22335	39	27	changes	change	NOUN
ajst-22335	39	28	.	.	PUNCT
ajst-22335	40	1	if	if	SCONJ
ajst-22335	40	2	the	the	DET
ajst-22335	40	3	anomaly	anomaly	NOUN
ajst-22335	40	4	pattern	pattern	NOUN
ajst-22335	40	5	is	be	AUX
ajst-22335	40	6	similar	similar	ADJ
ajst-22335	40	7	to	to	ADP
ajst-22335	40	8	the	the	DET
ajst-22335	40	9	normal	normal	ADJ
ajst-22335	40	10	pattern	pattern	NOUN
ajst-22335	40	11	,	,	PUNCT
ajst-22335	40	12	the	the	DET
ajst-22335	40	13	reconstruction	reconstruction	NOUN
ajst-22335	40	14	error	error	NOUN
ajst-22335	40	15	may	may	AUX
ajst-22335	40	16	not	not	PART
ajst-22335	40	17	reflect	reflect	VERB
ajst-22335	40	18	the	the	DET
ajst-22335	40	19	presence	presence	NOUN
ajst-22335	40	20	of	of	ADP
ajst-22335	40	21	anomalies	anomaly	NOUN
ajst-22335	40	22	.	.	PUNCT
ajst-22335	41	1	additionally	additionally	ADV
ajst-22335	41	2	,	,	PUNCT
ajst-22335	41	3	the	the	DET
ajst-22335	41	4	reconstruction	reconstruction	NOUN
ajst-22335	41	5	error	error	NOUN
ajst-22335	41	6	method	method	NOUN
ajst-22335	41	7	typically	typically	ADV
ajst-22335	41	8	requires	require	VERB
ajst-22335	41	9	a	a	DET
ajst-22335	41	10	large	large	ADJ
ajst-22335	41	11	amount	amount	NOUN
ajst-22335	41	12	of	of	ADP
ajst-22335	41	13	training	training	NOUN
ajst-22335	41	14	data	datum	NOUN
ajst-22335	41	15	to	to	PART
ajst-22335	41	16	learn	learn	VERB
ajst-22335	41	17	representations	representation	NOUN
ajst-22335	41	18	.	.	PUNCT
ajst-22335	42	1	therefore	therefore	ADV
ajst-22335	42	2	,	,	PUNCT
ajst-22335	42	3	when	when	SCONJ
ajst-22335	42	4	choosing	choose	VERB
ajst-22335	42	5	a	a	DET
ajst-22335	42	6	method	method	NOUN
ajst-22335	42	7	,	,	PUNCT
ajst-22335	42	8	it	it	PRON
ajst-22335	42	9	is	be	AUX
ajst-22335	42	10	necessary	necessary	ADJ
ajst-22335	42	11	to	to	PART
ajst-22335	42	12	consider	consider	VERB
ajst-22335	42	13	the	the	DET
ajst-22335	42	14	specific	specific	ADJ
ajst-22335	42	15	application	application	NOUN
ajst-22335	42	16	scenarios	scenario	NOUN
ajst-22335	42	17	and	and	CCONJ
ajst-22335	42	18	data	datum	NOUN
ajst-22335	42	19	characteristics	characteristic	NOUN
ajst-22335	42	20	.	.	PUNCT
ajst-22335	43	1	2.2	2.2	NUM
ajst-22335	43	2	.	.	PUNCT
ajst-22335	44	1	spatiotemporal	spatiotemporal	ADJ
ajst-22335	44	2	consistency	consistency	NOUN
ajst-22335	44	3	the	the	DET
ajst-22335	44	4	spatiotemporal	spatiotemporal	ADJ
ajst-22335	44	5	consistency	consistency	NOUN
ajst-22335	44	6	method	method	NOUN
ajst-22335	44	7	utilizes	utilize	VERB
ajst-22335	44	8	the	the	DET
ajst-22335	44	9	temporal	temporal	ADJ
ajst-22335	44	10	and	and	CCONJ
ajst-22335	44	11	spatial	spatial	ADJ
ajst-22335	44	12	relationships	relationship	NOUN
ajst-22335	44	13	between	between	ADP
ajst-22335	44	14	frames	frame	NOUN
ajst-22335	44	15	in	in	ADP
ajst-22335	44	16	video	video	NOUN
ajst-22335	44	17	sequences	sequence	NOUN
ajst-22335	44	18	for	for	ADP
ajst-22335	44	19	anomaly	anomaly	NOUN
ajst-22335	44	20	detection	detection	NOUN
ajst-22335	44	21	.	.	PUNCT
ajst-22335	45	1	by	by	ADP
ajst-22335	45	2	predicting	predict	VERB
ajst-22335	45	3	the	the	DET
ajst-22335	45	4	next	next	ADJ
ajst-22335	45	5	frame	frame	NOUN
ajst-22335	45	6	,	,	PUNCT
ajst-22335	45	7	the	the	DET
ajst-22335	45	8	spatio	spatio	NOUN
ajst-22335	45	9	-	-	PUNCT
ajst-22335	45	10	temporal	temporal	ADJ
ajst-22335	45	11	consistency	consistency	NOUN
ajst-22335	45	12	model	model	NOUN
ajst-22335	45	13	is	be	AUX
ajst-22335	45	14	learned	learn	VERB
ajst-22335	45	15	,	,	PUNCT
ajst-22335	45	16	and	and	CCONJ
ajst-22335	45	17	then	then	ADV
ajst-22335	45	18	this	this	DET
ajst-22335	45	19	model	model	NOUN
ajst-22335	45	20	is	be	AUX
ajst-22335	45	21	utilized	utilize	VERB
ajst-22335	45	22	to	to	PART
ajst-22335	45	23	detect	detect	VERB
ajst-22335	45	24	frames	frame	NOUN
ajst-22335	45	25	that	that	PRON
ajst-22335	45	26	do	do	AUX
ajst-22335	45	27	not	not	PART
ajst-22335	45	28	conform	conform	VERB
ajst-22335	45	29	to	to	ADP
ajst-22335	45	30	consistency	consistency	NOUN
ajst-22335	45	31	,	,	PUNCT
ajst-22335	45	32	which	which	PRON
ajst-22335	45	33	are	be	AUX
ajst-22335	45	34	considered	consider	VERB
ajst-22335	45	35	anomalies	anomaly	NOUN
ajst-22335	45	36	.	.	PUNCT
ajst-22335	46	1	hao	hao	PROPN
ajst-22335	47	1	[	[	X
ajst-22335	47	2	8	8	NUM
ajst-22335	47	3	]	]	PUNCT
ajst-22335	47	4	proposed	propose	VERB
ajst-22335	47	5	a	a	DET
ajst-22335	47	6	spatio	spatio	PROPN
ajst-22335	47	7	-	-	PUNCT
ajst-22335	47	8	temporal	temporal	ADJ
ajst-22335	47	9	consistency	consistency	NOUN
ajst-22335	47	10	enhancement	enhancement	NOUN
ajst-22335	47	11	network	network	NOUN
ajst-22335	47	12	(	(	PUNCT
ajst-22335	47	13	stcen	stcen	PROPN
ajst-22335	47	14	)	)	PUNCT
ajst-22335	47	15	aimed	aim	VERB
ajst-22335	47	16	at	at	ADP
ajst-22335	47	17	highlighting	highlight	VERB
ajst-22335	47	18	the	the	DET
ajst-22335	47	19	interference	interference	NOUN
ajst-22335	47	20	of	of	ADP
ajst-22335	47	21	anomalous	anomalous	ADJ
ajst-22335	47	22	data	datum	NOUN
ajst-22335	47	23	by	by	ADP
ajst-22335	47	24	addressing	address	VERB
ajst-22335	47	25	both	both	CCONJ
ajst-22335	47	26	spatial	spatial	ADJ
ajst-22335	47	27	and	and	CCONJ
ajst-22335	47	28	temporal	temporal	ADJ
ajst-22335	47	29	aspects	aspect	NOUN
ajst-22335	47	30	,	,	PUNCT
ajst-22335	47	31	employing	employ	VERB
ajst-22335	47	32	a	a	DET
ajst-22335	47	33	resampling	resample	VERB
ajst-22335	47	34	module	module	NOUN
ajst-22335	47	35	to	to	PART
ajst-22335	47	36	widen	widen	VERB
ajst-22335	47	37	the	the	DET
ajst-22335	47	38	score	score	NOUN
ajst-22335	47	39	gap	gap	NOUN
ajst-22335	47	40	between	between	ADP
ajst-22335	47	41	normal	normal	ADJ
ajst-22335	47	42	and	and	CCONJ
ajst-22335	47	43	anomalous	anomalous	ADJ
ajst-22335	47	44	content	content	NOUN
ajst-22335	47	45	.	.	PUNCT
ajst-22335	48	1	li	li	PROPN
ajst-22335	49	1	[	[	X
ajst-22335	49	2	9	9	NUM
ajst-22335	49	3	]	]	PUNCT
ajst-22335	49	4	introduced	introduce	VERB
ajst-22335	49	5	a	a	DET
ajst-22335	49	6	memory	memory	NOUN
ajst-22335	49	7	-	-	PUNCT
ajst-22335	49	8	augmented	augment	VERB
ajst-22335	49	9	spatio	spatio	NOUN
ajst-22335	49	10	-	-	PUNCT
ajst-22335	49	11	temporal	temporal	ADJ
ajst-22335	49	12	consistency	consistency	NOUN
ajst-22335	49	13	network	network	NOUN
ajst-22335	49	14	,	,	PUNCT
ajst-22335	49	15	aiming	aim	VERB
ajst-22335	49	16	to	to	PART
ajst-22335	49	17	model	model	VERB
ajst-22335	49	18	the	the	DET
ajst-22335	49	19	potential	potential	ADJ
ajst-22335	49	20	consistency	consistency	NOUN
ajst-22335	49	21	between	between	ADP
ajst-22335	49	22	spatial	spatial	ADJ
ajst-22335	49	23	appearance	appearance	NOUN
ajst-22335	49	24	and	and	CCONJ
ajst-22335	49	25	temporal	temporal	ADJ
ajst-22335	49	26	motion	motion	NOUN
ajst-22335	49	27	by	by	ADP
ajst-22335	49	28	learning	learn	VERB
ajst-22335	49	29	a	a	DET
ajst-22335	49	30	unified	unify	VERB
ajst-22335	49	31	spatio	spatio	NOUN
ajst-22335	49	32	-	-	PUNCT
ajst-22335	49	33	temporal	temporal	ADJ
ajst-22335	49	34	representation	representation	NOUN
ajst-22335	49	35	.	.	PUNCT
ajst-22335	50	1	they	they	PRON
ajst-22335	50	2	introduced	introduce	VERB
ajst-22335	50	3	a	a	DET
ajst-22335	50	4	spatio	spatio	PROPN
ajst-22335	50	5	-	-	PUNCT
ajst-22335	50	6	temporal	temporal	ADJ
ajst-22335	50	7	memory	memory	NOUN
ajst-22335	50	8	fusion	fusion	NOUN
ajst-22335	50	9	module	module	NOUN
ajst-22335	50	10	to	to	AUX
ajst-22335	50	11	record	record	NOUN
ajst-22335	50	12	spatio	spatio	PROPN
ajst-22335	50	13	-	-	PUNCT
ajst-22335	50	14	temporal	temporal	ADJ
ajst-22335	50	15	prototypes	prototype	NOUN
ajst-22335	50	16	of	of	ADP
ajst-22335	50	17	regular	regular	ADJ
ajst-22335	50	18	patterns	pattern	NOUN
ajst-22335	50	19	from	from	ADP
ajst-22335	50	20	the	the	DET
ajst-22335	50	21	unified	unify	VERB
ajst-22335	50	22	spatio	spatio	NOUN
ajst-22335	50	23	-	-	PUNCT
ajst-22335	50	24	temporal	temporal	ADJ
ajst-22335	50	25	representation	representation	NOUN
ajst-22335	50	26	,	,	PUNCT
ajst-22335	50	27	thus	thus	ADV
ajst-22335	50	28	increasing	increase	VERB
ajst-22335	50	29	the	the	DET
ajst-22335	50	30	gap	gap	NOUN
ajst-22335	50	31	between	between	ADP
ajst-22335	50	32	normal	normal	ADJ
ajst-22335	50	33	and	and	CCONJ
ajst-22335	50	34	anomalous	anomalous	ADJ
ajst-22335	50	35	events	event	NOUN
ajst-22335	50	36	in	in	ADP
ajst-22335	50	37	the	the	DET
ajst-22335	50	38	feature	feature	NOUN
ajst-22335	50	39	space	space	NOUN
ajst-22335	50	40	.	.	PUNCT
ajst-22335	51	1	while	while	SCONJ
ajst-22335	51	2	the	the	DET
ajst-22335	51	3	spatio	spatio	PROPN
ajst-22335	51	4	-	-	PUNCT
ajst-22335	51	5	temporal	temporal	ADJ
ajst-22335	51	6	consistency	consistency	NOUN
ajst-22335	51	7	method	method	NOUN
ajst-22335	51	8	has	have	VERB
ajst-22335	51	9	advantages	advantage	NOUN
ajst-22335	51	10	in	in	ADP
ajst-22335	51	11	vad	vad	PROPN
ajst-22335	51	12	,	,	PUNCT
ajst-22335	51	13	it	it	PRON
ajst-22335	51	14	also	also	ADV
ajst-22335	51	15	has	have	VERB
ajst-22335	51	16	some	some	DET
ajst-22335	51	17	limitations	limitation	NOUN
ajst-22335	51	18	.	.	PUNCT
ajst-22335	52	1	for	for	ADP
ajst-22335	52	2	example	example	NOUN
ajst-22335	52	3	,	,	PUNCT
ajst-22335	52	4	it	it	PRON
ajst-22335	52	5	is	be	AUX
ajst-22335	52	6	sensitive	sensitive	ADJ
ajst-22335	52	7	to	to	ADP
ajst-22335	52	8	background	background	NOUN
ajst-22335	52	9	changes	change	NOUN
ajst-22335	52	10	,	,	PUNCT
ajst-22335	52	11	difficult	difficult	ADJ
ajst-22335	52	12	to	to	PART
ajst-22335	52	13	handle	handle	VERB
ajst-22335	52	14	complex	complex	ADJ
ajst-22335	52	15	anomaly	anomaly	NOUN
ajst-22335	52	16	patterns	pattern	NOUN
ajst-22335	52	17	,	,	PUNCT
ajst-22335	52	18	has	have	VERB
ajst-22335	52	19	high	high	ADJ
ajst-22335	52	20	computational	computational	ADJ
ajst-22335	52	21	complexity	complexity	NOUN
ajst-22335	52	22	,	,	PUNCT
ajst-22335	52	23	difficulties	difficulty	NOUN
ajst-22335	52	24	in	in	ADP
ajst-22335	52	25	selecting	select	VERB
ajst-22335	52	26	model	model	NOUN
ajst-22335	52	27	parameters	parameter	NOUN
ajst-22335	52	28	,	,	PUNCT
ajst-22335	52	29	and	and	CCONJ
ajst-22335	52	30	is	be	AUX
ajst-22335	52	31	limited	limit	VERB
ajst-22335	52	32	by	by	ADP
ajst-22335	52	33	local	local	ADJ
ajst-22335	52	34	features	feature	NOUN
ajst-22335	52	35	.	.	PUNCT
ajst-22335	53	1	2.3	2.3	NUM
ajst-22335	53	2	.	.	PUNCT
ajst-22335	53	3	self	self	NOUN
ajst-22335	53	4	-	-	PUNCT
ajst-22335	53	5	supervised	supervise	VERB
ajst-22335	53	6	contrastive	contrastive	ADJ
ajst-22335	53	7	learning	learning	NOUN
ajst-22335	53	8	the	the	DET
ajst-22335	53	9	self	self	NOUN
ajst-22335	53	10	-	-	PUNCT
ajst-22335	53	11	supervised	supervise	VERB
ajst-22335	53	12	contrastive	contrastive	ADJ
ajst-22335	53	13	learning	learning	NOUN
ajst-22335	53	14	method	method	NOUN
ajst-22335	53	15	involves	involve	VERB
ajst-22335	53	16	comparing	compare	VERB
ajst-22335	53	17	frames	frame	NOUN
ajst-22335	53	18	or	or	CCONJ
ajst-22335	53	19	segments	segment	NOUN
ajst-22335	53	20	within	within	ADP
ajst-22335	53	21	a	a	DET
ajst-22335	53	22	video	video	NOUN
ajst-22335	53	23	sequence	sequence	NOUN
ajst-22335	53	24	with	with	ADP
ajst-22335	53	25	themselves	themselves	PRON
ajst-22335	53	26	or	or	CCONJ
ajst-22335	53	27	other	other	ADJ
ajst-22335	53	28	frames	frame	NOUN
ajst-22335	53	29	or	or	CCONJ
ajst-22335	53	30	segments	segment	NOUN
ajst-22335	53	31	for	for	ADP
ajst-22335	53	32	learning	learn	VERB
ajst-22335	53	33	.	.	PUNCT
ajst-22335	54	1	normal	normal	ADJ
ajst-22335	54	2	frames	frame	NOUN
ajst-22335	54	3	or	or	CCONJ
ajst-22335	54	4	segments	segment	NOUN
ajst-22335	54	5	should	should	AUX
ajst-22335	54	6	be	be	AUX
ajst-22335	54	7	similar	similar	ADJ
ajst-22335	54	8	,	,	PUNCT
ajst-22335	54	9	while	while	SCONJ
ajst-22335	54	10	abnormal	abnormal	ADJ
ajst-22335	54	11	ones	one	NOUN
ajst-22335	54	12	are	be	AUX
ajst-22335	54	13	less	less	ADV
ajst-22335	54	14	similar	similar	ADJ
ajst-22335	54	15	.	.	PUNCT
ajst-22335	55	1	thus	thus	ADV
ajst-22335	55	2	,	,	PUNCT
ajst-22335	55	3	contrastive	contrastive	ADJ
ajst-22335	55	4	learning	learning	NOUN
ajst-22335	55	5	methods	method	NOUN
ajst-22335	55	6	can	can	AUX
ajst-22335	55	7	be	be	AUX
ajst-22335	55	8	employed	employ	VERB
ajst-22335	55	9	for	for	ADP
ajst-22335	55	10	anomaly	anomaly	NOUN
ajst-22335	55	11	detection	detection	NOUN
ajst-22335	55	12	.	.	PUNCT
ajst-22335	56	1	chen	chen	PROPN
ajst-22335	57	1	[	[	X
ajst-22335	57	2	10	10	NUM
ajst-22335	57	3	]	]	PUNCT
ajst-22335	57	4	proposed	propose	VERB
ajst-22335	57	5	the	the	DET
ajst-22335	57	6	contrastive	contrastive	ADJ
ajst-22335	57	7	action	action	NOUN
ajst-22335	57	8	representation	representation	NOUN
ajst-22335	57	9	learning	learn	VERB
ajst-22335	57	10	(	(	PUNCT
ajst-22335	57	11	carl	carl	PROPN
ajst-22335	57	12	)	)	PUNCT
ajst-22335	57	13	framework	framework	NOUN
ajst-22335	57	14	,	,	PUNCT
ajst-22335	57	15	which	which	PRON
ajst-22335	57	16	includes	include	VERB
ajst-22335	57	17	a	a	DET
ajst-22335	57	18	frame	frame	NOUN
ajst-22335	57	19	-	-	PUNCT
ajst-22335	57	20	byframe	byframe	NOUN
ajst-22335	57	21	video	video	NOUN
ajst-22335	57	22	encoder	encoder	NOUN
ajst-22335	57	23	considering	consider	VERB
ajst-22335	57	24	spatio	spatio	PROPN
ajst-22335	57	25	-	-	PUNCT
ajst-22335	57	26	temporal	temporal	ADJ
ajst-22335	57	27	relationships	relationship	NOUN
ajst-22335	57	28	and	and	CCONJ
ajst-22335	57	29	introduces	introduce	VERB
ajst-22335	57	30	sequence	sequence	NOUN
ajst-22335	57	31	contrastive	contrastive	ADJ
ajst-22335	57	32	loss	loss	NOUN
ajst-22335	57	33	(	(	PUNCT
ajst-22335	57	34	scl	scl	NOUN
ajst-22335	57	35	)	)	PUNCT
ajst-22335	57	36	.	.	PUNCT
ajst-22335	58	1	this	this	DET
ajst-22335	58	2	method	method	NOUN
ajst-22335	58	3	optimizes	optimize	VERB
ajst-22335	58	4	the	the	DET
ajst-22335	58	5	embedding	embed	VERB
ajst-22335	58	6	space	space	NOUN
ajst-22335	58	7	by	by	ADP
ajst-22335	58	8	minimizing	minimize	VERB
ajst-22335	58	9	the	the	DET
ajst-22335	58	10	kullback	kullback	NOUN
ajst-22335	58	11	-	-	PUNCT
ajst-22335	58	12	leibler	leibler	NOUN
ajst-22335	58	13	(	(	PUNCT
ajst-22335	58	14	kl	kl	NOUN
ajst-22335	58	15	)	)	PUNCT
ajst-22335	58	16	divergence	divergence	NOUN
ajst-22335	58	17	between	between	ADP
ajst-22335	58	18	the	the	DET
ajst-22335	58	19	sequence	sequence	NOUN
ajst-22335	58	20	similarity	similarity	NOUN
ajst-22335	58	21	of	of	ADP
ajst-22335	58	22	two	two	NUM
ajst-22335	58	23	enhanced	enhanced	ADJ
ajst-22335	58	24	views	view	NOUN
ajst-22335	58	25	and	and	CCONJ
ajst-22335	58	26	the	the	DET
ajst-22335	58	27	prior	prior	ADJ
ajst-22335	58	28	gaussian	gaussian	ADJ
ajst-22335	58	29	distribution	distribution	NOUN
ajst-22335	58	30	of	of	ADP
ajst-22335	58	31	timestamp	timestamp	NOUN
ajst-22335	58	32	distance	distance	NOUN
ajst-22335	58	33	,	,	PUNCT
ajst-22335	58	34	as	as	SCONJ
ajst-22335	58	35	shown	show	VERB
ajst-22335	58	36	in	in	ADP
ajst-22335	58	37	fig	fig	NOUN
ajst-22335	58	38	2	2	NUM
ajst-22335	58	39	.	.	PUNCT
ajst-22335	59	1	dwibedi	dwibedi	PROPN
ajst-22335	60	1	[	[	X
ajst-22335	60	2	11	11	NUM
ajst-22335	60	3	]	]	PUNCT
ajst-22335	60	4	proposed	propose	VERB
ajst-22335	60	5	a	a	DET
ajst-22335	60	6	self	self	NOUN
ajst-22335	60	7	-	-	PUNCT
ajst-22335	60	8	supervised	supervise	VERB
ajst-22335	60	9	representation	representation	NOUN
ajst-22335	60	10	learning	learning	NOUN
ajst-22335	60	11	method	method	NOUN
ajst-22335	60	12	based	base	VERB
ajst-22335	60	13	on	on	ADP
ajst-22335	60	14	temporal	temporal	ADJ
ajst-22335	60	15	alignment	alignment	NOUN
ajst-22335	60	16	tasks	task	NOUN
ajst-22335	60	17	between	between	ADP
ajst-22335	60	18	videos	video	NOUN
ajst-22335	60	19	,	,	PUNCT
ajst-22335	60	20	utilizing	utilize	VERB
ajst-22335	60	21	temporal	temporal	ADJ
ajst-22335	60	22	cycle	cycle	NOUN
ajst-22335	60	23	consistency	consistency	NOUN
ajst-22335	60	24	(	(	PUNCT
ajst-22335	60	25	tcc	tcc	NOUN
ajst-22335	60	26	)	)	PUNCT
ajst-22335	60	27	to	to	PART
ajst-22335	60	28	train	train	VERB
ajst-22335	60	29	the	the	DET
ajst-22335	60	30	network	network	NOUN
ajst-22335	60	31	.	.	PUNCT
ajst-22335	61	1	this	this	DET
ajst-22335	61	2	method	method	NOUN
ajst-22335	61	3	can	can	AUX
ajst-22335	61	4	search	search	VERB
ajst-22335	61	5	for	for	ADP
ajst-22335	61	6	temporal	temporal	ADJ
ajst-22335	61	7	correspondences	correspondence	NOUN
ajst-22335	61	8	across	across	ADP
ajst-22335	61	9	multiple	multiple	ADJ
ajst-22335	61	10	videos	video	NOUN
ajst-22335	61	11	and	and	CCONJ
ajst-22335	61	12	generate	generate	VERB
ajst-22335	61	13	embeddings	embedding	NOUN
ajst-22335	61	14	for	for	ADP
ajst-22335	61	15	each	each	DET
ajst-22335	61	16	frame	frame	NOUN
ajst-22335	61	17	,	,	PUNCT
ajst-22335	61	18	simply	simply	ADV
ajst-22335	61	19	matching	match	VERB
ajst-22335	61	20	frames	frame	NOUN
ajst-22335	61	21	to	to	PART
ajst-22335	61	22	align	align	VERB
ajst-22335	61	23	videos	video	NOUN
ajst-22335	61	24	using	use	VERB
ajst-22335	61	25	the	the	DET
ajst-22335	61	26	nearest	near	ADJ
ajst-22335	61	27	neighbors	neighbor	NOUN
ajst-22335	61	28	in	in	ADP
ajst-22335	61	29	the	the	DET
ajst-22335	61	30	learned	learned	ADJ
ajst-22335	61	31	embedding	embed	VERB
ajst-22335	61	32	space	space	NOUN
ajst-22335	61	33	.	.	PUNCT
ajst-22335	62	1	dvornik	dvornik	X
ajst-22335	63	1	[	[	X
ajst-22335	63	2	12	12	NUM
ajst-22335	63	3	]	]	PUNCT
ajst-22335	63	4	addressed	address	VERB
ajst-22335	63	5	the	the	DET
ajst-22335	63	6	problem	problem	NOUN
ajst-22335	63	7	of	of	ADP
ajst-22335	63	8	sequence	sequence	NOUN
ajst-22335	63	9	-	-	PUNCT
ajst-22335	63	10	tosequence	tosequence	NOUN
ajst-22335	63	11	alignment	alignment	NOUN
ajst-22335	63	12	containing	contain	VERB
ajst-22335	63	13	outliers	outlier	NOUN
ajst-22335	63	14	,	,	PUNCT
ajst-22335	63	15	proposing	propose	VERB
ajst-22335	63	16	the	the	DET
ajst-22335	63	17	dropdtw	dropdtw	NOUN
ajst-22335	63	18	algorithm	algorithm	NOUN
ajst-22335	63	19	,	,	PUNCT
ajst-22335	63	20	which	which	PRON
ajst-22335	63	21	aligns	align	VERB
ajst-22335	63	22	common	common	ADJ
ajst-22335	63	23	signals	signal	NOUN
ajst-22335	63	24	between	between	ADP
ajst-22335	63	25	sequences	sequence	NOUN
ajst-22335	63	26	while	while	SCONJ
ajst-22335	63	27	automatically	automatically	ADV
ajst-22335	63	28	removing	remove	VERB
ajst-22335	63	29	outlier	outlier	ADJ
ajst-22335	63	30	elements	element	NOUN
ajst-22335	63	31	from	from	ADP
ajst-22335	63	32	the	the	DET
ajst-22335	63	33	matching	matching	NOUN
ajst-22335	63	34	.	.	PUNCT
ajst-22335	64	1	its	its	PRON
ajst-22335	64	2	effectiveness	effectiveness	NOUN
ajst-22335	64	3	as	as	ADP
ajst-22335	64	4	a	a	DET
ajst-22335	64	5	training	training	NOUN
ajst-22335	64	6	loss	loss	NOUN
ajst-22335	64	7	in	in	ADP
ajst-22335	64	8	various	various	ADJ
ajst-22335	64	9	applications	application	NOUN
ajst-22335	64	10	has	have	AUX
ajst-22335	64	11	been	be	AUX
ajst-22335	64	12	validated	validate	VERB
ajst-22335	64	13	through	through	ADP
ajst-22335	64	14	experiments	experiment	NOUN
ajst-22335	64	15	.	.	PUNCT
ajst-22335	65	1	wang	wang	PROPN
ajst-22335	66	1	[	[	X
ajst-22335	66	2	13	13	NUM
ajst-22335	66	3	]	]	PUNCT
ajst-22335	66	4	introduced	introduce	VERB
ajst-22335	66	5	an	an	DET
ajst-22335	66	6	object	object	NOUN
ajst-22335	66	7	-	-	PUNCT
ajst-22335	66	8	centric	centric	ADJ
ajst-22335	66	9	feature	feature	NOUN
ajst-22335	66	10	alignment	alignment	NOUN
ajst-22335	66	11	method	method	NOUN
ajst-22335	66	12	,	,	PUNCT
ajst-22335	66	13	injecting	inject	VERB
ajst-22335	66	14	local	local	ADJ
ajst-22335	66	15	object	object	NOUN
ajst-22335	66	16	features	feature	NOUN
ajst-22335	66	17	into	into	ADP
ajst-22335	66	18	verb	verb	NOUN
ajst-22335	66	19	and	and	CCONJ
ajst-22335	66	20	noun	noun	NOUN
ajst-22335	66	21	branches	branch	NOUN
ajst-22335	66	22	and	and	CCONJ
ajst-22335	66	23	proposing	propose	VERB
ajst-22335	66	24	a	a	DET
ajst-22335	66	25	symbiotic	symbiotic	ADJ
ajst-22335	66	26	attention	attention	NOUN
ajst-22335	66	27	mechanism	mechanism	NOUN
ajst-22335	66	28	to	to	PART
ajst-22335	66	29	encourage	encourage	VERB
ajst-22335	66	30	mutual	mutual	ADJ
ajst-22335	66	31	interaction	interaction	NOUN
ajst-22335	66	32	between	between	ADP
ajst-22335	66	33	the	the	DET
ajst-22335	66	34	two	two	NUM
ajst-22335	66	35	branches	branch	NOUN
ajst-22335	66	36	,	,	PUNCT
ajst-22335	66	37	selecting	select	VERB
ajst-22335	66	38	candidates	candidate	NOUN
ajst-22335	66	39	most	most	ADV
ajst-22335	66	40	relevant	relevant	ADJ
ajst-22335	66	41	to	to	ADP
ajst-22335	66	42	the	the	DET
ajst-22335	66	43	action	action	NOUN
ajst-22335	66	44	for	for	ADP
ajst-22335	66	45	classification	classification	NOUN
ajst-22335	66	46	.	.	PUNCT
ajst-22335	67	1	from	from	ADP
ajst-22335	67	2	the	the	DET
ajst-22335	67	3	aforementioned	aforementioned	ADJ
ajst-22335	67	4	studies	study	NOUN
ajst-22335	67	5	,	,	PUNCT
ajst-22335	67	6	it	it	PRON
ajst-22335	67	7	is	be	AUX
ajst-22335	67	8	evident	evident	ADJ
ajst-22335	67	9	that	that	SCONJ
ajst-22335	67	10	contrastive	contrastive	ADJ
ajst-22335	67	11	learning	learning	NOUN
ajst-22335	67	12	requires	require	VERB
ajst-22335	67	13	a	a	DET
ajst-22335	67	14	large	large	ADJ
ajst-22335	67	15	number	number	NOUN
ajst-22335	67	16	of	of	ADP
ajst-22335	67	17	paired	pair	VERB
ajst-22335	67	18	labels	label	NOUN
ajst-22335	67	19	,	,	PUNCT
ajst-22335	67	20	including	include	VERB
ajst-22335	67	21	pairs	pair	NOUN
ajst-22335	67	22	of	of	ADP
ajst-22335	67	23	similar	similar	ADJ
ajst-22335	67	24	and	and	CCONJ
ajst-22335	67	25	dissimilar	dissimilar	ADJ
ajst-22335	67	26	samples	sample	NOUN
ajst-22335	67	27	.	.	PUNCT
ajst-22335	68	1	however	however	ADV
ajst-22335	68	2	,	,	PUNCT
ajst-22335	68	3	obtaining	obtain	VERB
ajst-22335	68	4	a	a	DET
ajst-22335	68	5	large	large	ADJ
ajst-22335	68	6	-	-	PUNCT
ajst-22335	68	7	scale	scale	NOUN
ajst-22335	68	8	dataset	dataset	NOUN
ajst-22335	68	9	for	for	ADP
ajst-22335	68	10	contrastive	contrastive	ADJ
ajst-22335	68	11	learning	learning	NOUN
ajst-22335	68	12	poses	pose	VERB
ajst-22335	68	13	a	a	DET
ajst-22335	68	14	significant	significant	ADJ
ajst-22335	68	15	challenge	challenge	NOUN
ajst-22335	68	16	for	for	ADP
ajst-22335	68	17	training	train	VERB
ajst-22335	68	18	limited	limit	VERB
ajst-22335	68	19	contrastive	contrastive	ADJ
ajst-22335	68	20	models	model	NOUN
ajst-22335	68	21	.	.	PUNCT
ajst-22335	69	1	additionally	additionally	ADV
ajst-22335	69	2	,	,	PUNCT
ajst-22335	69	3	different	different	ADJ
ajst-22335	69	4	sequences	sequence	NOUN
ajst-22335	69	5	may	may	AUX
ajst-22335	69	6	have	have	VERB
ajst-22335	69	7	varying	vary	VERB
ajst-22335	69	8	lengths	length	NOUN
ajst-22335	69	9	,	,	PUNCT
ajst-22335	69	10	and	and	CCONJ
ajst-22335	69	11	such	such	ADJ
ajst-22335	69	12	disparities	disparity	NOUN
ajst-22335	69	13	in	in	ADP
ajst-22335	69	14	sequence	sequence	NOUN
ajst-22335	69	15	lengths	length	NOUN
ajst-22335	69	16	could	could	AUX
ajst-22335	69	17	pose	pose	VERB
ajst-22335	69	18	challenges	challenge	NOUN
ajst-22335	69	19	for	for	ADP
ajst-22335	69	20	model	model	NOUN
ajst-22335	69	21	learning	learning	NOUN
ajst-22335	69	22	.	.	PUNCT
ajst-22335	70	1	furthermore	furthermore	ADV
ajst-22335	70	2	,	,	PUNCT
ajst-22335	70	3	computational	computational	ADJ
ajst-22335	70	4	efficiency	efficiency	NOUN
ajst-22335	70	5	is	be	AUX
ajst-22335	70	6	a	a	DET
ajst-22335	70	7	noteworthy	noteworthy	ADJ
ajst-22335	70	8	concern	concern	NOUN
ajst-22335	70	9	when	when	SCONJ
ajst-22335	70	10	dealing	deal	VERB
ajst-22335	70	11	with	with	ADP
ajst-22335	70	12	largescale	largescale	ADJ
ajst-22335	70	13	datasets	dataset	NOUN
ajst-22335	70	14	.	.	PUNCT
ajst-22335	71	1	2.4	2.4	NUM
ajst-22335	71	2	.	.	PUNCT
ajst-22335	71	3	generative	generative	ADJ
ajst-22335	71	4	model	model	NOUN
ajst-22335	71	5	the	the	DET
ajst-22335	71	6	generative	generative	ADJ
ajst-22335	71	7	model	model	NOUN
ajst-22335	71	8	evaluates	evaluate	VERB
ajst-22335	71	9	the	the	DET
ajst-22335	71	10	anomaly	anomaly	NOUN
ajst-22335	71	11	level	level	NOUN
ajst-22335	71	12	of	of	ADP
ajst-22335	71	13	an	an	DET
ajst-22335	71	14	input	input	NOUN
ajst-22335	71	15	video	video	NOUN
ajst-22335	71	16	sequence	sequence	NOUN
ajst-22335	71	17	by	by	ADP
ajst-22335	71	18	learning	learn	VERB
ajst-22335	71	19	the	the	DET
ajst-22335	71	20	probability	probability	NOUN
ajst-22335	71	21	distribution	distribution	NOUN
ajst-22335	71	22	of	of	ADP
ajst-22335	71	23	video	video	NOUN
ajst-22335	71	24	sequences	sequence	NOUN
ajst-22335	71	25	.	.	PUNCT
ajst-22335	72	1	anomalies	anomaly	NOUN
ajst-22335	72	2	cause	cause	VERB
ajst-22335	72	3	deviations	deviation	NOUN
ajst-22335	72	4	between	between	ADP
ajst-22335	72	5	the	the	DET
ajst-22335	72	6	input	input	NOUN
ajst-22335	72	7	video	video	NOUN
ajst-22335	72	8	sequence	sequence	NOUN
ajst-22335	72	9	and	and	CCONJ
ajst-22335	72	10	the	the	DET
ajst-22335	72	11	distribution	distribution	NOUN
ajst-22335	72	12	of	of	ADP
ajst-22335	72	13	normal	normal	ADJ
ajst-22335	72	14	data	datum	NOUN
ajst-22335	72	15	learned	learn	VERB
ajst-22335	72	16	by	by	ADP
ajst-22335	72	17	the	the	DET
ajst-22335	72	18	generative	generative	ADJ
ajst-22335	72	19	model	model	NOUN
ajst-22335	72	20	.	.	PUNCT
ajst-22335	73	1	huang	huang	PROPN
ajst-22335	74	1	[	[	X
ajst-22335	74	2	14	14	NUM
ajst-22335	74	3	]	]	PUNCT
ajst-22335	74	4	proposed	propose	VERB
ajst-22335	74	5	the	the	DET
ajst-22335	74	6	self	self	NOUN
ajst-22335	74	7	-	-	PUNCT
ajst-22335	74	8	supervised	supervise	VERB
ajst-22335	74	9	attention	attention	NOUN
ajst-22335	74	10	generative	generative	ADJ
ajst-22335	74	11	adversarial	adversarial	ADJ
ajst-22335	74	12	network	network	NOUN
ajst-22335	74	13	(	(	PUNCT
ajst-22335	74	14	ssagan	ssagan	PROPN
ajst-22335	74	15	)	)	PUNCT
ajst-22335	74	16	,	,	PUNCT
ajst-22335	74	17	comprising	comprise	VERB
ajst-22335	74	18	a	a	DET
ajst-22335	74	19	self	self	NOUN
ajst-22335	74	20	-	-	PUNCT
ajst-22335	74	21	attention	attention	NOUN
ajst-22335	74	22	predictor	predictor	NOUN
ajst-22335	74	23	,	,	PUNCT
ajst-22335	74	24	a	a	DET
ajst-22335	74	25	regular	regular	ADJ
ajst-22335	74	26	discriminator	discriminator	NOUN
ajst-22335	74	27	,	,	PUNCT
ajst-22335	74	28	and	and	CCONJ
ajst-22335	74	29	a	a	DET
ajst-22335	74	30	selfsupervised	selfsupervise	VERB
ajst-22335	74	31	discriminator	discriminator	NOUN
ajst-22335	74	32	.	.	PUNCT
ajst-22335	75	1	however	however	ADV
ajst-22335	75	2	,	,	PUNCT
ajst-22335	75	3	ssagan	ssagan	PROPN
ajst-22335	75	4	reduces	reduce	VERB
ajst-22335	75	5	the	the	DET
ajst-22335	75	6	model	model	NOUN
ajst-22335	75	7	's	's	PART
ajst-22335	75	8	generalization	generalization	NOUN
ajst-22335	75	9	ability	ability	NOUN
ajst-22335	75	10	to	to	ADP
ajst-22335	75	11	anomalous	anomalous	ADJ
ajst-22335	75	12	frames	frame	NOUN
ajst-22335	75	13	,	,	PUNCT
ajst-22335	75	14	leading	lead	VERB
ajst-22335	75	15	43	43	NUM
ajst-22335	75	16	to	to	ADP
ajst-22335	75	17	increased	increase	VERB
ajst-22335	75	18	detection	detection	NOUN
ajst-22335	75	19	errors	error	NOUN
ajst-22335	75	20	for	for	ADP
ajst-22335	75	21	such	such	ADJ
ajst-22335	75	22	frames	frame	NOUN
ajst-22335	75	23	.	.	PUNCT
ajst-22335	76	1	chen	chen	PROPN
ajst-22335	77	1	[	[	X
ajst-22335	77	2	15]introduced	15]introduced	NUM
ajst-22335	77	3	an	an	DET
ajst-22335	77	4	end	end	NOUN
ajst-22335	77	5	-	-	PUNCT
ajst-22335	77	6	to	to	ADP
ajst-22335	77	7	-	-	PUNCT
ajst-22335	77	8	end	end	NOUN
ajst-22335	77	9	pipeline	pipeline	NOUN
ajst-22335	77	10	(	(	PUNCT
ajst-22335	77	11	nm	nm	NOUN
ajst-22335	77	12	-	-	PUNCT
ajst-22335	77	13	gan	gan	ADJ
ajst-22335	77	14	)	)	PUNCT
ajst-22335	77	15	,	,	PUNCT
ajst-22335	77	16	combining	combine	VERB
ajst-22335	77	17	an	an	DET
ajst-22335	77	18	encoder	encoder	NOUN
ajst-22335	77	19	-	-	PUNCT
ajst-22335	77	20	decoder	decoder	NOUN
ajst-22335	77	21	reconstruction	reconstruction	NOUN
ajst-22335	77	22	network	network	NOUN
ajst-22335	77	23	and	and	CCONJ
ajst-22335	77	24	a	a	DET
ajst-22335	77	25	cnn	cnn	PROPN
ajst-22335	77	26	-	-	PUNCT
ajst-22335	77	27	based	base	VERB
ajst-22335	77	28	discriminator	discriminator	NOUN
ajst-22335	77	29	within	within	ADP
ajst-22335	77	30	a	a	DET
ajst-22335	77	31	gan	gin	VERB
ajst-22335	77	32	-	-	PUNCT
ajst-22335	77	33	like	like	ADJ
ajst-22335	77	34	framework	framework	NOUN
ajst-22335	77	35	.	.	PUNCT
ajst-22335	78	1	this	this	DET
ajst-22335	78	2	method	method	NOUN
ajst-22335	78	3	trains	train	VERB
ajst-22335	78	4	the	the	DET
ajst-22335	78	5	discriminator	discriminator	NOUN
ajst-22335	78	6	network	network	NOUN
ajst-22335	78	7	to	to	PART
ajst-22335	78	8	differentiate	differentiate	VERB
ajst-22335	78	9	between	between	ADP
ajst-22335	78	10	abnormal	abnormal	ADJ
ajst-22335	78	11	and	and	CCONJ
ajst-22335	78	12	normal	normal	ADJ
ajst-22335	78	13	samples	sample	NOUN
ajst-22335	78	14	using	use	VERB
ajst-22335	78	15	reconstruction	reconstruction	NOUN
ajst-22335	78	16	error	error	NOUN
ajst-22335	78	17	maps	map	NOUN
ajst-22335	78	18	.	.	PUNCT
ajst-22335	79	1	wang	wang	PROPN
ajst-22335	80	1	[	[	X
ajst-22335	80	2	16	16	NUM
ajst-22335	80	3	]	]	PUNCT
ajst-22335	80	4	presented	present	VERB
ajst-22335	80	5	a	a	DET
ajst-22335	80	6	shallow	shallow	ADJ
ajst-22335	80	7	generative	generative	ADJ
ajst-22335	80	8	network	network	NOUN
ajst-22335	80	9	to	to	PART
ajst-22335	80	10	obtain	obtain	VERB
ajst-22335	80	11	a	a	DET
ajst-22335	80	12	model	model	NOUN
ajst-22335	80	13	resembling	resemble	VERB
ajst-22335	80	14	a	a	DET
ajst-22335	80	15	gaussian	gaussian	ADJ
ajst-22335	80	16	mixture	mixture	NOUN
ajst-22335	80	17	to	to	PART
ajst-22335	80	18	fit	fit	VERB
ajst-22335	80	19	the	the	DET
ajst-22335	80	20	distribution	distribution	NOUN
ajst-22335	80	21	of	of	ADP
ajst-22335	80	22	actual	actual	ADJ
ajst-22335	80	23	data	datum	NOUN
ajst-22335	80	24	.	.	PUNCT
ajst-22335	81	1	this	this	DET
ajst-22335	81	2	approach	approach	NOUN
ajst-22335	81	3	demonstrates	demonstrate	VERB
ajst-22335	81	4	improved	improved	ADJ
ajst-22335	81	5	performance	performance	NOUN
ajst-22335	81	6	in	in	ADP
ajst-22335	81	7	detecting	detect	VERB
ajst-22335	81	8	both	both	CCONJ
ajst-22335	81	9	local	local	ADJ
ajst-22335	81	10	and	and	CCONJ
ajst-22335	81	11	global	global	ADJ
ajst-22335	81	12	anomaly	anomaly	NOUN
ajst-22335	81	13	events	event	NOUN
ajst-22335	81	14	.	.	PUNCT
ajst-22335	82	1	...	...	PUNCT
ajst-22335	82	2	...	...	PUNCT
ajst-22335	83	1	original	original	ADJ
ajst-22335	83	2	video	video	NOUN
ajst-22335	83	3	random	random	ADJ
ajst-22335	83	4	sampling	sampling	NOUN
ajst-22335	83	5	r	r	NOUN
ajst-22335	83	6	andom	andom	NOUN
ajst-22335	83	7	ly	ly	ADP
ajst-22335	83	8	crop	crop	NOUN
ajst-22335	83	9	s	s	PART
ajst-22335	83	10	patial	patial	ADJ
ajst-22335	83	11	enhancem	enhancem	NOUN
ajst-22335	83	12	ent	ent	NOUN
ajst-22335	83	13	r	r	PROPN
ajst-22335	83	14	esn	esn	PROPN
ajst-22335	83	15	et-50	et-50	PROPN
ajst-22335	83	16	t	t	PROPN
ajst-22335	83	17	ransform	ransform	PROPN
ajst-22335	83	18	ation	ation	PROPN
ajst-22335	83	19	t	t	PROPN
ajst-22335	83	20	ransform	ransform	NOUN
ajst-22335	83	21	er	er	INTJ
ajst-22335	83	22	e	e	X
ajst-22335	83	23	ncoder	ncoder	NOUN
ajst-22335	83	24	l	l	NOUN
ajst-22335	83	25	inear	inear	NOUN
ajst-22335	83	26	s	s	PART
ajst-22335	83	27	c	c	PROPN
ajst-22335	83	28	l	l	PROPN
ajst-22335	83	29	data	datum	NOUN
ajst-22335	83	30	augmentation	augmentation	NOUN
ajst-22335	83	31	frame	frame	NOUN
ajst-22335	83	32	-	-	PUNCT
ajst-22335	83	33	by	by	ADP
ajst-22335	83	34	-	-	PUNCT
ajst-22335	83	35	frame	frame	NOUN
ajst-22335	83	36	encoding	encoding	NOUN
ajst-22335	83	37	o	o	NOUN
ajst-22335	83	38	utput	utput	ADJ
ajst-22335	83	39	video1	video1	NOUN
ajst-22335	83	40	video2	video2	VERB
ajst-22335	83	41	random	random	ADJ
ajst-22335	83	42	sampling	sampling	NOUN
ajst-22335	83	43	fig	fig	NOUN
ajst-22335	83	44	2	2	NUM
ajst-22335	83	45	.	.	PUNCT
ajst-22335	83	46	comparative	comparative	ADJ
ajst-22335	83	47	action	action	NOUN
ajst-22335	83	48	representation	representation	NOUN
ajst-22335	83	49	learning	learn	VERB
ajst-22335	83	50	(	(	PUNCT
ajst-22335	83	51	carl	carl	PROPN
ajst-22335	83	52	)	)	PUNCT
ajst-22335	83	53	framework	framework	NOUN
ajst-22335	83	54	the	the	DET
ajst-22335	83	55	drawbacks	drawback	NOUN
ajst-22335	83	56	of	of	ADP
ajst-22335	83	57	generative	generative	ADJ
ajst-22335	83	58	model	model	NOUN
ajst-22335	83	59	methods	method	NOUN
ajst-22335	83	60	include	include	VERB
ajst-22335	83	61	high	high	ADJ
ajst-22335	83	62	computational	computational	ADJ
ajst-22335	83	63	complexity	complexity	NOUN
ajst-22335	83	64	,	,	PUNCT
ajst-22335	83	65	difficulty	difficulty	NOUN
ajst-22335	83	66	in	in	ADP
ajst-22335	83	67	model	model	NOUN
ajst-22335	83	68	training	training	NOUN
ajst-22335	83	69	,	,	PUNCT
ajst-22335	83	70	and	and	CCONJ
ajst-22335	83	71	sample	sample	NOUN
ajst-22335	83	72	imbalance	imbalance	NOUN
ajst-22335	83	73	.	.	PUNCT
ajst-22335	84	1	therefore	therefore	ADV
ajst-22335	84	2	,	,	PUNCT
ajst-22335	84	3	it	it	PRON
ajst-22335	84	4	is	be	AUX
ajst-22335	84	5	necessary	necessary	ADJ
ajst-22335	84	6	to	to	PART
ajst-22335	84	7	combine	combine	VERB
ajst-22335	84	8	other	other	ADJ
ajst-22335	84	9	methods	method	NOUN
ajst-22335	84	10	to	to	PART
ajst-22335	84	11	improve	improve	VERB
ajst-22335	84	12	detection	detection	NOUN
ajst-22335	84	13	performance	performance	NOUN
ajst-22335	84	14	.	.	PUNCT
ajst-22335	85	1	3	3	X
ajst-22335	85	2	.	.	X
ajst-22335	85	3	benchmark	benchmark	NOUN
ajst-22335	85	4	datasets	dataset	NOUN
ajst-22335	85	5	3.1	3.1	NUM
ajst-22335	85	6	.	.	PUNCT
ajst-22335	86	1	ucsd	ucsd	PROPN
ajst-22335	86	2	dataset	dataset	VERB
ajst-22335	86	3	the	the	DET
ajst-22335	86	4	ucsd	ucsd	PROPN
ajst-22335	86	5	dataset	dataset	NOUN
ajst-22335	87	1	[	[	X
ajst-22335	87	2	17	17	NUM
ajst-22335	87	3	]	]	PUNCT
ajst-22335	87	4	records	record	VERB
ajst-22335	87	5	various	various	ADJ
ajst-22335	87	6	daily	daily	ADJ
ajst-22335	87	7	activities	activity	NOUN
ajst-22335	87	8	and	and	CCONJ
ajst-22335	87	9	abnormal	abnormal	ADJ
ajst-22335	87	10	events	event	NOUN
ajst-22335	87	11	,	,	PUNCT
ajst-22335	87	12	such	such	ADJ
ajst-22335	87	13	as	as	ADP
ajst-22335	87	14	crowd	crowd	NOUN
ajst-22335	87	15	gatherings	gathering	NOUN
ajst-22335	87	16	and	and	CCONJ
ajst-22335	87	17	traffic	traffic	NOUN
ajst-22335	87	18	congestion	congestion	NOUN
ajst-22335	87	19	.	.	PUNCT
ajst-22335	88	1	this	this	DET
ajst-22335	88	2	dataset	dataset	NOUN
ajst-22335	88	3	is	be	AUX
ajst-22335	88	4	divided	divide	VERB
ajst-22335	88	5	into	into	ADP
ajst-22335	88	6	two	two	NUM
ajst-22335	88	7	subsets	subset	NOUN
ajst-22335	88	8	,	,	PUNCT
ajst-22335	88	9	each	each	PRON
ajst-22335	88	10	corresponding	correspond	VERB
ajst-22335	88	11	to	to	ADP
ajst-22335	88	12	different	different	ADJ
ajst-22335	88	13	scenarios	scenario	NOUN
ajst-22335	88	14	.	.	PUNCT
ajst-22335	89	1	the	the	DET
ajst-22335	89	2	peds1	peds1	NOUN
ajst-22335	89	3	subset	subset	VERB
ajst-22335	89	4	includes	include	VERB
ajst-22335	89	5	clips	clip	NOUN
ajst-22335	89	6	of	of	ADP
ajst-22335	89	7	crowds	crowd	NOUN
ajst-22335	89	8	walking	walk	VERB
ajst-22335	89	9	towards	towards	ADP
ajst-22335	89	10	and	and	CCONJ
ajst-22335	89	11	away	away	ADV
ajst-22335	89	12	from	from	ADP
ajst-22335	89	13	the	the	DET
ajst-22335	89	14	camera	camera	NOUN
ajst-22335	89	15	,	,	PUNCT
ajst-22335	89	16	along	along	ADP
ajst-22335	89	17	with	with	ADP
ajst-22335	89	18	some	some	DET
ajst-22335	89	19	perspective	perspective	ADJ
ajst-22335	89	20	distortion	distortion	NOUN
ajst-22335	89	21	,	,	PUNCT
ajst-22335	89	22	comprising	comprise	VERB
ajst-22335	89	23	34	34	NUM
ajst-22335	89	24	training	training	NOUN
ajst-22335	89	25	video	video	NOUN
ajst-22335	89	26	samples	sample	NOUN
ajst-22335	89	27	and	and	CCONJ
ajst-22335	89	28	36	36	NUM
ajst-22335	89	29	testing	testing	NOUN
ajst-22335	89	30	video	video	NOUN
ajst-22335	89	31	samples	sample	NOUN
ajst-22335	89	32	.	.	PUNCT
ajst-22335	90	1	the	the	DET
ajst-22335	90	2	other	other	ADJ
ajst-22335	90	3	subset	subset	NOUN
ajst-22335	90	4	,	,	PUNCT
ajst-22335	90	5	peds2	peds2	PROPN
ajst-22335	90	6	,	,	PUNCT
ajst-22335	90	7	contains	contain	VERB
ajst-22335	90	8	scenes	scene	NOUN
ajst-22335	90	9	of	of	ADP
ajst-22335	90	10	pedestrians	pedestrian	NOUN
ajst-22335	90	11	moving	move	VERB
ajst-22335	90	12	along	along	ADP
ajst-22335	90	13	the	the	DET
ajst-22335	90	14	camera	camera	NOUN
ajst-22335	90	15	plane	plane	NOUN
ajst-22335	90	16	,	,	PUNCT
ajst-22335	90	17	with	with	ADP
ajst-22335	90	18	a	a	DET
ajst-22335	90	19	total	total	NOUN
ajst-22335	90	20	of	of	ADP
ajst-22335	90	21	16	16	NUM
ajst-22335	90	22	training	training	NOUN
ajst-22335	90	23	video	video	NOUN
ajst-22335	90	24	samples	sample	NOUN
ajst-22335	90	25	and	and	CCONJ
ajst-22335	90	26	12	12	NUM
ajst-22335	90	27	testing	testing	NOUN
ajst-22335	90	28	video	video	NOUN
ajst-22335	90	29	samples	sample	NOUN
ajst-22335	90	30	.	.	PUNCT
ajst-22335	91	1	each	each	DET
ajst-22335	91	2	recorded	record	VERB
ajst-22335	91	3	video	video	NOUN
ajst-22335	91	4	segment	segment	NOUN
ajst-22335	91	5	in	in	ADP
ajst-22335	91	6	each	each	DET
ajst-22335	91	7	scenario	scenario	NOUN
ajst-22335	91	8	contains	contain	VERB
ajst-22335	91	9	approximately	approximately	ADV
ajst-22335	91	10	200	200	NUM
ajst-22335	91	11	frames	frame	NOUN
ajst-22335	91	12	.	.	PUNCT
ajst-22335	92	1	3.2	3.2	NUM
ajst-22335	92	2	.	.	PUNCT
ajst-22335	93	1	ucf	ucf	PROPN
ajst-22335	93	2	-	-	PUNCT
ajst-22335	93	3	crime	crime	NOUN
ajst-22335	93	4	dataset	dataset	VERB
ajst-22335	93	5	the	the	DET
ajst-22335	93	6	ucf	ucf	PROPN
ajst-22335	93	7	-	-	PUNCT
ajst-22335	93	8	crime	crime	NOUN
ajst-22335	93	9	dataset	dataset	NOUN
ajst-22335	94	1	[	[	X
ajst-22335	94	2	18	18	NUM
ajst-22335	94	3	]	]	PUNCT
ajst-22335	94	4	is	be	AUX
ajst-22335	94	5	a	a	DET
ajst-22335	94	6	large	large	ADJ
ajst-22335	94	7	-	-	PUNCT
ajst-22335	94	8	scale	scale	NOUN
ajst-22335	94	9	dataset	dataset	NOUN
ajst-22335	94	10	consisting	consist	VERB
ajst-22335	94	11	of	of	ADP
ajst-22335	94	12	128	128	NUM
ajst-22335	94	13	hours	hour	NOUN
ajst-22335	94	14	of	of	ADP
ajst-22335	94	15	video	video	NOUN
ajst-22335	94	16	footage	footage	NOUN
ajst-22335	94	17	,	,	PUNCT
ajst-22335	94	18	comprising	comprise	VERB
ajst-22335	94	19	1,900	1,900	NUM
ajst-22335	94	20	continuous	continuous	ADJ
ajst-22335	94	21	untrimmed	untrimmed	ADJ
ajst-22335	94	22	surveillance	surveillance	NOUN
ajst-22335	94	23	videos	video	NOUN
ajst-22335	94	24	.	.	PUNCT
ajst-22335	95	1	this	this	DET
ajst-22335	95	2	dataset	dataset	NOUN
ajst-22335	95	3	encompasses	encompass	VERB
ajst-22335	95	4	13	13	NUM
ajst-22335	95	5	types	type	NOUN
ajst-22335	95	6	of	of	ADP
ajst-22335	95	7	real	real	ADJ
ajst-22335	95	8	-	-	PUNCT
ajst-22335	95	9	life	life	NOUN
ajst-22335	95	10	abnormal	abnormal	ADJ
ajst-22335	95	11	behaviors	behavior	NOUN
ajst-22335	95	12	,	,	PUNCT
ajst-22335	95	13	including	include	VERB
ajst-22335	95	14	abuse	abuse	NOUN
ajst-22335	95	15	,	,	PUNCT
ajst-22335	95	16	arrest	arrest	NOUN
ajst-22335	95	17	,	,	PUNCT
ajst-22335	95	18	arson	arson	NOUN
ajst-22335	95	19	,	,	PUNCT
ajst-22335	95	20	assault	assault	NOUN
ajst-22335	95	21	,	,	PUNCT
ajst-22335	95	22	road	road	NOUN
ajst-22335	95	23	accidents	accident	NOUN
ajst-22335	95	24	,	,	PUNCT
ajst-22335	95	25	burglary	burglary	NOUN
ajst-22335	95	26	,	,	PUNCT
ajst-22335	95	27	explosion	explosion	NOUN
ajst-22335	95	28	,	,	PUNCT
ajst-22335	95	29	fighting	fighting	NOUN
ajst-22335	95	30	,	,	PUNCT
ajst-22335	95	31	robbery	robbery	NOUN
ajst-22335	95	32	,	,	PUNCT
ajst-22335	95	33	shooting	shooting	NOUN
ajst-22335	95	34	,	,	PUNCT
ajst-22335	95	35	theft	theft	NOUN
ajst-22335	95	36	,	,	PUNCT
ajst-22335	95	37	shoplifting	shoplifting	NOUN
ajst-22335	95	38	,	,	PUNCT
ajst-22335	95	39	and	and	CCONJ
ajst-22335	95	40	vandalism	vandalism	NOUN
ajst-22335	95	41	.	.	PUNCT
ajst-22335	96	1	3.3	3.3	NUM
ajst-22335	96	2	.	.	PUNCT
ajst-22335	97	1	shanghaitech	shanghaitech	NOUN
ajst-22335	97	2	campus	campus	NOUN
ajst-22335	97	3	dataset	dataset	VERB
ajst-22335	97	4	the	the	DET
ajst-22335	97	5	shanghaitech	shanghaitech	NOUN
ajst-22335	97	6	dataset	dataset	VERB
ajst-22335	97	7	[	[	X
ajst-22335	97	8	19	19	NUM
ajst-22335	97	9	]	]	PUNCT
ajst-22335	97	10	collected	collect	VERB
ajst-22335	97	11	video	video	NOUN
ajst-22335	97	12	sequences	sequence	NOUN
ajst-22335	97	13	from	from	ADP
ajst-22335	97	14	the	the	DET
ajst-22335	97	15	campus	campus	NOUN
ajst-22335	97	16	of	of	ADP
ajst-22335	97	17	shanghaitech	shanghaitech	PROPN
ajst-22335	97	18	university	university	NOUN
ajst-22335	97	19	,	,	PUNCT
ajst-22335	97	20	capturing	capture	VERB
ajst-22335	97	21	various	various	ADJ
ajst-22335	97	22	daily	daily	ADJ
ajst-22335	97	23	activities	activity	NOUN
ajst-22335	97	24	and	and	CCONJ
ajst-22335	97	25	abnormal	abnormal	ADJ
ajst-22335	97	26	events	event	NOUN
ajst-22335	97	27	such	such	ADJ
ajst-22335	97	28	as	as	ADP
ajst-22335	97	29	traffic	traffic	NOUN
ajst-22335	97	30	accidents	accident	NOUN
ajst-22335	97	31	and	and	CCONJ
ajst-22335	97	32	crowd	crowd	NOUN
ajst-22335	97	33	gatherings	gathering	NOUN
ajst-22335	97	34	.	.	PUNCT
ajst-22335	98	1	this	this	DET
ajst-22335	98	2	dataset	dataset	NOUN
ajst-22335	98	3	comprises	comprise	VERB
ajst-22335	98	4	330	330	NUM
ajst-22335	98	5	normal	normal	ADJ
ajst-22335	98	6	videos	video	NOUN
ajst-22335	98	7	for	for	ADP
ajst-22335	98	8	training	training	NOUN
ajst-22335	98	9	and	and	CCONJ
ajst-22335	98	10	107	107	NUM
ajst-22335	98	11	abnormal	abnormal	ADJ
ajst-22335	98	12	videos	video	NOUN
ajst-22335	98	13	for	for	ADP
ajst-22335	98	14	testing	testing	NOUN
ajst-22335	98	15	,	,	PUNCT
ajst-22335	98	16	encompassing	encompass	VERB
ajst-22335	98	17	13	13	NUM
ajst-22335	98	18	types	type	NOUN
ajst-22335	98	19	of	of	ADP
ajst-22335	98	20	abnormal	abnormal	ADJ
ajst-22335	98	21	events	event	NOUN
ajst-22335	98	22	.	.	PUNCT
ajst-22335	99	1	3.4	3.4	NUM
ajst-22335	99	2	.	.	PUNCT
ajst-22335	99	3	avenue	avenue	PROPN
ajst-22335	99	4	dataset	dataset	VERB
ajst-22335	99	5	the	the	DET
ajst-22335	99	6	avenue	avenue	NOUN
ajst-22335	99	7	dataset	dataset	NOUN
ajst-22335	100	1	[	[	X
ajst-22335	100	2	20	20	NUM
ajst-22335	100	3	]	]	PUNCT
ajst-22335	100	4	covers	cover	VERB
ajst-22335	100	5	video	video	NOUN
ajst-22335	100	6	sequences	sequence	NOUN
ajst-22335	100	7	from	from	ADP
ajst-22335	100	8	various	various	ADJ
ajst-22335	100	9	scenarios	scenario	NOUN
ajst-22335	100	10	,	,	PUNCT
ajst-22335	100	11	including	include	VERB
ajst-22335	100	12	campus	campus	NOUN
ajst-22335	100	13	and	and	CCONJ
ajst-22335	100	14	street	street	NOUN
ajst-22335	100	15	environments	environment	NOUN
ajst-22335	100	16	.	.	PUNCT
ajst-22335	101	1	some	some	PRON
ajst-22335	101	2	of	of	ADP
ajst-22335	101	3	the	the	DET
ajst-22335	101	4	video	video	NOUN
ajst-22335	101	5	sequences	sequence	NOUN
ajst-22335	101	6	in	in	ADP
ajst-22335	101	7	this	this	DET
ajst-22335	101	8	dataset	dataset	NOUN
ajst-22335	101	9	contain	contain	VERB
ajst-22335	101	10	various	various	ADJ
ajst-22335	101	11	abnormal	abnormal	ADJ
ajst-22335	101	12	events	event	NOUN
ajst-22335	101	13	such	such	ADJ
ajst-22335	101	14	as	as	ADP
ajst-22335	101	15	crowd	crowd	NOUN
ajst-22335	101	16	gatherings	gathering	NOUN
ajst-22335	101	17	and	and	CCONJ
ajst-22335	101	18	unusual	unusual	ADJ
ajst-22335	101	19	movements	movement	NOUN
ajst-22335	101	20	.	.	PUNCT
ajst-22335	102	1	the	the	DET
ajst-22335	102	2	dataset	dataset	NOUN
ajst-22335	102	3	comprises	comprise	VERB
ajst-22335	102	4	16	16	NUM
ajst-22335	102	5	training	training	NOUN
ajst-22335	102	6	videos	video	NOUN
ajst-22335	102	7	and	and	CCONJ
ajst-22335	102	8	21	21	NUM
ajst-22335	102	9	testing	testing	NOUN
ajst-22335	102	10	videos	video	NOUN
ajst-22335	102	11	,	,	PUNCT
ajst-22335	102	12	totaling	total	VERB
ajst-22335	102	13	30,652	30,652	NUM
ajst-22335	102	14	frames	frame	NOUN
ajst-22335	102	15	(	(	PUNCT
ajst-22335	102	16	15,328	15,328	NUM
ajst-22335	102	17	frames	frame	NOUN
ajst-22335	102	18	for	for	ADP
ajst-22335	102	19	training	training	NOUN
ajst-22335	102	20	and	and	CCONJ
ajst-22335	102	21	15,324	15,324	NUM
ajst-22335	102	22	frames	frame	NOUN
ajst-22335	102	23	for	for	ADP
ajst-22335	102	24	testing	testing	NOUN
ajst-22335	102	25	)	)	PUNCT
ajst-22335	102	26	.	.	PUNCT
ajst-22335	103	1	3.5	3.5	NUM
ajst-22335	103	2	.	.	PUNCT
ajst-22335	103	3	street	street	NOUN
ajst-22335	103	4	scene	scene	NOUN
ajst-22335	103	5	dataset	dataset	VERB
ajst-22335	103	6	the	the	DET
ajst-22335	103	7	street	street	NOUN
ajst-22335	103	8	scene	scene	NOUN
ajst-22335	103	9	dataset	dataset	VERB
ajst-22335	104	1	[	[	PUNCT
ajst-22335	104	2	21	21	NUM
ajst-22335	104	3	]	]	PUNCT
ajst-22335	104	4	consists	consist	VERB
ajst-22335	104	5	of	of	ADP
ajst-22335	104	6	46	46	NUM
ajst-22335	104	7	training	training	NOUN
ajst-22335	104	8	segments	segment	NOUN
ajst-22335	104	9	and	and	CCONJ
ajst-22335	104	10	35	35	NUM
ajst-22335	104	11	testing	testing	NOUN
ajst-22335	104	12	segments	segment	NOUN
ajst-22335	104	13	,	,	PUNCT
ajst-22335	104	14	with	with	ADP
ajst-22335	104	15	a	a	DET
ajst-22335	104	16	resolution	resolution	NOUN
ajst-22335	104	17	of	of	ADP
ajst-22335	104	18	1280×720	1280×720	NUM
ajst-22335	104	19	.	.	PUNCT
ajst-22335	105	1	these	these	DET
ajst-22335	105	2	segments	segment	NOUN
ajst-22335	105	3	were	be	AUX
ajst-22335	105	4	captured	capture	VERB
ajst-22335	105	5	in	in	ADP
ajst-22335	105	6	a	a	DET
ajst-22335	105	7	dualcarriageway	dualcarriageway	NOUN
ajst-22335	105	8	setting	setting	NOUN
ajst-22335	105	9	containing	contain	VERB
ajst-22335	105	10	both	both	DET
ajst-22335	105	11	bike	bike	NOUN
ajst-22335	105	12	lanes	lane	NOUN
ajst-22335	105	13	and	and	CCONJ
ajst-22335	105	14	sidewalks	sidewalk	NOUN
ajst-22335	105	15	.	.	PUNCT
ajst-22335	106	1	4	4	X
ajst-22335	106	2	.	.	X
ajst-22335	106	3	prospect	prospect	PROPN
ajst-22335	106	4	vad	vad	PROPN
ajst-22335	106	5	,	,	PUNCT
ajst-22335	106	6	as	as	ADP
ajst-22335	106	7	an	an	DET
ajst-22335	106	8	important	important	ADJ
ajst-22335	106	9	research	research	NOUN
ajst-22335	106	10	field	field	NOUN
ajst-22335	106	11	,	,	PUNCT
ajst-22335	106	12	holds	hold	VERB
ajst-22335	106	13	vast	vast	ADJ
ajst-22335	106	14	prospects	prospect	NOUN
ajst-22335	106	15	for	for	ADP
ajst-22335	106	16	future	future	ADJ
ajst-22335	106	17	development	development	NOUN
ajst-22335	106	18	.	.	PUNCT
ajst-22335	107	1	this	this	DET
ajst-22335	107	2	paper	paper	NOUN
ajst-22335	107	3	delves	delve	VERB
ajst-22335	107	4	into	into	ADP
ajst-22335	107	5	the	the	DET
ajst-22335	107	6	current	current	ADJ
ajst-22335	107	7	state	state	NOUN
ajst-22335	107	8	of	of	ADP
ajst-22335	107	9	research	research	NOUN
ajst-22335	107	10	in	in	ADP
ajst-22335	107	11	vad	vad	PROPN
ajst-22335	107	12	based	base	VERB
ajst-22335	107	13	on	on	ADP
ajst-22335	107	14	self	self	NOUN
ajst-22335	107	15	-	-	PUNCT
ajst-22335	107	16	supervised	supervise	VERB
ajst-22335	107	17	learning	learning	NOUN
ajst-22335	107	18	,	,	PUNCT
ajst-22335	107	19	focusing	focus	VERB
ajst-22335	107	20	on	on	ADP
ajst-22335	107	21	both	both	DET
ajst-22335	107	22	anomaly	anomaly	NOUN
ajst-22335	107	23	detection	detection	NOUN
ajst-22335	107	24	methods	method	NOUN
ajst-22335	107	25	and	and	CCONJ
ajst-22335	107	26	benchmark	benchmark	NOUN
ajst-22335	107	27	datasets	dataset	NOUN
ajst-22335	107	28	.	.	PUNCT
ajst-22335	108	1	overall	overall	ADJ
ajst-22335	108	2	,	,	PUNCT
ajst-22335	108	3	significant	significant	ADJ
ajst-22335	108	4	progress	progress	NOUN
ajst-22335	108	5	has	have	AUX
ajst-22335	108	6	been	be	AUX
ajst-22335	108	7	made	make	VERB
ajst-22335	108	8	in	in	ADP
ajst-22335	108	9	the	the	DET
ajst-22335	108	10	field	field	NOUN
ajst-22335	108	11	of	of	ADP
ajst-22335	108	12	vad	vad	PROPN
ajst-22335	108	13	.	.	PROPN
ajst-22335	108	14	future	future	ADJ
ajst-22335	108	15	research	research	NOUN
ajst-22335	108	16	can	can	AUX
ajst-22335	108	17	explore	explore	VERB
ajst-22335	108	18	more	more	ADV
ajst-22335	108	19	diverse	diverse	ADJ
ajst-22335	108	20	and	and	CCONJ
ajst-22335	108	21	comprehensive	comprehensive	ADJ
ajst-22335	108	22	self	self	NOUN
ajst-22335	108	23	-	-	PUNCT
ajst-22335	108	24	supervised	supervise	VERB
ajst-22335	108	25	learning	learning	NOUN
ajst-22335	108	26	tasks	task	NOUN
ajst-22335	108	27	to	to	PART
ajst-22335	108	28	better	well	ADJ
ajst-22335	108	29	leverage	leverage	VERB
ajst-22335	108	30	the	the	DET
ajst-22335	108	31	intrinsic	intrinsic	ADJ
ajst-22335	108	32	information	information	NOUN
ajst-22335	108	33	in	in	ADP
ajst-22335	108	34	video	video	NOUN
ajst-22335	108	35	data	datum	NOUN
ajst-22335	108	36	,	,	PUNCT
ajst-22335	108	37	as	as	ADV
ajst-22335	108	38	well	well	ADV
ajst-22335	108	39	as	as	ADP
ajst-22335	108	40	consider	consider	VERB
ajst-22335	108	41	integrating	integrate	VERB
ajst-22335	108	42	cross	cross	ADJ
ajst-22335	108	43	-	-	ADJ
ajst-22335	108	44	modal	modal	ADJ
ajst-22335	108	45	learning	learning	NOUN
ajst-22335	108	46	tasks	task	NOUN
ajst-22335	108	47	.	.	PUNCT
ajst-22335	109	1	furthermore	furthermore	ADV
ajst-22335	109	2	,	,	PUNCT
ajst-22335	109	3	vad	vad	PROPN
ajst-22335	109	4	technology	technology	NOUN
ajst-22335	109	5	can	can	AUX
ajst-22335	109	6	be	be	AUX
ajst-22335	109	7	more	more	ADV
ajst-22335	109	8	widely	widely	ADV
ajst-22335	109	9	applied	apply	VERB
ajst-22335	109	10	in	in	ADP
ajst-22335	109	11	various	various	ADJ
ajst-22335	109	12	domains	domain	NOUN
ajst-22335	109	13	such	such	ADJ
ajst-22335	109	14	as	as	ADP
ajst-22335	109	15	smart	smart	ADJ
ajst-22335	109	16	cities	city	NOUN
ajst-22335	109	17	,	,	PUNCT
ajst-22335	109	18	intelligent	intelligent	ADJ
ajst-22335	109	19	transportation	transportation	NOUN
ajst-22335	109	20	,	,	PUNCT
ajst-22335	109	21	and	and	CCONJ
ajst-22335	109	22	industrial	industrial	ADJ
ajst-22335	109	23	production	production	NOUN
ajst-22335	109	24	,	,	PUNCT
ajst-22335	109	25	providing	provide	VERB
ajst-22335	109	26	tailored	tailor	VERB
ajst-22335	109	27	solutions	solution	NOUN
ajst-22335	109	28	for	for	ADP
ajst-22335	109	29	different	different	ADJ
ajst-22335	109	30	application	application	NOUN
ajst-22335	109	31	scenarios	scenario	NOUN
ajst-22335	109	32	.	.	PUNCT
ajst-22335	110	1	acknowledgments	acknowledgment	NOUN
ajst-22335	110	2	this	this	DET
ajst-22335	110	3	work	work	NOUN
ajst-22335	110	4	was	be	AUX
ajst-22335	110	5	supported	support	VERB
ajst-22335	110	6	in	in	ADP
ajst-22335	110	7	part	part	NOUN
ajst-22335	110	8	by	by	ADP
ajst-22335	110	9	the	the	DET
ajst-22335	110	10	key	key	ADJ
ajst-22335	110	11	technologies	technology	NOUN
ajst-22335	110	12	r	r	PROPN
ajst-22335	110	13	&	&	CCONJ
ajst-22335	110	14	d	d	PROPN
ajst-22335	110	15	program	program	NOUN
ajst-22335	110	16	of	of	ADP
ajst-22335	110	17	henan	henan	PROPN
ajst-22335	110	18	province	province	PROPN
ajst-22335	110	19	under	under	ADP
ajst-22335	110	20	grant	grant	PROPN
ajst-22335	110	21	no	no	NOUN
ajst-22335	110	22	.	.	NOUN
ajst-22335	110	23	222102210080	222102210080	NUM
ajst-22335	110	24	and	and	CCONJ
ajst-22335	110	25	242102211024	242102211024	NUM
ajst-22335	110	26	,	,	PUNCT
ajst-22335	110	27	in	in	ADP
ajst-22335	110	28	part	part	NOUN
ajst-22335	110	29	by	by	ADP
ajst-22335	110	30	the	the	DET
ajst-22335	110	31	longmen	longmen	PROPN
ajst-22335	110	32	laboratory	laboratory	PROPN
ajst-22335	110	33	frontier	frontier	NOUN
ajst-22335	110	34	exploration	exploration	NOUN
ajst-22335	110	35	project	project	NOUN
ajst-22335	110	36	of	of	ADP
ajst-22335	110	37	henan	henan	PROPN
ajst-22335	110	38	province	province	PROPN
ajst-22335	110	39	under	under	ADP
ajst-22335	110	40	grant	grant	PROPN
ajst-22335	110	41	no	no	NOUN
ajst-22335	110	42	.	.	PUNCT
ajst-22335	111	1	mqytskt035	mqytskt035	PROPN
ajst-22335	111	2	,	,	PUNCT
ajst-22335	111	3	in	in	ADP
ajst-22335	111	4	part	part	NOUN
ajst-22335	111	5	by	by	ADP
ajst-22335	111	6	the	the	DET
ajst-22335	111	7	joint	joint	ADJ
ajst-22335	111	8	funds	fund	NOUN
ajst-22335	111	9	for	for	ADP
ajst-22335	111	10	science	science	NOUN
ajst-22335	111	11	and	and	CCONJ
ajst-22335	111	12	technology	technology	NOUN
ajst-22335	111	13	research	research	NOUN
ajst-22335	111	14	and	and	CCONJ
ajst-22335	111	15	development	development	NOUN
ajst-22335	111	16	plan	plan	NOUN
ajst-22335	111	17	of	of	ADP
ajst-22335	111	18	henan	henan	PROPN
ajst-22335	111	19	province	province	PROPN
ajst-22335	111	20	under	under	ADP
ajst-22335	111	21	grant	grant	PROPN
ajst-22335	111	22	no	no	NOUN
ajst-22335	111	23	.	.	NOUN
ajst-22335	111	24	222103810031	222103810031	NUM
ajst-22335	111	25	.	.	PUNCT
ajst-22335	112	1	references	reference	NOUN
ajst-22335	112	2	[	[	X
ajst-22335	112	3	1	1	X
ajst-22335	112	4	]	]	PUNCT
ajst-22335	112	5	xiang	xiang	PROPN
ajst-22335	112	6	t	t	PROPN
ajst-22335	112	7	,	,	PUNCT
ajst-22335	112	8	gong	gong	PROPN
ajst-22335	112	9	s.	s.	PROPN
ajst-22335	112	10	video	video	PROPN
ajst-22335	112	11	behavior	behavior	NOUN
ajst-22335	112	12	profiling	profiling	NOUN
ajst-22335	112	13	for	for	ADP
ajst-22335	112	14	anomaly	anomaly	PROPN
ajst-22335	112	15	detection[j	detection[j	PROPN
ajst-22335	112	16	]	]	PUNCT
ajst-22335	112	17	.	.	PUNCT
ajst-22335	113	1	ieee	ieee	NOUN
ajst-22335	113	2	transactions	transaction	NOUN
ajst-22335	113	3	on	on	ADP
ajst-22335	113	4	pattern	pattern	NOUN
ajst-22335	113	5	analysis	analysis	NOUN
ajst-22335	113	6	and	and	CCONJ
ajst-22335	113	7	machine	machine	NOUN
ajst-22335	113	8	intelligence	intelligence	NOUN
ajst-22335	113	9	,	,	PUNCT
ajst-22335	113	10	2008	2008	NUM
ajst-22335	113	11	,	,	PUNCT
ajst-22335	113	12	30(5	30(5	NUM
ajst-22335	113	13	):	):	PUNCT
ajst-22335	113	14	893	893	NUM
ajst-22335	113	15	-	-	SYM
ajst-22335	113	16	908	908	NUM
ajst-22335	113	17	.	.	PUNCT
ajst-22335	114	1	[	[	X
ajst-22335	114	2	2	2	NUM
ajst-22335	114	3	]	]	X
ajst-22335	114	4	sánchez	sánchez	NOUN
ajst-22335	114	5	f	f	PROPN
ajst-22335	114	6	l	l	PROPN
ajst-22335	114	7	,	,	PUNCT
ajst-22335	114	8	hupont	hupont	PROPN
ajst-22335	114	9	i	i	PROPN
ajst-22335	114	10	,	,	PUNCT
ajst-22335	114	11	tabik	tabik	PROPN
ajst-22335	114	12	s	s	PROPN
ajst-22335	114	13	,	,	PUNCT
ajst-22335	114	14	et	et	PROPN
ajst-22335	114	15	al	al	PROPN
ajst-22335	114	16	.	.	PUNCT
ajst-22335	114	17	revisiting	revisit	VERB
ajst-22335	114	18	crowd	crowd	NOUN
ajst-22335	114	19	behaviour	behaviour	NOUN
ajst-22335	114	20	analysis	analysis	NOUN
ajst-22335	114	21	through	through	ADP
ajst-22335	114	22	deep	deep	ADJ
ajst-22335	114	23	learning	learning	NOUN
ajst-22335	114	24	:	:	PUNCT
ajst-22335	114	25	taxonomy	taxonomy	NOUN
ajst-22335	114	26	,	,	PUNCT
ajst-22335	114	27	anomaly	anomaly	NOUN
ajst-22335	114	28	44	44	NUM
ajst-22335	114	29	detection	detection	NOUN
ajst-22335	114	30	,	,	PUNCT
ajst-22335	114	31	crowd	crowd	NOUN
ajst-22335	114	32	emotions	emotion	NOUN
ajst-22335	114	33	,	,	PUNCT
ajst-22335	114	34	datasets	dataset	NOUN
ajst-22335	114	35	,	,	PUNCT
ajst-22335	114	36	opportunities	opportunity	NOUN
ajst-22335	114	37	and	and	CCONJ
ajst-22335	114	38	prospects[j	prospects[j	NOUN
ajst-22335	114	39	]	]	PUNCT
ajst-22335	114	40	.	.	PUNCT
ajst-22335	115	1	information	information	NOUN
ajst-22335	115	2	fusion	fusion	NOUN
ajst-22335	115	3	,	,	PUNCT
ajst-22335	115	4	2020	2020	NUM
ajst-22335	115	5	,	,	PUNCT
ajst-22335	115	6	64	64	NUM
ajst-22335	115	7	:	:	SYM
ajst-22335	115	8	318	318	NUM
ajst-22335	115	9	-	-	SYM
ajst-22335	115	10	335	335	NUM
ajst-22335	115	11	.	.	PUNCT
ajst-22335	116	1	[	[	X
ajst-22335	116	2	3	3	X
ajst-22335	116	3	]	]	PUNCT
ajst-22335	116	4	xia	xia	PROPN
ajst-22335	116	5	x	x	PROPN
ajst-22335	116	6	,	,	PUNCT
ajst-22335	116	7	pan	pan	PROPN
ajst-22335	116	8	x	x	PROPN
ajst-22335	116	9	,	,	PUNCT
ajst-22335	116	10	li	li	PROPN
ajst-22335	116	11	n	n	PROPN
ajst-22335	116	12	,	,	PUNCT
ajst-22335	116	13	et	et	PROPN
ajst-22335	116	14	al	al	PROPN
ajst-22335	116	15	.	.	PUNCT
ajst-22335	116	16	gan	gan	PROPN
ajst-22335	116	17	-	-	PUNCT
ajst-22335	116	18	based	base	VERB
ajst-22335	116	19	anomaly	anomaly	NOUN
ajst-22335	116	20	detection	detection	NOUN
ajst-22335	116	21	:	:	PUNCT
ajst-22335	116	22	a	a	DET
ajst-22335	116	23	review[j	review[j	PROPN
ajst-22335	116	24	]	]	PUNCT
ajst-22335	116	25	.	.	PUNCT
ajst-22335	117	1	neurocomputing	neurocomputing	NOUN
ajst-22335	117	2	,	,	PUNCT
ajst-22335	117	3	2022	2022	NUM
ajst-22335	117	4	,	,	PUNCT
ajst-22335	117	5	493	493	NUM
ajst-22335	117	6	:	:	PUNCT
ajst-22335	117	7	497	497	NUM
ajst-22335	117	8	-	-	SYM
ajst-22335	117	9	535	535	NUM
ajst-22335	117	10	.	.	PUNCT
ajst-22335	118	1	[	[	X
ajst-22335	118	2	4	4	X
ajst-22335	118	3	]	]	PUNCT
ajst-22335	118	4	santhosh	santhosh	PROPN
ajst-22335	118	5	k	k	PROPN
ajst-22335	118	6	k	k	PROPN
ajst-22335	118	7	,	,	PUNCT
ajst-22335	118	8	dogra	dogra	PROPN
ajst-22335	118	9	d	d	X
ajst-22335	118	10	p	p	PROPN
ajst-22335	118	11	,	,	PUNCT
ajst-22335	118	12	roy	roy	PROPN
ajst-22335	118	13	p	p	PROPN
ajst-22335	118	14	p.	p.	PROPN
ajst-22335	118	15	anomaly	anomaly	PROPN
ajst-22335	118	16	detection	detection	NOUN
ajst-22335	118	17	in	in	ADP
ajst-22335	118	18	road	road	NOUN
ajst-22335	118	19	traffic	traffic	NOUN
ajst-22335	118	20	using	use	VERB
ajst-22335	118	21	visual	visual	ADJ
ajst-22335	118	22	surveillance	surveillance	NOUN
ajst-22335	118	23	:	:	PUNCT
ajst-22335	118	24	a	a	DET
ajst-22335	118	25	survey[j	survey[j	PROPN
ajst-22335	118	26	]	]	PUNCT
ajst-22335	118	27	.	.	PUNCT
ajst-22335	118	28	acm	acm	PROPN
ajst-22335	118	29	computing	computing	NOUN
ajst-22335	118	30	surveys	survey	NOUN
ajst-22335	118	31	(	(	PUNCT
ajst-22335	118	32	csur	csur	NOUN
ajst-22335	118	33	)	)	PUNCT
ajst-22335	118	34	,	,	PUNCT
ajst-22335	118	35	2020	2020	NUM
ajst-22335	118	36	,	,	PUNCT
ajst-22335	118	37	53(6	53(6	NUM
ajst-22335	118	38	):	):	PUNCT
ajst-22335	118	39	1	1	NUM
ajst-22335	118	40	-	-	SYM
ajst-22335	118	41	26	26	NUM
ajst-22335	118	42	.	.	PUNCT
ajst-22335	119	1	[	[	X
ajst-22335	119	2	5	5	X
ajst-22335	119	3	]	]	PUNCT
ajst-22335	119	4	wang	wang	PROPN
ajst-22335	119	5	l	l	PROPN
ajst-22335	119	6	,	,	PUNCT
ajst-22335	119	7	tian	tian	PROPN
ajst-22335	119	8	j	j	PROPN
ajst-22335	119	9	,	,	PUNCT
ajst-22335	119	10	zhou	zhou	PROPN
ajst-22335	119	11	s	s	PROPN
ajst-22335	119	12	,	,	PUNCT
ajst-22335	119	13	et	et	PROPN
ajst-22335	119	14	al	al	PROPN
ajst-22335	119	15	.	.	PUNCT
ajst-22335	119	16	memory	memory	NOUN
ajst-22335	119	17	-	-	PUNCT
ajst-22335	119	18	augmented	augment	VERB
ajst-22335	119	19	appearancemotion	appearancemotion	NOUN
ajst-22335	119	20	network	network	NOUN
ajst-22335	119	21	for	for	ADP
ajst-22335	119	22	video	video	NOUN
ajst-22335	119	23	anomaly	anomaly	NOUN
ajst-22335	119	24	detection[j	detection[j	PROPN
ajst-22335	119	25	]	]	PUNCT
ajst-22335	119	26	.	.	PUNCT
ajst-22335	120	1	pattern	pattern	NOUN
ajst-22335	120	2	recognition	recognition	NOUN
ajst-22335	120	3	,	,	PUNCT
ajst-22335	120	4	2023	2023	NUM
ajst-22335	120	5	,	,	PUNCT
ajst-22335	120	6	138	138	NUM
ajst-22335	120	7	:	:	SYM
ajst-22335	120	8	109335	109335	NUM
ajst-22335	120	9	.	.	PUNCT
ajst-22335	121	1	[	[	X
ajst-22335	121	2	6	6	NUM
ajst-22335	121	3	]	]	PUNCT
ajst-22335	121	4	xing	xing	PROPN
ajst-22335	121	5	p	p	X
ajst-22335	121	6	,	,	PUNCT
ajst-22335	121	7	li	li	PROPN
ajst-22335	121	8	z.	z.	PROPN
ajst-22335	121	9	visual	visual	PROPN
ajst-22335	121	10	anomaly	anomaly	PROPN
ajst-22335	121	11	detection	detection	NOUN
ajst-22335	121	12	via	via	ADP
ajst-22335	121	13	partition	partition	NOUN
ajst-22335	121	14	memory	memory	NOUN
ajst-22335	121	15	bank	bank	NOUN
ajst-22335	121	16	module	module	NOUN
ajst-22335	121	17	and	and	CCONJ
ajst-22335	121	18	error	error	NOUN
ajst-22335	121	19	estimation[j	estimation[j	NOUN
ajst-22335	121	20	]	]	PUNCT
ajst-22335	121	21	.	.	PUNCT
ajst-22335	122	1	ieee	ieee	NOUN
ajst-22335	122	2	transactions	transaction	NOUN
ajst-22335	122	3	on	on	ADP
ajst-22335	122	4	circuits	circuit	NOUN
ajst-22335	122	5	and	and	CCONJ
ajst-22335	122	6	systems	system	NOUN
ajst-22335	122	7	for	for	ADP
ajst-22335	122	8	video	video	NOUN
ajst-22335	122	9	technology	technology	NOUN
ajst-22335	122	10	,	,	PUNCT
ajst-22335	122	11	2023	2023	NUM
ajst-22335	122	12	.	.	PUNCT
ajst-22335	123	1	[	[	X
ajst-22335	123	2	7	7	X
ajst-22335	123	3	]	]	X
ajst-22335	123	4	hyun	hyun	PROPN
ajst-22335	123	5	w	w	PROPN
ajst-22335	123	6	,	,	PUNCT
ajst-22335	123	7	nam	nam	PROPN
ajst-22335	123	8	w	w	PROPN
ajst-22335	123	9	j	j	PROPN
ajst-22335	123	10	,	,	PUNCT
ajst-22335	123	11	lee	lee	PROPN
ajst-22335	123	12	s	s	PROPN
ajst-22335	123	13	w.	w.	PROPN
ajst-22335	123	14	dissimilate	dissimilate	PROPN
ajst-22335	123	15	-	-	PUNCT
ajst-22335	123	16	and	and	CCONJ
ajst-22335	123	17	-	-	PUNCT
ajst-22335	123	18	assimilate	assimilate	VERB
ajst-22335	123	19	strategy	strategy	NOUN
ajst-22335	123	20	for	for	ADP
ajst-22335	123	21	video	video	NOUN
ajst-22335	123	22	anomaly	anomaly	NOUN
ajst-22335	123	23	detection	detection	NOUN
ajst-22335	123	24	and	and	CCONJ
ajst-22335	123	25	localization[j	localization[j	NOUN
ajst-22335	123	26	]	]	PUNCT
ajst-22335	123	27	.	.	PUNCT
ajst-22335	124	1	neurocomputing	neurocomputing	NOUN
ajst-22335	124	2	,	,	PUNCT
ajst-22335	124	3	2023	2023	NUM
ajst-22335	124	4	,	,	PUNCT
ajst-22335	124	5	522	522	NUM
ajst-22335	124	6	:	:	PUNCT
ajst-22335	124	7	203	203	NUM
ajst-22335	124	8	-	-	SYM
ajst-22335	124	9	213	213	NUM
ajst-22335	124	10	.	.	PUNCT
ajst-22335	125	1	[	[	X
ajst-22335	125	2	8	8	NUM
ajst-22335	125	3	]	]	X
ajst-22335	125	4	hao	hao	PROPN
ajst-22335	125	5	y	y	PROPN
ajst-22335	125	6	,	,	PUNCT
ajst-22335	125	7	li	li	PROPN
ajst-22335	125	8	j	j	PROPN
ajst-22335	125	9	,	,	PUNCT
ajst-22335	125	10	wang	wang	PROPN
ajst-22335	125	11	n	n	AUX
ajst-22335	125	12	,	,	PUNCT
ajst-22335	125	13	et	et	PROPN
ajst-22335	125	14	al	al	PROPN
ajst-22335	125	15	.	.	PROPN
ajst-22335	126	1	spatiotemporal	spatiotemporal	ADJ
ajst-22335	126	2	consistencyenhanced	consistencyenhance	VERB
ajst-22335	126	3	network	network	NOUN
ajst-22335	126	4	for	for	ADP
ajst-22335	126	5	video	video	NOUN
ajst-22335	126	6	anomaly	anomaly	NOUN
ajst-22335	126	7	detection[j	detection[j	PROPN
ajst-22335	126	8	]	]	PUNCT
ajst-22335	126	9	.	.	PUNCT
ajst-22335	127	1	pattern	pattern	NOUN
ajst-22335	127	2	recognition	recognition	NOUN
ajst-22335	127	3	,	,	PUNCT
ajst-22335	127	4	2022	2022	NUM
ajst-22335	127	5	,	,	PUNCT
ajst-22335	127	6	121	121	NUM
ajst-22335	127	7	:	:	SYM
ajst-22335	127	8	108232	108232	NUM
ajst-22335	127	9	.	.	PUNCT
ajst-22335	128	1	[	[	X
ajst-22335	128	2	9	9	NUM
ajst-22335	128	3	]	]	SYM
ajst-22335	128	4	li	li	PROPN
ajst-22335	128	5	z	z	PROPN
ajst-22335	128	6	,	,	PUNCT
ajst-22335	128	7	zhao	zhao	PROPN
ajst-22335	128	8	m	m	PROPN
ajst-22335	128	9	,	,	PUNCT
ajst-22335	128	10	zeng	zeng	PROPN
ajst-22335	128	11	x	x	PROPN
ajst-22335	128	12	,	,	PUNCT
ajst-22335	128	13	et	et	PROPN
ajst-22335	128	14	al	al	PROPN
ajst-22335	128	15	.	.	PUNCT
ajst-22335	128	16	memory	memory	NOUN
ajst-22335	128	17	-	-	PUNCT
ajst-22335	128	18	augmented	augment	VERB
ajst-22335	128	19	spatialtemporal	spatialtemporal	ADJ
ajst-22335	128	20	consistency	consistency	NOUN
ajst-22335	128	21	network	network	NOUN
ajst-22335	128	22	for	for	ADP
ajst-22335	128	23	video	video	NOUN
ajst-22335	128	24	anomaly	anomaly	NOUN
ajst-22335	128	25	detection	detection	NOUN
ajst-22335	128	26	[	[	X
ajst-22335	128	27	c]//chinese	c]//chinese	ADJ
ajst-22335	128	28	conference	conference	NOUN
ajst-22335	128	29	on	on	ADP
ajst-22335	128	30	pattern	pattern	NOUN
ajst-22335	128	31	recognition	recognition	NOUN
ajst-22335	128	32	and	and	CCONJ
ajst-22335	128	33	computer	computer	NOUN
ajst-22335	128	34	vision	vision	NOUN
ajst-22335	128	35	(	(	PUNCT
ajst-22335	128	36	prcv	prcv	NOUN
ajst-22335	128	37	)	)	PUNCT
ajst-22335	128	38	.	.	PUNCT
ajst-22335	129	1	singapore	singapore	PROPN
ajst-22335	129	2	:	:	PUNCT
ajst-22335	129	3	springer	springer	NOUN
ajst-22335	129	4	nature	nature	PROPN
ajst-22335	129	5	singapore	singapore	PROPN
ajst-22335	129	6	,	,	PUNCT
ajst-22335	129	7	2023	2023	NUM
ajst-22335	129	8	:	:	PUNCT
ajst-22335	129	9	95	95	NUM
ajst-22335	129	10	-	-	SYM
ajst-22335	129	11	107	107	NUM
ajst-22335	129	12	.	.	PUNCT
ajst-22335	130	1	[	[	X
ajst-22335	130	2	10	10	NUM
ajst-22335	130	3	]	]	X
ajst-22335	130	4	chen	chen	PROPN
ajst-22335	130	5	m	m	PROPN
ajst-22335	130	6	,	,	PUNCT
ajst-22335	130	7	wei	wei	PROPN
ajst-22335	130	8	f	f	PROPN
ajst-22335	130	9	,	,	PUNCT
ajst-22335	130	10	li	li	PROPN
ajst-22335	130	11	c	c	PROPN
ajst-22335	130	12	,	,	PUNCT
ajst-22335	130	13	et	et	PROPN
ajst-22335	130	14	al	al	PROPN
ajst-22335	130	15	.	.	PROPN
ajst-22335	130	16	frame	frame	PROPN
ajst-22335	130	17	-	-	PUNCT
ajst-22335	130	18	wise	wise	ADJ
ajst-22335	130	19	action	action	NOUN
ajst-22335	130	20	representations	representation	NOUN
ajst-22335	130	21	for	for	ADP
ajst-22335	130	22	long	long	ADJ
ajst-22335	130	23	videos	video	NOUN
ajst-22335	130	24	via	via	ADP
ajst-22335	130	25	sequence	sequence	NOUN
ajst-22335	130	26	contrastive	contrastive	ADJ
ajst-22335	130	27	learning[c]//	learning[c]//	ADJ
ajst-22335	130	28	proceedings	proceeding	NOUN
ajst-22335	130	29	of	of	ADP
ajst-22335	130	30	the	the	DET
ajst-22335	130	31	ieee	ieee	NOUN
ajst-22335	130	32	/	/	SYM
ajst-22335	130	33	cvf	cvf	NOUN
ajst-22335	130	34	conference	conference	NOUN
ajst-22335	130	35	on	on	ADP
ajst-22335	130	36	computer	computer	NOUN
ajst-22335	130	37	vision	vision	NOUN
ajst-22335	130	38	and	and	CCONJ
ajst-22335	130	39	pattern	pattern	NOUN
ajst-22335	130	40	recognition	recognition	NOUN
ajst-22335	130	41	.	.	PUNCT
ajst-22335	131	1	2022	2022	NUM
ajst-22335	131	2	:	:	PUNCT
ajst-22335	131	3	13801	13801	NUM
ajst-22335	131	4	-	-	SYM
ajst-22335	131	5	13810	13810	NUM
ajst-22335	131	6	.	.	PUNCT
ajst-22335	132	1	[	[	X
ajst-22335	132	2	11	11	NUM
ajst-22335	132	3	]	]	SYM
ajst-22335	132	4	dwibedi	dwibedi	PROPN
ajst-22335	132	5	d	d	NOUN
ajst-22335	132	6	,	,	PUNCT
ajst-22335	132	7	aytar	aytar	PROPN
ajst-22335	132	8	y	y	PROPN
ajst-22335	132	9	,	,	PUNCT
ajst-22335	132	10	tompson	tompson	PROPN
ajst-22335	132	11	j	j	PROPN
ajst-22335	132	12	,	,	PUNCT
ajst-22335	132	13	et	et	PROPN
ajst-22335	132	14	al	al	PROPN
ajst-22335	132	15	.	.	PUNCT
ajst-22335	132	16	temporal	temporal	ADJ
ajst-22335	132	17	cycleconsistency	cycleconsistency	NOUN
ajst-22335	132	18	learning[c]//proceedings	learning[c]//proceeding	NOUN
ajst-22335	132	19	of	of	ADP
ajst-22335	132	20	the	the	DET
ajst-22335	132	21	ieee	ieee	NOUN
ajst-22335	132	22	/	/	SYM
ajst-22335	132	23	cvf	cvf	NOUN
ajst-22335	132	24	conference	conference	NOUN
ajst-22335	132	25	on	on	ADP
ajst-22335	132	26	computer	computer	NOUN
ajst-22335	132	27	vision	vision	NOUN
ajst-22335	132	28	and	and	CCONJ
ajst-22335	132	29	pattern	pattern	NOUN
ajst-22335	132	30	recognition	recognition	NOUN
ajst-22335	132	31	.	.	PUNCT
ajst-22335	133	1	2019	2019	NUM
ajst-22335	133	2	:	:	PUNCT
ajst-22335	133	3	1801	1801	NUM
ajst-22335	133	4	-	-	SYM
ajst-22335	133	5	1810	1810	NUM
ajst-22335	133	6	.	.	PUNCT
ajst-22335	134	1	[	[	X
ajst-22335	134	2	12	12	NUM
ajst-22335	134	3	]	]	PUNCT
ajst-22335	134	4	dvornik	dvornik	PROPN
ajst-22335	134	5	m	m	PROPN
ajst-22335	134	6	,	,	PUNCT
ajst-22335	134	7	hadji	hadji	PROPN
ajst-22335	134	8	i	i	PRON
ajst-22335	134	9	,	,	PUNCT
ajst-22335	134	10	derpanis	derpanis	PROPN
ajst-22335	134	11	k	k	PROPN
ajst-22335	134	12	g	g	PROPN
ajst-22335	134	13	,	,	PUNCT
ajst-22335	134	14	et	et	PROPN
ajst-22335	134	15	al	al	PROPN
ajst-22335	134	16	.	.	PUNCT
ajst-22335	134	17	drop	drop	PROPN
ajst-22335	134	18	-	-	PUNCT
ajst-22335	134	19	dtw	dtw	NOUN
ajst-22335	134	20	:	:	PUNCT
ajst-22335	134	21	aligning	align	VERB
ajst-22335	134	22	common	common	ADJ
ajst-22335	134	23	signal	signal	NOUN
ajst-22335	134	24	between	between	ADP
ajst-22335	134	25	sequences	sequence	NOUN
ajst-22335	134	26	while	while	SCONJ
ajst-22335	134	27	dropping	drop	VERB
ajst-22335	134	28	outliers[j	outliers[j	PROPN
ajst-22335	134	29	]	]	PUNCT
ajst-22335	134	30	.	.	PUNCT
ajst-22335	135	1	advances	advance	NOUN
ajst-22335	135	2	in	in	ADP
ajst-22335	135	3	neural	neural	ADJ
ajst-22335	135	4	information	information	NOUN
ajst-22335	135	5	processing	processing	NOUN
ajst-22335	135	6	systems	system	NOUN
ajst-22335	135	7	,	,	PUNCT
ajst-22335	135	8	2021	2021	NUM
ajst-22335	135	9	,	,	PUNCT
ajst-22335	135	10	34	34	NUM
ajst-22335	135	11	:	:	SYM
ajst-22335	135	12	13782	13782	NUM
ajst-22335	135	13	-	-	SYM
ajst-22335	135	14	13793	13793	NUM
ajst-22335	135	15	.	.	PUNCT
ajst-22335	136	1	[	[	X
ajst-22335	136	2	13	13	NUM
ajst-22335	136	3	]	]	X
ajst-22335	136	4	wang	wang	PROPN
ajst-22335	136	5	x	x	PROPN
ajst-22335	136	6	,	,	PUNCT
ajst-22335	136	7	zhu	zhu	PROPN
ajst-22335	136	8	l	l	NOUN
ajst-22335	136	9	,	,	PUNCT
ajst-22335	136	10	wu	wu	PROPN
ajst-22335	136	11	y	y	PROPN
ajst-22335	136	12	,	,	PUNCT
ajst-22335	136	13	et	et	PROPN
ajst-22335	136	14	al	al	PROPN
ajst-22335	136	15	.	.	PUNCT
ajst-22335	137	1	symbiotic	symbiotic	ADJ
ajst-22335	137	2	attention	attention	NOUN
ajst-22335	137	3	for	for	ADP
ajst-22335	137	4	egocentric	egocentric	ADJ
ajst-22335	137	5	action	action	NOUN
ajst-22335	137	6	recognition	recognition	NOUN
ajst-22335	137	7	with	with	ADP
ajst-22335	137	8	object	object	NOUN
ajst-22335	137	9	-	-	PUNCT
ajst-22335	137	10	centric	centric	NOUN
ajst-22335	137	11	alignment[j	alignment[j	ADV
ajst-22335	137	12	]	]	PUNCT
ajst-22335	137	13	.	.	PUNCT
ajst-22335	138	1	ieee	ieee	NOUN
ajst-22335	138	2	transactions	transaction	NOUN
ajst-22335	138	3	on	on	ADP
ajst-22335	138	4	pattern	pattern	NOUN
ajst-22335	138	5	analysis	analysis	NOUN
ajst-22335	138	6	and	and	CCONJ
ajst-22335	138	7	machine	machine	NOUN
ajst-22335	138	8	intelligence	intelligence	NOUN
ajst-22335	138	9	,	,	PUNCT
ajst-22335	138	10	2020	2020	NUM
ajst-22335	138	11	.	.	PUNCT
ajst-22335	139	1	[	[	X
ajst-22335	139	2	14	14	NUM
ajst-22335	139	3	]	]	X
ajst-22335	139	4	huang	huang	PROPN
ajst-22335	139	5	c	c	PROPN
ajst-22335	139	6	,	,	PUNCT
ajst-22335	139	7	wen	wen	PROPN
ajst-22335	139	8	j	j	PROPN
ajst-22335	139	9	,	,	PUNCT
ajst-22335	139	10	xu	xu	PROPN
ajst-22335	139	11	y	y	PROPN
ajst-22335	139	12	,	,	PUNCT
ajst-22335	139	13	et	et	PROPN
ajst-22335	139	14	al	al	PROPN
ajst-22335	139	15	.	.	PROPN
ajst-22335	139	16	self	self	NOUN
ajst-22335	139	17	-	-	PUNCT
ajst-22335	139	18	supervised	supervise	VERB
ajst-22335	139	19	attentive	attentive	ADJ
ajst-22335	139	20	generative	generative	ADJ
ajst-22335	139	21	adversarial	adversarial	ADJ
ajst-22335	139	22	networks	network	NOUN
ajst-22335	139	23	for	for	ADP
ajst-22335	139	24	video	video	NOUN
ajst-22335	139	25	anomaly	anomaly	NOUN
ajst-22335	139	26	detection[j	detection[j	PROPN
ajst-22335	139	27	]	]	PUNCT
ajst-22335	139	28	.	.	PUNCT
ajst-22335	140	1	ieee	ieee	NOUN
ajst-22335	140	2	transactions	transaction	NOUN
ajst-22335	140	3	on	on	ADP
ajst-22335	140	4	neural	neural	ADJ
ajst-22335	140	5	networks	network	NOUN
ajst-22335	140	6	and	and	CCONJ
ajst-22335	140	7	learning	learning	NOUN
ajst-22335	140	8	systems	system	NOUN
ajst-22335	140	9	,	,	PUNCT
ajst-22335	140	10	2022	2022	NUM
ajst-22335	140	11	.	.	PUNCT
ajst-22335	141	1	[	[	X
ajst-22335	141	2	15	15	NUM
ajst-22335	141	3	]	]	X
ajst-22335	141	4	chen	chen	PROPN
ajst-22335	142	1	d	d	PROPN
ajst-22335	142	2	,	,	PUNCT
ajst-22335	142	3	yue	yue	PROPN
ajst-22335	142	4	l	l	PROPN
ajst-22335	142	5	,	,	PUNCT
ajst-22335	142	6	chang	chang	PROPN
ajst-22335	142	7	x	x	PROPN
ajst-22335	142	8	,	,	PUNCT
ajst-22335	142	9	et	et	PROPN
ajst-22335	142	10	al	al	PROPN
ajst-22335	142	11	.	.	PUNCT
ajst-22335	142	12	nm	nm	PROPN
ajst-22335	142	13	-	-	PUNCT
ajst-22335	142	14	gan	gan	ADJ
ajst-22335	142	15	:	:	PUNCT
ajst-22335	142	16	noise	noise	NOUN
ajst-22335	142	17	-	-	PUNCT
ajst-22335	142	18	modulated	modulate	VERB
ajst-22335	142	19	generative	generative	ADJ
ajst-22335	142	20	adversarial	adversarial	ADJ
ajst-22335	142	21	network	network	NOUN
ajst-22335	142	22	for	for	ADP
ajst-22335	142	23	video	video	NOUN
ajst-22335	142	24	anomaly	anomaly	NOUN
ajst-22335	142	25	detection[j	detection[j	PROPN
ajst-22335	142	26	]	]	PUNCT
ajst-22335	142	27	.	.	PUNCT
ajst-22335	143	1	pattern	pattern	NOUN
ajst-22335	143	2	recognition	recognition	NOUN
ajst-22335	143	3	,	,	PUNCT
ajst-22335	143	4	2021	2021	NUM
ajst-22335	143	5	,	,	PUNCT
ajst-22335	143	6	116	116	NUM
ajst-22335	143	7	:	:	SYM
ajst-22335	143	8	107969	107969	NUM
ajst-22335	143	9	.	.	PUNCT
ajst-22335	144	1	[	[	X
ajst-22335	144	2	16	16	NUM
ajst-22335	144	3	]	]	X
ajst-22335	144	4	wang	wang	PROPN
ajst-22335	144	5	t	t	PROPN
ajst-22335	144	6	,	,	PUNCT
ajst-22335	144	7	qiao	qiao	PROPN
ajst-22335	144	8	m	m	PROPN
ajst-22335	144	9	,	,	PUNCT
ajst-22335	144	10	lin	lin	PROPN
ajst-22335	144	11	z	z	PROPN
ajst-22335	144	12	,	,	PUNCT
ajst-22335	144	13	et	et	PROPN
ajst-22335	144	14	al	al	PROPN
ajst-22335	144	15	.	.	PROPN
ajst-22335	145	1	generative	generative	ADJ
ajst-22335	145	2	neural	neural	ADJ
ajst-22335	145	3	networks	network	NOUN
ajst-22335	145	4	for	for	ADP
ajst-22335	145	5	anomaly	anomaly	NOUN
ajst-22335	145	6	detection	detection	NOUN
ajst-22335	145	7	in	in	ADP
ajst-22335	145	8	crowded	crowded	ADJ
ajst-22335	145	9	scenes[j	scenes[j	NOUN
ajst-22335	145	10	]	]	PUNCT
ajst-22335	145	11	.	.	PUNCT
ajst-22335	146	1	ieee	ieee	NOUN
ajst-22335	146	2	transactions	transaction	NOUN
ajst-22335	146	3	on	on	ADP
ajst-22335	146	4	information	information	NOUN
ajst-22335	146	5	forensics	forensic	NOUN
ajst-22335	146	6	and	and	CCONJ
ajst-22335	146	7	security	security	NOUN
ajst-22335	146	8	,	,	PUNCT
ajst-22335	146	9	2018	2018	NUM
ajst-22335	146	10	,	,	PUNCT
ajst-22335	146	11	14(5	14(5	NUM
ajst-22335	146	12	):	):	PUNCT
ajst-22335	146	13	1390	1390	NUM
ajst-22335	146	14	-	-	SYM
ajst-22335	146	15	1399	1399	NUM
ajst-22335	146	16	.	.	PUNCT
ajst-22335	147	1	[	[	X
ajst-22335	147	2	17	17	NUM
ajst-22335	147	3	]	]	X
ajst-22335	147	4	wang	wang	PROPN
ajst-22335	147	5	s	s	PROPN
ajst-22335	147	6	,	,	PUNCT
ajst-22335	147	7	miao	miao	PROPN
ajst-22335	147	8	z.	z.	PROPN
ajst-22335	147	9	anomaly	anomaly	PROPN
ajst-22335	147	10	detection	detection	NOUN
ajst-22335	147	11	in	in	ADP
ajst-22335	147	12	crowd	crowd	NOUN
ajst-22335	147	13	scene[c]//ieee	scene[c]//ieee	PROPN
ajst-22335	147	14	10th	10th	ADJ
ajst-22335	147	15	international	international	ADJ
ajst-22335	147	16	conference	conference	NOUN
ajst-22335	147	17	on	on	ADP
ajst-22335	147	18	signal	signal	ADJ
ajst-22335	147	19	processing	processing	NOUN
ajst-22335	147	20	proceedings	proceeding	NOUN
ajst-22335	147	21	.	.	PUNCT
ajst-22335	148	1	ieee	ieee	NOUN
ajst-22335	148	2	,	,	PUNCT
ajst-22335	148	3	2010	2010	NUM
ajst-22335	148	4	:	:	PUNCT
ajst-22335	148	5	1220	1220	NUM
ajst-22335	148	6	-	-	SYM
ajst-22335	148	7	1223	1223	NUM
ajst-22335	148	8	.	.	PUNCT
ajst-22335	149	1	[	[	X
ajst-22335	149	2	18	18	NUM
ajst-22335	149	3	]	]	X
ajst-22335	149	4	ravanbakhsh	ravanbakhsh	NOUN
ajst-22335	149	5	m	m	PROPN
ajst-22335	149	6	,	,	PUNCT
ajst-22335	149	7	nabi	nabi	PROPN
ajst-22335	149	8	m	m	PROPN
ajst-22335	149	9	,	,	PUNCT
ajst-22335	149	10	mousavi	mousavi	PROPN
ajst-22335	149	11	h	h	PROPN
ajst-22335	149	12	,	,	PUNCT
ajst-22335	149	13	et	et	PROPN
ajst-22335	149	14	al	al	PROPN
ajst-22335	149	15	.	.	PROPN
ajst-22335	149	16	plug	plug	PROPN
ajst-22335	149	17	-	-	PUNCT
ajst-22335	149	18	and	and	CCONJ
ajst-22335	149	19	-	-	PUNCT
ajst-22335	149	20	play	play	VERB
ajst-22335	149	21	cnn	cnn	PROPN
ajst-22335	149	22	for	for	ADP
ajst-22335	149	23	crowd	crowd	NOUN
ajst-22335	149	24	motion	motion	NOUN
ajst-22335	149	25	analysis	analysis	NOUN
ajst-22335	149	26	:	:	PUNCT
ajst-22335	149	27	an	an	DET
ajst-22335	149	28	application	application	NOUN
ajst-22335	149	29	in	in	ADP
ajst-22335	149	30	abnormal	abnormal	ADJ
ajst-22335	149	31	event	event	NOUN
ajst-22335	149	32	detection[c]//2018	detection[c]//2018	PUNCT
ajst-22335	149	33	ieee	ieee	NOUN
ajst-22335	149	34	winter	winter	NOUN
ajst-22335	149	35	conference	conference	NOUN
ajst-22335	149	36	on	on	ADP
ajst-22335	149	37	applications	application	NOUN
ajst-22335	149	38	of	of	ADP
ajst-22335	149	39	computer	computer	NOUN
ajst-22335	149	40	vision	vision	NOUN
ajst-22335	149	41	(	(	PUNCT
ajst-22335	149	42	wacv	wacv	NOUN
ajst-22335	149	43	)	)	PUNCT
ajst-22335	149	44	.	.	PUNCT
ajst-22335	150	1	ieee	ieee	NOUN
ajst-22335	150	2	,	,	PUNCT
ajst-22335	150	3	2018	2018	NUM
ajst-22335	150	4	:	:	PUNCT
ajst-22335	150	5	1689	1689	NUM
ajst-22335	150	6	-	-	SYM
ajst-22335	150	7	1698	1698	NUM
ajst-22335	150	8	.	.	PUNCT
ajst-22335	151	1	[	[	X
ajst-22335	151	2	19	19	NUM
ajst-22335	151	3	]	]	X
ajst-22335	151	4	luo	luo	PROPN
ajst-22335	151	5	w	w	PROPN
ajst-22335	151	6	,	,	PUNCT
ajst-22335	151	7	liu	liu	PROPN
ajst-22335	151	8	w	w	PROPN
ajst-22335	151	9	,	,	PUNCT
ajst-22335	151	10	gao	gao	PROPN
ajst-22335	151	11	s.	s.	PROPN
ajst-22335	151	12	a	a	DET
ajst-22335	151	13	revisit	revisit	NOUN
ajst-22335	151	14	of	of	ADP
ajst-22335	151	15	sparse	sparse	ADJ
ajst-22335	151	16	coding	coding	NOUN
ajst-22335	151	17	based	base	VERB
ajst-22335	151	18	anomaly	anomaly	NOUN
ajst-22335	151	19	detection	detection	NOUN
ajst-22335	151	20	in	in	ADP
ajst-22335	151	21	stacked	stack	VERB
ajst-22335	151	22	rnn	rnn	NOUN
ajst-22335	151	23	framework[c]//proceedings	framework[c]//proceeding	NOUN
ajst-22335	151	24	of	of	ADP
ajst-22335	151	25	the	the	DET
ajst-22335	151	26	ieee	ieee	NOUN
ajst-22335	151	27	international	international	PROPN
ajst-22335	151	28	conference	conference	NOUN
ajst-22335	151	29	on	on	ADP
ajst-22335	151	30	computer	computer	NOUN
ajst-22335	151	31	vision	vision	NOUN
ajst-22335	151	32	.	.	PUNCT
ajst-22335	152	1	2017	2017	NUM
ajst-22335	152	2	:	:	PUNCT
ajst-22335	153	1	341	341	NUM
ajst-22335	153	2	-	-	SYM
ajst-22335	153	3	349	349	NUM
ajst-22335	153	4	.	.	PUNCT
ajst-22335	154	1	[	[	X
ajst-22335	154	2	20	20	NUM
ajst-22335	154	3	]	]	X
ajst-22335	154	4	lu	lu	PROPN
ajst-22335	154	5	c	c	NOUN
ajst-22335	154	6	,	,	PUNCT
ajst-22335	154	7	shi	shi	PROPN
ajst-22335	154	8	j	j	PROPN
ajst-22335	154	9	,	,	PUNCT
ajst-22335	154	10	jia	jia	PROPN
ajst-22335	154	11	j.	j.	PROPN
ajst-22335	154	12	abnormal	abnormal	ADJ
ajst-22335	154	13	event	event	NOUN
ajst-22335	154	14	detection	detection	NOUN
ajst-22335	154	15	at	at	ADP
ajst-22335	154	16	150	150	NUM
ajst-22335	154	17	fps	fps	NOUN
ajst-22335	154	18	in	in	ADP
ajst-22335	154	19	matlab[c]//proceedings	matlab[c]//proceeding	NOUN
ajst-22335	154	20	of	of	ADP
ajst-22335	154	21	the	the	DET
ajst-22335	154	22	ieee	ieee	NOUN
ajst-22335	154	23	international	international	PROPN
ajst-22335	154	24	conference	conference	NOUN
ajst-22335	154	25	on	on	ADP
ajst-22335	154	26	computer	computer	NOUN
ajst-22335	154	27	vision	vision	NOUN
ajst-22335	154	28	.	.	PUNCT
ajst-22335	155	1	2013	2013	NUM
ajst-22335	155	2	:	:	PUNCT
ajst-22335	155	3	2720	2720	NUM
ajst-22335	155	4	-	-	SYM
ajst-22335	155	5	2727	2727	NUM
ajst-22335	155	6	.	.	PUNCT
ajst-22335	156	1	[	[	X
ajst-22335	156	2	21	21	NUM
ajst-22335	156	3	]	]	X
ajst-22335	156	4	ramachandra	ramachandra	PROPN
ajst-22335	156	5	b	b	PROPN
ajst-22335	156	6	,	,	PUNCT
ajst-22335	156	7	jones	jones	PROPN
ajst-22335	156	8	m.	m.	PROPN
ajst-22335	156	9	street	street	PROPN
ajst-22335	156	10	scene	scene	PROPN
ajst-22335	156	11	:	:	PUNCT
ajst-22335	156	12	a	a	DET
ajst-22335	156	13	new	new	ADJ
ajst-22335	156	14	dataset	dataset	NOUN
ajst-22335	156	15	and	and	CCONJ
ajst-22335	156	16	evaluation	evaluation	NOUN
ajst-22335	156	17	protocol	protocol	NOUN
ajst-22335	156	18	for	for	ADP
ajst-22335	156	19	video	video	NOUN
ajst-22335	156	20	anomaly	anomaly	NOUN
ajst-22335	156	21	detection[c]//	detection[c]//	PROPN
ajst-22335	156	22	proceedings	proceeding	NOUN
ajst-22335	156	23	of	of	ADP
ajst-22335	156	24	the	the	DET
ajst-22335	156	25	ieee	ieee	NOUN
ajst-22335	156	26	/	/	SYM
ajst-22335	156	27	cvf	cvf	NOUN
ajst-22335	156	28	winter	winter	NOUN
ajst-22335	156	29	conference	conference	NOUN
ajst-22335	156	30	on	on	ADP
ajst-22335	156	31	applications	application	NOUN
ajst-22335	156	32	of	of	ADP
ajst-22335	156	33	computer	computer	NOUN
ajst-22335	156	34	vision	vision	NOUN
ajst-22335	156	35	.	.	PUNCT
ajst-22335	157	1	2020	2020	NUM
ajst-22335	157	2	:	:	PUNCT
ajst-22335	157	3	2569	2569	NUM
ajst-22335	157	4	-	-	SYM
ajst-22335	157	5	2578	2578	NUM
ajst-22335	157	6	.	.	PUNCT