id	sid	tid	token	lemma	pos
fcis-6908	1	1	frontiers	frontier	NOUN
fcis-6908	1	2	in	in	ADP
fcis-6908	1	3	computing	computing	NOUN
fcis-6908	1	4	and	and	CCONJ
fcis-6908	1	5	intelligent	intelligent	ADJ
fcis-6908	1	6	systems	system	NOUN
fcis-6908	1	7	issn	issn	VERB
fcis-6908	1	8	:	:	PUNCT
fcis-6908	1	9	2832	2832	NUM
fcis-6908	1	10	-	-	SYM
fcis-6908	1	11	6024	6024	NUM
fcis-6908	1	12	|	|	NOUN
fcis-6908	1	13	vol	vol	NOUN
fcis-6908	1	14	.	.	PROPN
fcis-6908	2	1	3	3	NUM
fcis-6908	2	2	,	,	PUNCT
fcis-6908	2	3	no	no	INTJ
fcis-6908	2	4	.	.	NOUN
fcis-6908	2	5	2	2	NUM
fcis-6908	2	6	,	,	PUNCT
fcis-6908	2	7	2023	2023	NUM
fcis-6908	2	8	5	5	NUM
fcis-6908	2	9	a	a	DET
fcis-6908	2	10	review	review	NOUN
fcis-6908	2	11	of	of	ADP
fcis-6908	2	12	video	video	NOUN
fcis-6908	2	13	action	action	NOUN
fcis-6908	2	14	detection	detection	NOUN
fcis-6908	2	15	based	base	VERB
fcis-6908	2	16	on	on	ADP
fcis-6908	2	17	deep	deep	ADJ
fcis-6908	2	18	learning	learning	NOUN
fcis-6908	2	19	zhuofan	zhuofan	PROPN
fcis-6908	2	20	zeng	zeng	PROPN
fcis-6908	2	21	michigan	michigan	PROPN
fcis-6908	2	22	state	state	PROPN
fcis-6908	2	23	university	university	PROPN
fcis-6908	2	24	,	,	PUNCT
fcis-6908	2	25	east	east	PROPN
fcis-6908	2	26	lansing	lansing	PROPN
fcis-6908	2	27	,	,	PUNCT
fcis-6908	2	28	michigan	michigan	PROPN
fcis-6908	2	29	state	state	PROPN
fcis-6908	2	30	,	,	PUNCT
fcis-6908	2	31	48824	48824	NUM
fcis-6908	2	32	,	,	PUNCT
fcis-6908	2	33	usa	usa	PROPN
fcis-6908	2	34	abstract	abstract	PROPN
fcis-6908	2	35	:	:	PUNCT
fcis-6908	2	36	currently	currently	ADV
fcis-6908	2	37	,	,	PUNCT
fcis-6908	2	38	the	the	DET
fcis-6908	2	39	application	application	NOUN
fcis-6908	2	40	of	of	ADP
fcis-6908	2	41	deep	deep	ADJ
fcis-6908	2	42	learning	learning	NOUN
fcis-6908	2	43	to	to	ADP
fcis-6908	2	44	solving	solve	VERB
fcis-6908	2	45	problems	problem	NOUN
fcis-6908	2	46	associated	associate	VERB
fcis-6908	2	47	with	with	ADP
fcis-6908	2	48	traditional	traditional	ADJ
fcis-6908	2	49	surveillance	surveillance	NOUN
fcis-6908	2	50	video	video	NOUN
fcis-6908	2	51	analysis	analysis	NOUN
fcis-6908	2	52	has	have	AUX
fcis-6908	2	53	become	become	VERB
fcis-6908	2	54	one	one	NUM
fcis-6908	2	55	of	of	ADP
fcis-6908	2	56	the	the	DET
fcis-6908	2	57	research	research	NOUN
fcis-6908	2	58	hot	hot	ADJ
fcis-6908	2	59	topics	topic	NOUN
fcis-6908	2	60	.	.	PUNCT
fcis-6908	3	1	the	the	DET
fcis-6908	3	2	video	video	NOUN
fcis-6908	3	3	action	action	NOUN
fcis-6908	3	4	detection	detection	NOUN
fcis-6908	3	5	is	be	AUX
fcis-6908	3	6	referred	refer	VERB
fcis-6908	3	7	to	to	ADP
fcis-6908	3	8	as	as	ADP
fcis-6908	3	9	detecting	detect	VERB
fcis-6908	3	10	the	the	DET
fcis-6908	3	11	temporal	temporal	ADJ
fcis-6908	3	12	segments	segment	NOUN
fcis-6908	3	13	containing	contain	VERB
fcis-6908	3	14	the	the	DET
fcis-6908	3	15	action	action	NOUN
fcis-6908	3	16	in	in	ADP
fcis-6908	3	17	the	the	DET
fcis-6908	3	18	video	video	NOUN
fcis-6908	3	19	as	as	ADP
fcis-6908	3	20	temporal	temporal	ADJ
fcis-6908	3	21	action	action	NOUN
fcis-6908	3	22	proposals	proposal	NOUN
fcis-6908	3	23	.	.	PUNCT
fcis-6908	4	1	the	the	DET
fcis-6908	4	2	existing	exist	VERB
fcis-6908	4	3	work	work	NOUN
fcis-6908	4	4	is	be	AUX
fcis-6908	4	5	mainly	mainly	ADV
fcis-6908	4	6	classified	classify	VERB
fcis-6908	4	7	into	into	ADP
fcis-6908	4	8	two	two	NUM
fcis-6908	4	9	categories	category	NOUN
fcis-6908	4	10	:	:	PUNCT
fcis-6908	4	11	one	one	NUM
fcis-6908	4	12	is	be	AUX
fcis-6908	4	13	to	to	PART
fcis-6908	4	14	use	use	VERB
fcis-6908	4	15	the	the	DET
fcis-6908	4	16	low	low	ADJ
fcis-6908	4	17	-	-	PUNCT
fcis-6908	4	18	level	level	NOUN
fcis-6908	4	19	details	detail	NOUN
fcis-6908	4	20	of	of	ADP
fcis-6908	4	21	video	video	NOUN
fcis-6908	4	22	to	to	PART
fcis-6908	4	23	generate	generate	VERB
fcis-6908	4	24	action	action	NOUN
fcis-6908	4	25	proposals	proposal	NOUN
fcis-6908	4	26	;	;	PUNCT
fcis-6908	4	27	the	the	DET
fcis-6908	4	28	other	other	ADJ
fcis-6908	4	29	is	be	AUX
fcis-6908	4	30	to	to	PART
fcis-6908	4	31	use	use	VERB
fcis-6908	4	32	the	the	DET
fcis-6908	4	33	high	high	ADJ
fcis-6908	4	34	-	-	PUNCT
fcis-6908	4	35	level	level	NOUN
fcis-6908	4	36	semantics	semantic	NOUN
fcis-6908	4	37	of	of	ADP
fcis-6908	4	38	video	video	NOUN
fcis-6908	4	39	to	to	PART
fcis-6908	4	40	generate	generate	VERB
fcis-6908	4	41	action	action	NOUN
fcis-6908	4	42	proposals	proposal	NOUN
fcis-6908	4	43	.	.	PUNCT
fcis-6908	5	1	by	by	ADP
fcis-6908	5	2	deeply	deeply	ADV
fcis-6908	5	3	researching	research	VERB
fcis-6908	5	4	the	the	DET
fcis-6908	5	5	video	video	NOUN
fcis-6908	5	6	action	action	NOUN
fcis-6908	5	7	detection	detection	NOUN
fcis-6908	5	8	methods	method	NOUN
fcis-6908	5	9	based	base	VERB
fcis-6908	5	10	on	on	ADP
fcis-6908	5	11	deep	deep	ADJ
fcis-6908	5	12	learning	learning	NOUN
fcis-6908	5	13	,	,	PUNCT
fcis-6908	5	14	this	this	DET
fcis-6908	5	15	paper	paper	NOUN
fcis-6908	5	16	is	be	AUX
fcis-6908	5	17	an	an	DET
fcis-6908	5	18	attempt	attempt	NOUN
fcis-6908	5	19	to	to	PART
fcis-6908	5	20	find	find	VERB
fcis-6908	5	21	out	out	ADP
fcis-6908	5	22	problems	problem	NOUN
fcis-6908	5	23	with	with	ADP
fcis-6908	5	24	the	the	DET
fcis-6908	5	25	existing	exist	VERB
fcis-6908	5	26	methods	method	NOUN
fcis-6908	5	27	and	and	CCONJ
fcis-6908	5	28	put	put	VERB
fcis-6908	5	29	forward	forward	ADV
fcis-6908	5	30	some	some	DET
fcis-6908	5	31	suggestion	suggestion	NOUN
fcis-6908	5	32	for	for	ADP
fcis-6908	5	33	improvement	improvement	NOUN
fcis-6908	5	34	.	.	PUNCT
fcis-6908	6	1	keywords	keyword	NOUN
fcis-6908	6	2	:	:	PUNCT
fcis-6908	6	3	video	video	NOUN
fcis-6908	6	4	action	action	NOUN
fcis-6908	6	5	detection	detection	NOUN
fcis-6908	6	6	;	;	PUNCT
fcis-6908	6	7	deep	deep	ADJ
fcis-6908	6	8	learning	learning	NOUN
fcis-6908	6	9	;	;	PUNCT
fcis-6908	6	10	dataset	dataset	VERB
fcis-6908	6	11	.	.	PUNCT
fcis-6908	7	1	1	1	X
fcis-6908	7	2	.	.	X
fcis-6908	7	3	introduction	introduction	NOUN
fcis-6908	7	4	the	the	DET
fcis-6908	7	5	majority	majority	NOUN
fcis-6908	7	6	of	of	ADP
fcis-6908	7	7	meaningful	meaningful	ADJ
fcis-6908	7	8	information	information	NOUN
fcis-6908	7	9	in	in	ADP
fcis-6908	7	10	video	video	NOUN
fcis-6908	7	11	is	be	AUX
fcis-6908	7	12	associated	associate	VERB
fcis-6908	7	13	with	with	ADP
fcis-6908	7	14	human	human	ADJ
fcis-6908	7	15	activities	activity	NOUN
fcis-6908	7	16	,	,	PUNCT
fcis-6908	7	17	therefore	therefore	ADV
fcis-6908	7	18	,	,	PUNCT
fcis-6908	7	19	the	the	DET
fcis-6908	7	20	detection	detection	NOUN
fcis-6908	7	21	of	of	ADP
fcis-6908	7	22	human	human	ADJ
fcis-6908	7	23	action	action	NOUN
fcis-6908	7	24	in	in	ADP
fcis-6908	7	25	a	a	DET
fcis-6908	7	26	video	video	NOUN
fcis-6908	7	27	is	be	AUX
fcis-6908	7	28	the	the	DET
fcis-6908	7	29	foundation	foundation	NOUN
fcis-6908	7	30	and	and	CCONJ
fcis-6908	7	31	important	important	ADJ
fcis-6908	7	32	part	part	NOUN
fcis-6908	7	33	of	of	ADP
fcis-6908	7	34	video	video	NOUN
fcis-6908	7	35	analysis	analysis	NOUN
fcis-6908	7	36	,	,	PUNCT
fcis-6908	7	37	and	and	CCONJ
fcis-6908	7	38	is	be	AUX
fcis-6908	7	39	also	also	ADV
fcis-6908	7	40	one	one	NUM
fcis-6908	7	41	of	of	ADP
fcis-6908	7	42	the	the	DET
fcis-6908	7	43	hot	hot	ADJ
fcis-6908	7	44	research	research	NOUN
fcis-6908	7	45	directions	direction	NOUN
fcis-6908	7	46	in	in	ADP
fcis-6908	7	47	the	the	DET
fcis-6908	7	48	field	field	NOUN
fcis-6908	7	49	of	of	ADP
fcis-6908	7	50	image	image	NOUN
fcis-6908	7	51	processing	processing	NOUN
fcis-6908	7	52	,	,	PUNCT
fcis-6908	7	53	pattern	pattern	NOUN
fcis-6908	7	54	recognition	recognition	NOUN
fcis-6908	7	55	and	and	CCONJ
fcis-6908	7	56	computer	computer	NOUN
fcis-6908	7	57	vision	vision	NOUN
fcis-6908	7	58	.	.	PUNCT
fcis-6908	8	1	the	the	DET
fcis-6908	8	2	human	human	ADJ
fcis-6908	8	3	action	action	NOUN
fcis-6908	8	4	detection	detection	NOUN
fcis-6908	8	5	is	be	AUX
fcis-6908	8	6	a	a	DET
fcis-6908	8	7	crucial	crucial	ADJ
fcis-6908	8	8	video	video	NOUN
fcis-6908	8	9	understanding	understanding	NOUN
fcis-6908	8	10	method	method	NOUN
fcis-6908	8	11	,	,	PUNCT
fcis-6908	8	12	which	which	PRON
fcis-6908	8	13	aims	aim	VERB
fcis-6908	8	14	to	to	PART
fcis-6908	8	15	use	use	VERB
fcis-6908	8	16	machine	machine	NOUN
fcis-6908	8	17	learning	learning	NOUN
fcis-6908	8	18	and	and	CCONJ
fcis-6908	8	19	image	image	NOUN
fcis-6908	8	20	processing	processing	NOUN
fcis-6908	8	21	techniques	technique	NOUN
fcis-6908	8	22	to	to	PART
fcis-6908	8	23	extract	extract	VERB
fcis-6908	8	24	meaningful	meaningful	ADJ
fcis-6908	8	25	information	information	NOUN
fcis-6908	8	26	from	from	ADP
fcis-6908	8	27	the	the	DET
fcis-6908	8	28	collected	collect	VERB
fcis-6908	8	29	video	video	NOUN
fcis-6908	8	30	sequences	sequence	NOUN
fcis-6908	8	31	(	(	PUNCT
fcis-6908	8	32	surveillance	surveillance	NOUN
fcis-6908	8	33	video	video	NOUN
fcis-6908	8	34	,	,	PUNCT
fcis-6908	8	35	etc	etc	X
fcis-6908	8	36	.	.	X
fcis-6908	8	37	)	)	PUNCT
fcis-6908	8	38	,	,	PUNCT
fcis-6908	8	39	and	and	CCONJ
fcis-6908	8	40	automatically	automatically	ADV
fcis-6908	8	41	locate	locate	VERB
fcis-6908	8	42	and	and	CCONJ
fcis-6908	8	43	identify	identify	VERB
fcis-6908	8	44	specific	specific	ADJ
fcis-6908	8	45	action	action	NOUN
fcis-6908	8	46	contained	contain	VERB
fcis-6908	8	47	in	in	ADP
fcis-6908	8	48	a	a	DET
fcis-6908	8	49	video	video	NOUN
fcis-6908	8	50	,	,	PUNCT
fcis-6908	8	51	so	so	SCONJ
fcis-6908	8	52	that	that	SCONJ
fcis-6908	8	53	the	the	DET
fcis-6908	8	54	computer	computer	NOUN
fcis-6908	8	55	can	can	AUX
fcis-6908	8	56	have	have	VERB
fcis-6908	8	57	an	an	DET
fcis-6908	8	58	understanding	understanding	NOUN
fcis-6908	8	59	of	of	ADP
fcis-6908	8	60	human	human	ADJ
fcis-6908	8	61	action	action	NOUN
fcis-6908	8	62	and	and	CCONJ
fcis-6908	8	63	consequently	consequently	ADV
fcis-6908	8	64	make	make	VERB
fcis-6908	8	65	analysis	analysis	NOUN
fcis-6908	8	66	of	of	ADP
fcis-6908	8	67	the	the	DET
fcis-6908	8	68	video	video	NOUN
fcis-6908	8	69	.	.	PUNCT
fcis-6908	9	1	the	the	DET
fcis-6908	9	2	rapid	rapid	ADJ
fcis-6908	9	3	development	development	NOUN
fcis-6908	9	4	of	of	ADP
fcis-6908	9	5	action	action	NOUN
fcis-6908	9	6	recognition	recognition	NOUN
fcis-6908	9	7	has	have	AUX
fcis-6908	9	8	spurred	spur	VERB
fcis-6908	9	9	the	the	DET
fcis-6908	9	10	emergence	emergence	NOUN
fcis-6908	9	11	of	of	ADP
fcis-6908	9	12	action	action	NOUN
fcis-6908	9	13	detection	detection	NOUN
fcis-6908	9	14	technology	technology	NOUN
fcis-6908	9	15	.	.	PUNCT
fcis-6908	10	1	the	the	DET
fcis-6908	10	2	action	action	NOUN
fcis-6908	10	3	detection	detection	NOUN
fcis-6908	10	4	includes	include	VERB
fcis-6908	10	5	classification	classification	NOUN
fcis-6908	10	6	of	of	ADP
fcis-6908	10	7	action	action	NOUN
fcis-6908	10	8	recognition	recognition	NOUN
fcis-6908	10	9	,	,	PUNCT
fcis-6908	10	10	localization	localization	NOUN
fcis-6908	10	11	,	,	PUNCT
fcis-6908	10	12	identification	identification	NOUN
fcis-6908	10	13	of	of	ADP
fcis-6908	10	14	the	the	DET
fcis-6908	10	15	categories	category	NOUN
fcis-6908	10	16	of	of	ADP
fcis-6908	10	17	action	action	NOUN
fcis-6908	10	18	contained	contain	VERB
fcis-6908	10	19	in	in	ADP
fcis-6908	10	20	a	a	DET
fcis-6908	10	21	video	video	NOUN
fcis-6908	10	22	,	,	PUNCT
fcis-6908	10	23	as	as	ADV
fcis-6908	10	24	well	well	ADV
fcis-6908	10	25	as	as	ADP
fcis-6908	10	26	the	the	DET
fcis-6908	10	27	determination	determination	NOUN
fcis-6908	10	28	of	of	ADP
fcis-6908	10	29	temporal	temporal	ADJ
fcis-6908	10	30	intervals	interval	NOUN
fcis-6908	10	31	(	(	PUNCT
fcis-6908	10	32	starting	start	VERB
fcis-6908	10	33	time	time	NOUN
fcis-6908	10	34	and	and	CCONJ
fcis-6908	10	35	ending	end	VERB
fcis-6908	10	36	time	time	NOUN
fcis-6908	10	37	)	)	PUNCT
fcis-6908	10	38	when	when	SCONJ
fcis-6908	10	39	the	the	DET
fcis-6908	10	40	action	action	NOUN
fcis-6908	10	41	occurs	occur	VERB
fcis-6908	10	42	,	,	PUNCT
fcis-6908	10	43	which	which	PRON
fcis-6908	10	44	makes	make	VERB
fcis-6908	10	45	human	human	ADJ
fcis-6908	10	46	action	action	NOUN
fcis-6908	10	47	detection	detection	NOUN
fcis-6908	10	48	more	more	ADV
fcis-6908	10	49	in	in	ADP
fcis-6908	10	50	line	line	NOUN
fcis-6908	10	51	with	with	ADP
fcis-6908	10	52	the	the	DET
fcis-6908	10	53	needs	need	NOUN
fcis-6908	10	54	of	of	ADP
fcis-6908	10	55	practical	practical	ADJ
fcis-6908	10	56	application	application	NOUN
fcis-6908	10	57	.	.	PUNCT
fcis-6908	11	1	the	the	DET
fcis-6908	11	2	accuracy	accuracy	NOUN
fcis-6908	11	3	of	of	ADP
fcis-6908	11	4	video	video	NOUN
fcis-6908	11	5	action	action	NOUN
fcis-6908	11	6	detection	detection	NOUN
fcis-6908	11	7	has	have	AUX
fcis-6908	11	8	been	be	AUX
fcis-6908	11	9	difficult	difficult	ADJ
fcis-6908	11	10	to	to	PART
fcis-6908	11	11	improve	improve	VERB
fcis-6908	11	12	due	due	ADP
fcis-6908	11	13	to	to	ADP
fcis-6908	11	14	various	various	ADJ
fcis-6908	11	15	and	and	CCONJ
fcis-6908	11	16	constantly	constantly	ADV
fcis-6908	11	17	changing	change	VERB
fcis-6908	11	18	video	video	NOUN
fcis-6908	11	19	backgrounds	background	NOUN
fcis-6908	11	20	,	,	PUNCT
fcis-6908	11	21	intrinsically	intrinsically	ADV
fcis-6908	11	22	complicated	complicated	ADJ
fcis-6908	11	23	and	and	CCONJ
fcis-6908	11	24	changeable	changeable	ADJ
fcis-6908	11	25	human	human	ADJ
fcis-6908	11	26	action	action	NOUN
fcis-6908	11	27	and	and	CCONJ
fcis-6908	11	28	other	other	ADJ
fcis-6908	11	29	factors	factor	NOUN
fcis-6908	11	30	.	.	PUNCT
fcis-6908	12	1	in	in	ADP
fcis-6908	12	2	order	order	NOUN
fcis-6908	12	3	to	to	PART
fcis-6908	12	4	solve	solve	VERB
fcis-6908	12	5	the	the	DET
fcis-6908	12	6	above	above	ADV
fcis-6908	12	7	-	-	PUNCT
fcis-6908	12	8	mentioned	mention	VERB
fcis-6908	12	9	problems	problem	NOUN
fcis-6908	12	10	,	,	PUNCT
fcis-6908	12	11	researchers	researcher	NOUN
fcis-6908	12	12	have	have	AUX
fcis-6908	12	13	put	put	VERB
fcis-6908	12	14	forward	forward	ADV
fcis-6908	12	15	a	a	DET
fcis-6908	12	16	variety	variety	NOUN
fcis-6908	12	17	of	of	ADP
fcis-6908	12	18	solutions	solution	NOUN
fcis-6908	12	19	,	,	PUNCT
fcis-6908	12	20	of	of	ADP
fcis-6908	12	21	which	which	PRON
fcis-6908	12	22	deep	deep	ADJ
fcis-6908	12	23	learning	learning	NOUN
fcis-6908	12	24	is	be	AUX
fcis-6908	12	25	the	the	DET
fcis-6908	12	26	most	most	ADV
fcis-6908	12	27	effective	effective	ADJ
fcis-6908	12	28	.	.	PUNCT
fcis-6908	13	1	the	the	DET
fcis-6908	13	2	concept	concept	NOUN
fcis-6908	13	3	of	of	ADP
fcis-6908	13	4	deep	deep	ADJ
fcis-6908	13	5	learning	learning	NOUN
fcis-6908	13	6	was	be	AUX
fcis-6908	13	7	proposed	propose	VERB
fcis-6908	13	8	by	by	ADP
fcis-6908	13	9	hinton	hinton	PROPN
fcis-6908	13	10	et	et	PROPN
fcis-6908	13	11	al	al	PROPN
fcis-6908	13	12	.	.	PUNCT
fcis-6908	14	1	[	[	X
fcis-6908	14	2	1	1	X
fcis-6908	14	3	]	]	PUNCT
fcis-6908	14	4	in	in	ADP
fcis-6908	14	5	2006	2006	NUM
fcis-6908	14	6	,	,	PUNCT
fcis-6908	14	7	and	and	CCONJ
fcis-6908	14	8	has	have	AUX
fcis-6908	14	9	been	be	AUX
fcis-6908	14	10	remarkably	remarkably	ADV
fcis-6908	14	11	used	use	VERB
fcis-6908	14	12	in	in	ADP
fcis-6908	14	13	image	image	NOUN
fcis-6908	14	14	processing	processing	NOUN
fcis-6908	14	15	,	,	PUNCT
fcis-6908	14	16	speech	speech	NOUN
fcis-6908	14	17	recognition	recognition	NOUN
fcis-6908	14	18	,	,	PUNCT
fcis-6908	14	19	machine	machine	NOUN
fcis-6908	14	20	translation	translation	NOUN
fcis-6908	14	21	,	,	PUNCT
fcis-6908	14	22	natural	natural	ADJ
fcis-6908	14	23	language	language	NOUN
fcis-6908	14	24	processing	processing	NOUN
fcis-6908	14	25	and	and	CCONJ
fcis-6908	14	26	other	other	ADJ
fcis-6908	14	27	fields	field	NOUN
fcis-6908	14	28	.	.	PUNCT
fcis-6908	14	29	inspired	inspire	VERB
fcis-6908	14	30	by	by	ADP
fcis-6908	14	31	the	the	DET
fcis-6908	14	32	huge	huge	ADJ
fcis-6908	14	33	success	success	NOUN
fcis-6908	14	34	of	of	ADP
fcis-6908	14	35	deep	deep	ADJ
fcis-6908	14	36	learning	learning	NOUN
fcis-6908	14	37	in	in	ADP
fcis-6908	14	38	image	image	NOUN
fcis-6908	14	39	and	and	CCONJ
fcis-6908	14	40	natural	natural	ADJ
fcis-6908	14	41	language	language	NOUN
fcis-6908	14	42	processing	processing	NOUN
fcis-6908	14	43	,	,	PUNCT
fcis-6908	14	44	some	some	DET
fcis-6908	14	45	scholars	scholar	NOUN
fcis-6908	14	46	have	have	AUX
fcis-6908	14	47	attempted	attempt	VERB
fcis-6908	14	48	to	to	PART
fcis-6908	14	49	apply	apply	VERB
fcis-6908	14	50	it	it	PRON
fcis-6908	14	51	to	to	ADP
fcis-6908	14	52	video	video	NOUN
fcis-6908	14	53	understanding	understanding	NOUN
fcis-6908	14	54	tasks	task	NOUN
fcis-6908	14	55	and	and	CCONJ
fcis-6908	14	56	others	other	NOUN
fcis-6908	14	57	.	.	PUNCT
fcis-6908	15	1	various	various	ADJ
fcis-6908	15	2	indicators	indicator	NOUN
fcis-6908	15	3	have	have	AUX
fcis-6908	15	4	been	be	AUX
fcis-6908	15	5	significantly	significantly	ADV
fcis-6908	15	6	improved	improve	VERB
fcis-6908	15	7	,	,	PUNCT
fcis-6908	15	8	however	however	ADV
fcis-6908	15	9	,	,	PUNCT
fcis-6908	15	10	greater	great	ADJ
fcis-6908	15	11	improvement	improvement	NOUN
fcis-6908	15	12	can	can	AUX
fcis-6908	15	13	not	not	PART
fcis-6908	15	14	be	be	AUX
fcis-6908	15	15	made	make	VERB
fcis-6908	15	16	by	by	ADP
fcis-6908	15	17	simply	simply	ADV
fcis-6908	15	18	applying	apply	VERB
fcis-6908	15	19	image	image	NOUN
fcis-6908	15	20	processing	processing	NOUN
fcis-6908	15	21	to	to	ADP
fcis-6908	15	22	the	the	DET
fcis-6908	15	23	video	video	NOUN
fcis-6908	15	24	field	field	NOUN
fcis-6908	15	25	,	,	PUNCT
fcis-6908	15	26	since	since	SCONJ
fcis-6908	15	27	the	the	DET
fcis-6908	15	28	video	video	NOUN
fcis-6908	15	29	not	not	PART
fcis-6908	15	30	only	only	ADV
fcis-6908	15	31	includes	include	VERB
fcis-6908	15	32	spatial	spatial	ADJ
fcis-6908	15	33	information	information	NOUN
fcis-6908	15	34	,	,	PUNCT
fcis-6908	15	35	but	but	CCONJ
fcis-6908	15	36	also	also	ADV
fcis-6908	15	37	has	have	VERB
fcis-6908	15	38	temporal	temporal	ADJ
fcis-6908	15	39	correlation	correlation	NOUN
fcis-6908	15	40	between	between	ADP
fcis-6908	15	41	frames	frame	NOUN
fcis-6908	15	42	.	.	PUNCT
fcis-6908	16	1	therefore	therefore	ADV
fcis-6908	16	2	,	,	PUNCT
fcis-6908	16	3	the	the	DET
fcis-6908	16	4	focus	focus	NOUN
fcis-6908	16	5	of	of	ADP
fcis-6908	16	6	current	current	ADJ
fcis-6908	16	7	research	research	NOUN
fcis-6908	16	8	has	have	AUX
fcis-6908	16	9	been	be	AUX
fcis-6908	16	10	on	on	ADP
fcis-6908	16	11	how	how	SCONJ
fcis-6908	16	12	to	to	PART
fcis-6908	16	13	accurately	accurately	ADV
fcis-6908	16	14	express	express	VERB
fcis-6908	16	15	and	and	CCONJ
fcis-6908	16	16	integrate	integrate	VERB
fcis-6908	16	17	the	the	DET
fcis-6908	16	18	temporal	temporal	ADJ
fcis-6908	16	19	and	and	CCONJ
fcis-6908	16	20	spatial	spatial	ADJ
fcis-6908	16	21	information	information	NOUN
fcis-6908	16	22	in	in	ADP
fcis-6908	16	23	a	a	DET
fcis-6908	16	24	video	video	NOUN
fcis-6908	16	25	.	.	PUNCT
fcis-6908	17	1	figure	figure	NOUN
fcis-6908	17	2	1	1	NUM
fcis-6908	17	3	.	.	PUNCT
fcis-6908	17	4	schematic	schematic	ADJ
fcis-6908	17	5	diagram	diagram	NOUN
fcis-6908	17	6	of	of	ADP
fcis-6908	17	7	traditional	traditional	ADJ
fcis-6908	17	8	manual	manual	ADJ
fcis-6908	17	9	surveillance	surveillance	NOUN
fcis-6908	17	10	video	video	NOUN
fcis-6908	17	11	system	system	NOUN
fcis-6908	17	12	2	2	NUM
fcis-6908	17	13	.	.	PUNCT
fcis-6908	18	1	the	the	DET
fcis-6908	18	2	general	general	ADJ
fcis-6908	18	3	framework	framework	NOUN
fcis-6908	18	4	of	of	ADP
fcis-6908	18	5	video	video	NOUN
fcis-6908	18	6	behavior	behavior	NOUN
fcis-6908	18	7	detection	detection	NOUN
fcis-6908	18	8	the	the	DET
fcis-6908	18	9	general	general	ADJ
fcis-6908	18	10	framework	framework	NOUN
fcis-6908	18	11	of	of	ADP
fcis-6908	18	12	video	video	NOUN
fcis-6908	18	13	action	action	NOUN
fcis-6908	18	14	detection	detection	NOUN
fcis-6908	18	15	is	be	AUX
fcis-6908	18	16	shown	show	VERB
fcis-6908	18	17	in	in	ADP
fcis-6908	18	18	figure	figure	NOUN
fcis-6908	18	19	2	2	NUM
fcis-6908	18	20	,	,	PUNCT
fcis-6908	18	21	which	which	PRON
fcis-6908	18	22	can	can	AUX
fcis-6908	18	23	be	be	AUX
fcis-6908	18	24	divided	divide	VERB
fcis-6908	18	25	into	into	ADP
fcis-6908	18	26	four	four	NUM
fcis-6908	18	27	stages	stage	NOUN
fcis-6908	18	28	,	,	PUNCT
fcis-6908	18	29	namely	namely	ADV
fcis-6908	18	30	,	,	PUNCT
fcis-6908	18	31	video	video	NOUN
fcis-6908	18	32	pre	pre	ADJ
fcis-6908	18	33	-	-	ADJ
fcis-6908	18	34	processing	processing	ADJ
fcis-6908	18	35	,	,	PUNCT
fcis-6908	18	36	feature	feature	NOUN
fcis-6908	18	37	extraction	extraction	NOUN
fcis-6908	18	38	,	,	PUNCT
fcis-6908	18	39	feature	feature	NOUN
fcis-6908	18	40	learning	learning	NOUN
fcis-6908	18	41	and	and	CCONJ
fcis-6908	18	42	anomaly	anomaly	NOUN
fcis-6908	18	43	judgment	judgment	NOUN
fcis-6908	18	44	.	.	PUNCT
fcis-6908	19	1	video	video	NOUN
fcis-6908	19	2	pre	pre	ADJ
fcis-6908	19	3	-	-	ADJ
fcis-6908	19	4	processing	processing	NOUN
fcis-6908	19	5	is	be	AUX
fcis-6908	19	6	usually	usually	ADV
fcis-6908	19	7	referred	refer	VERB
fcis-6908	19	8	as	as	ADP
fcis-6908	19	9	to	to	ADP
fcis-6908	19	10	the	the	DET
fcis-6908	19	11	morphological	morphological	ADJ
fcis-6908	19	12	processing	processing	NOUN
fcis-6908	19	13	of	of	ADP
fcis-6908	19	14	video	video	NOUN
fcis-6908	19	15	frames	frame	NOUN
fcis-6908	19	16	,	,	PUNCT
fcis-6908	19	17	such	such	ADJ
fcis-6908	19	18	as	as	ADP
fcis-6908	19	19	image	image	NOUN
fcis-6908	19	20	enhancement	enhancement	NOUN
fcis-6908	19	21	,	,	PUNCT
fcis-6908	19	22	image	image	NOUN
fcis-6908	19	23	noise	noise	NOUN
fcis-6908	19	24	reduction	reduction	NOUN
fcis-6908	19	25	,	,	PUNCT
fcis-6908	19	26	etc	etc	X
fcis-6908	19	27	.	.	X
fcis-6908	19	28	feature	feature	NOUN
fcis-6908	19	29	extraction	extraction	NOUN
fcis-6908	19	30	is	be	AUX
fcis-6908	19	31	referred	refer	VERB
fcis-6908	19	32	as	as	ADP
fcis-6908	19	33	to	to	ADP
fcis-6908	19	34	the	the	DET
fcis-6908	19	35	extraction	extraction	NOUN
fcis-6908	19	36	of	of	ADP
fcis-6908	19	37	key	key	ADJ
fcis-6908	19	38	appearance	appearance	NOUN
fcis-6908	19	39	or	or	CCONJ
fcis-6908	19	40	motion	motion	NOUN
fcis-6908	19	41	features	feature	NOUN
fcis-6908	19	42	of	of	ADP
fcis-6908	19	43	the	the	DET
fcis-6908	19	44	input	input	NOUN
fcis-6908	19	45	video	video	NOUN
fcis-6908	19	46	sequences	sequence	NOUN
fcis-6908	19	47	to	to	PART
fcis-6908	19	48	represent	represent	VERB
fcis-6908	19	49	a	a	DET
fcis-6908	19	50	video	video	NOUN
fcis-6908	19	51	.	.	PUNCT
fcis-6908	20	1	feature	feature	NOUN
fcis-6908	20	2	learning	learning	NOUN
fcis-6908	20	3	is	be	AUX
fcis-6908	20	4	referred	refer	VERB
fcis-6908	20	5	as	as	ADP
fcis-6908	20	6	to	to	ADP
fcis-6908	20	7	using	use	VERB
fcis-6908	20	8	extracted	extract	VERB
fcis-6908	20	9	features	feature	NOUN
fcis-6908	20	10	to	to	PART
fcis-6908	20	11	establish	establish	VERB
fcis-6908	20	12	an	an	DET
fcis-6908	20	13	action	action	NOUN
fcis-6908	20	14	model	model	NOUN
fcis-6908	20	15	of	of	ADP
fcis-6908	20	16	normal	normal	ADJ
fcis-6908	20	17	or	or	CCONJ
fcis-6908	20	18	abnormal	abnormal	ADJ
fcis-6908	20	19	event	event	NOUN
fcis-6908	20	20	patterns	pattern	NOUN
fcis-6908	20	21	and	and	CCONJ
fcis-6908	20	22	their	their	PRON
fcis-6908	20	23	changing	change	VERB
fcis-6908	20	24	rules	rule	NOUN
fcis-6908	20	25	.	.	PUNCT
fcis-6908	21	1	anomaly	anomaly	NOUN
fcis-6908	21	2	detection	detection	NOUN
fcis-6908	21	3	is	be	AUX
fcis-6908	21	4	used	use	VERB
fcis-6908	21	5	to	to	PART
fcis-6908	21	6	measure	measure	VERB
fcis-6908	21	7	the	the	DET
fcis-6908	21	8	degree	degree	NOUN
fcis-6908	21	9	of	of	ADP
fcis-6908	21	10	matching	match	VERB
fcis-6908	21	11	between	between	ADP
fcis-6908	21	12	basic	basic	ADJ
fcis-6908	21	13	events	event	NOUN
fcis-6908	21	14	in	in	ADP
fcis-6908	21	15	the	the	DET
fcis-6908	21	16	test	test	NOUN
fcis-6908	21	17	video	video	NOUN
fcis-6908	21	18	and	and	CCONJ
fcis-6908	21	19	the	the	DET
fcis-6908	21	20	established	establish	VERB
fcis-6908	21	21	action	action	NOUN
fcis-6908	21	22	model	model	NOUN
fcis-6908	21	23	,	,	PUNCT
fcis-6908	21	24	with	with	ADP
fcis-6908	21	25	the	the	DET
fcis-6908	21	26	detection	detection	NOUN
fcis-6908	21	27	results	result	NOUN
fcis-6908	21	28	returned	return	VERB
fcis-6908	21	29	in	in	ADP
fcis-6908	21	30	the	the	DET
fcis-6908	21	31	form	form	NOUN
fcis-6908	21	32	of	of	ADP
fcis-6908	21	33	anomaly	anomaly	NOUN
fcis-6908	21	34	scores	score	NOUN
fcis-6908	21	35	or	or	CCONJ
fcis-6908	21	36	classification	classification	NOUN
fcis-6908	21	37	labels	label	NOUN
fcis-6908	21	38	.	.	PUNCT
fcis-6908	22	1	figure	figure	NOUN
fcis-6908	22	2	2	2	NUM
fcis-6908	22	3	.	.	PUNCT
fcis-6908	22	4	general	general	ADJ
fcis-6908	22	5	framework	framework	NOUN
fcis-6908	22	6	of	of	ADP
fcis-6908	22	7	video	video	NOUN
fcis-6908	22	8	action	action	NOUN
fcis-6908	22	9	detection	detection	NOUN
fcis-6908	22	10	the	the	DET
fcis-6908	22	11	earliest	early	ADJ
fcis-6908	22	12	research	research	NOUN
fcis-6908	22	13	on	on	ADP
fcis-6908	22	14	human	human	ADJ
fcis-6908	22	15	action	action	NOUN
fcis-6908	22	16	can	can	AUX
fcis-6908	22	17	be	be	AUX
fcis-6908	22	18	traced	trace	VERB
fcis-6908	22	19	back	back	ADV
fcis-6908	22	20	to	to	ADP
fcis-6908	22	21	1975	1975	NUM
fcis-6908	22	22	,	,	PUNCT
fcis-6908	22	23	when	when	SCONJ
fcis-6908	22	24	johansson	johansson	PROPN
fcis-6908	22	25	et	et	PROPN
fcis-6908	22	26	al	al	PROPN
fcis-6908	22	27	.	.	PROPN
fcis-6908	22	28	proposed	propose	VERB
fcis-6908	22	29	that	that	SCONJ
fcis-6908	22	30	human	human	ADJ
fcis-6908	22	31	action	action	NOUN
fcis-6908	22	32	could	could	AUX
fcis-6908	22	33	be	be	AUX
fcis-6908	22	34	described	describe	VERB
fcis-6908	22	35	by	by	ADP
fcis-6908	22	36	12	12	NUM
fcis-6908	22	37	points	point	NOUN
fcis-6908	23	1	[	[	X
fcis-6908	23	2	2	2	NUM
fcis-6908	23	3	]	]	PUNCT
fcis-6908	23	4	,	,	PUNCT
fcis-6908	23	5	laying	lay	VERB
fcis-6908	23	6	a	a	DET
fcis-6908	23	7	foundation	foundation	NOUN
fcis-6908	23	8	for	for	ADP
fcis-6908	23	9	the	the	DET
fcis-6908	23	10	development	development	NOUN
fcis-6908	23	11	of	of	ADP
fcis-6908	23	12	human	human	ADJ
fcis-6908	23	13	action	action	NOUN
fcis-6908	23	14	detection	detection	NOUN
fcis-6908	23	15	.	.	PUNCT
fcis-6908	24	1	recently	recently	ADV
fcis-6908	24	2	,	,	PUNCT
fcis-6908	24	3	with	with	SCONJ
fcis-6908	24	4	the	the	DET
fcis-6908	24	5	rapid	rapid	ADJ
fcis-6908	24	6	development	development	NOUN
fcis-6908	24	7	of	of	ADP
fcis-6908	24	8	deep	deep	ADJ
fcis-6908	24	9	learning	learning	NOUN
fcis-6908	24	10	and	and	CCONJ
fcis-6908	24	11	the	the	DET
fcis-6908	24	12	enhancement	enhancement	NOUN
fcis-6908	24	13	6	6	NUM
fcis-6908	24	14	of	of	ADP
fcis-6908	24	15	computing	compute	VERB
fcis-6908	24	16	power	power	NOUN
fcis-6908	24	17	,	,	PUNCT
fcis-6908	24	18	video	video	NOUN
fcis-6908	24	19	processing	processing	NOUN
fcis-6908	24	20	capabilities	capability	NOUN
fcis-6908	24	21	have	have	AUX
fcis-6908	24	22	been	be	AUX
fcis-6908	24	23	remarkably	remarkably	ADV
fcis-6908	24	24	improved	improve	VERB
fcis-6908	24	25	,	,	PUNCT
fcis-6908	24	26	significantly	significantly	ADV
fcis-6908	24	27	promoting	promote	VERB
fcis-6908	24	28	the	the	DET
fcis-6908	24	29	development	development	NOUN
fcis-6908	24	30	of	of	ADP
fcis-6908	24	31	action	action	NOUN
fcis-6908	24	32	detection	detection	NOUN
fcis-6908	24	33	and	and	CCONJ
fcis-6908	24	34	contributing	contribute	VERB
fcis-6908	24	35	to	to	ADP
fcis-6908	24	36	many	many	ADJ
fcis-6908	24	37	important	important	ADJ
fcis-6908	24	38	algorithms	algorithm	NOUN
fcis-6908	24	39	and	and	CCONJ
fcis-6908	24	40	ideas	idea	NOUN
fcis-6908	24	41	.	.	PUNCT
fcis-6908	25	1	currently	currently	ADV
fcis-6908	25	2	,	,	PUNCT
fcis-6908	25	3	the	the	DET
fcis-6908	25	4	first	first	ADJ
fcis-6908	25	5	step	step	NOUN
fcis-6908	25	6	in	in	ADP
fcis-6908	25	7	the	the	DET
fcis-6908	25	8	general	general	ADJ
fcis-6908	25	9	process	process	NOUN
fcis-6908	25	10	of	of	ADP
fcis-6908	25	11	action	action	NOUN
fcis-6908	25	12	detection	detection	NOUN
fcis-6908	25	13	algorithms	algorithm	NOUN
fcis-6908	25	14	based	base	VERB
fcis-6908	25	15	on	on	ADP
fcis-6908	25	16	deep	deep	ADJ
fcis-6908	25	17	learning	learning	NOUN
fcis-6908	25	18	is	be	AUX
fcis-6908	25	19	to	to	PART
fcis-6908	25	20	extract	extract	VERB
fcis-6908	25	21	video	video	NOUN
fcis-6908	25	22	features	feature	NOUN
fcis-6908	25	23	using	use	VERB
fcis-6908	25	24	some	some	DET
fcis-6908	25	25	modelling	modelling	NOUN
fcis-6908	25	26	for	for	ADP
fcis-6908	25	27	action	action	NOUN
fcis-6908	25	28	recognition	recognition	NOUN
fcis-6908	25	29	,	,	PUNCT
fcis-6908	25	30	after	after	ADP
fcis-6908	25	31	which	which	PRON
fcis-6908	25	32	the	the	DET
fcis-6908	25	33	extracted	extract	VERB
fcis-6908	25	34	features	feature	NOUN
fcis-6908	25	35	remain	remain	VERB
fcis-6908	25	36	fixed	fix	VERB
fcis-6908	25	37	.	.	PUNCT
fcis-6908	26	1	on	on	ADP
fcis-6908	26	2	this	this	DET
fcis-6908	26	3	basis	basis	NOUN
fcis-6908	26	4	,	,	PUNCT
fcis-6908	26	5	recognition	recognition	NOUN
fcis-6908	26	6	and	and	CCONJ
fcis-6908	26	7	localization	localization	NOUN
fcis-6908	26	8	are	be	AUX
fcis-6908	26	9	subsequently	subsequently	ADV
fcis-6908	26	10	carried	carry	VERB
fcis-6908	26	11	out	out	ADP
fcis-6908	26	12	.	.	PUNCT
fcis-6908	27	1	therefore	therefore	ADV
fcis-6908	27	2	,	,	PUNCT
fcis-6908	27	3	the	the	DET
fcis-6908	27	4	following	following	NOUN
fcis-6908	27	5	will	will	AUX
fcis-6908	27	6	make	make	VERB
fcis-6908	27	7	an	an	DET
fcis-6908	27	8	introduction	introduction	NOUN
fcis-6908	27	9	to	to	ADP
fcis-6908	27	10	relevant	relevant	ADJ
fcis-6908	27	11	research	research	NOUN
fcis-6908	27	12	progress	progress	NOUN
fcis-6908	27	13	of	of	ADP
fcis-6908	27	14	action	action	NOUN
fcis-6908	27	15	recognition	recognition	NOUN
fcis-6908	27	16	and	and	CCONJ
fcis-6908	27	17	action	action	NOUN
fcis-6908	27	18	detection	detection	NOUN
fcis-6908	27	19	successively	successively	ADV
fcis-6908	27	20	.	.	PUNCT
fcis-6908	28	1	prior	prior	ADV
fcis-6908	28	2	to	to	ADP
fcis-6908	28	3	2015	2015	NUM
fcis-6908	28	4	,	,	PUNCT
fcis-6908	28	5	the	the	DET
fcis-6908	28	6	majority	majority	NOUN
fcis-6908	28	7	of	of	ADP
fcis-6908	28	8	frameworks	framework	NOUN
fcis-6908	28	9	of	of	ADP
fcis-6908	28	10	action	action	NOUN
fcis-6908	28	11	recognition	recognition	NOUN
fcis-6908	28	12	and	and	CCONJ
fcis-6908	28	13	detection	detection	NOUN
fcis-6908	28	14	followed	follow	VERB
fcis-6908	28	15	a	a	DET
fcis-6908	28	16	fixed	fix	VERB
fcis-6908	28	17	process	process	NOUN
fcis-6908	28	18	,	,	PUNCT
fcis-6908	28	19	that	that	ADV
fcis-6908	28	20	is	is	ADV
fcis-6908	28	21	,	,	PUNCT
fcis-6908	28	22	the	the	DET
fcis-6908	28	23	spatial	spatial	ADJ
fcis-6908	28	24	and	and	CCONJ
fcis-6908	28	25	motion	motion	NOUN
fcis-6908	28	26	features	feature	NOUN
fcis-6908	28	27	of	of	ADP
fcis-6908	28	28	videos	video	NOUN
fcis-6908	28	29	are	be	AUX
fcis-6908	28	30	extracted	extract	VERB
fcis-6908	28	31	using	use	VERB
fcis-6908	28	32	manual	manual	ADJ
fcis-6908	28	33	methods	method	NOUN
fcis-6908	28	34	,	,	PUNCT
fcis-6908	28	35	and	and	CCONJ
fcis-6908	28	36	the	the	DET
fcis-6908	28	37	action	action	NOUN
fcis-6908	28	38	is	be	AUX
fcis-6908	28	39	subsequently	subsequently	ADV
fcis-6908	28	40	detected	detect	VERB
fcis-6908	28	41	by	by	ADP
fcis-6908	28	42	independently	independently	ADV
fcis-6908	28	43	using	use	VERB
fcis-6908	28	44	classifiers	classifier	NOUN
fcis-6908	28	45	such	such	ADJ
fcis-6908	28	46	as	as	ADP
fcis-6908	28	47	the	the	DET
fcis-6908	28	48	support	support	NOUN
fcis-6908	28	49	vector	vector	NOUN
fcis-6908	28	50	machine	machine	NOUN
fcis-6908	28	51	(	(	PUNCT
fcis-6908	28	52	svm	svm	PROPN
fcis-6908	28	53	)	)	PUNCT
fcis-6908	29	1	[	[	X
fcis-6908	29	2	3	3	NUM
fcis-6908	29	3	]	]	PUNCT
fcis-6908	29	4	.	.	PUNCT
fcis-6908	30	1	of	of	ADP
fcis-6908	30	2	which	which	PRON
fcis-6908	30	3	,	,	PUNCT
fcis-6908	30	4	human	human	ADJ
fcis-6908	30	5	features	feature	NOUN
fcis-6908	30	6	are	be	AUX
fcis-6908	30	7	generally	generally	ADV
fcis-6908	30	8	comprised	comprise	VERB
fcis-6908	30	9	of	of	ADP
fcis-6908	30	10	global	global	ADJ
fcis-6908	30	11	features	feature	NOUN
fcis-6908	30	12	and	and	CCONJ
fcis-6908	30	13	local	local	ADJ
fcis-6908	30	14	features	feature	NOUN
fcis-6908	30	15	.	.	PUNCT
fcis-6908	31	1	global	global	ADJ
fcis-6908	31	2	features	feature	NOUN
fcis-6908	31	3	are	be	AUX
fcis-6908	31	4	used	use	VERB
fcis-6908	31	5	to	to	PART
fcis-6908	31	6	extract	extract	VERB
fcis-6908	31	7	features	feature	NOUN
fcis-6908	31	8	by	by	ADP
fcis-6908	31	9	regarding	regard	VERB
fcis-6908	31	10	the	the	DET
fcis-6908	31	11	whole	whole	ADJ
fcis-6908	31	12	human	human	ADJ
fcis-6908	31	13	action	action	NOUN
fcis-6908	31	14	as	as	SCONJ
fcis-6908	31	15	the	the	DET
fcis-6908	31	16	description	description	NOUN
fcis-6908	31	17	object	object	VERB
fcis-6908	31	18	,	,	PUNCT
fcis-6908	31	19	for	for	ADP
fcis-6908	31	20	example	example	NOUN
fcis-6908	31	21	,	,	PUNCT
fcis-6908	31	22	the	the	DET
fcis-6908	31	23	acceleration	acceleration	NOUN
fcis-6908	31	24	vector	vector	NOUN
fcis-6908	31	25	and	and	CCONJ
fcis-6908	31	26	motion	motion	NOUN
fcis-6908	31	27	trajectory	trajectory	NOUN
fcis-6908	31	28	information	information	NOUN
fcis-6908	31	29	were	be	AUX
fcis-6908	31	30	used	use	VERB
fcis-6908	31	31	in	in	ADP
fcis-6908	31	32	literature	literature	NOUN
fcis-6908	31	33	[	[	X
fcis-6908	31	34	4	4	X
fcis-6908	31	35	]	]	PUNCT
fcis-6908	31	36	to	to	PART
fcis-6908	31	37	make	make	VERB
fcis-6908	31	38	a	a	DET
fcis-6908	31	39	judgement	judgement	NOUN
fcis-6908	31	40	whether	whether	SCONJ
fcis-6908	31	41	any	any	DET
fcis-6908	31	42	action	action	NOUN
fcis-6908	31	43	was	be	AUX
fcis-6908	31	44	generated	generate	VERB
fcis-6908	31	45	in	in	ADP
fcis-6908	31	46	a	a	DET
fcis-6908	31	47	video	video	NOUN
fcis-6908	31	48	.	.	PUNCT
fcis-6908	32	1	however	however	ADV
fcis-6908	32	2	,	,	PUNCT
fcis-6908	32	3	global	global	ADJ
fcis-6908	32	4	features	feature	NOUN
fcis-6908	32	5	are	be	AUX
fcis-6908	32	6	sensitive	sensitive	ADJ
fcis-6908	32	7	to	to	ADP
fcis-6908	32	8	changes	change	NOUN
fcis-6908	32	9	in	in	ADP
fcis-6908	32	10	environment	environment	NOUN
fcis-6908	32	11	background	background	NOUN
fcis-6908	32	12	,	,	PUNCT
fcis-6908	32	13	shooting	shoot	VERB
fcis-6908	32	14	angles	angle	NOUN
fcis-6908	32	15	and	and	CCONJ
fcis-6908	32	16	techniques	technique	NOUN
fcis-6908	32	17	,	,	PUNCT
fcis-6908	32	18	resulting	result	VERB
fcis-6908	32	19	in	in	ADP
fcis-6908	32	20	the	the	DET
fcis-6908	32	21	relatively	relatively	ADV
fcis-6908	32	22	low	low	ADJ
fcis-6908	32	23	detection	detection	NOUN
fcis-6908	32	24	accuracy	accuracy	NOUN
fcis-6908	32	25	rate	rate	NOUN
fcis-6908	32	26	.	.	PUNCT
fcis-6908	33	1	local	local	ADJ
fcis-6908	33	2	features	feature	NOUN
fcis-6908	33	3	are	be	AUX
fcis-6908	33	4	used	use	VERB
fcis-6908	33	5	to	to	PART
fcis-6908	33	6	describe	describe	VERB
fcis-6908	33	7	partial	partial	ADJ
fcis-6908	33	8	motion	motion	NOUN
fcis-6908	33	9	features	feature	NOUN
fcis-6908	33	10	of	of	ADP
fcis-6908	33	11	an	an	DET
fcis-6908	33	12	action	action	NOUN
fcis-6908	33	13	,	,	PUNCT
fcis-6908	33	14	and	and	CCONJ
fcis-6908	33	15	generally	generally	ADV
fcis-6908	33	16	represent	represent	VERB
fcis-6908	33	17	motion	motion	NOUN
fcis-6908	33	18	features	feature	NOUN
fcis-6908	33	19	of	of	ADP
fcis-6908	33	20	video	video	NOUN
fcis-6908	33	21	using	use	VERB
fcis-6908	33	22	local	local	ADJ
fcis-6908	33	23	feature	feature	NOUN
fcis-6908	33	24	descriptors	descriptor	NOUN
fcis-6908	33	25	.	.	PUNCT
fcis-6908	34	1	in	in	ADP
fcis-6908	34	2	this	this	DET
fcis-6908	34	3	study	study	NOUN
fcis-6908	34	4	,	,	PUNCT
fcis-6908	34	5	yang	yang	PROPN
fcis-6908	34	6	et	et	PROPN
fcis-6908	34	7	al	al	PROPN
fcis-6908	34	8	.	.	PUNCT
fcis-6908	35	1	[	[	X
fcis-6908	35	2	5	5	NUM
fcis-6908	35	3	]	]	PUNCT
fcis-6908	35	4	introduced	introduce	VERB
fcis-6908	35	5	a	a	DET
fcis-6908	35	6	multi	multi	ADJ
fcis-6908	35	7	-	-	ADJ
fcis-6908	35	8	scale	scale	ADJ
fcis-6908	35	9	feature	feature	NOUN
fcis-6908	35	10	descriptor	descriptor	NOUN
fcis-6908	35	11	based	base	VERB
fcis-6908	35	12	on	on	ADP
fcis-6908	35	13	the	the	DET
fcis-6908	35	14	feature	feature	NOUN
fcis-6908	35	15	representation	representation	NOUN
fcis-6908	35	16	method	method	NOUN
fcis-6908	35	17	of	of	ADP
fcis-6908	35	18	histograms	histogram	NOUN
fcis-6908	35	19	of	of	ADP
fcis-6908	35	20	optical	optical	ADJ
fcis-6908	35	21	flow	flow	NOUN
fcis-6908	35	22	(	(	PUNCT
fcis-6908	35	23	hof	hof	NOUN
fcis-6908	35	24	)	)	PUNCT
fcis-6908	35	25	,	,	PUNCT
fcis-6908	35	26	which	which	PRON
fcis-6908	35	27	can	can	AUX
fcis-6908	35	28	simultaneously	simultaneously	ADV
fcis-6908	35	29	obtain	obtain	VERB
fcis-6908	35	30	the	the	DET
fcis-6908	35	31	displacement	displacement	NOUN
fcis-6908	35	32	and	and	CCONJ
fcis-6908	35	33	spatial	spatial	ADJ
fcis-6908	35	34	features	feature	NOUN
fcis-6908	35	35	of	of	ADP
fcis-6908	35	36	video	video	NOUN
fcis-6908	35	37	frames	frame	NOUN
fcis-6908	35	38	.	.	PUNCT
fcis-6908	36	1	wang	wang	PROPN
fcis-6908	36	2	et	et	PROPN
fcis-6908	36	3	al	al	PROPN
fcis-6908	36	4	.	.	PROPN
fcis-6908	36	5	proposed	propose	VERB
fcis-6908	36	6	the	the	DET
fcis-6908	36	7	improved	improve	VERB
fcis-6908	36	8	dense	dense	ADJ
fcis-6908	36	9	trajectories	trajectory	NOUN
fcis-6908	36	10	(	(	PUNCT
fcis-6908	36	11	idt	idt	NOUN
fcis-6908	36	12	)	)	PUNCT
fcis-6908	36	13	,	,	PUNCT
fcis-6908	36	14	which	which	PRON
fcis-6908	36	15	carries	carry	VERB
fcis-6908	36	16	out	out	ADP
fcis-6908	36	17	intensive	intensive	ADJ
fcis-6908	36	18	sampling	sampling	NOUN
fcis-6908	36	19	and	and	CCONJ
fcis-6908	36	20	tracks	track	VERB
fcis-6908	36	21	pixel	pixel	ADJ
fcis-6908	36	22	points	point	NOUN
fcis-6908	36	23	on	on	ADP
fcis-6908	36	24	video	video	NOUN
fcis-6908	36	25	frames	frame	NOUN
fcis-6908	36	26	to	to	PART
fcis-6908	36	27	construct	construct	VERB
fcis-6908	36	28	local	local	ADJ
fcis-6908	36	29	feature	feature	NOUN
fcis-6908	36	30	descriptors	descriptor	NOUN
fcis-6908	36	31	[	[	X
fcis-6908	36	32	6][7	6][7	NUM
fcis-6908	36	33	]	]	PUNCT
fcis-6908	36	34	,	,	PUNCT
fcis-6908	36	35	and	and	CCONJ
fcis-6908	36	36	can	can	AUX
fcis-6908	36	37	estimate	estimate	VERB
fcis-6908	36	38	the	the	DET
fcis-6908	36	39	motion	motion	NOUN
fcis-6908	36	40	of	of	ADP
fcis-6908	36	41	the	the	DET
fcis-6908	36	42	camera	camera	NOUN
fcis-6908	36	43	by	by	ADP
fcis-6908	36	44	matching	match	VERB
fcis-6908	36	45	feature	feature	NOUN
fcis-6908	36	46	points	point	NOUN
fcis-6908	36	47	between	between	ADP
fcis-6908	36	48	frames	frame	NOUN
fcis-6908	36	49	.	.	PUNCT
fcis-6908	37	1	these	these	DET
fcis-6908	37	2	methods	method	NOUN
fcis-6908	37	3	have	have	AUX
fcis-6908	37	4	achieved	achieve	VERB
fcis-6908	37	5	satisfactory	satisfactory	ADJ
fcis-6908	37	6	results	result	NOUN
fcis-6908	37	7	in	in	ADP
fcis-6908	37	8	specific	specific	ADJ
fcis-6908	37	9	scenarios	scenario	NOUN
fcis-6908	37	10	,	,	PUNCT
fcis-6908	37	11	however	however	ADV
fcis-6908	37	12	,	,	PUNCT
fcis-6908	37	13	the	the	DET
fcis-6908	37	14	extraction	extraction	NOUN
fcis-6908	37	15	of	of	ADP
fcis-6908	37	16	human	human	ADJ
fcis-6908	37	17	features	feature	NOUN
fcis-6908	37	18	requires	require	VERB
fcis-6908	37	19	huge	huge	ADJ
fcis-6908	37	20	computing	computing	NOUN
fcis-6908	37	21	cost	cost	NOUN
fcis-6908	37	22	,	,	PUNCT
fcis-6908	37	23	and	and	CCONJ
fcis-6908	37	24	feature	feature	NOUN
fcis-6908	37	25	computing	computing	NOUN
fcis-6908	37	26	is	be	AUX
fcis-6908	37	27	generally	generally	ADV
fcis-6908	37	28	aimed	aim	VERB
fcis-6908	37	29	at	at	ADP
fcis-6908	37	30	a	a	DET
fcis-6908	37	31	specific	specific	ADJ
fcis-6908	37	32	video	video	NOUN
fcis-6908	37	33	type	type	NOUN
fcis-6908	37	34	.	.	PUNCT
fcis-6908	38	1	therefore	therefore	ADV
fcis-6908	38	2	,	,	PUNCT
fcis-6908	38	3	it	it	PRON
fcis-6908	38	4	is	be	AUX
fcis-6908	38	5	difficult	difficult	ADJ
fcis-6908	38	6	to	to	PART
fcis-6908	38	7	achieve	achieve	VERB
fcis-6908	38	8	its	its	PRON
fcis-6908	38	9	expansion	expansion	NOUN
fcis-6908	38	10	and	and	CCONJ
fcis-6908	38	11	deployment	deployment	NOUN
fcis-6908	38	12	,	,	PUNCT
fcis-6908	38	13	and	and	CCONJ
fcis-6908	38	14	there	there	PRON
fcis-6908	38	15	are	be	VERB
fcis-6908	38	16	still	still	ADV
fcis-6908	38	17	some	some	DET
fcis-6908	38	18	limitations	limitation	NOUN
fcis-6908	38	19	on	on	ADP
fcis-6908	38	20	video	video	NOUN
fcis-6908	38	21	processing	processing	NOUN
fcis-6908	38	22	application	application	NOUN
fcis-6908	38	23	.	.	PUNCT
fcis-6908	39	1	figure	figure	NOUN
fcis-6908	39	2	3	3	NUM
fcis-6908	39	3	.	.	PUNCT
fcis-6908	40	1	idt	idt	ADJ
fcis-6908	40	2	algorithm	algorithm	NOUN
fcis-6908	40	3	and	and	CCONJ
fcis-6908	40	4	three	three	NUM
fcis-6908	40	5	kinds	kind	NOUN
fcis-6908	40	6	of	of	ADP
fcis-6908	40	7	histograms	histogram	NOUN
fcis-6908	40	8	3	3	NUM
fcis-6908	40	9	.	.	PUNCT
fcis-6908	41	1	the	the	DET
fcis-6908	41	2	convolutional	convolutional	ADJ
fcis-6908	41	3	neural	neural	ADJ
fcis-6908	41	4	network	network	NOUN
fcis-6908	41	5	(	(	PUNCT
fcis-6908	41	6	cnn	cnn	PROPN
fcis-6908	41	7	)	)	PUNCT
fcis-6908	41	8	applied	apply	VERB
fcis-6908	41	9	to	to	ADP
fcis-6908	41	10	video	video	NOUN
fcis-6908	41	11	behavior	behavior	NOUN
fcis-6908	41	12	detection	detection	NOUN
fcis-6908	41	13	3.1	3.1	NUM
fcis-6908	41	14	.	.	PUNCT
fcis-6908	42	1	3d	3d	NUM
fcis-6908	42	2	convolutional	convolutional	ADJ
fcis-6908	42	3	networks	network	NOUN
fcis-6908	42	4	with	with	ADP
fcis-6908	42	5	the	the	DET
fcis-6908	42	6	rise	rise	NOUN
fcis-6908	42	7	of	of	ADP
fcis-6908	42	8	deep	deep	ADJ
fcis-6908	42	9	learning	learning	NOUN
fcis-6908	42	10	,	,	PUNCT
fcis-6908	42	11	some	some	DET
fcis-6908	42	12	scholars	scholar	NOUN
fcis-6908	42	13	have	have	AUX
fcis-6908	42	14	started	start	VERB
fcis-6908	42	15	to	to	PART
fcis-6908	42	16	attach	attach	VERB
fcis-6908	42	17	attention	attention	NOUN
fcis-6908	42	18	to	to	ADP
fcis-6908	42	19	how	how	SCONJ
fcis-6908	42	20	to	to	PART
fcis-6908	42	21	achieve	achieve	VERB
fcis-6908	42	22	the	the	DET
fcis-6908	42	23	application	application	NOUN
fcis-6908	42	24	of	of	ADP
fcis-6908	42	25	convolution	convolution	NOUN
fcis-6908	42	26	neutral	neutral	ADJ
fcis-6908	42	27	network	network	NOUN
fcis-6908	42	28	(	(	PUNCT
fcis-6908	42	29	cnn	cnn	PROPN
fcis-6908	42	30	)	)	PUNCT
fcis-6908	42	31	to	to	ADP
fcis-6908	42	32	video	video	NOUN
fcis-6908	42	33	processing	processing	NOUN
fcis-6908	42	34	.	.	PUNCT
fcis-6908	43	1	li	li	PROPN
fcis-6908	43	2	feifei	feifei	PROPN
fcis-6908	43	3	’s	’s	PART
fcis-6908	43	4	team[8	team[8	X
fcis-6908	43	5	]	]	X
fcis-6908	43	6	first	first	ADV
fcis-6908	43	7	proposed	propose	VERB
fcis-6908	43	8	the	the	DET
fcis-6908	43	9	application	application	NOUN
fcis-6908	43	10	of	of	ADP
fcis-6908	43	11	a	a	DET
fcis-6908	43	12	single	single	ADJ
fcis-6908	43	13	2d	2d	NUM
fcis-6908	43	14	cnn	cnn	PROPN
fcis-6908	43	15	to	to	ADP
fcis-6908	43	16	each	each	DET
fcis-6908	43	17	video	video	NOUN
fcis-6908	43	18	frame	frame	NOUN
fcis-6908	43	19	in	in	ADP
fcis-6908	43	20	a	a	DET
fcis-6908	43	21	successive	successive	ADJ
fcis-6908	43	22	manner	manner	NOUN
fcis-6908	43	23	,	,	PUNCT
fcis-6908	43	24	and	and	CCONJ
fcis-6908	43	25	researched	research	VERB
fcis-6908	43	26	some	some	DET
fcis-6908	43	27	temporal	temporal	ADJ
fcis-6908	43	28	connectivity	connectivity	NOUN
fcis-6908	43	29	patterns	pattern	NOUN
fcis-6908	43	30	to	to	PART
fcis-6908	43	31	learn	learn	VERB
fcis-6908	43	32	the	the	DET
fcis-6908	43	33	temporal	temporal	ADJ
fcis-6908	43	34	and	and	CCONJ
fcis-6908	43	35	spatial	spatial	ADJ
fcis-6908	43	36	features	feature	NOUN
fcis-6908	43	37	of	of	ADP
fcis-6908	43	38	videos	video	NOUN
fcis-6908	43	39	.	.	PUNCT
fcis-6908	44	1	the	the	DET
fcis-6908	44	2	3d	3d	PROPN
fcis-6908	44	3	convolution	convolution	NOUN
fcis-6908	44	4	was	be	AUX
fcis-6908	44	5	first	first	ADV
fcis-6908	44	6	proposed	propose	VERB
fcis-6908	44	7	by	by	ADP
fcis-6908	44	8	jis	jis	PROPN
fcis-6908	44	9	et	et	PROPN
fcis-6908	44	10	al	al	PROPN
fcis-6908	44	11	.	.	PUNCT
fcis-6908	45	1	[	[	X
fcis-6908	45	2	9	9	NUM
fcis-6908	45	3	]	]	PUNCT
fcis-6908	45	4	in	in	ADP
fcis-6908	45	5	2013	2013	NUM
fcis-6908	45	6	,	,	PUNCT
fcis-6908	45	7	which	which	PRON
fcis-6908	45	8	adds	add	VERB
fcis-6908	45	9	a	a	DET
fcis-6908	45	10	dimension	dimension	NOUN
fcis-6908	45	11	on	on	ADP
fcis-6908	45	12	the	the	DET
fcis-6908	45	13	basis	basis	NOUN
fcis-6908	45	14	of	of	ADP
fcis-6908	45	15	2d	2d	NUM
fcis-6908	45	16	convolution	convolution	NOUN
fcis-6908	45	17	in	in	ADP
fcis-6908	45	18	order	order	NOUN
fcis-6908	45	19	to	to	PART
fcis-6908	45	20	extract	extract	VERB
fcis-6908	45	21	the	the	DET
fcis-6908	45	22	features	feature	NOUN
fcis-6908	45	23	in	in	ADP
fcis-6908	45	24	the	the	DET
fcis-6908	45	25	temporal	temporal	ADJ
fcis-6908	45	26	dimension	dimension	NOUN
fcis-6908	45	27	.	.	PUNCT
fcis-6908	46	1	on	on	ADP
fcis-6908	46	2	this	this	DET
fcis-6908	46	3	basis	basis	NOUN
fcis-6908	46	4	,	,	PUNCT
fcis-6908	46	5	facebook	facebook	NOUN
fcis-6908	46	6	trans	trans	PROPN
fcis-6908	46	7	d	d	PROPN
fcis-6908	46	8	et	et	PROPN
fcis-6908	46	9	al	al	PROPN
fcis-6908	46	10	.	.	PROPN
fcis-6908	46	11	used	use	VERB
fcis-6908	46	12	the	the	DET
fcis-6908	46	13	3d	3d	NUM
fcis-6908	46	14	convolution	convolution	NOUN
fcis-6908	46	15	and	and	CCONJ
fcis-6908	46	16	3d	3d	NOUN
fcis-6908	46	17	pooling	pooling	NOUN
fcis-6908	46	18	to	to	PART
fcis-6908	46	19	construct	construct	VERB
fcis-6908	46	20	3d	3d	NUM
fcis-6908	46	21	convolutional	convolutional	ADJ
fcis-6908	46	22	networks	network	NOUN
fcis-6908	46	23	(	(	PUNCT
fcis-6908	46	24	c3d)[10	c3d)[10	X
fcis-6908	46	25	]	]	PUNCT
fcis-6908	46	26	,	,	PUNCT
fcis-6908	46	27	which	which	PRON
fcis-6908	46	28	can	can	AUX
fcis-6908	46	29	be	be	AUX
fcis-6908	46	30	applied	apply	VERB
fcis-6908	46	31	to	to	ADP
fcis-6908	46	32	action	action	NOUN
fcis-6908	46	33	recognition	recognition	NOUN
fcis-6908	46	34	,	,	PUNCT
fcis-6908	46	35	scenario	scenario	NOUN
fcis-6908	46	36	recognition	recognition	NOUN
fcis-6908	46	37	,	,	PUNCT
fcis-6908	46	38	video	video	NOUN
fcis-6908	46	39	similarity	similarity	NOUN
fcis-6908	46	40	analysis	analysis	NOUN
fcis-6908	46	41	and	and	CCONJ
fcis-6908	46	42	other	other	ADJ
fcis-6908	46	43	fields	field	NOUN
fcis-6908	46	44	.	.	PUNCT
fcis-6908	47	1	with	with	ADP
fcis-6908	47	2	c3d	c3d	NOUN
fcis-6908	47	3	networks	network	NOUN
fcis-6908	47	4	combined	combine	VERB
fcis-6908	47	5	with	with	ADP
fcis-6908	47	6	the	the	DET
fcis-6908	47	7	traditional	traditional	ADJ
fcis-6908	47	8	machine	machine	NOUN
fcis-6908	47	9	learning	learn	VERB
fcis-6908	47	10	classification	classification	NOUN
fcis-6908	47	11	,	,	PUNCT
fcis-6908	47	12	the	the	DET
fcis-6908	47	13	support	support	NOUN
fcis-6908	47	14	vector	vector	NOUN
fcis-6908	47	15	machine	machine	NOUN
fcis-6908	47	16	(	(	PUNCT
fcis-6908	47	17	svm	svm	PROPN
fcis-6908	47	18	)	)	PUNCT
fcis-6908	47	19	can	can	AUX
fcis-6908	47	20	achieve	achieve	VERB
fcis-6908	47	21	85.2	85.2	NUM
fcis-6908	47	22	%	%	NOUN
fcis-6908	47	23	accuracy	accuracy	NOUN
fcis-6908	47	24	rate	rate	NOUN
fcis-6908	47	25	on	on	ADP
fcis-6908	47	26	the	the	DET
fcis-6908	47	27	ucf101	ucf101	NOUN
fcis-6908	47	28	dataset	dataset	NOUN
fcis-6908	47	29	.	.	PUNCT
fcis-6908	48	1	the	the	DET
fcis-6908	48	2	accuracy	accuracy	NOUN
fcis-6908	48	3	is	be	AUX
fcis-6908	48	4	not	not	PART
fcis-6908	48	5	high	high	ADJ
fcis-6908	48	6	,	,	PUNCT
fcis-6908	48	7	but	but	CCONJ
fcis-6908	48	8	the	the	DET
fcis-6908	48	9	speed	speed	NOUN
fcis-6908	48	10	of	of	ADP
fcis-6908	48	11	c3d	c3d	NOUN
fcis-6908	48	12	network	network	NOUN
fcis-6908	48	13	is	be	AUX
fcis-6908	48	14	very	very	ADV
fcis-6908	48	15	fast	fast	ADJ
fcis-6908	48	16	,	,	PUNCT
fcis-6908	48	17	reaching	reach	VERB
fcis-6908	48	18	314fps	314fps	NUM
fcis-6908	48	19	in	in	ADP
fcis-6908	48	20	the	the	DET
fcis-6908	48	21	paper	paper	NOUN
fcis-6908	48	22	.	.	PUNCT
fcis-6908	49	1	in	in	ADP
fcis-6908	49	2	2017	2017	NUM
fcis-6908	49	3	,	,	PUNCT
fcis-6908	49	4	facebook	facebook	PROPN
fcis-6908	49	5	carreira	carreira	PROPN
fcis-6908	49	6	j	j	PROPN
fcis-6908	49	7	et	et	PROPN
fcis-6908	49	8	al	al	PROPN
fcis-6908	49	9	.	.	PROPN
fcis-6908	49	10	proposed	propose	VERB
fcis-6908	49	11	inflated	inflate	VERB
fcis-6908	49	12	3d	3d	NUM
fcis-6908	49	13	convolutional	convolutional	ADJ
fcis-6908	49	14	networks	network	NOUN
fcis-6908	49	15	(	(	PUNCT
fcis-6908	49	16	i3d	i3d	NUM
fcis-6908	49	17	)	)	PUNCT
fcis-6908	50	1	[	[	X
fcis-6908	50	2	11	11	NUM
fcis-6908	50	3	]	]	PUNCT
fcis-6908	50	4	(	(	PUNCT
fcis-6908	50	5	which	which	PRON
fcis-6908	50	6	adopted	adopt	VERB
fcis-6908	50	7	rgb	rgb	PROPN
fcis-6908	50	8	images	image	NOUN
fcis-6908	50	9	as	as	ADP
fcis-6908	50	10	input	input	NOUN
fcis-6908	50	11	,	,	PUNCT
fcis-6908	50	12	and	and	CCONJ
fcis-6908	50	13	input	input	VERB
fcis-6908	50	14	the	the	DET
fcis-6908	50	15	optical	optical	ADJ
fcis-6908	50	16	flow	flow	NOUN
fcis-6908	50	17	into	into	ADP
fcis-6908	50	18	the	the	DET
fcis-6908	50	19	networks	network	NOUN
fcis-6908	50	20	)	)	PUNCT
fcis-6908	50	21	,	,	PUNCT
fcis-6908	50	22	and	and	CCONJ
fcis-6908	50	23	a	a	DET
fcis-6908	50	24	twostream	twostream	NOUN
fcis-6908	50	25	3d	3d	NUM
fcis-6908	50	26	convolution	convolution	NOUN
fcis-6908	50	27	model	model	NOUN
fcis-6908	50	28	by	by	ADP
fcis-6908	50	29	combining	combine	VERB
fcis-6908	50	30	with	with	ADP
fcis-6908	50	31	the	the	DET
fcis-6908	50	32	fusion	fusion	NOUN
fcis-6908	50	33	model	model	NOUN
fcis-6908	50	34	of	of	ADP
fcis-6908	50	35	two	two	NUM
fcis-6908	50	36	-	-	PUNCT
fcis-6908	50	37	stream	stream	NOUN
fcis-6908	50	38	network	network	NOUN
fcis-6908	50	39	,	,	PUNCT
fcis-6908	50	40	which	which	PRON
fcis-6908	50	41	can	can	AUX
fcis-6908	50	42	achieve	achieve	VERB
fcis-6908	50	43	98	98	NUM
fcis-6908	50	44	%	%	NOUN
fcis-6908	50	45	accuracy	accuracy	NOUN
fcis-6908	50	46	rate	rate	NOUN
fcis-6908	50	47	on	on	ADP
fcis-6908	50	48	the	the	DET
fcis-6908	50	49	ucf101	ucf101	PROPN
fcis-6908	50	50	dataset	dataset	NOUN
fcis-6908	50	51	.	.	PUNCT
fcis-6908	51	1	based	base	VERB
fcis-6908	51	2	on	on	ADP
fcis-6908	51	3	the	the	DET
fcis-6908	51	4	video	video	NOUN
fcis-6908	51	5	spatio	spatio	PROPN
fcis-6908	51	6	-	-	PUNCT
fcis-6908	51	7	temporal	temporal	ADJ
fcis-6908	51	8	features	feature	NOUN
fcis-6908	51	9	extracted	extract	VERB
fcis-6908	51	10	by	by	ADP
fcis-6908	51	11	the	the	DET
fcis-6908	51	12	3d	3d	ADJ
fcis-6908	51	13	convolutional	convolutional	ADJ
fcis-6908	51	14	networks	network	NOUN
fcis-6908	51	15	,	,	PUNCT
fcis-6908	51	16	the	the	DET
fcis-6908	51	17	spatial	spatial	ADJ
fcis-6908	51	18	features	feature	NOUN
fcis-6908	51	19	are	be	AUX
fcis-6908	51	20	aggregated	aggregate	VERB
fcis-6908	51	21	by	by	ADP
fcis-6908	51	22	subsampling	subsample	VERB
fcis-6908	51	23	in	in	ADP
fcis-6908	51	24	the	the	DET
fcis-6908	51	25	spatial	spatial	ADJ
fcis-6908	51	26	domain	domain	NOUN
fcis-6908	51	27	.	.	PUNCT
fcis-6908	52	1	subsequently	subsequently	ADV
fcis-6908	52	2	,	,	PUNCT
fcis-6908	52	3	a	a	DET
fcis-6908	52	4	temporal	temporal	ADJ
fcis-6908	52	5	up	up	ADV
fcis-6908	52	6	-	-	PUNCT
fcis-6908	52	7	sampling	sample	VERB
fcis-6908	52	8	operation	operation	NOUN
fcis-6908	52	9	is	be	AUX
fcis-6908	52	10	performed	perform	VERB
fcis-6908	52	11	in	in	ADP
fcis-6908	52	12	the	the	DET
fcis-6908	52	13	temporal	temporal	ADJ
fcis-6908	52	14	domain	domain	NOUN
fcis-6908	52	15	to	to	PART
fcis-6908	52	16	restore	restore	VERB
fcis-6908	52	17	the	the	DET
fcis-6908	52	18	features	feature	NOUN
fcis-6908	52	19	to	to	ADP
fcis-6908	52	20	the	the	DET
fcis-6908	52	21	original	original	ADJ
fcis-6908	52	22	lengths	length	NOUN
fcis-6908	52	23	of	of	ADP
fcis-6908	52	24	the	the	DET
fcis-6908	52	25	input	input	NOUN
fcis-6908	52	26	video	video	NOUN
fcis-6908	52	27	sequences	sequence	NOUN
fcis-6908	52	28	as	as	ADV
fcis-6908	52	29	much	much	ADV
fcis-6908	52	30	as	as	ADP
fcis-6908	52	31	possible	possible	ADJ
fcis-6908	52	32	in	in	ADP
fcis-6908	52	33	the	the	DET
fcis-6908	52	34	temporal	temporal	ADJ
fcis-6908	52	35	dimension	dimension	NOUN
fcis-6908	52	36	.	.	PUNCT
fcis-6908	53	1	the	the	DET
fcis-6908	53	2	advantage	advantage	NOUN
fcis-6908	53	3	of	of	ADP
fcis-6908	53	4	this	this	DET
fcis-6908	53	5	method	method	NOUN
fcis-6908	53	6	is	be	AUX
fcis-6908	53	7	that	that	SCONJ
fcis-6908	53	8	more	more	ADV
fcis-6908	53	9	precise	precise	ADJ
fcis-6908	53	10	temporal	temporal	ADJ
fcis-6908	53	11	boundaries	boundary	NOUN
fcis-6908	53	12	can	can	AUX
fcis-6908	53	13	be	be	AUX
fcis-6908	53	14	detected	detect	VERB
fcis-6908	53	15	in	in	ADP
fcis-6908	53	16	the	the	DET
fcis-6908	53	17	temporal	temporal	ADJ
fcis-6908	53	18	domain	domain	NOUN
fcis-6908	53	19	,	,	PUNCT
fcis-6908	53	20	thus	thus	ADV
fcis-6908	53	21	improving	improve	VERB
fcis-6908	53	22	the	the	DET
fcis-6908	53	23	performance	performance	NOUN
fcis-6908	53	24	of	of	ADP
fcis-6908	53	25	temporal	temporal	ADJ
fcis-6908	53	26	action	action	NOUN
fcis-6908	53	27	detection	detection	NOUN
fcis-6908	53	28	.	.	PUNCT
fcis-6908	54	1	the	the	DET
fcis-6908	54	2	3d	3d	PROPN
fcis-6908	54	3	convolution	convolution	NOUN
fcis-6908	54	4	can	can	AUX
fcis-6908	54	5	learn	learn	VERB
fcis-6908	54	6	the	the	DET
fcis-6908	54	7	spatial	spatial	ADJ
fcis-6908	54	8	information	information	NOUN
fcis-6908	54	9	about	about	ADP
fcis-6908	54	10	each	each	DET
fcis-6908	54	11	frame	frame	NOUN
fcis-6908	54	12	and	and	CCONJ
fcis-6908	54	13	the	the	DET
fcis-6908	54	14	temporal	temporal	ADJ
fcis-6908	54	15	correlation	correlation	NOUN
fcis-6908	54	16	between	between	ADP
fcis-6908	54	17	frames	frame	NOUN
fcis-6908	54	18	,	,	PUNCT
fcis-6908	54	19	however	however	ADV
fcis-6908	54	20	,	,	PUNCT
fcis-6908	54	21	the	the	DET
fcis-6908	54	22	3d	3d	PROPN
fcis-6908	54	23	convolution	convolution	NOUN
fcis-6908	54	24	requires	require	VERB
fcis-6908	54	25	a	a	DET
fcis-6908	54	26	large	large	ADJ
fcis-6908	54	27	amount	amount	NOUN
fcis-6908	54	28	of	of	ADP
fcis-6908	54	29	computation	computation	NOUN
fcis-6908	54	30	and	and	CCONJ
fcis-6908	54	31	needs	need	VERB
fcis-6908	54	32	to	to	PART
fcis-6908	54	33	be	be	AUX
fcis-6908	54	34	trained	train	VERB
fcis-6908	54	35	from	from	ADP
fcis-6908	54	36	the	the	DET
fcis-6908	54	37	start	start	NOUN
fcis-6908	54	38	without	without	ADP
fcis-6908	54	39	pre	pre	ADJ
fcis-6908	54	40	-	-	ADJ
fcis-6908	54	41	training	training	ADJ
fcis-6908	54	42	parameters	parameter	NOUN
fcis-6908	54	43	,	,	PUNCT
fcis-6908	54	44	which	which	PRON
fcis-6908	54	45	makes	make	VERB
fcis-6908	54	46	it	it	PRON
fcis-6908	54	47	difficult	difficult	ADJ
fcis-6908	54	48	to	to	PART
fcis-6908	54	49	achieve	achieve	VERB
fcis-6908	54	50	convergence	convergence	NOUN
fcis-6908	54	51	and	and	CCONJ
fcis-6908	54	52	to	to	PART
fcis-6908	54	53	deploy	deploy	VERB
fcis-6908	54	54	the	the	DET
fcis-6908	54	55	3d	3d	NUM
fcis-6908	54	56	convolution	convolution	NOUN
fcis-6908	54	57	on	on	ADP
fcis-6908	54	58	embedded	embed	VERB
fcis-6908	54	59	terminals	terminal	NOUN
fcis-6908	54	60	,	,	PUNCT
fcis-6908	54	61	thus	thus	ADV
fcis-6908	54	62	limiting	limit	VERB
fcis-6908	54	63	the	the	DET
fcis-6908	54	64	practicability	practicability	NOUN
fcis-6908	54	65	of	of	ADP
fcis-6908	54	66	3d	3d	NUM
fcis-6908	54	67	convolution	convolution	NOUN
fcis-6908	54	68	.	.	PUNCT
fcis-6908	55	1	in	in	ADP
fcis-6908	55	2	order	order	NOUN
fcis-6908	55	3	to	to	PART
fcis-6908	55	4	solve	solve	VERB
fcis-6908	55	5	these	these	DET
fcis-6908	55	6	problems	problem	NOUN
fcis-6908	55	7	,	,	PUNCT
fcis-6908	55	8	qiu	qiu	PROPN
fcis-6908	55	9	z	z	PROPN
fcis-6908	55	10	et	et	NOUN
fcis-6908	55	11	al	al	PROPN
fcis-6908	55	12	.	.	PUNCT
fcis-6908	56	1	[	[	X
fcis-6908	56	2	12	12	NUM
fcis-6908	56	3	]	]	PUNCT
fcis-6908	56	4	proposed	propose	VERB
fcis-6908	56	5	pseudo-3d	pseudo-3d	PROPN
fcis-6908	56	6	convolutional	convolutional	ADJ
fcis-6908	56	7	networks	network	NOUN
fcis-6908	56	8	(	(	PUNCT
fcis-6908	56	9	p3d	p3d	PROPN
fcis-6908	56	10	)	)	PUNCT
fcis-6908	56	11	in	in	ADP
fcis-6908	56	12	2017	2017	NUM
fcis-6908	56	13	,	,	PUNCT
fcis-6908	56	14	which	which	PRON
fcis-6908	56	15	decomposes	decompose	VERB
fcis-6908	56	16	the	the	DET
fcis-6908	56	17	3d	3d	NUM
fcis-6908	56	18	convolution	convolution	NOUN
fcis-6908	56	19	into	into	ADP
fcis-6908	56	20	pseduo-2d	pseduo-2d	NOUN
fcis-6908	56	21	convolution	convolution	NOUN
fcis-6908	56	22	and	and	CCONJ
fcis-6908	56	23	pseudo1d	pseudo1d	ADJ
fcis-6908	56	24	convolution	convolution	NOUN
fcis-6908	56	25	,	,	PUNCT
fcis-6908	56	26	for	for	ADP
fcis-6908	56	27	example	example	NOUN
fcis-6908	56	28	,	,	PUNCT
fcis-6908	56	29	1×3×3	1×3×3	NUM
fcis-6908	56	30	spatial	spatial	ADJ
fcis-6908	56	31	convolution	convolution	NOUN
fcis-6908	56	32	and	and	CCONJ
fcis-6908	56	33	3×1×1	3×1×1	NUM
fcis-6908	56	34	temporal	temporal	ADJ
fcis-6908	56	35	convolution	convolution	NOUN
fcis-6908	56	36	are	be	AUX
fcis-6908	56	37	used	use	VERB
fcis-6908	56	38	to	to	PART
fcis-6908	56	39	replace	replace	VERB
fcis-6908	56	40	3×3×3	3×3×3	NUM
fcis-6908	56	41	3d	3d	NUM
fcis-6908	56	42	spatio	spatio	ADJ
fcis-6908	56	43	-	-	PUNCT
fcis-6908	56	44	temporal	temporal	ADJ
fcis-6908	56	45	convolution	convolution	NOUN
fcis-6908	56	46	,	,	PUNCT
fcis-6908	56	47	which	which	PRON
fcis-6908	56	48	can	can	AUX
fcis-6908	56	49	extract	extract	VERB
fcis-6908	56	50	video	video	NOUN
fcis-6908	56	51	spatiotemporal	spatiotemporal	ADJ
fcis-6908	56	52	features	feature	NOUN
fcis-6908	56	53	using	use	VERB
fcis-6908	56	54	3d	3d	NUM
fcis-6908	56	55	structure	structure	NOUN
fcis-6908	56	56	,	,	PUNCT
fcis-6908	56	57	and	and	CCONJ
fcis-6908	56	58	reduce	reduce	VERB
fcis-6908	56	59	the	the	DET
fcis-6908	56	60	amount	amount	NOUN
fcis-6908	56	61	of	of	ADP
fcis-6908	56	62	model	model	NOUN
fcis-6908	56	63	computation	computation	NOUN
fcis-6908	56	64	,	,	PUNCT
fcis-6908	56	65	laying	lay	VERB
fcis-6908	56	66	a	a	DET
fcis-6908	56	67	foundation	foundation	NOUN
fcis-6908	56	68	for	for	ADP
fcis-6908	56	69	the	the	DET
fcis-6908	56	70	practical	practical	ADJ
fcis-6908	56	71	application	application	NOUN
fcis-6908	56	72	of	of	ADP
fcis-6908	56	73	3d	3d	NUM
fcis-6908	56	74	convolution	convolution	NOUN
fcis-6908	56	75	.	.	PUNCT
fcis-6908	57	1	3.2	3.2	NUM
fcis-6908	57	2	.	.	X
fcis-6908	57	3	two	two	NUM
fcis-6908	57	4	-	-	PUNCT
fcis-6908	57	5	stream	stream	NOUN
fcis-6908	57	6	convolutional	convolutional	ADJ
fcis-6908	57	7	networks	network	NOUN
fcis-6908	57	8	in	in	ADP
fcis-6908	57	9	2014	2014	NUM
fcis-6908	57	10	,	,	PUNCT
fcis-6908	57	11	simonyan	simonyan	ADJ
fcis-6908	57	12	k	k	PROPN
fcis-6908	57	13	et	et	PROPN
fcis-6908	57	14	al	al	PROPN
fcis-6908	57	15	.	.	PUNCT
fcis-6908	58	1	[	[	X
fcis-6908	58	2	13	13	NUM
fcis-6908	58	3	]	]	PUNCT
fcis-6908	58	4	proposed	propose	VERB
fcis-6908	58	5	the	the	DET
fcis-6908	58	6	two	two	NUM
fcis-6908	58	7	-	-	PUNCT
fcis-6908	58	8	stream	stream	NOUN
fcis-6908	58	9	method	method	NOUN
fcis-6908	58	10	,	,	PUNCT
fcis-6908	58	11	which	which	PRON
fcis-6908	58	12	uses	use	VERB
fcis-6908	58	13	spatial	spatial	ADJ
fcis-6908	58	14	and	and	CCONJ
fcis-6908	58	15	temporal	temporal	ADJ
fcis-6908	58	16	information	information	NOUN
fcis-6908	58	17	of	of	ADP
fcis-6908	58	18	videos	video	NOUN
fcis-6908	58	19	to	to	PART
fcis-6908	58	20	train	train	NOUN
fcis-6908	58	21	models	model	NOUN
fcis-6908	58	22	respectively	respectively	ADV
fcis-6908	58	23	,	,	PUNCT
fcis-6908	58	24	and	and	CCONJ
fcis-6908	58	25	subsequently	subsequently	ADV
fcis-6908	58	26	fuses	fuse	VERB
fcis-6908	58	27	its	its	PRON
fcis-6908	58	28	output	output	NOUN
fcis-6908	58	29	to	to	PART
fcis-6908	58	30	obtain	obtain	VERB
fcis-6908	58	31	video	video	NOUN
fcis-6908	58	32	-	-	PUNCT
fcis-6908	58	33	level	level	NOUN
fcis-6908	58	34	feature	feature	NOUN
fcis-6908	58	35	representation	representation	NOUN
fcis-6908	58	36	,	,	PUNCT
fcis-6908	58	37	and	and	CCONJ
fcis-6908	58	38	eventually	eventually	ADV
fcis-6908	58	39	inputs	input	VERB
fcis-6908	58	40	the	the	DET
fcis-6908	58	41	video	video	NOUN
fcis-6908	58	42	features	feature	NOUN
fcis-6908	58	43	into	into	ADP
fcis-6908	58	44	traditional	traditional	ADJ
fcis-6908	58	45	machine	machine	NOUN
fcis-6908	58	46	learning	learn	VERB
fcis-6908	58	47	classifiers	classifier	NOUN
fcis-6908	58	48	to	to	PART
fcis-6908	58	49	obtain	obtain	VERB
fcis-6908	58	50	recognition	recognition	NOUN
fcis-6908	58	51	results	result	NOUN
fcis-6908	58	52	.	.	PUNCT
fcis-6908	59	1	in	in	ADP
fcis-6908	59	2	this	this	DET
fcis-6908	59	3	method	method	NOUN
fcis-6908	59	4	,	,	PUNCT
fcis-6908	59	5	the	the	DET
fcis-6908	59	6	spatial	spatial	ADJ
fcis-6908	59	7	information	information	NOUN
fcis-6908	59	8	uses	use	VERB
fcis-6908	59	9	rgb	rgb	PROPN
fcis-6908	59	10	pictures	picture	NOUN
fcis-6908	59	11	directly	directly	ADV
fcis-6908	59	12	extracted	extract	VERB
fcis-6908	59	13	from	from	ADP
fcis-6908	59	14	the	the	DET
fcis-6908	59	15	video	video	NOUN
fcis-6908	59	16	,	,	PUNCT
fcis-6908	59	17	and	and	CCONJ
fcis-6908	59	18	the	the	DET
fcis-6908	59	19	temporal	temporal	ADJ
fcis-6908	59	20	information	information	NOUN
fcis-6908	59	21	uses	use	VERB
fcis-6908	59	22	the	the	DET
fcis-6908	59	23	dense	dense	ADJ
fcis-6908	59	24	optical	optical	ADJ
fcis-6908	59	25	flow	flow	NOUN
fcis-6908	59	26	calculated	calculate	VERB
fcis-6908	59	27	every	every	DET
fcis-6908	59	28	two	two	NUM
fcis-6908	59	29	frames	frame	NOUN
fcis-6908	59	30	in	in	ADP
fcis-6908	59	31	the	the	DET
fcis-6908	59	32	video	video	NOUN
fcis-6908	59	33	sequences	sequence	NOUN
fcis-6908	59	34	.	.	PUNCT
fcis-6908	60	1	the	the	DET
fcis-6908	60	2	method	method	NOUN
fcis-6908	60	3	can	can	AUX
fcis-6908	60	4	achieve	achieve	VERB
fcis-6908	60	5	88	88	NUM
fcis-6908	60	6	%	%	NOUN
fcis-6908	60	7	accuracy	accuracy	NOUN
fcis-6908	60	8	rate	rate	NOUN
fcis-6908	60	9	on	on	ADP
fcis-6908	60	10	the	the	DET
fcis-6908	60	11	ucf101	ucf101	PROPN
fcis-6908	60	12	dataset	dataset	NOUN
fcis-6908	60	13	.	.	PUNCT
fcis-6908	61	1	hereafter	hereafter	ADV
fcis-6908	61	2	,	,	PUNCT
fcis-6908	61	3	the	the	DET
fcis-6908	61	4	focus	focus	NOUN
fcis-6908	61	5	of	of	ADP
fcis-6908	61	6	research	research	NOUN
fcis-6908	61	7	has	have	AUX
fcis-6908	61	8	been	be	AUX
fcis-6908	61	9	on	on	ADP
fcis-6908	61	10	the	the	DET
fcis-6908	61	11	improvement	improvement	NOUN
fcis-6908	61	12	in	in	ADP
fcis-6908	61	13	the	the	DET
fcis-6908	61	14	two	two	NUM
fcis-6908	61	15	-	-	PUNCT
fcis-6908	61	16	stream	stream	NOUN
fcis-6908	61	17	network	network	NOUN
fcis-6908	61	18	.	.	PUNCT
fcis-6908	62	1	in	in	ADP
fcis-6908	62	2	2016	2016	NUM
fcis-6908	62	3	,	,	PUNCT
fcis-6908	62	4	feichtenhofer	feichtenhofer	NOUN
fcis-6908	62	5	c	c	PROPN
fcis-6908	62	6	et	et	NOUN
fcis-6908	62	7	al	al	PROPN
fcis-6908	62	8	.	.	PUNCT
fcis-6908	63	1	[	[	X
fcis-6908	63	2	14	14	NUM
fcis-6908	63	3	]	]	PUNCT
fcis-6908	63	4	made	make	VERB
fcis-6908	63	5	an	an	DET
fcis-6908	63	6	improvement	improvement	NOUN
fcis-6908	63	7	in	in	ADP
fcis-6908	63	8	the	the	DET
fcis-6908	63	9	feature	feature	NOUN
fcis-6908	63	10	extraction	extraction	NOUN
fcis-6908	63	11	network	network	NOUN
fcis-6908	63	12	and	and	CCONJ
fcis-6908	63	13	fusion	fusion	NOUN
fcis-6908	63	14	method	method	NOUN
fcis-6908	63	15	of	of	ADP
fcis-6908	63	16	the	the	DET
fcis-6908	63	17	twostream	twostream	NOUN
fcis-6908	63	18	network	network	NOUN
fcis-6908	63	19	,	,	PUNCT
fcis-6908	63	20	using	use	VERB
fcis-6908	63	21	vgg16[15	vgg16[15	PROPN
fcis-6908	63	22	]	]	PUNCT
fcis-6908	63	23	to	to	PART
fcis-6908	63	24	extract	extract	VERB
fcis-6908	63	25	video	video	NOUN
fcis-6908	63	26	features	feature	NOUN
fcis-6908	63	27	and	and	CCONJ
fcis-6908	63	28	using	use	VERB
fcis-6908	63	29	the	the	DET
fcis-6908	63	30	convolutional	convolutional	ADJ
fcis-6908	63	31	neural	neural	ADJ
fcis-6908	63	32	networks	network	NOUN
fcis-6908	63	33	(	(	PUNCT
fcis-6908	63	34	cnn	cnn	PROPN
fcis-6908	63	35	)	)	PUNCT
fcis-6908	63	36	to	to	PART
fcis-6908	63	37	obtain	obtain	VERB
fcis-6908	63	38	fusion	fusion	NOUN
fcis-6908	63	39	weights	weight	NOUN
fcis-6908	63	40	,	,	PUNCT
fcis-6908	63	41	which	which	PRON
fcis-6908	63	42	improved	improve	VERB
fcis-6908	63	43	classification	classification	NOUN
fcis-6908	63	44	accuracy	accuracy	NOUN
fcis-6908	63	45	rate	rate	NOUN
fcis-6908	63	46	to	to	ADP
fcis-6908	63	47	92.5	92.5	NUM
fcis-6908	63	48	%	%	NOUN
fcis-6908	63	49	on	on	ADP
fcis-6908	63	50	the	the	DET
fcis-6908	63	51	ucf101	ucf101	PROPN
fcis-6908	63	52	dataset	dataset	NOUN
fcis-6908	63	53	.	.	PUNCT
fcis-6908	64	1	yue	yue	PROPN
fcis-6908	64	2	-	-	PUNCT
fcis-6908	64	3	hei	hei	PROPN
fcis-6908	64	4	ng	ng	PROPN
fcis-6908	64	5	j	j	PROPN
fcis-6908	64	6	et	et	PROPN
fcis-6908	64	7	al	al	PROPN
fcis-6908	64	8	.	.	PUNCT
fcis-6908	65	1	[	[	X
fcis-6908	65	2	16	16	NUM
fcis-6908	65	3	]	]	PUNCT
fcis-6908	65	4	adopted	adopt	VERB
fcis-6908	65	5	long	long	ADJ
fcis-6908	65	6	short	short	ADJ
fcis-6908	65	7	-	-	PUNCT
fcis-6908	65	8	term	term	NOUN
fcis-6908	65	9	memory	memory	NOUN
fcis-6908	65	10	(	(	PUNCT
fcis-6908	65	11	lstm	lstm	NOUN
fcis-6908	65	12	)	)	PUNCT
fcis-6908	65	13	as	as	ADP
fcis-6908	65	14	the	the	DET
fcis-6908	65	15	7	7	NUM
fcis-6908	65	16	fusion	fusion	NOUN
fcis-6908	65	17	network	network	NOUN
fcis-6908	65	18	of	of	ADP
fcis-6908	65	19	temporal	temporal	ADJ
fcis-6908	65	20	and	and	CCONJ
fcis-6908	65	21	spatial	spatial	ADJ
fcis-6908	65	22	stream	stream	NOUN
fcis-6908	65	23	,	,	PUNCT
fcis-6908	65	24	with	with	ADP
fcis-6908	65	25	the	the	DET
fcis-6908	65	26	accuracy	accuracy	NOUN
fcis-6908	65	27	rate	rate	NOUN
fcis-6908	65	28	reaching	reach	VERB
fcis-6908	65	29	88.6	88.6	NUM
fcis-6908	65	30	%	%	NOUN
fcis-6908	65	31	on	on	ADP
fcis-6908	65	32	the	the	DET
fcis-6908	65	33	ucf101	ucf101	PROPN
fcis-6908	65	34	dataset	dataset	NOUN
fcis-6908	65	35	.	.	PUNCT
fcis-6908	66	1	limin	limin	PROPN
fcis-6908	66	2	wang	wang	PROPN
fcis-6908	66	3	et	et	PROPN
fcis-6908	66	4	al	al	PROPN
fcis-6908	66	5	.	.	PUNCT
fcis-6908	67	1	[	[	X
fcis-6908	67	2	17	17	NUM
fcis-6908	67	3	]	]	PUNCT
fcis-6908	67	4	proposed	propose	VERB
fcis-6908	67	5	temporal	temporal	ADJ
fcis-6908	67	6	segment	segment	NOUN
fcis-6908	67	7	networks	network	NOUN
fcis-6908	67	8	(	(	PUNCT
fcis-6908	67	9	tsn	tsn	PROPN
fcis-6908	67	10	)	)	PUNCT
fcis-6908	67	11	in	in	ADP
fcis-6908	67	12	2016	2016	NUM
fcis-6908	67	13	and	and	CCONJ
fcis-6908	67	14	comprehensively	comprehensively	ADV
fcis-6908	67	15	discussed	discuss	VERB
fcis-6908	67	16	how	how	SCONJ
fcis-6908	67	17	to	to	PART
fcis-6908	67	18	improve	improve	VERB
fcis-6908	67	19	the	the	DET
fcis-6908	67	20	effect	effect	NOUN
fcis-6908	67	21	of	of	ADP
fcis-6908	67	22	the	the	DET
fcis-6908	67	23	two	two	NUM
fcis-6908	67	24	-	-	PUNCT
fcis-6908	67	25	stream	stream	NOUN
fcis-6908	67	26	network	network	NOUN
fcis-6908	67	27	from	from	ADP
fcis-6908	67	28	the	the	DET
fcis-6908	67	29	aspects	aspect	NOUN
fcis-6908	67	30	of	of	ADP
fcis-6908	67	31	input	input	NOUN
fcis-6908	67	32	data	datum	NOUN
fcis-6908	67	33	mode	mode	NOUN
fcis-6908	67	34	,	,	PUNCT
fcis-6908	67	35	video	video	NOUN
fcis-6908	67	36	sampling	sample	VERB
fcis-6908	67	37	strategy	strategy	NOUN
fcis-6908	67	38	and	and	CCONJ
fcis-6908	67	39	basic	basic	ADJ
fcis-6908	67	40	network	network	NOUN
fcis-6908	67	41	for	for	ADP
fcis-6908	67	42	extracting	extract	VERB
fcis-6908	67	43	spatial	spatial	ADJ
fcis-6908	67	44	features	feature	NOUN
fcis-6908	67	45	.	.	PUNCT
fcis-6908	68	1	it	it	PRON
fcis-6908	68	2	is	be	AUX
fcis-6908	68	3	currently	currently	ADV
fcis-6908	68	4	the	the	DET
fcis-6908	68	5	most	most	ADV
fcis-6908	68	6	popular	popular	ADJ
fcis-6908	68	7	action	action	NOUN
fcis-6908	68	8	recognition	recognition	NOUN
fcis-6908	68	9	model	model	NOUN
fcis-6908	68	10	,	,	PUNCT
fcis-6908	68	11	with	with	ADP
fcis-6908	68	12	the	the	DET
fcis-6908	68	13	accuracy	accuracy	NOUN
fcis-6908	68	14	rate	rate	NOUN
fcis-6908	68	15	reaching	reach	VERB
fcis-6908	68	16	94.2	94.2	NUM
fcis-6908	68	17	%	%	NOUN
fcis-6908	68	18	on	on	ADP
fcis-6908	68	19	the	the	DET
fcis-6908	68	20	ucf101	ucf101	PROPN
fcis-6908	68	21	dataset	dataset	NOUN
fcis-6908	68	22	.	.	PUNCT
fcis-6908	69	1	figure	figure	NOUN
fcis-6908	69	2	4	4	NUM
fcis-6908	69	3	.	.	PUNCT
fcis-6908	69	4	feature	feature	NOUN
fcis-6908	69	5	extraction	extraction	NOUN
fcis-6908	69	6	diagram	diagram	NOUN
fcis-6908	69	7	of	of	ADP
fcis-6908	69	8	two	two	NUM
fcis-6908	69	9	-	-	PUNCT
fcis-6908	69	10	stream	stream	NOUN
fcis-6908	69	11	network	network	NOUN
fcis-6908	69	12	3.3	3.3	NUM
fcis-6908	69	13	.	.	PUNCT
fcis-6908	70	1	the	the	DET
fcis-6908	70	2	action	action	NOUN
fcis-6908	70	3	detection	detection	NOUN
fcis-6908	70	4	algorithms	algorithm	NOUN
fcis-6908	70	5	after	after	ADP
fcis-6908	70	6	obtaining	obtain	VERB
fcis-6908	70	7	the	the	DET
fcis-6908	70	8	spatio	spatio	ADJ
fcis-6908	70	9	-	-	PUNCT
fcis-6908	70	10	temporal	temporal	ADJ
fcis-6908	70	11	feature	feature	NOUN
fcis-6908	70	12	representations	representation	NOUN
fcis-6908	70	13	of	of	ADP
fcis-6908	70	14	a	a	DET
fcis-6908	70	15	video	video	NOUN
fcis-6908	70	16	,	,	PUNCT
fcis-6908	70	17	the	the	DET
fcis-6908	70	18	current	current	ADJ
fcis-6908	70	19	action	action	NOUN
fcis-6908	70	20	detection	detection	NOUN
fcis-6908	70	21	algorithms	algorithm	NOUN
fcis-6908	70	22	can	can	AUX
fcis-6908	70	23	be	be	AUX
fcis-6908	70	24	divided	divide	VERB
fcis-6908	70	25	into	into	ADP
fcis-6908	70	26	two	two	NUM
fcis-6908	70	27	categories	category	NOUN
fcis-6908	70	28	:	:	PUNCT
fcis-6908	70	29	two	two	NUM
fcis-6908	70	30	-	-	PUNCT
fcis-6908	70	31	step	step	NOUN
fcis-6908	70	32	method	method	NOUN
fcis-6908	70	33	and	and	CCONJ
fcis-6908	70	34	one	one	NUM
fcis-6908	70	35	-	-	PUNCT
fcis-6908	70	36	step	step	NOUN
fcis-6908	70	37	method	method	NOUN
fcis-6908	70	38	.	.	PUNCT
fcis-6908	71	1	the	the	DET
fcis-6908	71	2	research	research	NOUN
fcis-6908	71	3	focus	focus	NOUN
fcis-6908	71	4	is	be	AUX
fcis-6908	71	5	laid	lay	VERB
fcis-6908	71	6	on	on	ADP
fcis-6908	71	7	temporal	temporal	ADJ
fcis-6908	71	8	boundary	boundary	ADJ
fcis-6908	71	9	proposal	proposal	NOUN
fcis-6908	71	10	technology	technology	NOUN
fcis-6908	71	11	,	,	PUNCT
fcis-6908	71	12	which	which	PRON
fcis-6908	71	13	is	be	AUX
fcis-6908	71	14	mainly	mainly	ADV
fcis-6908	71	15	composed	compose	VERB
fcis-6908	71	16	of	of	ADP
fcis-6908	71	17	three	three	NUM
fcis-6908	71	18	methods	method	NOUN
fcis-6908	71	19	,	,	PUNCT
fcis-6908	71	20	namely	namely	ADV
fcis-6908	71	21	,	,	PUNCT
fcis-6908	71	22	sliding	slide	VERB
fcis-6908	71	23	window	window	NOUN
fcis-6908	71	24	[	[	X
fcis-6908	71	25	18	18	NUM
fcis-6908	71	26	]	]	PUNCT
fcis-6908	71	27	,	,	PUNCT
fcis-6908	71	28	temporal	temporal	ADJ
fcis-6908	71	29	actionness	actionness	NOUN
fcis-6908	71	30	grouping	group	VERB
fcis-6908	71	31	[	[	X
fcis-6908	71	32	19	19	NUM
fcis-6908	71	33	]	]	PUNCT
fcis-6908	71	34	and	and	CCONJ
fcis-6908	71	35	temporal	temporal	ADJ
fcis-6908	71	36	unit	unit	NOUN
fcis-6908	71	37	regression	regression	NOUN
fcis-6908	71	38	[	[	X
fcis-6908	71	39	20	20	NUM
fcis-6908	71	40	]	]	PUNCT
fcis-6908	71	41	.	.	PUNCT
fcis-6908	72	1	3.3.1	3.3.1	X
fcis-6908	72	2	.	.	PUNCT
fcis-6908	73	1	the	the	DET
fcis-6908	73	2	method	method	NOUN
fcis-6908	73	3	of	of	ADP
fcis-6908	73	4	sliding	slide	VERB
fcis-6908	73	5	window	window	NOUN
fcis-6908	73	6	the	the	DET
fcis-6908	73	7	method	method	NOUN
fcis-6908	73	8	of	of	ADP
fcis-6908	73	9	sliding	slide	VERB
fcis-6908	73	10	window	window	NOUN
fcis-6908	73	11	was	be	AUX
fcis-6908	73	12	proposed	propose	VERB
fcis-6908	73	13	by	by	ADP
fcis-6908	73	14	shou	shou	PROPN
fcis-6908	73	15	z	z	PROPN
fcis-6908	73	16	et	et	PROPN
fcis-6908	73	17	al	al	PROPN
fcis-6908	73	18	.	.	PUNCT
fcis-6908	74	1	[	[	X
fcis-6908	74	2	18	18	NUM
fcis-6908	74	3	]	]	PUNCT
fcis-6908	74	4	in	in	ADP
fcis-6908	74	5	2016	2016	NUM
fcis-6908	74	6	in	in	ADP
fcis-6908	74	7	the	the	DET
fcis-6908	74	8	segment	segment	NOUN
fcis-6908	74	9	convolutional	convolutional	ADJ
fcis-6908	74	10	neural	neural	ADJ
fcis-6908	74	11	network	network	NOUN
fcis-6908	74	12	(	(	PUNCT
fcis-6908	74	13	scnn	scnn	PROPN
fcis-6908	74	14	)	)	PUNCT
fcis-6908	74	15	.	.	PUNCT
fcis-6908	75	1	just	just	ADV
fcis-6908	75	2	as	as	SCONJ
fcis-6908	75	3	the	the	DET
fcis-6908	75	4	name	name	NOUN
fcis-6908	75	5	implies	imply	VERB
fcis-6908	75	6	,	,	PUNCT
fcis-6908	75	7	windows	window	NOUN
fcis-6908	75	8	of	of	ADP
fcis-6908	75	9	different	different	ADJ
fcis-6908	75	10	sizes	size	NOUN
fcis-6908	75	11	are	be	AUX
fcis-6908	75	12	used	use	VERB
fcis-6908	75	13	to	to	PART
fcis-6908	75	14	slide	slide	VERB
fcis-6908	75	15	on	on	ADP
fcis-6908	75	16	the	the	DET
fcis-6908	75	17	video	video	NOUN
fcis-6908	75	18	,	,	PUNCT
fcis-6908	75	19	and	and	CCONJ
fcis-6908	75	20	windows	window	NOUN
fcis-6908	75	21	of	of	ADP
fcis-6908	75	22	more	more	ADV
fcis-6908	75	23	diverse	diverse	ADJ
fcis-6908	75	24	sizes	size	NOUN
fcis-6908	75	25	can	can	AUX
fcis-6908	75	26	achieve	achieve	VERB
fcis-6908	75	27	a	a	DET
fcis-6908	75	28	better	well	ADJ
fcis-6908	75	29	detection	detection	NOUN
fcis-6908	75	30	effect	effect	NOUN
fcis-6908	75	31	.	.	PUNCT
fcis-6908	76	1	scnn	scnn	PROPN
fcis-6908	76	2	is	be	AUX
fcis-6908	76	3	a	a	DET
fcis-6908	76	4	three	three	NUM
fcis-6908	76	5	-	-	PUNCT
fcis-6908	76	6	stage	stage	NOUN
fcis-6908	76	7	model	model	NOUN
fcis-6908	76	8	.	.	PUNCT
fcis-6908	77	1	in	in	ADP
fcis-6908	77	2	addition	addition	NOUN
fcis-6908	77	3	to	to	ADP
fcis-6908	77	4	temporal	temporal	ADJ
fcis-6908	77	5	boundary	boundary	ADJ
fcis-6908	77	6	proposal	proposal	NOUN
fcis-6908	77	7	,	,	PUNCT
fcis-6908	77	8	scnn	scnn	PROPN
fcis-6908	77	9	also	also	ADV
fcis-6908	77	10	includes	include	VERB
fcis-6908	77	11	two	two	NUM
fcis-6908	77	12	stages	stage	NOUN
fcis-6908	77	13	:	:	PUNCT
fcis-6908	77	14	binary	binary	ADJ
fcis-6908	77	15	classification	classification	NOUN
fcis-6908	77	16	and	and	CCONJ
fcis-6908	77	17	multi	multi	NOUN
fcis-6908	77	18	-	-	NOUN
fcis-6908	77	19	classification	classification	NOUN
fcis-6908	77	20	.	.	PUNCT
fcis-6908	78	1	before	before	ADP
fcis-6908	78	2	multiclassification	multiclassification	NOUN
fcis-6908	78	3	,	,	PUNCT
fcis-6908	78	4	the	the	DET
fcis-6908	78	5	binary	binary	ADJ
fcis-6908	78	6	classification	classification	NOUN
fcis-6908	78	7	is	be	AUX
fcis-6908	78	8	employed	employ	VERB
fcis-6908	78	9	to	to	PART
fcis-6908	78	10	filter	filter	VERB
fcis-6908	78	11	the	the	DET
fcis-6908	78	12	candidate	candidate	NOUN
fcis-6908	78	13	temporal	temporal	ADJ
fcis-6908	78	14	intervals	interval	NOUN
fcis-6908	78	15	,	,	PUNCT
fcis-6908	78	16	which	which	PRON
fcis-6908	78	17	can	can	AUX
fcis-6908	78	18	reduce	reduce	VERB
fcis-6908	78	19	redundancy	redundancy	NOUN
fcis-6908	78	20	to	to	ADP
fcis-6908	78	21	a	a	DET
fcis-6908	78	22	certain	certain	ADJ
fcis-6908	78	23	extent	extent	NOUN
fcis-6908	78	24	.	.	PUNCT
fcis-6908	79	1	the	the	DET
fcis-6908	79	2	feature	feature	NOUN
fcis-6908	79	3	extraction	extraction	NOUN
fcis-6908	79	4	network	network	NOUN
fcis-6908	79	5	used	use	VERB
fcis-6908	79	6	in	in	ADP
fcis-6908	79	7	scnn	scnn	PROPN
fcis-6908	79	8	is	be	AUX
fcis-6908	79	9	c3d	c3d	NOUN
fcis-6908	79	10	,	,	PUNCT
fcis-6908	79	11	with	with	ADP
fcis-6908	79	12	the	the	DET
fcis-6908	79	13	detection	detection	NOUN
fcis-6908	79	14	accuracy	accuracy	NOUN
fcis-6908	79	15	rate	rate	NOUN
fcis-6908	79	16	reaching	reach	VERB
fcis-6908	79	17	19.0	19.0	NUM
fcis-6908	79	18	%	%	NOUN
fcis-6908	79	19	on	on	ADP
fcis-6908	79	20	the	the	DET
fcis-6908	79	21	thumos14	thumos14	NOUN
fcis-6908	79	22	dataset	dataset	NOUN
fcis-6908	79	23	.	.	PUNCT
fcis-6908	80	1	on	on	ADP
fcis-6908	80	2	the	the	DET
fcis-6908	80	3	basis	basis	NOUN
fcis-6908	80	4	of	of	ADP
fcis-6908	80	5	the	the	DET
fcis-6908	80	6	sliding	slide	VERB
fcis-6908	80	7	window	window	NOUN
fcis-6908	80	8	,	,	PUNCT
fcis-6908	80	9	the	the	DET
fcis-6908	80	10	convolutional	convolutional	ADJ
fcis-6908	80	11	de	de	ADJ
fcis-6908	80	12	-	-	ADJ
fcis-6908	80	13	convolutional	convolutional	ADJ
fcis-6908	80	14	networks	network	NOUN
fcis-6908	80	15	(	(	PUNCT
fcis-6908	80	16	cdc	cdc	PROPN
fcis-6908	80	17	)	)	PUNCT
fcis-6908	81	1	[	[	X
fcis-6908	81	2	21	21	NUM
fcis-6908	81	3	]	]	X
fcis-6908	81	4	uses	use	VERB
fcis-6908	81	5	the	the	DET
fcis-6908	81	6	structures	structure	NOUN
fcis-6908	81	7	of	of	ADP
fcis-6908	81	8	convolutional	convolutional	ADJ
fcis-6908	81	9	and	and	CCONJ
fcis-6908	81	10	deconvolution	deconvolution	NOUN
fcis-6908	81	11	to	to	PART
fcis-6908	81	12	make	make	VERB
fcis-6908	81	13	fine	fine	ADJ
fcis-6908	81	14	adjustment	adjustment	NOUN
fcis-6908	81	15	of	of	ADP
fcis-6908	81	16	the	the	DET
fcis-6908	81	17	interval	interval	NOUN
fcis-6908	81	18	boundaries	boundary	NOUN
fcis-6908	81	19	,	,	PUNCT
fcis-6908	81	20	with	with	ADP
fcis-6908	81	21	the	the	DET
fcis-6908	81	22	detection	detection	NOUN
fcis-6908	81	23	accuracy	accuracy	NOUN
fcis-6908	81	24	rate	rate	NOUN
fcis-6908	81	25	reaching	reach	VERB
fcis-6908	81	26	23.3	23.3	NUM
fcis-6908	81	27	%	%	NOUN
fcis-6908	81	28	on	on	ADP
fcis-6908	81	29	the	the	DET
fcis-6908	81	30	thumos14	thumos14	NOUN
fcis-6908	81	31	dataset	dataset	NOUN
fcis-6908	81	32	.	.	PUNCT
fcis-6908	82	1	the	the	DET
fcis-6908	82	2	candidate	candidate	NOUN
fcis-6908	82	3	temporal	temporal	ADJ
fcis-6908	82	4	intervals	interval	NOUN
fcis-6908	82	5	obtained	obtain	VERB
fcis-6908	82	6	by	by	ADP
fcis-6908	82	7	the	the	DET
fcis-6908	82	8	sliding	slide	VERB
fcis-6908	82	9	window	window	NOUN
fcis-6908	82	10	create	create	VERB
fcis-6908	82	11	much	much	ADJ
fcis-6908	82	12	redundancy	redundancy	NOUN
fcis-6908	82	13	,	,	PUNCT
fcis-6908	82	14	which	which	PRON
fcis-6908	82	15	increases	increase	VERB
fcis-6908	82	16	the	the	DET
fcis-6908	82	17	computation	computation	NOUN
fcis-6908	82	18	,	,	PUNCT
fcis-6908	82	19	and	and	CCONJ
fcis-6908	82	20	can	can	AUX
fcis-6908	82	21	not	not	PART
fcis-6908	82	22	adapt	adapt	VERB
fcis-6908	82	23	to	to	ADP
fcis-6908	82	24	the	the	DET
fcis-6908	82	25	flexible	flexible	ADJ
fcis-6908	82	26	action	action	NOUN
fcis-6908	82	27	length	length	NOUN
fcis-6908	82	28	due	due	ADP
fcis-6908	82	29	to	to	ADP
fcis-6908	82	30	the	the	DET
fcis-6908	82	31	fixed	fix	VERB
fcis-6908	82	32	interval	interval	NOUN
fcis-6908	82	33	boundary	boundary	NOUN
fcis-6908	82	34	.	.	PUNCT
fcis-6908	83	1	in	in	ADP
fcis-6908	83	2	order	order	NOUN
fcis-6908	83	3	to	to	PART
fcis-6908	83	4	solve	solve	VERB
fcis-6908	83	5	above	above	ADV
fcis-6908	83	6	-	-	PUNCT
fcis-6908	83	7	mentioned	mention	VERB
fcis-6908	83	8	problems	problem	NOUN
fcis-6908	83	9	,	,	PUNCT
fcis-6908	83	10	the	the	DET
fcis-6908	83	11	temporal	temporal	ADJ
fcis-6908	83	12	actionness	actionness	NOUN
fcis-6908	83	13	grouping	group	VERB
fcis-6908	83	14	algorithm	algorithm	NOUN
fcis-6908	83	15	and	and	CCONJ
fcis-6908	83	16	the	the	DET
fcis-6908	83	17	temporal	temporal	ADJ
fcis-6908	83	18	unit	unit	NOUN
fcis-6908	83	19	regression	regression	NOUN
fcis-6908	83	20	algorithm	algorithm	NOUN
fcis-6908	83	21	are	be	AUX
fcis-6908	83	22	proposed	propose	VERB
fcis-6908	83	23	successively	successively	ADV
fcis-6908	83	24	.	.	PUNCT
fcis-6908	84	1	3.3.2	3.3.2	X
fcis-6908	84	2	.	.	PUNCT
fcis-6908	85	1	the	the	DET
fcis-6908	85	2	temporal	temporal	ADJ
fcis-6908	85	3	action	action	NOUN
fcis-6908	85	4	grouping	group	VERB
fcis-6908	85	5	algorithm	algorithm	NOUN
fcis-6908	85	6	in	in	ADP
fcis-6908	85	7	2017	2017	NUM
fcis-6908	85	8	,	,	PUNCT
fcis-6908	85	9	xiong	xiong	PROPN
fcis-6908	85	10	y	y	PROPN
fcis-6908	85	11	et	et	PROPN
fcis-6908	85	12	al	al	PROPN
fcis-6908	85	13	.	.	PUNCT
fcis-6908	86	1	[	[	X
fcis-6908	86	2	19	19	NUM
fcis-6908	86	3	]	]	PUNCT
fcis-6908	86	4	proposed	propose	VERB
fcis-6908	86	5	a	a	DET
fcis-6908	86	6	temporal	temporal	ADJ
fcis-6908	86	7	action	action	NOUN
fcis-6908	86	8	grouping	group	VERB
fcis-6908	86	9	algorithm	algorithm	NOUN
fcis-6908	86	10	,	,	PUNCT
fcis-6908	86	11	which	which	PRON
fcis-6908	86	12	uses	use	VERB
fcis-6908	86	13	the	the	DET
fcis-6908	86	14	trained	train	VERB
fcis-6908	86	15	action	action	NOUN
fcis-6908	86	16	recognition	recognition	NOUN
fcis-6908	86	17	model	model	NOUN
fcis-6908	86	18	to	to	PART
fcis-6908	86	19	perform	perform	VERB
fcis-6908	86	20	binary	binary	ADJ
fcis-6908	86	21	classification	classification	NOUN
fcis-6908	86	22	of	of	ADP
fcis-6908	86	23	each	each	DET
fcis-6908	86	24	segment	segment	NOUN
fcis-6908	86	25	in	in	ADP
fcis-6908	86	26	the	the	DET
fcis-6908	86	27	video	video	NOUN
fcis-6908	86	28	to	to	PART
fcis-6908	86	29	obtain	obtain	VERB
fcis-6908	86	30	the	the	DET
fcis-6908	86	31	action	action	NOUN
fcis-6908	86	32	probability	probability	NOUN
fcis-6908	86	33	sequences	sequence	NOUN
fcis-6908	86	34	,	,	PUNCT
fcis-6908	86	35	and	and	CCONJ
fcis-6908	86	36	subsequently	subsequently	ADV
fcis-6908	86	37	uses	use	VERB
fcis-6908	86	38	different	different	ADJ
fcis-6908	86	39	threshold	threshold	NOUN
fcis-6908	86	40	values	value	NOUN
fcis-6908	86	41	and	and	CCONJ
fcis-6908	86	42	grouping	group	VERB
fcis-6908	86	43	methods	method	NOUN
fcis-6908	86	44	to	to	PART
fcis-6908	86	45	obtain	obtain	VERB
fcis-6908	86	46	multiple	multiple	ADJ
fcis-6908	86	47	candidate	candidate	NOUN
fcis-6908	86	48	temporal	temporal	ADJ
fcis-6908	86	49	intervals	interval	NOUN
fcis-6908	86	50	.	.	PUNCT
fcis-6908	87	1	using	use	VERB
fcis-6908	87	2	the	the	DET
fcis-6908	87	3	tag	tag	NOUN
fcis-6908	87	4	network	network	NOUN
fcis-6908	87	5	,	,	PUNCT
fcis-6908	87	6	zhao	zhao	PROPN
fcis-6908	87	7	y	y	PROPN
fcis-6908	87	8	et	et	PROPN
fcis-6908	87	9	al	al	AUX
fcis-6908	87	10	.	.	PUNCT
fcis-6908	88	1	[	[	X
fcis-6908	88	2	22	22	NUM
fcis-6908	88	3	]	]	PUNCT
fcis-6908	88	4	proposed	propose	VERB
fcis-6908	88	5	the	the	DET
fcis-6908	88	6	structured	structured	ADJ
fcis-6908	88	7	segment	segment	NOUN
fcis-6908	88	8	network	network	NOUN
fcis-6908	88	9	(	(	PUNCT
fcis-6908	88	10	ssn	ssn	PROPN
fcis-6908	88	11	)	)	PUNCT
fcis-6908	88	12	,	,	PUNCT
fcis-6908	88	13	which	which	PRON
fcis-6908	88	14	adds	add	VERB
fcis-6908	88	15	contextual	contextual	ADJ
fcis-6908	88	16	information	information	NOUN
fcis-6908	88	17	to	to	ADP
fcis-6908	88	18	the	the	DET
fcis-6908	88	19	candidate	candidate	NOUN
fcis-6908	88	20	temporal	temporal	ADJ
fcis-6908	88	21	intervals	interval	NOUN
fcis-6908	88	22	,	,	PUNCT
fcis-6908	88	23	constructing	construct	VERB
fcis-6908	88	24	a	a	DET
fcis-6908	88	25	pyramid	pyramid	NOUN
fcis-6908	88	26	structure	structure	NOUN
fcis-6908	88	27	,	,	PUNCT
fcis-6908	88	28	to	to	PART
fcis-6908	88	29	represent	represent	VERB
fcis-6908	88	30	the	the	DET
fcis-6908	88	31	spatio	spatio	PROPN
fcis-6908	88	32	-	-	PUNCT
fcis-6908	88	33	temporal	temporal	ADJ
fcis-6908	88	34	features	feature	NOUN
fcis-6908	88	35	of	of	ADP
fcis-6908	88	36	each	each	DET
fcis-6908	88	37	action	action	NOUN
fcis-6908	88	38	.	.	PUNCT
fcis-6908	89	1	inspired	inspire	VERB
fcis-6908	89	2	by	by	ADP
fcis-6908	89	3	this	this	PRON
fcis-6908	89	4	,	,	PUNCT
fcis-6908	89	5	in	in	ADP
fcis-6908	89	6	2018	2018	NUM
fcis-6908	89	7	,	,	PUNCT
fcis-6908	89	8	qiu	qiu	PROPN
fcis-6908	89	9	et	et	PROPN
fcis-6908	89	10	al	al	PROPN
fcis-6908	89	11	.	.	PUNCT
fcis-6908	90	1	[	[	X
fcis-6908	90	2	23	23	NUM
fcis-6908	90	3	]	]	PUNCT
fcis-6908	90	4	used	use	VERB
fcis-6908	90	5	the	the	DET
fcis-6908	90	6	recurrent	recurrent	ADJ
fcis-6908	90	7	neural	neural	ADJ
fcis-6908	90	8	network	network	NOUN
fcis-6908	90	9	(	(	PUNCT
fcis-6908	90	10	rnn	rnn	PROPN
fcis-6908	90	11	)	)	PUNCT
fcis-6908	90	12	structure	structure	NOUN
fcis-6908	90	13	to	to	PART
fcis-6908	90	14	capture	capture	VERB
fcis-6908	90	15	contextual	contextual	ADJ
fcis-6908	90	16	information	information	NOUN
fcis-6908	90	17	of	of	ADP
fcis-6908	90	18	video	video	NOUN
fcis-6908	90	19	action	action	NOUN
fcis-6908	90	20	and	and	CCONJ
fcis-6908	90	21	added	add	VERB
fcis-6908	90	22	non	non	ADJ
fcis-6908	90	23	-	-	ADJ
fcis-6908	90	24	local	local	ADJ
fcis-6908	90	25	features	feature	NOUN
fcis-6908	90	26	to	to	ADP
fcis-6908	90	27	the	the	DET
fcis-6908	90	28	top	top	NOUN
fcis-6908	90	29	of	of	ADP
fcis-6908	90	30	the	the	DET
fcis-6908	90	31	pyramid	pyramid	NOUN
fcis-6908	90	32	structure	structure	NOUN
fcis-6908	90	33	of	of	ADP
fcis-6908	90	34	ssn	ssn	PROPN
fcis-6908	90	35	,	,	PUNCT
fcis-6908	90	36	with	with	ADP
fcis-6908	90	37	the	the	DET
fcis-6908	90	38	detection	detection	NOUN
fcis-6908	90	39	accuracy	accuracy	NOUN
fcis-6908	90	40	rate	rate	NOUN
fcis-6908	90	41	reaching	reach	VERB
fcis-6908	90	42	34.2	34.2	NUM
fcis-6908	90	43	%	%	NOUN
fcis-6908	90	44	on	on	ADP
fcis-6908	90	45	the	the	DET
fcis-6908	90	46	thumos14	thumos14	NOUN
fcis-6908	90	47	dataset	dataset	NOUN
fcis-6908	90	48	.	.	PUNCT
fcis-6908	91	1	3.3.3	3.3.3	X
fcis-6908	91	2	.	.	PUNCT
fcis-6908	92	1	the	the	DET
fcis-6908	92	2	temporal	temporal	ADJ
fcis-6908	92	3	unit	unit	NOUN
fcis-6908	92	4	regression	regression	NOUN
fcis-6908	92	5	algorithm	algorithm	NOUN
fcis-6908	92	6	the	the	DET
fcis-6908	92	7	temporal	temporal	ADJ
fcis-6908	92	8	unit	unit	NOUN
fcis-6908	92	9	regression	regression	NOUN
fcis-6908	92	10	algorithm	algorithm	NOUN
fcis-6908	92	11	calibrates	calibrate	VERB
fcis-6908	92	12	with	with	ADP
fcis-6908	92	13	the	the	DET
fcis-6908	92	14	label	label	NOUN
fcis-6908	92	15	intervals	interval	NOUN
fcis-6908	92	16	by	by	ADP
fcis-6908	92	17	regression	regression	NOUN
fcis-6908	92	18	of	of	ADP
fcis-6908	92	19	the	the	DET
fcis-6908	92	20	boundaries	boundary	NOUN
fcis-6908	92	21	of	of	ADP
fcis-6908	92	22	the	the	DET
fcis-6908	92	23	candidate	candidate	NOUN
fcis-6908	92	24	temporal	temporal	ADJ
fcis-6908	92	25	interval	interval	NOUN
fcis-6908	92	26	,	,	PUNCT
fcis-6908	92	27	based	base	VERB
fcis-6908	92	28	on	on	ADP
fcis-6908	92	29	the	the	DET
fcis-6908	92	30	boundary	boundary	ADJ
fcis-6908	92	31	regression	regression	NOUN
fcis-6908	92	32	method	method	NOUN
fcis-6908	92	33	in	in	ADP
fcis-6908	92	34	literature	literature	NOUN
fcis-6908	92	35	[	[	X
fcis-6908	92	36	24	24	NUM
fcis-6908	92	37	]	]	PUNCT
fcis-6908	92	38	.	.	PUNCT
fcis-6908	93	1	on	on	ADP
fcis-6908	93	2	this	this	DET
fcis-6908	93	3	basis	basis	NOUN
fcis-6908	93	4	,	,	PUNCT
fcis-6908	93	5	gao	gao	PROPN
fcis-6908	93	6	et	et	PROPN
fcis-6908	93	7	al	al	PROPN
fcis-6908	93	8	.	.	PUNCT
fcis-6908	94	1	[	[	X
fcis-6908	94	2	25	25	NUM
fcis-6908	94	3	]	]	PUNCT
fcis-6908	94	4	proposed	propose	VERB
fcis-6908	94	5	a	a	DET
fcis-6908	94	6	cascaded	cascade	VERB
fcis-6908	94	7	boundary	boundary	ADJ
fcis-6908	94	8	regression	regression	NOUN
fcis-6908	94	9	(	(	PUNCT
fcis-6908	94	10	cbr	cbr	NOUN
fcis-6908	94	11	)	)	PUNCT
fcis-6908	94	12	in	in	ADP
fcis-6908	94	13	2017	2017	NUM
fcis-6908	94	14	,	,	PUNCT
fcis-6908	94	15	with	with	ADP
fcis-6908	94	16	an	an	DET
fcis-6908	94	17	aim	aim	NOUN
fcis-6908	94	18	to	to	PART
fcis-6908	94	19	solve	solve	VERB
fcis-6908	94	20	the	the	DET
fcis-6908	94	21	shortcoming	shortcoming	NOUN
fcis-6908	94	22	that	that	SCONJ
fcis-6908	94	23	the	the	DET
fcis-6908	94	24	temporal	temporal	ADJ
fcis-6908	94	25	proposal	proposal	NOUN
fcis-6908	94	26	boxes	box	NOUN
fcis-6908	94	27	obtained	obtain	VERB
fcis-6908	94	28	by	by	ADP
fcis-6908	94	29	the	the	DET
fcis-6908	94	30	sliding	slide	VERB
fcis-6908	94	31	window	window	NOUN
fcis-6908	94	32	may	may	AUX
fcis-6908	94	33	merely	merely	ADV
fcis-6908	94	34	contain	contain	VERB
fcis-6908	94	35	part	part	NOUN
fcis-6908	94	36	of	of	ADP
fcis-6908	94	37	action	action	NOUN
fcis-6908	94	38	segments	segment	NOUN
fcis-6908	94	39	by	by	ADP
fcis-6908	94	40	means	mean	NOUN
fcis-6908	94	41	of	of	ADP
fcis-6908	94	42	cascaded	cascade	VERB
fcis-6908	94	43	boundary	boundary	ADJ
fcis-6908	94	44	regression	regression	NOUN
fcis-6908	94	45	.	.	PUNCT
fcis-6908	95	1	meanwhile	meanwhile	ADV
fcis-6908	95	2	,	,	PUNCT
fcis-6908	95	3	the	the	DET
fcis-6908	95	4	video	video	NOUN
fcis-6908	95	5	is	be	AUX
fcis-6908	95	6	divided	divide	VERB
fcis-6908	95	7	into	into	ADP
fcis-6908	95	8	several	several	ADJ
fcis-6908	95	9	small	small	ADJ
fcis-6908	95	10	units	unit	NOUN
fcis-6908	95	11	by	by	ADP
fcis-6908	95	12	the	the	DET
fcis-6908	95	13	method	method	NOUN
fcis-6908	95	14	of	of	ADP
fcis-6908	95	15	extracting	extract	VERB
fcis-6908	95	16	video	video	NOUN
fcis-6908	95	17	temporal	temporal	ADJ
fcis-6908	95	18	and	and	CCONJ
fcis-6908	95	19	spatial	spatial	ADJ
fcis-6908	95	20	features	feature	NOUN
fcis-6908	95	21	in	in	ADP
fcis-6908	95	22	the	the	DET
fcis-6908	95	23	temporal	temporal	ADJ
fcis-6908	95	24	unit	unit	NOUN
fcis-6908	95	25	regression	regression	NOUN
fcis-6908	95	26	network	network	NOUN
fcis-6908	95	27	for	for	ADP
fcis-6908	95	28	temporal	temporal	ADJ
fcis-6908	95	29	action	action	NOUN
fcis-6908	95	30	proposals	proposal	NOUN
fcis-6908	95	31	(	(	PUNCT
fcis-6908	95	32	turn	turn	VERB
fcis-6908	95	33	tap	tap	NOUN
fcis-6908	95	34	)	)	PUNCT
fcis-6908	95	35	.	.	PUNCT
fcis-6908	96	1	the	the	DET
fcis-6908	96	2	spatial	spatial	ADJ
fcis-6908	96	3	and	and	CCONJ
fcis-6908	96	4	temporal	temporal	ADJ
fcis-6908	96	5	features	feature	NOUN
fcis-6908	96	6	of	of	ADP
fcis-6908	96	7	each	each	DET
fcis-6908	96	8	unit	unit	NOUN
fcis-6908	96	9	are	be	AUX
fcis-6908	96	10	computed	compute	VERB
fcis-6908	96	11	,	,	PUNCT
fcis-6908	96	12	and	and	CCONJ
fcis-6908	96	13	subsequently	subsequently	ADV
fcis-6908	96	14	the	the	DET
fcis-6908	96	15	sliding	slide	VERB
fcis-6908	96	16	window	window	NOUN
fcis-6908	96	17	is	be	AUX
fcis-6908	96	18	operated	operate	VERB
fcis-6908	96	19	based	base	VERB
fcis-6908	96	20	on	on	ADP
fcis-6908	96	21	the	the	DET
fcis-6908	96	22	computed	computed	ADJ
fcis-6908	96	23	unit	unit	NOUN
fcis-6908	96	24	features	feature	VERB
fcis-6908	96	25	.	.	PUNCT
fcis-6908	97	1	this	this	DET
fcis-6908	97	2	feature	feature	NOUN
fcis-6908	97	3	extraction	extraction	NOUN
fcis-6908	97	4	method	method	NOUN
fcis-6908	97	5	avoids	avoid	VERB
fcis-6908	97	6	the	the	DET
fcis-6908	97	7	double	double	ADJ
fcis-6908	97	8	computation	computation	NOUN
fcis-6908	97	9	caused	cause	VERB
fcis-6908	97	10	by	by	ADP
fcis-6908	97	11	the	the	DET
fcis-6908	97	12	method	method	NOUN
fcis-6908	97	13	of	of	ADP
fcis-6908	97	14	sliding	slide	VERB
fcis-6908	97	15	over	over	ADP
fcis-6908	97	16	the	the	DET
fcis-6908	97	17	video	video	NOUN
fcis-6908	97	18	image	image	NOUN
fcis-6908	97	19	sequences	sequence	NOUN
fcis-6908	97	20	and	and	CCONJ
fcis-6908	97	21	then	then	ADV
fcis-6908	97	22	extracting	extract	VERB
fcis-6908	97	23	the	the	DET
fcis-6908	97	24	features	feature	NOUN
fcis-6908	97	25	,	,	PUNCT
fcis-6908	97	26	thus	thus	ADV
fcis-6908	97	27	improving	improve	VERB
fcis-6908	97	28	the	the	DET
fcis-6908	97	29	efficiency	efficiency	NOUN
fcis-6908	97	30	of	of	ADP
fcis-6908	97	31	feature	feature	NOUN
fcis-6908	97	32	extraction	extraction	NOUN
fcis-6908	97	33	.	.	PUNCT
fcis-6908	98	1	using	use	VERB
fcis-6908	98	2	temporal	temporal	ADJ
fcis-6908	98	3	unit	unit	NOUN
fcis-6908	98	4	regression	regression	NOUN
fcis-6908	98	5	,	,	PUNCT
fcis-6908	98	6	a	a	DET
fcis-6908	98	7	candidate	candidate	NOUN
fcis-6908	98	8	temporal	temporal	ADJ
fcis-6908	98	9	interval	interval	NOUN
fcis-6908	98	10	is	be	AUX
fcis-6908	98	11	found	find	VERB
fcis-6908	98	12	for	for	ADP
fcis-6908	98	13	each	each	DET
fcis-6908	98	14	action	action	NOUN
fcis-6908	98	15	,	,	PUNCT
fcis-6908	98	16	and	and	CCONJ
fcis-6908	98	17	the	the	DET
fcis-6908	98	18	highest	high	ADJ
fcis-6908	98	19	score	score	NOUN
fcis-6908	98	20	is	be	AUX
fcis-6908	98	21	taken	take	VERB
fcis-6908	98	22	as	as	ADP
fcis-6908	98	23	the	the	DET
fcis-6908	98	24	final	final	ADJ
fcis-6908	98	25	temporal	temporal	ADJ
fcis-6908	98	26	interval	interval	NOUN
fcis-6908	98	27	,	,	PUNCT
fcis-6908	98	28	with	with	ADP
fcis-6908	98	29	the	the	DET
fcis-6908	98	30	detection	detection	NOUN
fcis-6908	98	31	accuracy	accuracy	NOUN
fcis-6908	98	32	rate	rate	NOUN
fcis-6908	98	33	reaching	reach	VERB
fcis-6908	98	34	31.0	31.0	NUM
fcis-6908	98	35	%	%	NOUN
fcis-6908	98	36	on	on	ADP
fcis-6908	98	37	the	the	DET
fcis-6908	98	38	thumos14	thumos14	NOUN
fcis-6908	98	39	dataset	dataset	NOUN
fcis-6908	98	40	.	.	PUNCT
fcis-6908	99	1	in	in	ADP
fcis-6908	99	2	order	order	NOUN
fcis-6908	99	3	to	to	PART
fcis-6908	99	4	obtain	obtain	VERB
fcis-6908	99	5	more	more	ADV
fcis-6908	99	6	flexible	flexible	ADJ
fcis-6908	99	7	boundaries	boundary	NOUN
fcis-6908	99	8	,	,	PUNCT
fcis-6908	99	9	in	in	ADP
fcis-6908	99	10	2017	2017	NUM
fcis-6908	99	11	,	,	PUNCT
fcis-6908	99	12	xu	xu	PROPN
fcis-6908	99	13	h	h	INTJ
fcis-6908	99	14	et	et	PROPN
fcis-6908	99	15	al	al	PROPN
fcis-6908	99	16	.	.	PUNCT
fcis-6908	100	1	[	[	X
fcis-6908	100	2	26	26	NUM
fcis-6908	100	3	]	]	PUNCT
fcis-6908	100	4	proposed	propose	VERB
fcis-6908	100	5	the	the	DET
fcis-6908	100	6	region	region	NOUN
fcis-6908	100	7	3d	3d	PROPN
fcis-6908	100	8	convolutional	convolutional	ADJ
fcis-6908	100	9	3d	3d	PROPN
fcis-6908	100	10	network	network	NOUN
fcis-6908	100	11	(	(	PUNCT
fcis-6908	100	12	r	r	NOUN
fcis-6908	100	13	-	-	PUNCT
fcis-6908	100	14	c3d	c3d	NOUN
fcis-6908	100	15	)	)	PUNCT
fcis-6908	100	16	,	,	PUNCT
fcis-6908	100	17	which	which	PRON
fcis-6908	100	18	combines	combine	VERB
fcis-6908	100	19	temporal	temporal	ADJ
fcis-6908	100	20	boundary	boundary	ADJ
fcis-6908	100	21	proposal	proposal	NOUN
fcis-6908	100	22	and	and	CCONJ
fcis-6908	100	23	classification	classification	NOUN
fcis-6908	100	24	for	for	ADP
fcis-6908	100	25	training	training	NOUN
fcis-6908	100	26	.	.	PUNCT
fcis-6908	101	1	in	in	ADP
fcis-6908	101	2	2018	2018	NUM
fcis-6908	101	3	,	,	PUNCT
fcis-6908	101	4	chao	chao	PROPN
fcis-6908	101	5	y	y	PROPN
fcis-6908	101	6	w	w	PROPN
fcis-6908	101	7	et	et	PROPN
fcis-6908	101	8	al	al	PROPN
fcis-6908	101	9	.	.	PUNCT
fcis-6908	102	1	[	[	X
fcis-6908	102	2	27	27	NUM
fcis-6908	102	3	]	]	PUNCT
fcis-6908	102	4	made	make	VERB
fcis-6908	102	5	an	an	DET
fcis-6908	102	6	improvement	improvement	NOUN
fcis-6908	102	7	in	in	ADP
fcis-6908	102	8	this	this	DET
fcis-6908	102	9	structure	structure	NOUN
fcis-6908	102	10	by	by	ADP
fcis-6908	102	11	adding	add	VERB
fcis-6908	102	12	optical	optical	ADJ
fcis-6908	102	13	flow	flow	NOUN
fcis-6908	102	14	information	information	NOUN
fcis-6908	102	15	and	and	CCONJ
fcis-6908	102	16	contextual	contextual	ADJ
fcis-6908	102	17	information	information	NOUN
fcis-6908	102	18	of	of	ADP
fcis-6908	102	19	action	action	NOUN
fcis-6908	102	20	,	,	PUNCT
fcis-6908	102	21	making	make	VERB
fcis-6908	102	22	it	it	PRON
fcis-6908	102	23	more	more	ADV
fcis-6908	102	24	adaptable	adaptable	ADJ
fcis-6908	102	25	to	to	ADP
fcis-6908	102	26	the	the	DET
fcis-6908	102	27	action	action	NOUN
fcis-6908	102	28	detection	detection	NOUN
fcis-6908	102	29	.	.	PUNCT
fcis-6908	103	1	in	in	ADP
fcis-6908	103	2	addition	addition	NOUN
fcis-6908	103	3	,	,	PUNCT
fcis-6908	103	4	gao	gao	PROPN
fcis-6908	103	5	j	j	PROPN
fcis-6908	103	6	et	et	PROPN
fcis-6908	103	7	al	al	PROPN
fcis-6908	103	8	.	.	PUNCT
fcis-6908	104	1	[	[	X
fcis-6908	104	2	28	28	NUM
fcis-6908	104	3	]	]	PUNCT
fcis-6908	104	4	made	make	VERB
fcis-6908	104	5	a	a	DET
fcis-6908	104	6	combination	combination	NOUN
fcis-6908	104	7	of	of	ADP
fcis-6908	104	8	sliding	slide	VERB
fcis-6908	104	9	window	window	NOUN
fcis-6908	104	10	and	and	CCONJ
fcis-6908	104	11	temporal	temporal	ADJ
fcis-6908	104	12	actionness	actionness	NOUN
fcis-6908	104	13	grouping	group	VERB
fcis-6908	104	14	algorithm	algorithm	NOUN
fcis-6908	104	15	to	to	PART
fcis-6908	104	16	generate	generate	VERB
fcis-6908	104	17	candidate	candidate	NOUN
fcis-6908	104	18	temporal	temporal	ADJ
fcis-6908	104	19	intervals	interval	NOUN
fcis-6908	104	20	,	,	PUNCT
fcis-6908	104	21	with	with	ADP
fcis-6908	104	22	the	the	DET
fcis-6908	104	23	detection	detection	NOUN
fcis-6908	104	24	accuracy	accuracy	NOUN
fcis-6908	104	25	reaching	reach	VERB
fcis-6908	104	26	29.9	29.9	NUM
fcis-6908	104	27	%	%	NOUN
fcis-6908	104	28	on	on	ADP
fcis-6908	104	29	the	the	DET
fcis-6908	104	30	thumos14	thumos14	NOUN
fcis-6908	104	31	dataset	dataset	NOUN
fcis-6908	104	32	.	.	PUNCT
fcis-6908	105	1	lin	lin	PROPN
fcis-6908	105	2	t	t	PROPN
fcis-6908	105	3	et	et	PROPN
fcis-6908	105	4	al	al	PROPN
fcis-6908	105	5	.	.	PUNCT
fcis-6908	106	1	[	[	X
fcis-6908	106	2	29	29	NUM
fcis-6908	106	3	]	]	PUNCT
fcis-6908	106	4	proposed	propose	VERB
fcis-6908	106	5	a	a	DET
fcis-6908	106	6	boundary	boundary	ADJ
fcis-6908	106	7	sensitive	sensitive	ADJ
fcis-6908	106	8	network	network	NOUN
fcis-6908	106	9	(	(	PUNCT
fcis-6908	106	10	bsn	bsn	PROPN
fcis-6908	106	11	)	)	PUNCT
fcis-6908	106	12	,	,	PUNCT
fcis-6908	106	13	which	which	PRON
fcis-6908	106	14	uses	use	VERB
fcis-6908	106	15	cnn	cnn	PROPN
fcis-6908	106	16	model	model	NOUN
fcis-6908	106	17	to	to	PART
fcis-6908	106	18	predict	predict	VERB
fcis-6908	106	19	the	the	DET
fcis-6908	106	20	probabilities	probability	NOUN
fcis-6908	106	21	that	that	PRON
fcis-6908	106	22	action	action	NOUN
fcis-6908	106	23	begins	begin	VERB
fcis-6908	106	24	,	,	PUNCT
fcis-6908	106	25	ends	end	VERB
fcis-6908	106	26	and	and	CCONJ
fcis-6908	106	27	is	be	AUX
fcis-6908	106	28	ongoing	ongoing	ADJ
fcis-6908	106	29	,	,	PUNCT
fcis-6908	106	30	for	for	ADP
fcis-6908	106	31	each	each	DET
fcis-6908	106	32	temporal	temporal	ADJ
fcis-6908	106	33	position	position	NOUN
fcis-6908	106	34	in	in	ADP
fcis-6908	106	35	a	a	DET
fcis-6908	106	36	video	video	NOUN
fcis-6908	106	37	,	,	PUNCT
fcis-6908	106	38	to	to	PART
fcis-6908	106	39	generate	generate	VERB
fcis-6908	106	40	the	the	DET
fcis-6908	106	41	starting	starting	NOUN
fcis-6908	106	42	,	,	PUNCT
fcis-6908	106	43	ending	end	VERB
fcis-6908	106	44	and	and	CCONJ
fcis-6908	106	45	ongoing	ongoing	ADJ
fcis-6908	106	46	probability	probability	NOUN
fcis-6908	106	47	sequences	sequence	NOUN
fcis-6908	106	48	.	.	PUNCT
fcis-6908	107	1	subsequently	subsequently	ADV
fcis-6908	107	2	,	,	PUNCT
fcis-6908	107	3	these	these	DET
fcis-6908	107	4	three	three	NUM
fcis-6908	107	5	probability	probability	NOUN
fcis-6908	107	6	sequences	sequence	NOUN
fcis-6908	107	7	are	be	AUX
fcis-6908	107	8	processed	process	VERB
fcis-6908	107	9	to	to	PART
fcis-6908	107	10	obtain	obtain	VERB
fcis-6908	107	11	a	a	DET
fcis-6908	107	12	more	more	ADV
fcis-6908	107	13	accurate	accurate	ADJ
fcis-6908	107	14	candidate	candidate	NOUN
fcis-6908	107	15	temporal	temporal	ADJ
fcis-6908	107	16	interval	interval	NOUN
fcis-6908	107	17	.	.	PUNCT
fcis-6908	108	1	combined	combine	VERB
fcis-6908	108	2	with	with	ADP
fcis-6908	108	3	the	the	DET
fcis-6908	108	4	classification	classification	NOUN
fcis-6908	108	5	method	method	NOUN
fcis-6908	108	6	in	in	ADP
fcis-6908	108	7	scnn	scnn	PROPN
fcis-6908	108	8	,	,	PUNCT
fcis-6908	108	9	the	the	DET
fcis-6908	108	10	detection	detection	NOUN
fcis-6908	108	11	accuracy	accuracy	NOUN
fcis-6908	108	12	rate	rate	NOUN
fcis-6908	108	13	reaches	reach	VERB
fcis-6908	108	14	29.4	29.4	NUM
fcis-6908	108	15	%	%	NOUN
fcis-6908	108	16	on	on	ADP
fcis-6908	108	17	the	the	DET
fcis-6908	108	18	thumos14	thumos14	NOUN
fcis-6908	108	19	dataset	dataset	NOUN
fcis-6908	108	20	.	.	PUNCT
fcis-6908	109	1	in	in	ADP
fcis-6908	109	2	2019	2019	NUM
fcis-6908	109	3	,	,	PUNCT
fcis-6908	109	4	lin	lin	PROPN
fcis-6908	109	5	t	t	PROPN
fcis-6908	109	6	et	et	PROPN
fcis-6908	109	7	al	al	PROPN
fcis-6908	109	8	.	.	PUNCT
fcis-6908	110	1	[	[	X
fcis-6908	110	2	30	30	NUM
fcis-6908	110	3	]	]	PUNCT
fcis-6908	110	4	improved	improve	VERB
fcis-6908	110	5	the	the	DET
fcis-6908	110	6	matching	matching	NOUN
fcis-6908	110	7	method	method	NOUN
fcis-6908	110	8	of	of	ADP
fcis-6908	110	9	the	the	DET
fcis-6908	110	10	three	three	NUM
fcis-6908	110	11	probability	probability	NOUN
fcis-6908	110	12	sequences	sequence	NOUN
fcis-6908	110	13	,	,	PUNCT
fcis-6908	110	14	and	and	CCONJ
fcis-6908	110	15	proposed	propose	VERB
fcis-6908	110	16	the	the	DET
fcis-6908	110	17	boundary	boundary	ADJ
fcis-6908	110	18	matching	matching	NOUN
fcis-6908	110	19	network	network	NOUN
fcis-6908	110	20	(	(	PUNCT
fcis-6908	110	21	bmn	bmn	PROPN
fcis-6908	110	22	)	)	PUNCT
fcis-6908	110	23	.	.	PUNCT
fcis-6908	111	1	combined	combine	VERB
fcis-6908	111	2	with	with	ADP
fcis-6908	111	3	the	the	DET
fcis-6908	111	4	classification	classification	NOUN
fcis-6908	111	5	method	method	NOUN
fcis-6908	111	6	in	in	ADP
fcis-6908	111	7	scnn	scnn	PROPN
fcis-6908	111	8	,	,	PUNCT
fcis-6908	111	9	the	the	DET
fcis-6908	111	10	detection	detection	NOUN
fcis-6908	111	11	accuracy	accuracy	NOUN
fcis-6908	111	12	rate	rate	NOUN
fcis-6908	111	13	is	be	AUX
fcis-6908	111	14	improved	improve	VERB
fcis-6908	111	15	to	to	ADP
fcis-6908	111	16	32.2	32.2	NUM
fcis-6908	111	17	%	%	NOUN
fcis-6908	111	18	on	on	ADP
fcis-6908	111	19	the	the	DET
fcis-6908	111	20	thumos14	thumos14	NOUN
fcis-6908	111	21	dataset	dataset	NOUN
fcis-6908	111	22	.	.	PUNCT
fcis-6908	112	1	the	the	DET
fcis-6908	112	2	one	one	NUM
fcis-6908	112	3	-	-	PUNCT
fcis-6908	112	4	step	step	NOUN
fcis-6908	112	5	method	method	NOUN
fcis-6908	112	6	can	can	AUX
fcis-6908	112	7	simultaneously	simultaneously	ADV
fcis-6908	112	8	classify	classify	VERB
fcis-6908	112	9	,	,	PUNCT
fcis-6908	112	10	locate	locate	ADJ
fcis-6908	112	11	and	and	CCONJ
fcis-6908	112	12	directly	directly	ADV
fcis-6908	112	13	output	output	VERB
fcis-6908	112	14	the	the	DET
fcis-6908	112	15	results	result	NOUN
fcis-6908	112	16	of	of	ADP
fcis-6908	112	17	action	action	NOUN
fcis-6908	112	18	prediction	prediction	NOUN
fcis-6908	112	19	.	.	PUNCT
fcis-6908	113	1	in	in	ADP
fcis-6908	113	2	2016	2016	NUM
fcis-6908	113	3	,	,	PUNCT
fcis-6908	113	4	li	li	PROPN
fcis-6908	113	5	fei	fei	PROPN
fcis-6908	113	6	fei	fei	PROPN
fcis-6908	113	7	's	's	PART
fcis-6908	113	8	team	team	NOUN
fcis-6908	113	9	used	use	VERB
fcis-6908	113	10	reinforcement	reinforcement	NOUN
fcis-6908	113	11	learning	learning	NOUN
fcis-6908	113	12	to	to	PART
fcis-6908	113	13	train	train	VERB
fcis-6908	113	14	an	an	DET
fcis-6908	113	15	agent	agent	NOUN
fcis-6908	113	16	based	base	VERB
fcis-6908	113	17	on	on	ADP
fcis-6908	113	18	rnn	rnn	PROPN
fcis-6908	113	19	,	,	PUNCT
fcis-6908	113	20	which	which	PRON
fcis-6908	113	21	can	can	AUX
fcis-6908	113	22	directly	directly	ADV
fcis-6908	113	23	generate	generate	VERB
fcis-6908	113	24	action	action	NOUN
fcis-6908	113	25	prediction	prediction	NOUN
fcis-6908	113	26	[	[	X
fcis-6908	113	27	31	31	NUM
fcis-6908	113	28	]	]	PUNCT
fcis-6908	113	29	.	.	PUNCT
fcis-6908	114	1	in	in	ADP
fcis-6908	114	2	2017	2017	NUM
fcis-6908	114	3	,	,	PUNCT
fcis-6908	114	4	lin	lin	PROPN
fcis-6908	114	5	t	t	PROPN
fcis-6908	114	6	et	et	PROPN
fcis-6908	114	7	al	al	PROPN
fcis-6908	114	8	.	.	PUNCT
fcis-6908	115	1	[	[	X
fcis-6908	115	2	32	32	NUM
fcis-6908	115	3	]	]	PUNCT
fcis-6908	115	4	drew	draw	VERB
fcis-6908	115	5	on	on	ADP
fcis-6908	115	6	the	the	DET
fcis-6908	115	7	framework	framework	NOUN
fcis-6908	115	8	’s	’s	PART
fcis-6908	115	9	structure	structure	NOUN
fcis-6908	115	10	of	of	ADP
fcis-6908	115	11	single	single	ADJ
fcis-6908	115	12	shot	shot	NOUN
fcis-6908	115	13	multibox	multibox	NOUN
fcis-6908	115	14	detector	detector	NOUN
fcis-6908	115	15	(	(	PUNCT
fcis-6908	115	16	ssd	ssd	NOUN
fcis-6908	115	17	)	)	PUNCT
fcis-6908	116	1	[	[	X
fcis-6908	116	2	33	33	NUM
fcis-6908	116	3	]	]	PUNCT
fcis-6908	116	4	,	,	PUNCT
fcis-6908	116	5	and	and	CCONJ
fcis-6908	116	6	first	first	ADV
fcis-6908	116	7	proposed	propose	VERB
fcis-6908	116	8	the	the	DET
fcis-6908	116	9	single	single	ADJ
fcis-6908	116	10	shot	shot	ADJ
fcis-6908	116	11	temporal	temporal	ADJ
fcis-6908	116	12	action	action	NOUN
fcis-6908	116	13	detection	detection	NOUN
fcis-6908	116	14	(	(	PUNCT
fcis-6908	116	15	ssad	ssad	ADJ
fcis-6908	116	16	)	)	PUNCT
fcis-6908	116	17	model	model	NOUN
fcis-6908	116	18	,	,	PUNCT
fcis-6908	116	19	which	which	PRON
fcis-6908	116	20	performs	perform	VERB
fcis-6908	116	21	classification	classification	NOUN
fcis-6908	116	22	and	and	CCONJ
fcis-6908	116	23	regression	regression	NOUN
fcis-6908	116	24	only	only	ADV
fcis-6908	116	25	once	once	ADV
fcis-6908	116	26	on	on	ADP
fcis-6908	116	27	the	the	DET
fcis-6908	116	28	whole	whole	ADJ
fcis-6908	116	29	network	network	NOUN
fcis-6908	116	30	,	,	PUNCT
fcis-6908	116	31	however	however	ADV
fcis-6908	116	32	,	,	PUNCT
fcis-6908	116	33	the	the	DET
fcis-6908	116	34	detection	detection	NOUN
fcis-6908	116	35	accuracy	accuracy	NOUN
fcis-6908	116	36	on	on	ADP
fcis-6908	116	37	the	the	DET
fcis-6908	116	38	thumos14	thumos14	NOUN
fcis-6908	116	39	8	8	NUM
fcis-6908	116	40	data	datum	NOUN
fcis-6908	116	41	set	set	VERB
fcis-6908	116	42	was	be	AUX
fcis-6908	116	43	only	only	ADV
fcis-6908	116	44	24.6	24.6	NUM
fcis-6908	116	45	%	%	NOUN
fcis-6908	116	46	.	.	PUNCT
fcis-6908	117	1	in	in	ADP
fcis-6908	117	2	2019	2019	NUM
fcis-6908	117	3	,	,	PUNCT
fcis-6908	117	4	huang	huang	PROPN
fcis-6908	117	5	y	y	PROPN
fcis-6908	117	6	et	et	PROPN
fcis-6908	117	7	al	al	PROPN
fcis-6908	117	8	.	.	PUNCT
fcis-6908	118	1	[	[	X
fcis-6908	118	2	34	34	NUM
fcis-6908	118	3	]	]	PUNCT
fcis-6908	118	4	made	make	VERB
fcis-6908	118	5	improvement	improvement	NOUN
fcis-6908	118	6	of	of	ADP
fcis-6908	118	7	this	this	DET
fcis-6908	118	8	structure	structure	NOUN
fcis-6908	118	9	by	by	ADP
fcis-6908	118	10	adding	add	VERB
fcis-6908	118	11	classification	classification	NOUN
fcis-6908	118	12	branches	branch	NOUN
fcis-6908	118	13	and	and	CCONJ
fcis-6908	118	14	regression	regression	NOUN
fcis-6908	118	15	branches	branch	NOUN
fcis-6908	118	16	,	,	PUNCT
fcis-6908	118	17	with	with	ADP
fcis-6908	118	18	the	the	DET
fcis-6908	118	19	detection	detection	NOUN
fcis-6908	118	20	accuracy	accuracy	NOUN
fcis-6908	118	21	increasing	increase	VERB
fcis-6908	118	22	to	to	ADP
fcis-6908	118	23	35.8	35.8	NUM
fcis-6908	118	24	%	%	NOUN
fcis-6908	118	25	.	.	PUNCT
fcis-6908	119	1	in	in	ADP
fcis-6908	119	2	addition	addition	NOUN
fcis-6908	119	3	to	to	ADP
fcis-6908	119	4	the	the	DET
fcis-6908	119	5	two	two	NUM
fcis-6908	119	6	-	-	PUNCT
fcis-6908	119	7	stage	stage	NOUN
fcis-6908	119	8	method	method	NOUN
fcis-6908	119	9	mentioned	mention	VERB
fcis-6908	119	10	above	above	ADV
fcis-6908	119	11	,	,	PUNCT
fcis-6908	119	12	some	some	DET
fcis-6908	119	13	scholars	scholar	NOUN
fcis-6908	119	14	have	have	AUX
fcis-6908	119	15	carried	carry	VERB
fcis-6908	119	16	out	out	ADP
fcis-6908	119	17	exploration	exploration	NOUN
fcis-6908	119	18	of	of	ADP
fcis-6908	119	19	methods	method	NOUN
fcis-6908	119	20	based	base	VERB
fcis-6908	119	21	on	on	ADP
fcis-6908	119	22	one	one	NUM
fcis-6908	119	23	-	-	PUNCT
fcis-6908	119	24	stage	stage	NOUN
fcis-6908	119	25	temporal	temporal	ADJ
fcis-6908	119	26	action	action	NOUN
fcis-6908	119	27	detection	detection	NOUN
fcis-6908	119	28	.	.	PUNCT
fcis-6908	120	1	the	the	DET
fcis-6908	120	2	one	one	NUM
fcis-6908	120	3	-	-	PUNCT
fcis-6908	120	4	stage	stage	NOUN
fcis-6908	120	5	temporal	temporal	ADJ
fcis-6908	120	6	action	action	NOUN
fcis-6908	120	7	detection	detection	NOUN
fcis-6908	120	8	method	method	NOUN
fcis-6908	120	9	does	do	AUX
fcis-6908	120	10	not	not	PART
fcis-6908	120	11	generate	generate	VERB
fcis-6908	120	12	temporal	temporal	ADJ
fcis-6908	120	13	proposal	proposal	NOUN
fcis-6908	120	14	boxes	box	NOUN
fcis-6908	120	15	,	,	PUNCT
fcis-6908	120	16	but	but	CCONJ
fcis-6908	120	17	directly	directly	ADV
fcis-6908	120	18	uses	use	VERB
fcis-6908	120	19	the	the	DET
fcis-6908	120	20	network	network	NOUN
fcis-6908	120	21	to	to	PART
fcis-6908	120	22	detect	detect	VERB
fcis-6908	120	23	all	all	DET
fcis-6908	120	24	candidate	candidate	NOUN
fcis-6908	120	25	windows	window	NOUN
fcis-6908	120	26	.	.	PUNCT
fcis-6908	121	1	lin	lin	PROPN
fcis-6908	121	2	et	et	PROPN
fcis-6908	121	3	al	al	PROPN
fcis-6908	121	4	.	.	PUNCT
fcis-6908	122	1	[	[	X
fcis-6908	122	2	35	35	NUM
fcis-6908	122	3	]	]	PUNCT
fcis-6908	122	4	used	use	VERB
fcis-6908	122	5	one	one	NUM
fcis-6908	122	6	-	-	PUNCT
fcis-6908	122	7	dimensional	dimensional	ADJ
fcis-6908	122	8	convolution	convolution	NOUN
fcis-6908	122	9	to	to	PART
fcis-6908	122	10	model	model	VERB
fcis-6908	122	11	multi	multi	ADJ
fcis-6908	122	12	-	-	ADJ
fcis-6908	122	13	scale	scale	ADJ
fcis-6908	122	14	features	feature	NOUN
fcis-6908	122	15	to	to	PART
fcis-6908	122	16	generate	generate	VERB
fcis-6908	122	17	predefined	predefine	VERB
fcis-6908	122	18	anchor	anchor	NOUN
fcis-6908	122	19	boxes	box	NOUN
fcis-6908	122	20	at	at	ADP
fcis-6908	122	21	each	each	DET
fcis-6908	122	22	temporal	temporal	ADJ
fcis-6908	122	23	position	position	NOUN
fcis-6908	122	24	with	with	ADP
fcis-6908	122	25	multiscale	multiscale	ADJ
fcis-6908	122	26	features	feature	NOUN
fcis-6908	122	27	,	,	PUNCT
fcis-6908	122	28	to	to	PART
fcis-6908	122	29	directly	directly	ADV
fcis-6908	122	30	classify	classify	VERB
fcis-6908	122	31	the	the	DET
fcis-6908	122	32	action	action	NOUN
fcis-6908	122	33	category	category	NOUN
fcis-6908	122	34	of	of	ADP
fcis-6908	122	35	each	each	DET
fcis-6908	122	36	anchor	anchor	NOUN
fcis-6908	122	37	box	box	NOUN
fcis-6908	122	38	,	,	PUNCT
fcis-6908	122	39	and	and	CCONJ
fcis-6908	122	40	simultaneously	simultaneously	ADV
fcis-6908	122	41	to	to	PART
fcis-6908	122	42	perform	perform	VERB
fcis-6908	122	43	a	a	DET
fcis-6908	122	44	regression	regression	NOUN
fcis-6908	122	45	of	of	ADP
fcis-6908	122	46	the	the	DET
fcis-6908	122	47	boundary	boundary	ADJ
fcis-6908	122	48	box	box	PROPN
fcis-6908	122	49	offset	offset	NOUN
fcis-6908	122	50	.	.	PUNCT
fcis-6908	123	1	based	base	VERB
fcis-6908	123	2	on	on	ADP
fcis-6908	123	3	the	the	DET
fcis-6908	123	4	recurrent	recurrent	ADJ
fcis-6908	123	5	neural	neural	ADJ
fcis-6908	123	6	network	network	NOUN
fcis-6908	123	7	(	(	PUNCT
fcis-6908	123	8	rnn	rnn	PROPN
fcis-6908	123	9	)	)	PUNCT
fcis-6908	123	10	,	,	PUNCT
fcis-6908	123	11	buch	buch	PROPN
fcis-6908	123	12	et	et	PROPN
fcis-6908	123	13	al	al	PROPN
fcis-6908	123	14	.	.	PUNCT
fcis-6908	124	1	[	[	X
fcis-6908	124	2	36	36	NUM
fcis-6908	124	3	]	]	PUNCT
fcis-6908	124	4	performed	perform	VERB
fcis-6908	124	5	the	the	DET
fcis-6908	124	6	detection	detection	NOUN
fcis-6908	124	7	of	of	ADP
fcis-6908	124	8	temporal	temporal	ADJ
fcis-6908	124	9	action	action	NOUN
fcis-6908	124	10	boundaries	boundary	NOUN
fcis-6908	124	11	,	,	PUNCT
fcis-6908	124	12	while	while	SCONJ
fcis-6908	124	13	carrying	carry	VERB
fcis-6908	124	14	out	out	ADP
fcis-6908	124	15	classification	classification	NOUN
fcis-6908	124	16	of	of	ADP
fcis-6908	124	17	action	action	NOUN
fcis-6908	124	18	in	in	ADP
fcis-6908	124	19	a	a	DET
fcis-6908	124	20	video	video	NOUN
fcis-6908	124	21	.	.	PUNCT
fcis-6908	125	1	yeung	yeung	PROPN
fcis-6908	125	2	et	et	PROPN
fcis-6908	125	3	al	al	PROPN
fcis-6908	125	4	.	.	PUNCT
fcis-6908	126	1	[	[	X
fcis-6908	126	2	37	37	NUM
fcis-6908	126	3	]	]	PUNCT
fcis-6908	126	4	explored	explore	VERB
fcis-6908	126	5	the	the	DET
fcis-6908	126	6	usage	usage	NOUN
fcis-6908	126	7	of	of	ADP
fcis-6908	126	8	rnn	rnn	NOUN
fcis-6908	126	9	to	to	PART
fcis-6908	126	10	predict	predict	VERB
fcis-6908	126	11	the	the	DET
fcis-6908	126	12	starting	starting	NOUN
fcis-6908	126	13	and	and	CCONJ
fcis-6908	126	14	ending	end	VERB
fcis-6908	126	15	temporal	temporal	ADJ
fcis-6908	126	16	points	point	NOUN
fcis-6908	126	17	of	of	ADP
fcis-6908	126	18	action	action	NOUN
fcis-6908	126	19	in	in	ADP
fcis-6908	126	20	an	an	DET
fcis-6908	126	21	end	end	NOUN
fcis-6908	126	22	-	-	PUNCT
fcis-6908	126	23	to	to	ADP
fcis-6908	126	24	-	-	PUNCT
fcis-6908	126	25	end	end	NOUN
fcis-6908	126	26	manner	manner	NOUN
fcis-6908	126	27	.	.	PUNCT
fcis-6908	127	1	huang	huang	PROPN
fcis-6908	127	2	et	et	PROPN
fcis-6908	127	3	al	al	PROPN
fcis-6908	127	4	.	.	PUNCT
fcis-6908	128	1	[	[	X
fcis-6908	128	2	38	38	NUM
fcis-6908	128	3	]	]	PUNCT
fcis-6908	128	4	explored	explore	VERB
fcis-6908	128	5	the	the	DET
fcis-6908	128	6	detection	detection	NOUN
fcis-6908	128	7	and	and	CCONJ
fcis-6908	128	8	classification	classification	NOUN
fcis-6908	128	9	methods	method	NOUN
fcis-6908	128	10	in	in	ADP
fcis-6908	128	11	the	the	DET
fcis-6908	128	12	one	one	NUM
fcis-6908	128	13	-	-	PUNCT
fcis-6908	128	14	stage	stage	NOUN
fcis-6908	128	15	detection	detection	NOUN
fcis-6908	128	16	algorithm	algorithm	NOUN
fcis-6908	128	17	of	of	ADP
fcis-6908	128	18	decoupling	decouple	VERB
fcis-6908	128	19	.	.	PUNCT
fcis-6908	129	1	in	in	ADP
fcis-6908	129	2	this	this	DET
fcis-6908	129	3	method	method	NOUN
fcis-6908	129	4	,	,	PUNCT
fcis-6908	129	5	two	two	NUM
fcis-6908	129	6	parallel	parallel	ADJ
fcis-6908	129	7	branches	branch	NOUN
fcis-6908	129	8	are	be	AUX
fcis-6908	129	9	designed	design	VERB
fcis-6908	129	10	,	,	PUNCT
fcis-6908	129	11	each	each	PRON
fcis-6908	129	12	having	have	VERB
fcis-6908	129	13	a	a	DET
fcis-6908	129	14	separate	separate	ADJ
fcis-6908	129	15	feature	feature	NOUN
fcis-6908	129	16	representation	representation	NOUN
fcis-6908	129	17	to	to	PART
fcis-6908	129	18	decouple	decouple	VERB
fcis-6908	129	19	the	the	DET
fcis-6908	129	20	detection	detection	NOUN
fcis-6908	129	21	and	and	CCONJ
fcis-6908	129	22	classification	classification	NOUN
fcis-6908	129	23	processes	process	NOUN
fcis-6908	129	24	.	.	PUNCT
fcis-6908	130	1	4	4	X
fcis-6908	130	2	.	.	X
fcis-6908	130	3	future	future	ADJ
fcis-6908	130	4	expectations	expectation	NOUN
fcis-6908	130	5	currently	currently	ADV
fcis-6908	130	6	,	,	PUNCT
fcis-6908	130	7	research	research	NOUN
fcis-6908	130	8	at	at	ADP
fcis-6908	130	9	home	home	NOUN
fcis-6908	130	10	and	and	CCONJ
fcis-6908	130	11	abroad	abroad	ADV
fcis-6908	130	12	has	have	AUX
fcis-6908	130	13	basically	basically	ADV
fcis-6908	130	14	achieved	achieve	VERB
fcis-6908	130	15	the	the	DET
fcis-6908	130	16	action	action	NOUN
fcis-6908	130	17	detection	detection	NOUN
fcis-6908	130	18	in	in	ADP
fcis-6908	130	19	unsegmented	unsegmented	ADJ
fcis-6908	130	20	video	video	NOUN
fcis-6908	130	21	,	,	PUNCT
fcis-6908	130	22	however	however	ADV
fcis-6908	130	23	,	,	PUNCT
fcis-6908	130	24	the	the	DET
fcis-6908	130	25	detection	detection	NOUN
fcis-6908	130	26	efficiency	efficiency	NOUN
fcis-6908	130	27	is	be	AUX
fcis-6908	130	28	low	low	ADJ
fcis-6908	130	29	,	,	PUNCT
fcis-6908	130	30	and	and	CCONJ
fcis-6908	131	1	the	the	DET
fcis-6908	131	2	application	application	NOUN
fcis-6908	131	3	of	of	ADP
fcis-6908	131	4	mobile	mobile	ADJ
fcis-6908	131	5	and	and	CCONJ
fcis-6908	131	6	embedded	embed	VERB
fcis-6908	131	7	platforms	platform	NOUN
fcis-6908	131	8	has	have	AUX
fcis-6908	131	9	not	not	PART
fcis-6908	131	10	been	be	AUX
fcis-6908	131	11	popularized	popularize	VERB
fcis-6908	131	12	.	.	PUNCT
fcis-6908	132	1	in	in	ADP
fcis-6908	132	2	terms	term	NOUN
fcis-6908	132	3	with	with	ADP
fcis-6908	132	4	detection	detection	NOUN
fcis-6908	132	5	accuracy	accuracy	NOUN
fcis-6908	132	6	rate	rate	NOUN
fcis-6908	132	7	,	,	PUNCT
fcis-6908	132	8	in	in	ADP
fcis-6908	132	9	2017	2017	NUM
fcis-6908	132	10	,	,	PUNCT
fcis-6908	132	11	the	the	DET
fcis-6908	132	12	average	average	ADJ
fcis-6908	132	13	detection	detection	NOUN
fcis-6908	132	14	accuracy	accuracy	NOUN
fcis-6908	132	15	rate	rate	NOUN
fcis-6908	132	16	reached	reach	VERB
fcis-6908	132	17	about	about	ADV
fcis-6908	132	18	25	25	NUM
fcis-6908	132	19	%	%	NOUN
fcis-6908	132	20	,	,	PUNCT
fcis-6908	132	21	and	and	CCONJ
fcis-6908	132	22	since	since	SCONJ
fcis-6908	132	23	2018	2018	NUM
fcis-6908	132	24	,	,	PUNCT
fcis-6908	132	25	the	the	DET
fcis-6908	132	26	average	average	ADJ
fcis-6908	132	27	detection	detection	NOUN
fcis-6908	132	28	accuracy	accuracy	NOUN
fcis-6908	132	29	has	have	AUX
fcis-6908	132	30	been	be	AUX
fcis-6908	132	31	merely	merely	ADV
fcis-6908	132	32	35	35	NUM
fcis-6908	132	33	%	%	NOUN
fcis-6908	132	34	or	or	CCONJ
fcis-6908	132	35	so	so	ADV
fcis-6908	132	36	.	.	PUNCT
fcis-6908	133	1	in	in	ADP
fcis-6908	133	2	terms	term	NOUN
fcis-6908	133	3	of	of	ADP
fcis-6908	133	4	detection	detection	NOUN
fcis-6908	133	5	speed	speed	NOUN
fcis-6908	133	6	,	,	PUNCT
fcis-6908	133	7	researchers	researcher	NOUN
fcis-6908	133	8	generally	generally	ADV
fcis-6908	133	9	use	use	VERB
fcis-6908	133	10	the	the	DET
fcis-6908	133	11	3d	3d	NUM
fcis-6908	133	12	convolution	convolution	NOUN
fcis-6908	133	13	to	to	PART
fcis-6908	133	14	improve	improve	VERB
fcis-6908	133	15	the	the	DET
fcis-6908	133	16	computing	computing	NOUN
fcis-6908	133	17	speed	speed	NOUN
fcis-6908	133	18	.	.	PUNCT
fcis-6908	134	1	for	for	ADP
fcis-6908	134	2	example	example	NOUN
fcis-6908	134	3	,	,	PUNCT
fcis-6908	134	4	the	the	DET
fcis-6908	134	5	detection	detection	NOUN
fcis-6908	134	6	speed	speed	NOUN
fcis-6908	134	7	of	of	ADP
fcis-6908	134	8	r	r	NOUN
fcis-6908	134	9	-	-	PUNCT
fcis-6908	134	10	c3d	c3d	NOUN
fcis-6908	134	11	networks	network	NOUN
fcis-6908	134	12	proposed	propose	VERB
fcis-6908	134	13	by	by	ADP
fcis-6908	134	14	xu	xu	PROPN
fcis-6908	134	15	h	h	PROPN
fcis-6908	134	16	et	et	PROPN
fcis-6908	134	17	al	al	PROPN
fcis-6908	134	18	.	.	PROPN
fcis-6908	134	19	reaches	reach	VERB
fcis-6908	134	20	569fps	569fps	NUM
fcis-6908	134	21	,	,	PUNCT
fcis-6908	134	22	however	however	ADV
fcis-6908	134	23	,	,	PUNCT
fcis-6908	134	24	due	due	ADP
fcis-6908	134	25	to	to	ADP
fcis-6908	134	26	the	the	DET
fcis-6908	134	27	large	large	ADJ
fcis-6908	134	28	amount	amount	NOUN
fcis-6908	134	29	of	of	ADP
fcis-6908	134	30	3d	3d	NUM
fcis-6908	134	31	convolution	convolution	NOUN
fcis-6908	134	32	computation	computation	NOUN
fcis-6908	134	33	,	,	PUNCT
fcis-6908	134	34	this	this	DET
fcis-6908	134	35	method	method	NOUN
fcis-6908	134	36	is	be	AUX
fcis-6908	134	37	difficult	difficult	ADJ
fcis-6908	134	38	to	to	PART
fcis-6908	134	39	optimize	optimize	VERB
fcis-6908	134	40	,	,	PUNCT
fcis-6908	134	41	with	with	ADP
fcis-6908	134	42	its	its	PRON
fcis-6908	134	43	detection	detection	NOUN
fcis-6908	134	44	accuracy	accuracy	NOUN
fcis-6908	134	45	rate	rate	NOUN
fcis-6908	134	46	merely	merely	ADV
fcis-6908	134	47	reaching	reach	VERB
fcis-6908	134	48	29.8	29.8	NUM
fcis-6908	134	49	%	%	NOUN
fcis-6908	134	50	.	.	PUNCT
fcis-6908	135	1	therefore	therefore	ADV
fcis-6908	135	2	,	,	PUNCT
fcis-6908	135	3	it	it	PRON
fcis-6908	135	4	is	be	AUX
fcis-6908	135	5	urgent	urgent	ADJ
fcis-6908	135	6	to	to	PART
fcis-6908	135	7	find	find	VERB
fcis-6908	135	8	an	an	DET
fcis-6908	135	9	efficient	efficient	ADJ
fcis-6908	135	10	action	action	NOUN
fcis-6908	135	11	detection	detection	NOUN
fcis-6908	135	12	algorithm	algorithm	NOUN
fcis-6908	135	13	.	.	PUNCT
fcis-6908	136	1	in	in	ADP
fcis-6908	136	2	the	the	DET
fcis-6908	136	3	mobile	mobile	ADJ
fcis-6908	136	4	and	and	CCONJ
fcis-6908	136	5	embedded	embed	VERB
fcis-6908	136	6	field	field	NOUN
fcis-6908	136	7	,	,	PUNCT
fcis-6908	136	8	video	video	NOUN
fcis-6908	136	9	-	-	PUNCT
fcis-6908	136	10	based	base	VERB
fcis-6908	136	11	human	human	ADJ
fcis-6908	136	12	action	action	NOUN
fcis-6908	136	13	detection	detection	NOUN
fcis-6908	136	14	generally	generally	ADV
fcis-6908	136	15	adopts	adopt	VERB
fcis-6908	136	16	traditional	traditional	ADJ
fcis-6908	136	17	image	image	NOUN
fcis-6908	136	18	and	and	CCONJ
fcis-6908	136	19	video	video	NOUN
fcis-6908	136	20	processing	processing	NOUN
fcis-6908	136	21	methods	method	NOUN
fcis-6908	136	22	.	.	PUNCT
fcis-6908	137	1	for	for	ADP
fcis-6908	137	2	example	example	NOUN
fcis-6908	137	3	,	,	PUNCT
fcis-6908	137	4	ding	ding	PROPN
fcis-6908	137	5	chan	chan	PROPN
fcis-6908	137	6	achieved	achieve	VERB
fcis-6908	137	7	the	the	DET
fcis-6908	137	8	moving	move	VERB
fcis-6908	137	9	object	object	NOUN
fcis-6908	137	10	detection	detection	NOUN
fcis-6908	137	11	on	on	ADP
fcis-6908	137	12	embedded	embed	VERB
fcis-6908	137	13	platform	platform	NOUN
fcis-6908	137	14	using	use	VERB
fcis-6908	137	15	foreground	foreground	NOUN
fcis-6908	137	16	and	and	CCONJ
fcis-6908	137	17	background	background	NOUN
fcis-6908	137	18	extraction	extraction	NOUN
fcis-6908	137	19	methods	method	NOUN
fcis-6908	137	20	;	;	PUNCT
fcis-6908	137	21	xi	xi	X
fcis-6908	137	22	lu	lu	PROPN
fcis-6908	137	23	achieved	achieve	VERB
fcis-6908	137	24	a	a	DET
fcis-6908	137	25	smart	smart	ADJ
fcis-6908	137	26	home	home	NOUN
fcis-6908	137	27	monitoring	monitoring	NOUN
fcis-6908	137	28	system	system	NOUN
fcis-6908	137	29	using	use	VERB
fcis-6908	137	30	idt	idt	PROPN
fcis-6908	137	31	based	base	VERB
fcis-6908	137	32	on	on	ADP
fcis-6908	137	33	the	the	DET
fcis-6908	137	34	arm	arm	NOUN
fcis-6908	137	35	platform	platform	NOUN
fcis-6908	137	36	.	.	PUNCT
fcis-6908	138	1	since	since	SCONJ
fcis-6908	138	2	the	the	DET
fcis-6908	138	3	action	action	NOUN
fcis-6908	138	4	detection	detection	NOUN
fcis-6908	138	5	models	model	NOUN
fcis-6908	138	6	based	base	VERB
fcis-6908	138	7	on	on	ADP
fcis-6908	138	8	deep	deep	ADJ
fcis-6908	138	9	learning	learning	NOUN
fcis-6908	138	10	have	have	VERB
fcis-6908	138	11	a	a	DET
fcis-6908	138	12	high	high	ADJ
fcis-6908	138	13	requirement	requirement	NOUN
fcis-6908	138	14	for	for	ADP
fcis-6908	138	15	computing	computing	NOUN
fcis-6908	138	16	capacity	capacity	NOUN
fcis-6908	138	17	,	,	PUNCT
fcis-6908	138	18	there	there	PRON
fcis-6908	138	19	is	be	VERB
fcis-6908	138	20	a	a	DET
fcis-6908	138	21	severe	severe	ADJ
fcis-6908	138	22	delay	delay	NOUN
fcis-6908	138	23	in	in	ADP
fcis-6908	138	24	developing	develop	VERB
fcis-6908	138	25	and	and	CCONJ
fcis-6908	138	26	deploying	deploy	VERB
fcis-6908	138	27	the	the	DET
fcis-6908	138	28	embedded	embed	VERB
fcis-6908	138	29	platforms	platform	NOUN
fcis-6908	138	30	,	,	PUNCT
fcis-6908	138	31	causing	cause	VERB
fcis-6908	138	32	such	such	ADJ
fcis-6908	138	33	models	model	NOUN
fcis-6908	138	34	can	can	AUX
fcis-6908	138	35	not	not	PART
fcis-6908	138	36	step	step	VERB
fcis-6908	138	37	into	into	ADP
fcis-6908	138	38	the	the	DET
fcis-6908	138	39	practice	practice	NOUN
fcis-6908	138	40	.	.	PUNCT
fcis-6908	139	1	therefore	therefore	ADV
fcis-6908	139	2	,	,	PUNCT
fcis-6908	139	3	i	i	PRON
fcis-6908	139	4	believe	believe	VERB
fcis-6908	139	5	that	that	SCONJ
fcis-6908	139	6	the	the	DET
fcis-6908	139	7	research	research	NOUN
fcis-6908	139	8	of	of	ADP
fcis-6908	139	9	video	video	NOUN
fcis-6908	139	10	action	action	NOUN
fcis-6908	139	11	detection	detection	NOUN
fcis-6908	139	12	algorithm	algorithm	NOUN
fcis-6908	139	13	based	base	VERB
fcis-6908	139	14	on	on	ADP
fcis-6908	139	15	deep	deep	ADJ
fcis-6908	139	16	learning	learning	NOUN
fcis-6908	139	17	is	be	AUX
fcis-6908	139	18	worth	worth	ADJ
fcis-6908	139	19	further	far	ADV
fcis-6908	139	20	researching	research	VERB
fcis-6908	139	21	in	in	ADP
fcis-6908	139	22	the	the	DET
fcis-6908	139	23	direction	direction	NOUN
fcis-6908	139	24	of	of	ADP
fcis-6908	139	25	deployment	deployment	NOUN
fcis-6908	139	26	on	on	ADP
fcis-6908	139	27	embedded	embed	VERB
fcis-6908	139	28	devices	device	NOUN
fcis-6908	139	29	.	.	PUNCT
fcis-6908	140	1	references	reference	NOUN
fcis-6908	140	2	[	[	X
fcis-6908	140	3	1	1	NUM
fcis-6908	140	4	]	]	X
fcis-6908	140	5	hinton	hinton	PROPN
fcis-6908	140	6	g	g	PROPN
fcis-6908	140	7	e	e	PROPN
fcis-6908	140	8	,	,	PUNCT
fcis-6908	140	9	salakhutdinov	salakhutdinov	PROPN
fcis-6908	140	10	r	r	NOUN
fcis-6908	140	11	r.	r.	NOUN
fcis-6908	140	12	reducing	reduce	VERB
fcis-6908	140	13	the	the	DET
fcis-6908	140	14	dimensionality	dimensionality	NOUN
fcis-6908	140	15	of	of	ADP
fcis-6908	140	16	data	datum	NOUN
fcis-6908	140	17	with	with	ADP
fcis-6908	140	18	neural	neural	ADJ
fcis-6908	140	19	networks[j	networks[j	PROPN
fcis-6908	140	20	]	]	X
fcis-6908	140	21	.	.	PUNCT
fcis-6908	141	1	science	science	NOUN
fcis-6908	141	2	,	,	PUNCT
fcis-6908	141	3	2006	2006	NUM
fcis-6908	141	4	,	,	PUNCT
fcis-6908	141	5	313(5786	313(5786	NUM
fcis-6908	141	6	):	):	PUNCT
fcis-6908	141	7	504	504	NUM
fcis-6908	141	8	-	-	SYM
fcis-6908	141	9	507	507	NUM
fcis-6908	141	10	.	.	PUNCT
fcis-6908	142	1	[	[	X
fcis-6908	142	2	2	2	NUM
fcis-6908	142	3	]	]	X
fcis-6908	142	4	johansson	johansson	PROPN
fcis-6908	142	5	g.	g.	PROPN
fcis-6908	142	6	visual	visual	PROPN
fcis-6908	142	7	motion	motion	PROPN
fcis-6908	142	8	perception[j	perception[j	PROPN
fcis-6908	142	9	]	]	PUNCT
fcis-6908	142	10	.	.	PUNCT
fcis-6908	143	1	scientific	scientific	ADJ
fcis-6908	143	2	american	american	PROPN
fcis-6908	143	3	,	,	PUNCT
fcis-6908	143	4	1975	1975	NUM
fcis-6908	143	5	,	,	PUNCT
fcis-6908	143	6	232(6):76	232(6):76	NOUN
fcis-6908	143	7	-	-	SYM
fcis-6908	143	8	89	89	NUM
fcis-6908	143	9	.	.	PUNCT
fcis-6908	144	1	[	[	X
fcis-6908	144	2	3	3	X
fcis-6908	144	3	]	]	X
fcis-6908	144	4	burges	burge	NOUN
fcis-6908	144	5	c	c	PROPN
fcis-6908	144	6	.	.	PUNCT
fcis-6908	145	1	a	a	DET
fcis-6908	145	2	tutorial	tutorial	NOUN
fcis-6908	145	3	on	on	ADP
fcis-6908	145	4	support	support	NOUN
fcis-6908	145	5	vector	vector	NOUN
fcis-6908	145	6	machines	machine	NOUN
fcis-6908	145	7	for	for	ADP
fcis-6908	145	8	pattern	pattern	NOUN
fcis-6908	145	9	recognition[j	recognition[j	NOUN
fcis-6908	145	10	]	]	PUNCT
fcis-6908	145	11	.	.	PUNCT
fcis-6908	146	1	data	datum	NOUN
fcis-6908	146	2	mining	mining	NOUN
fcis-6908	146	3	and	and	CCONJ
fcis-6908	146	4	knowledge	knowledge	NOUN
fcis-6908	146	5	discovery	discovery	NOUN
fcis-6908	146	6	,	,	PUNCT
fcis-6908	146	7	1998	1998	NUM
fcis-6908	146	8	,	,	PUNCT
fcis-6908	146	9	2(2):121	2(2):121	NUM
fcis-6908	146	10	-	-	SYM
fcis-6908	146	11	167	167	NUM
fcis-6908	146	12	.	.	PUNCT
fcis-6908	147	1	[	[	X
fcis-6908	147	2	4	4	X
fcis-6908	147	3	]	]	X
fcis-6908	147	4	datta	datta	PROPN
fcis-6908	147	5	a	a	PROPN
fcis-6908	147	6	,	,	PUNCT
fcis-6908	147	7	shah	shah	PROPN
fcis-6908	147	8	m	m	PROPN
fcis-6908	147	9	,	,	PUNCT
fcis-6908	147	10	lobo	lobo	PROPN
fcis-6908	147	11	n	n	PROPN
fcis-6908	147	12	d	d	PROPN
fcis-6908	147	13	,	,	PUNCT
fcis-6908	147	14	et	et	PROPN
fcis-6908	147	15	al	al	PROPN
fcis-6908	147	16	.	.	PROPN
fcis-6908	147	17	person	person	NOUN
fcis-6908	147	18	-	-	PUNCT
fcis-6908	147	19	on	on	ADP
fcis-6908	147	20	-	-	PUNCT
fcis-6908	147	21	person	person	NOUN
fcis-6908	147	22	violence	violence	NOUN
fcis-6908	147	23	detection	detection	NOUN
fcis-6908	147	24	in	in	ADP
fcis-6908	147	25	video	video	NOUN
fcis-6908	147	26	data[c]//in	data[c]//in	VERB
fcis-6908	147	27	the	the	DET
fcis-6908	147	28	international	international	ADJ
fcis-6908	147	29	conference	conference	NOUN
fcis-6908	147	30	on	on	ADP
fcis-6908	147	31	pattern	pattern	NOUN
fcis-6908	147	32	recognition	recognition	NOUN
fcis-6908	147	33	.	.	PUNCT
fcis-6908	148	1	2002	2002	NUM
fcis-6908	148	2	:	:	PUNCT
fcis-6908	148	3	433	433	NUM
fcis-6908	148	4	-	-	SYM
fcis-6908	148	5	438	438	NUM
fcis-6908	148	6	.	.	PUNCT
fcis-6908	149	1	[	[	X
fcis-6908	149	2	5	5	NUM
fcis-6908	149	3	]	]	PUNCT
fcis-6908	149	4	cong	cong	NOUN
fcis-6908	149	5	y	y	PROPN
fcis-6908	149	6	,	,	PUNCT
fcis-6908	149	7	yuan	yuan	PROPN
fcis-6908	149	8	j	j	PROPN
fcis-6908	149	9	,	,	PUNCT
fcis-6908	149	10	liu	liu	PROPN
fcis-6908	149	11	j	j	PROPN
fcis-6908	149	12	,	,	PUNCT
fcis-6908	149	13	et	et	PROPN
fcis-6908	149	14	al	al	PROPN
fcis-6908	149	15	.	.	PROPN
fcis-6908	149	16	abnormal	abnormal	ADJ
fcis-6908	149	17	event	event	NOUN
fcis-6908	149	18	detection	detection	NOUN
fcis-6908	149	19	in	in	ADP
fcis-6908	149	20	crowded	crowded	ADJ
fcis-6908	149	21	scenes	scene	NOUN
fcis-6908	149	22	using	use	VERB
fcis-6908	149	23	sparse	sparse	ADJ
fcis-6908	149	24	representation[j	representation[j	PROPN
fcis-6908	149	25	]	]	PUNCT
fcis-6908	149	26	.	.	PUNCT
fcis-6908	150	1	pattern	pattern	NOUN
fcis-6908	150	2	recognition	recognition	PROPN
fcis-6908	150	3	,	,	PUNCT
fcis-6908	150	4	2013	2013	NUM
fcis-6908	150	5	,	,	PUNCT
fcis-6908	150	6	46(7	46(7	NUM
fcis-6908	150	7	):	):	PUNCT
fcis-6908	150	8	1851	1851	NUM
fcis-6908	150	9	-	-	SYM
fcis-6908	150	10	1864	1864	NUM
fcis-6908	150	11	.	.	PUNCT
fcis-6908	151	1	[	[	X
fcis-6908	151	2	6	6	NUM
fcis-6908	151	3	]	]	PUNCT
fcis-6908	151	4	wang	wang	PROPN
fcis-6908	151	5	h	h	PROPN
fcis-6908	151	6	,	,	PUNCT
fcis-6908	151	7	klaser	klaser	PROPN
fcis-6908	151	8	a	a	X
fcis-6908	151	9	,	,	PUNCT
fcis-6908	151	10	schmid	schmid	PROPN
fcis-6908	151	11	c	c	PROPN
fcis-6908	151	12	,	,	PUNCT
fcis-6908	151	13	et	et	PROPN
fcis-6908	151	14	al	al	PROPN
fcis-6908	151	15	.	.	PUNCT
fcis-6908	151	16	action	action	NOUN
fcis-6908	151	17	recognition	recognition	NOUN
fcis-6908	151	18	by	by	ADP
fcis-6908	151	19	dense	dense	ADJ
fcis-6908	151	20	trajectories[c]//in	trajectories[c]//in	NOUN
fcis-6908	151	21	the	the	DET
fcis-6908	151	22	ieee	ieee	PROPN
fcis-6908	151	23	conference	conference	NOUN
fcis-6908	151	24	on	on	ADP
fcis-6908	151	25	computer	computer	NOUN
fcis-6908	151	26	vision	vision	NOUN
fcis-6908	151	27	and	and	CCONJ
fcis-6908	151	28	pattern	pattern	NOUN
fcis-6908	151	29	recognition(cvpr	recognition(cvpr	NOUN
fcis-6908	151	30	)	)	PUNCT
fcis-6908	151	31	.	.	PUNCT
fcis-6908	152	1	2011	2011	NUM
fcis-6908	152	2	:	:	PUNCT
fcis-6908	152	3	3169	3169	NUM
fcis-6908	152	4	-	-	SYM
fcis-6908	152	5	3176	3176	NUM
fcis-6908	152	6	.	.	PUNCT
fcis-6908	153	1	[	[	X
fcis-6908	153	2	7	7	X
fcis-6908	153	3	]	]	X
fcis-6908	153	4	wang	wang	PROPN
fcis-6908	153	5	h	h	PROPN
fcis-6908	153	6	,	,	PUNCT
fcis-6908	153	7	schmid	schmid	PROPN
fcis-6908	153	8	c.	c.	PROPN
fcis-6908	153	9	action	action	NOUN
fcis-6908	153	10	recognition	recognition	NOUN
fcis-6908	153	11	with	with	ADP
fcis-6908	153	12	improved	improved	ADJ
fcis-6908	153	13	trajectories[c]//in	trajectories[c]//in	X
fcis-6908	153	14	the	the	DET
fcis-6908	153	15	ieee	ieee	PROPN
fcis-6908	153	16	conference	conference	NOUN
fcis-6908	153	17	on	on	ADP
fcis-6908	153	18	computer	computer	NOUN
fcis-6908	153	19	vision	vision	NOUN
fcis-6908	153	20	and	and	CCONJ
fcis-6908	153	21	pattern	pattern	NOUN
fcis-6908	153	22	recognition(cvpr	recognition(cvpr	NOUN
fcis-6908	153	23	)	)	PUNCT
fcis-6908	153	24	.	.	PUNCT
fcis-6908	154	1	2013	2013	NUM
fcis-6908	154	2	:	:	PUNCT
fcis-6908	154	3	3551	3551	NUM
fcis-6908	154	4	-	-	SYM
fcis-6908	154	5	3558	3558	NUM
fcis-6908	154	6	.	.	PUNCT
fcis-6908	155	1	[	[	X
fcis-6908	155	2	8	8	NUM
fcis-6908	155	3	]	]	X
fcis-6908	155	4	andrej	andrej	PROPN
fcis-6908	155	5	karpathy	karpathy	PROPN
fcis-6908	155	6	,	,	PUNCT
fcis-6908	155	7	george	george	PROPN
fcis-6908	155	8	toderici	toderici	PROPN
fcis-6908	155	9	,	,	PUNCT
fcis-6908	155	10	sanketh	sanketh	PROPN
fcis-6908	155	11	shetty	shetty	PROPN
fcis-6908	155	12	,	,	PUNCT
fcis-6908	155	13	thomas	thomas	PROPN
fcis-6908	155	14	leung	leung	PROPN
fcis-6908	155	15	,	,	PUNCT
fcis-6908	155	16	rahul	rahul	PROPN
fcis-6908	155	17	sukthankar	sukthankar	PROPN
fcis-6908	155	18	,	,	PUNCT
fcis-6908	155	19	and	and	CCONJ
fcis-6908	155	20	li	li	PROPN
fcis-6908	155	21	fei	fei	PROPN
fcis-6908	155	22	-	-	PUNCT
fcis-6908	155	23	fei	fei	PROPN
fcis-6908	155	24	.	.	PUNCT
fcis-6908	156	1	large	large	ADJ
fcis-6908	156	2	-	-	PUNCT
fcis-6908	156	3	scale	scale	NOUN
fcis-6908	156	4	video	video	NOUN
fcis-6908	156	5	classification	classification	NOUN
fcis-6908	156	6	with	with	ADP
fcis-6908	156	7	convolutional	convolutional	ADJ
fcis-6908	156	8	neural	neural	NOUN
fcis-6908	156	9	networks[c	networks[c	PROPN
fcis-6908	156	10	]	]	PUNCT
fcis-6908	156	11	//in	//in	PUNCT
fcis-6908	156	12	the	the	DET
fcis-6908	156	13	ieee	ieee	NOUN
fcis-6908	156	14	conference	conference	NOUN
fcis-6908	156	15	on	on	ADP
fcis-6908	156	16	computer	computer	NOUN
fcis-6908	156	17	vision	vision	NOUN
fcis-6908	156	18	and	and	CCONJ
fcis-6908	156	19	pattern	pattern	NOUN
fcis-6908	156	20	recognition(cvpr	recognition(cvpr	NOUN
fcis-6908	156	21	)	)	PUNCT
fcis-6908	156	22	.	.	PUNCT
fcis-6908	157	1	2014	2014	NUM
fcis-6908	157	2	.	.	PUNCT
fcis-6908	158	1	[	[	X
fcis-6908	158	2	9	9	NUM
fcis-6908	158	3	]	]	X
fcis-6908	158	4	ji	ji	PROPN
fcis-6908	158	5	s	s	PROPN
fcis-6908	158	6	,	,	PUNCT
fcis-6908	158	7	xu	xu	PROPN
fcis-6908	158	8	w	w	PROPN
fcis-6908	158	9	,	,	PUNCT
fcis-6908	158	10	yang	yang	PROPN
fcis-6908	158	11	m	m	PROPN
fcis-6908	158	12	,	,	PUNCT
fcis-6908	158	13	et	et	PROPN
fcis-6908	158	14	al	al	PROPN
fcis-6908	158	15	.	.	PROPN
fcis-6908	159	1	3d	3d	PROPN
fcis-6908	159	2	convolutional	convolutional	ADJ
fcis-6908	159	3	neural	neural	ADJ
fcis-6908	159	4	networks	network	NOUN
fcis-6908	159	5	for	for	ADP
fcis-6908	159	6	human	human	ADJ
fcis-6908	159	7	action	action	NOUN
fcis-6908	159	8	recognition[j	recognition[j	PROPN
fcis-6908	159	9	]	]	PUNCT
fcis-6908	159	10	.	.	PUNCT
fcis-6908	160	1	ieee	ieee	NOUN
fcis-6908	160	2	transactions	transaction	NOUN
fcis-6908	160	3	on	on	ADP
fcis-6908	160	4	pattern	pattern	NOUN
fcis-6908	160	5	analysis	analysis	NOUN
fcis-6908	160	6	and	and	CCONJ
fcis-6908	160	7	machine	machine	NOUN
fcis-6908	160	8	intelligence	intelligence	NOUN
fcis-6908	160	9	,	,	PUNCT
fcis-6908	160	10	2013	2013	NUM
fcis-6908	160	11	,	,	PUNCT
fcis-6908	160	12	35(1	35(1	NUM
fcis-6908	160	13	):	):	PUNCT
fcis-6908	160	14	221	221	NUM
fcis-6908	160	15	-	-	SYM
fcis-6908	160	16	231	231	NUM
fcis-6908	160	17	.	.	PUNCT
fcis-6908	161	1	[	[	X
fcis-6908	161	2	10	10	NUM
fcis-6908	161	3	]	]	X
fcis-6908	161	4	tran	tran	PROPN
fcis-6908	161	5	d	d	PROPN
fcis-6908	161	6	,	,	PUNCT
fcis-6908	161	7	bourdev	bourdev	PROPN
fcis-6908	161	8	l	l	NOUN
fcis-6908	161	9	,	,	PUNCT
fcis-6908	161	10	fergus	fergus	PROPN
fcis-6908	161	11	r	r	PROPN
fcis-6908	161	12	,	,	PUNCT
fcis-6908	161	13	et	et	PROPN
fcis-6908	161	14	al	al	PROPN
fcis-6908	161	15	.	.	PUNCT
fcis-6908	162	1	learning	learn	VERB
fcis-6908	162	2	spatiotemporal	spatiotemporal	ADJ
fcis-6908	162	3	features	feature	NOUN
fcis-6908	162	4	with	with	ADP
fcis-6908	162	5	3d	3d	PROPN
fcis-6908	162	6	convolutional	convolutional	ADJ
fcis-6908	162	7	networks[c	networks[c	PROPN
fcis-6908	162	8	]	]	PUNCT
fcis-6908	162	9	.	.	PUNCT
fcis-6908	163	1	proceedings	proceeding	NOUN
fcis-6908	163	2	of	of	ADP
fcis-6908	163	3	the	the	DET
fcis-6908	163	4	ieee	ieee	NOUN
fcis-6908	163	5	international	international	PROPN
fcis-6908	163	6	conference	conference	NOUN
fcis-6908	163	7	on	on	ADP
fcis-6908	163	8	computer	computer	NOUN
fcis-6908	163	9	vision	vision	NOUN
fcis-6908	163	10	.	.	PUNCT
fcis-6908	164	1	ieee	ieee	NOUN
fcis-6908	164	2	,	,	PUNCT
fcis-6908	164	3	2015	2015	NUM
fcis-6908	164	4	:	:	PUNCT
fcis-6908	164	5	4489	4489	NUM
fcis-6908	164	6	-	-	SYM
fcis-6908	164	7	4497	4497	NUM
fcis-6908	164	8	.	.	PUNCT
fcis-6908	165	1	[	[	X
fcis-6908	165	2	11	11	NUM
fcis-6908	165	3	]	]	X
fcis-6908	165	4	carreira	carreira	PROPN
fcis-6908	165	5	j	j	PROPN
fcis-6908	165	6	,	,	PUNCT
fcis-6908	165	7	zisserman	zisserman	PROPN
fcis-6908	165	8	a.	a.	PROPN
fcis-6908	165	9	quo	quo	PROPN
fcis-6908	165	10	vadis	vadis	NOUN
fcis-6908	165	11	,	,	PUNCT
fcis-6908	165	12	action	action	NOUN
fcis-6908	165	13	recognition	recognition	NOUN
fcis-6908	165	14	?	?	PUNCT
fcis-6908	166	1	a	a	DET
fcis-6908	166	2	new	new	ADJ
fcis-6908	166	3	model	model	NOUN
fcis-6908	166	4	and	and	CCONJ
fcis-6908	166	5	the	the	DET
fcis-6908	166	6	kinetics	kinetic	NOUN
fcis-6908	166	7	dataset[c	dataset[c	PROPN
fcis-6908	166	8	]	]	PUNCT
fcis-6908	166	9	.	.	PUNCT
fcis-6908	167	1	proceedings	proceeding	NOUN
fcis-6908	167	2	of	of	ADP
fcis-6908	167	3	the	the	DET
fcis-6908	167	4	ieee	ieee	NOUN
fcis-6908	167	5	conference	conference	NOUN
fcis-6908	167	6	on	on	ADP
fcis-6908	167	7	computer	computer	NOUN
fcis-6908	167	8	vision	vision	NOUN
fcis-6908	167	9	and	and	CCONJ
fcis-6908	167	10	pattern	pattern	NOUN
fcis-6908	167	11	recognition	recognition	NOUN
fcis-6908	167	12	.	.	PUNCT
fcis-6908	168	1	ieee	ieee	NOUN
fcis-6908	168	2	,	,	PUNCT
fcis-6908	168	3	2017	2017	NUM
fcis-6908	168	4	:	:	PUNCT
fcis-6908	168	5	6299	6299	NUM
fcis-6908	168	6	-	-	SYM
fcis-6908	168	7	6308	6308	NUM
fcis-6908	168	8	.	.	PUNCT
fcis-6908	169	1	[	[	X
fcis-6908	169	2	12	12	NUM
fcis-6908	169	3	]	]	X
fcis-6908	169	4	qiu	qiu	PROPN
fcis-6908	169	5	z	z	PROPN
fcis-6908	169	6	,	,	PUNCT
fcis-6908	169	7	yao	yao	PROPN
fcis-6908	169	8	t	t	PROPN
fcis-6908	169	9	,	,	PUNCT
fcis-6908	169	10	mei	mei	PROPN
fcis-6908	169	11	t.	t.	PROPN
fcis-6908	169	12	learning	learning	PROPN
fcis-6908	169	13	spatio	spatio	PROPN
fcis-6908	169	14	-	-	PUNCT
fcis-6908	169	15	temporal	temporal	ADJ
fcis-6908	169	16	representation	representation	NOUN
fcis-6908	169	17	with	with	ADP
fcis-6908	169	18	pseudo-3d	pseudo-3d	PROPN
fcis-6908	169	19	residual	residual	ADJ
fcis-6908	169	20	networks[c	networks[c	PROPN
fcis-6908	169	21	]	]	PUNCT
fcis-6908	169	22	.	.	PUNCT
fcis-6908	170	1	proceedings	proceeding	NOUN
fcis-6908	170	2	of	of	ADP
fcis-6908	170	3	the	the	DET
fcis-6908	170	4	ieee	ieee	NOUN
fcis-6908	170	5	international	international	PROPN
fcis-6908	170	6	conference	conference	NOUN
fcis-6908	170	7	on	on	ADP
fcis-6908	170	8	computer	computer	NOUN
fcis-6908	170	9	vision	vision	NOUN
fcis-6908	170	10	.	.	PUNCT
fcis-6908	171	1	ieee	ieee	NOUN
fcis-6908	171	2	,	,	PUNCT
fcis-6908	171	3	2017	2017	NUM
fcis-6908	171	4	:	:	PUNCT
fcis-6908	171	5	5533	5533	NUM
fcis-6908	171	6	-	-	SYM
fcis-6908	171	7	5541	5541	NUM
fcis-6908	171	8	.	.	PUNCT
fcis-6908	172	1	[	[	X
fcis-6908	172	2	13	13	NUM
fcis-6908	172	3	]	]	SYM
fcis-6908	172	4	simonyan	simonyan	PROPN
fcis-6908	172	5	k	k	NOUN
fcis-6908	172	6	,	,	PUNCT
fcis-6908	172	7	zisserman	zisserman	PROPN
fcis-6908	172	8	a.	a.	NOUN
fcis-6908	172	9	two	two	NUM
fcis-6908	172	10	-	-	PUNCT
fcis-6908	172	11	stream	stream	NOUN
fcis-6908	172	12	convolutional	convolutional	ADJ
fcis-6908	172	13	networks	network	NOUN
fcis-6908	172	14	for	for	ADP
fcis-6908	172	15	action	action	NOUN
fcis-6908	172	16	recognition	recognition	NOUN
fcis-6908	172	17	in	in	ADP
fcis-6908	172	18	videos[c	videos[c	PROPN
fcis-6908	172	19	]	]	PUNCT
fcis-6908	172	20	.	.	PUNCT
fcis-6908	173	1	advances	advance	NOUN
fcis-6908	173	2	in	in	ADP
fcis-6908	173	3	neural	neural	ADJ
fcis-6908	173	4	information	information	NOUN
fcis-6908	173	5	processing	processing	NOUN
fcis-6908	173	6	systems	system	NOUN
fcis-6908	173	7	.	.	PUNCT
fcis-6908	174	1	ieee	ieee	NOUN
fcis-6908	174	2	,	,	PUNCT
fcis-6908	174	3	2014:568	2014:568	NUM
fcis-6908	174	4	-	-	SYM
fcis-6908	174	5	576	576	NUM
fcis-6908	174	6	.	.	PUNCT
fcis-6908	175	1	[	[	X
fcis-6908	175	2	14	14	NUM
fcis-6908	175	3	]	]	SYM
fcis-6908	175	4	feichtenhofer	feichtenhofer	NOUN
fcis-6908	175	5	c	c	NOUN
fcis-6908	175	6	,	,	PUNCT
fcis-6908	175	7	pinz	pinz	PROPN
fcis-6908	175	8	a	a	X
fcis-6908	175	9	,	,	PUNCT
fcis-6908	175	10	zisserman	zisserman	NOUN
fcis-6908	175	11	a.	a.	NOUN
fcis-6908	175	12	convolutional	convolutional	ADJ
fcis-6908	175	13	twostream	twostream	NOUN
fcis-6908	175	14	network	network	NOUN
fcis-6908	175	15	fusion	fusion	NOUN
fcis-6908	175	16	for	for	ADP
fcis-6908	175	17	video	video	NOUN
fcis-6908	175	18	action	action	NOUN
fcis-6908	175	19	recognition[c	recognition[c	PROPN
fcis-6908	175	20	]	]	PUNCT
fcis-6908	175	21	.	.	PUNCT
fcis-6908	176	1	proceedings	proceeding	NOUN
fcis-6908	176	2	of	of	ADP
fcis-6908	176	3	the	the	DET
fcis-6908	176	4	ieee	ieee	NOUN
fcis-6908	176	5	conference	conference	NOUN
fcis-6908	176	6	on	on	ADP
fcis-6908	176	7	computer	computer	NOUN
fcis-6908	176	8	vision	vision	NOUN
fcis-6908	176	9	and	and	CCONJ
fcis-6908	176	10	pattern	pattern	NOUN
fcis-6908	176	11	recognition	recognition	NOUN
fcis-6908	176	12	.	.	PUNCT
fcis-6908	177	1	ieee	ieee	PROPN
fcis-6908	177	2	,	,	PUNCT
fcis-6908	177	3	2016:1933	2016:1933	NUM
fcis-6908	177	4	-	-	SYM
fcis-6908	177	5	1941	1941	NUM
fcis-6908	177	6	.	.	PUNCT
fcis-6908	178	1	[	[	X
fcis-6908	178	2	15	15	NUM
fcis-6908	178	3	]	]	X
fcis-6908	178	4	simonyan	simonyan	PROPN
fcis-6908	178	5	k	k	NOUN
fcis-6908	178	6	,	,	PUNCT
fcis-6908	178	7	zisserman	zisserman	NOUN
fcis-6908	178	8	a.	a.	NOUN
fcis-6908	178	9	very	very	ADV
fcis-6908	178	10	deep	deep	ADJ
fcis-6908	178	11	convolutional	convolutional	ADJ
fcis-6908	178	12	networks	network	NOUN
fcis-6908	178	13	for	for	ADP
fcis-6908	178	14	large	large	ADJ
fcis-6908	178	15	-	-	PUNCT
fcis-6908	178	16	scale	scale	NOUN
fcis-6908	178	17	image	image	NOUN
fcis-6908	178	18	recognition[j	recognition[j	NOUN
fcis-6908	178	19	/	/	SYM
fcis-6908	178	20	ol	ol	PROPN
fcis-6908	178	21	]	]	PUNCT
fcis-6908	178	22	.	.	PUNCT
fcis-6908	179	1	arxiv	arxiv	PROPN
fcis-6908	179	2	preprint	preprint	PROPN
fcis-6908	179	3	arxiv:1409.1556	arxiv:1409.1556	NOUN
fcis-6908	179	4	,	,	PUNCT
fcis-6908	179	5	2014	2014	NUM
fcis-6908	179	6	.	.	PUNCT
fcis-6908	180	1	[	[	X
fcis-6908	180	2	16	16	NUM
fcis-6908	180	3	]	]	X
fcis-6908	180	4	yue	yue	PROPN
fcis-6908	180	5	-	-	PUNCT
fcis-6908	180	6	hei	hei	PROPN
fcis-6908	180	7	ng	ng	PROPN
fcis-6908	180	8	j	j	PROPN
fcis-6908	180	9	,	,	PUNCT
fcis-6908	180	10	hausknecht	hausknecht	PROPN
fcis-6908	180	11	m	m	PROPN
fcis-6908	180	12	,	,	PUNCT
fcis-6908	180	13	vijayanarasimhan	vijayanarasimhan	PROPN
fcis-6908	180	14	s	s	PROPN
fcis-6908	180	15	,	,	PUNCT
fcis-6908	180	16	et	et	PROPN
fcis-6908	180	17	al	al	PROPN
fcis-6908	180	18	.	.	PROPN
fcis-6908	180	19	beyond	beyond	ADP
fcis-6908	180	20	short	short	ADJ
fcis-6908	180	21	snippets	snippet	NOUN
fcis-6908	180	22	:	:	PUNCT
fcis-6908	180	23	deep	deep	ADJ
fcis-6908	180	24	networks	network	NOUN
fcis-6908	180	25	for	for	ADP
fcis-6908	180	26	video	video	NOUN
fcis-6908	180	27	classification[c	classification[c	PROPN
fcis-6908	180	28	]	]	PUNCT
fcis-6908	180	29	.	.	PUNCT
fcis-6908	181	1	proceedings	proceeding	NOUN
fcis-6908	181	2	of	of	ADP
fcis-6908	181	3	the	the	DET
fcis-6908	181	4	ieee	ieee	NOUN
fcis-6908	181	5	conference	conference	NOUN
fcis-6908	181	6	on	on	ADP
fcis-6908	181	7	computer	computer	NOUN
fcis-6908	181	8	vision	vision	NOUN
fcis-6908	181	9	and	and	CCONJ
fcis-6908	181	10	pattern	pattern	NOUN
fcis-6908	181	11	recognition	recognition	NOUN
fcis-6908	181	12	.	.	PUNCT
fcis-6908	182	1	ieee	ieee	NOUN
fcis-6908	182	2	,	,	PUNCT
fcis-6908	182	3	2015	2015	NUM
fcis-6908	182	4	:	:	SYM
fcis-6908	182	5	46944702	46944702	NUM
fcis-6908	182	6	.	.	PUNCT
fcis-6908	183	1	[	[	X
fcis-6908	183	2	17	17	NUM
fcis-6908	183	3	]	]	X
fcis-6908	183	4	wang	wang	PROPN
fcis-6908	183	5	l	l	PROPN
fcis-6908	183	6	,	,	PUNCT
fcis-6908	183	7	xiong	xiong	PROPN
fcis-6908	183	8	y	y	PROPN
fcis-6908	183	9	,	,	PUNCT
fcis-6908	183	10	wang	wang	PROPN
fcis-6908	183	11	z	z	PROPN
fcis-6908	183	12	,	,	PUNCT
fcis-6908	183	13	et	et	PROPN
fcis-6908	183	14	al	al	PROPN
fcis-6908	183	15	.	.	PUNCT
fcis-6908	183	16	temporal	temporal	ADJ
fcis-6908	183	17	segment	segment	NOUN
fcis-6908	183	18	networks	network	NOUN
fcis-6908	183	19	:	:	PUNCT
fcis-6908	183	20	towards	towards	ADP
fcis-6908	183	21	good	good	ADJ
fcis-6908	183	22	practices	practice	NOUN
fcis-6908	183	23	for	for	ADP
fcis-6908	183	24	deep	deep	ADJ
fcis-6908	183	25	action	action	NOUN
fcis-6908	183	26	recognition[c	recognition[c	PROPN
fcis-6908	183	27	]	]	PUNCT
fcis-6908	183	28	.	.	PUNCT
fcis-6908	184	1	european	european	ADJ
fcis-6908	184	2	conference	conference	PROPN
fcis-6908	184	3	on	on	ADP
fcis-6908	184	4	computer	computer	NOUN
fcis-6908	184	5	vision	vision	NOUN
fcis-6908	184	6	.	.	PUNCT
fcis-6908	185	1	ieee	ieee	NOUN
fcis-6908	185	2	,	,	PUNCT
fcis-6908	185	3	2016	2016	NUM
fcis-6908	185	4	:	:	PUNCT
fcis-6908	185	5	20	20	NUM
fcis-6908	185	6	-	-	SYM
fcis-6908	185	7	36	36	NUM
fcis-6908	185	8	.	.	PUNCT
fcis-6908	186	1	[	[	X
fcis-6908	186	2	18	18	NUM
fcis-6908	186	3	]	]	X
fcis-6908	186	4	shou	shou	PROPN
fcis-6908	186	5	z	z	PROPN
fcis-6908	186	6	,	,	PUNCT
fcis-6908	186	7	wang	wang	PROPN
fcis-6908	186	8	d	d	PROPN
fcis-6908	186	9	,	,	PUNCT
fcis-6908	186	10	chang	chang	PROPN
fcis-6908	186	11	s	s	PROPN
fcis-6908	186	12	f.	f.	PROPN
fcis-6908	186	13	temporal	temporal	ADJ
fcis-6908	186	14	action	action	NOUN
fcis-6908	186	15	localization	localization	NOUN
fcis-6908	186	16	in	in	ADP
fcis-6908	186	17	untrimmed	untrimmed	ADJ
fcis-6908	186	18	videos	video	NOUN
fcis-6908	186	19	via	via	ADP
fcis-6908	186	20	multistage	multistage	NOUN
fcis-6908	186	21	cnns[c	cnns[c	NOUN
fcis-6908	186	22	]	]	PUNCT
fcis-6908	186	23	.	.	PUNCT
fcis-6908	187	1	proceedings	proceeding	NOUN
fcis-6908	187	2	of	of	ADP
fcis-6908	187	3	the	the	DET
fcis-6908	187	4	ieee	ieee	NOUN
fcis-6908	187	5	conference	conference	NOUN
fcis-6908	187	6	on	on	ADP
fcis-6908	187	7	computer	computer	NOUN
fcis-6908	187	8	vision	vision	NOUN
fcis-6908	187	9	and	and	CCONJ
fcis-6908	187	10	pattern	pattern	NOUN
fcis-6908	187	11	recognition	recognition	NOUN
fcis-6908	187	12	.	.	PUNCT
fcis-6908	188	1	ieee	ieee	NOUN
fcis-6908	188	2	,	,	PUNCT
fcis-6908	188	3	2016	2016	NUM
fcis-6908	188	4	:	:	PUNCT
fcis-6908	188	5	1049	1049	NUM
fcis-6908	188	6	-	-	SYM
fcis-6908	188	7	1058	1058	NUM
fcis-6908	188	8	.	.	PUNCT
fcis-6908	189	1	[	[	X
fcis-6908	189	2	19	19	NUM
fcis-6908	189	3	]	]	X
fcis-6908	189	4	xiong	xiong	PROPN
fcis-6908	189	5	y	y	PROPN
fcis-6908	189	6	,	,	PUNCT
fcis-6908	189	7	zhao	zhao	PROPN
fcis-6908	189	8	y	y	PROPN
fcis-6908	189	9	,	,	PUNCT
fcis-6908	189	10	wang	wang	PROPN
fcis-6908	189	11	l	l	PROPN
fcis-6908	189	12	,	,	PUNCT
fcis-6908	189	13	et	et	PROPN
fcis-6908	189	14	al	al	PROPN
fcis-6908	189	15	.	.	PUNCT
fcis-6908	190	1	a	a	DET
fcis-6908	190	2	pursuit	pursuit	NOUN
fcis-6908	190	3	of	of	ADP
fcis-6908	190	4	temporal	temporal	ADJ
fcis-6908	190	5	accuracy	accuracy	NOUN
fcis-6908	190	6	in	in	ADP
fcis-6908	190	7	general	general	ADJ
fcis-6908	190	8	activity	activity	NOUN
fcis-6908	190	9	detection[j	detection[j	PROPN
fcis-6908	190	10	/	/	SYM
fcis-6908	190	11	ol	ol	PROPN
fcis-6908	190	12	]	]	PUNCT
fcis-6908	190	13	.	.	PUNCT
fcis-6908	191	1	arxiv	arxiv	PROPN
fcis-6908	191	2	preprint	preprint	NOUN
fcis-6908	191	3	arxiv:1703.02716	arxiv:1703.02716	NOUN
fcis-6908	191	4	,	,	PUNCT
fcis-6908	191	5	2017	2017	NUM
fcis-6908	191	6	.	.	PUNCT
fcis-6908	192	1	[	[	X
fcis-6908	192	2	20	20	NUM
fcis-6908	192	3	]	]	X
fcis-6908	192	4	gao	gao	PROPN
fcis-6908	192	5	j	j	PROPN
fcis-6908	192	6	,	,	PUNCT
fcis-6908	192	7	yang	yang	PROPN
fcis-6908	192	8	z	z	PROPN
fcis-6908	192	9	,	,	PUNCT
fcis-6908	192	10	chen	chen	PROPN
fcis-6908	192	11	k	k	PROPN
fcis-6908	192	12	,	,	PUNCT
fcis-6908	192	13	et	et	PROPN
fcis-6908	192	14	al	al	PROPN
fcis-6908	192	15	.	.	PROPN
fcis-6908	192	16	turn	turn	VERB
fcis-6908	192	17	tap	tap	NOUN
fcis-6908	192	18	:	:	PUNCT
fcis-6908	192	19	temporal	temporal	ADJ
fcis-6908	192	20	unit	unit	NOUN
fcis-6908	192	21	regression	regression	NOUN
fcis-6908	192	22	network	network	NOUN
fcis-6908	192	23	for	for	ADP
fcis-6908	192	24	temporal	temporal	ADJ
fcis-6908	192	25	action	action	NOUN
fcis-6908	192	26	proposals[c	proposals[c	NOUN
fcis-6908	192	27	]	]	PUNCT
fcis-6908	192	28	.	.	PUNCT
fcis-6908	193	1	proceedings	proceeding	NOUN
fcis-6908	193	2	of	of	ADP
fcis-6908	193	3	the	the	DET
fcis-6908	193	4	ieee	ieee	NOUN
fcis-6908	193	5	international	international	PROPN
fcis-6908	193	6	conference	conference	NOUN
fcis-6908	193	7	on	on	ADP
fcis-6908	193	8	computer	computer	NOUN
fcis-6908	193	9	vision	vision	NOUN
fcis-6908	193	10	.	.	PUNCT
fcis-6908	194	1	ieee	ieee	NOUN
fcis-6908	194	2	,	,	PUNCT
fcis-6908	194	3	2017	2017	NUM
fcis-6908	194	4	:	:	PUNCT
fcis-6908	194	5	3628	3628	NUM
fcis-6908	194	6	-	-	SYM
fcis-6908	194	7	3636	3636	NUM
fcis-6908	194	8	.	.	PUNCT
fcis-6908	195	1	9	9	NUM
fcis-6908	196	1	[	[	SYM
fcis-6908	196	2	21	21	NUM
fcis-6908	196	3	]	]	X
fcis-6908	196	4	shou	shou	PROPN
fcis-6908	196	5	z	z	PROPN
fcis-6908	196	6	,	,	PUNCT
fcis-6908	196	7	chan	chan	PROPN
fcis-6908	196	8	j	j	PROPN
fcis-6908	196	9	,	,	PUNCT
fcis-6908	196	10	zareian	zareian	PROPN
fcis-6908	196	11	a	a	X
fcis-6908	196	12	,	,	PUNCT
fcis-6908	196	13	et	et	PROPN
fcis-6908	196	14	al	al	PROPN
fcis-6908	196	15	.	.	PUNCT
fcis-6908	197	1	cdc	cdc	PROPN
fcis-6908	197	2	:	:	PUNCT
fcis-6908	197	3	convolutional	convolutional	ADJ
fcis-6908	197	4	-	-	PUNCT
fcis-6908	197	5	deconvolutional	deconvolutional	ADJ
fcis-6908	197	6	networks	network	NOUN
fcis-6908	197	7	for	for	ADP
fcis-6908	197	8	precise	precise	ADJ
fcis-6908	197	9	temporal	temporal	ADJ
fcis-6908	197	10	action	action	NOUN
fcis-6908	197	11	localization	localization	NOUN
fcis-6908	197	12	in	in	ADP
fcis-6908	197	13	untrimmed	untrimmed	ADJ
fcis-6908	197	14	videos[c	videos[c	PROPN
fcis-6908	197	15	]	]	PUNCT
fcis-6908	197	16	.	.	PUNCT
fcis-6908	198	1	proceedings	proceeding	NOUN
fcis-6908	198	2	of	of	ADP
fcis-6908	198	3	the	the	DET
fcis-6908	198	4	ieee	ieee	NOUN
fcis-6908	198	5	conference	conference	NOUN
fcis-6908	198	6	on	on	ADP
fcis-6908	198	7	computer	computer	NOUN
fcis-6908	198	8	vision	vision	NOUN
fcis-6908	198	9	and	and	CCONJ
fcis-6908	198	10	pattern	pattern	NOUN
fcis-6908	198	11	recognition	recognition	NOUN
fcis-6908	198	12	.	.	PUNCT
fcis-6908	199	1	ieee	ieee	NOUN
fcis-6908	199	2	,	,	PUNCT
fcis-6908	199	3	2017	2017	NUM
fcis-6908	199	4	:	:	PUNCT
fcis-6908	199	5	5734	5734	NUM
fcis-6908	199	6	-	-	SYM
fcis-6908	199	7	5743	5743	NUM
fcis-6908	199	8	.	.	PUNCT
fcis-6908	200	1	[	[	X
fcis-6908	200	2	22	22	NUM
fcis-6908	200	3	]	]	X
fcis-6908	200	4	zhao	zhao	PROPN
fcis-6908	200	5	y	y	PROPN
fcis-6908	200	6	,	,	PUNCT
fcis-6908	200	7	xiong	xiong	PROPN
fcis-6908	200	8	y	y	PROPN
fcis-6908	200	9	,	,	PUNCT
fcis-6908	200	10	wang	wang	PROPN
fcis-6908	200	11	l	l	PROPN
fcis-6908	200	12	,	,	PUNCT
fcis-6908	200	13	et	et	PROPN
fcis-6908	200	14	al	al	PROPN
fcis-6908	200	15	.	.	PUNCT
fcis-6908	200	16	temporal	temporal	ADJ
fcis-6908	200	17	action	action	NOUN
fcis-6908	200	18	detection	detection	NOUN
fcis-6908	200	19	with	with	ADP
fcis-6908	200	20	structured	structured	ADJ
fcis-6908	200	21	segment	segment	NOUN
fcis-6908	200	22	networks[c	networks[c	PROPN
fcis-6908	200	23	]	]	PUNCT
fcis-6908	200	24	.	.	PUNCT
fcis-6908	201	1	proceedings	proceeding	NOUN
fcis-6908	201	2	of	of	ADP
fcis-6908	201	3	the	the	DET
fcis-6908	201	4	ieee	ieee	NOUN
fcis-6908	201	5	international	international	PROPN
fcis-6908	201	6	conference	conference	NOUN
fcis-6908	201	7	on	on	ADP
fcis-6908	201	8	computer	computer	NOUN
fcis-6908	201	9	vision	vision	NOUN
fcis-6908	201	10	.	.	PUNCT
fcis-6908	202	1	ieee	ieee	NOUN
fcis-6908	202	2	,	,	PUNCT
fcis-6908	202	3	2017:2914	2017:2914	NUM
fcis-6908	202	4	-	-	SYM
fcis-6908	202	5	2923	2923	NUM
fcis-6908	202	6	.	.	PUNCT
fcis-6908	203	1	[	[	X
fcis-6908	203	2	23	23	NUM
fcis-6908	203	3	]	]	X
fcis-6908	203	4	qiu	qiu	PROPN
fcis-6908	203	5	h	h	PROPN
fcis-6908	203	6	,	,	PUNCT
fcis-6908	203	7	zheng	zheng	PROPN
fcis-6908	203	8	y	y	PROPN
fcis-6908	203	9	,	,	PUNCT
fcis-6908	203	10	ye	ye	PRON
fcis-6908	203	11	h	h	NOUN
fcis-6908	203	12	,	,	PUNCT
fcis-6908	203	13	et	et	PROPN
fcis-6908	203	14	al	al	PROPN
fcis-6908	203	15	.	.	PROPN
fcis-6908	204	1	precise	precise	ADJ
fcis-6908	204	2	temporal	temporal	ADJ
fcis-6908	204	3	action	action	NOUN
fcis-6908	204	4	localization	localization	NOUN
fcis-6908	204	5	by	by	ADP
fcis-6908	204	6	evolving	evolve	VERB
fcis-6908	204	7	temporal	temporal	ADJ
fcis-6908	204	8	proposals[c	proposals[c	NOUN
fcis-6908	204	9	]	]	PUNCT
fcis-6908	204	10	.	.	PUNCT
fcis-6908	205	1	proceedings	proceeding	NOUN
fcis-6908	205	2	of	of	ADP
fcis-6908	205	3	the	the	DET
fcis-6908	205	4	2018	2018	NUM
fcis-6908	205	5	acm	acm	NOUN
fcis-6908	205	6	on	on	ADP
fcis-6908	205	7	international	international	ADJ
fcis-6908	205	8	conference	conference	NOUN
fcis-6908	205	9	on	on	ADP
fcis-6908	205	10	multimedia	multimedia	NOUN
fcis-6908	205	11	retrieval	retrieval	NOUN
fcis-6908	205	12	.	.	PUNCT
fcis-6908	206	1	acm	acm	PROPN
fcis-6908	206	2	,	,	PUNCT
fcis-6908	206	3	2018:388	2018:388	NUM
fcis-6908	206	4	-	-	SYM
fcis-6908	206	5	396	396	NUM
fcis-6908	206	6	.	.	PUNCT
fcis-6908	207	1	[	[	X
fcis-6908	207	2	24	24	NUM
fcis-6908	207	3	]	]	X
fcis-6908	207	4	ren	ren	PROPN
fcis-6908	207	5	s	s	PROPN
fcis-6908	207	6	,	,	PUNCT
fcis-6908	207	7	he	he	PRON
fcis-6908	207	8	k	k	NOUN
fcis-6908	207	9	,	,	PUNCT
fcis-6908	207	10	girshick	girshick	ADJ
fcis-6908	207	11	r	r	NOUN
fcis-6908	207	12	,	,	PUNCT
fcis-6908	207	13	et	et	PROPN
fcis-6908	207	14	al	al	PROPN
fcis-6908	207	15	.	.	PUNCT
fcis-6908	208	1	faster	fast	ADJ
fcis-6908	208	2	r	r	NOUN
fcis-6908	208	3	-	-	PUNCT
fcis-6908	208	4	cnn	cnn	NOUN
fcis-6908	208	5	:	:	PUNCT
fcis-6908	208	6	towards	towards	ADP
fcis-6908	208	7	realtime	realtime	ADJ
fcis-6908	208	8	object	object	NOUN
fcis-6908	208	9	detection	detection	NOUN
fcis-6908	208	10	with	with	ADP
fcis-6908	208	11	region	region	NOUN
fcis-6908	208	12	proposal	proposal	NOUN
fcis-6908	208	13	networks[c	networks[c	PROPN
fcis-6908	208	14	]	]	PUNCT
fcis-6908	208	15	.	.	PUNCT
fcis-6908	209	1	advances	advance	NOUN
fcis-6908	209	2	in	in	ADP
fcis-6908	209	3	neural	neural	ADJ
fcis-6908	209	4	information	information	NOUN
fcis-6908	209	5	processing	processing	NOUN
fcis-6908	209	6	systems	system	NOUN
fcis-6908	209	7	.	.	PUNCT
fcis-6908	210	1	ieee	ieee	NOUN
fcis-6908	210	2	,	,	PUNCT
fcis-6908	210	3	2015	2015	NUM
fcis-6908	210	4	:	:	PUNCT
fcis-6908	210	5	91	91	NUM
fcis-6908	210	6	-	-	SYM
fcis-6908	210	7	99	99	NUM
fcis-6908	210	8	.	.	PUNCT
fcis-6908	211	1	[	[	X
fcis-6908	211	2	25	25	NUM
fcis-6908	211	3	]	]	X
fcis-6908	211	4	gao	gao	PROPN
fcis-6908	211	5	j	j	PROPN
fcis-6908	211	6	,	,	PUNCT
fcis-6908	211	7	yang	yang	PROPN
fcis-6908	211	8	z	z	PROPN
fcis-6908	211	9	,	,	PUNCT
fcis-6908	211	10	nevatia	nevatia	PROPN
fcis-6908	211	11	r.	r.	PROPN
fcis-6908	211	12	cascaded	cascade	VERB
fcis-6908	211	13	boundary	boundary	ADJ
fcis-6908	211	14	regression	regression	NOUN
fcis-6908	211	15	for	for	ADP
fcis-6908	211	16	temporal	temporal	ADJ
fcis-6908	211	17	action	action	NOUN
fcis-6908	211	18	detection[j	detection[j	PROPN
fcis-6908	211	19	/	/	SYM
fcis-6908	211	20	ol	ol	PROPN
fcis-6908	211	21	]	]	PUNCT
fcis-6908	211	22	.	.	PUNCT
fcis-6908	212	1	arxiv	arxiv	PROPN
fcis-6908	212	2	preprint	preprint	PROPN
fcis-6908	212	3	arxiv:1705.01180	arxiv:1705.01180	NOUN
fcis-6908	212	4	,	,	PUNCT
fcis-6908	212	5	2017	2017	NUM
fcis-6908	212	6	.	.	PUNCT
fcis-6908	213	1	[	[	X
fcis-6908	213	2	26	26	NUM
fcis-6908	213	3	]	]	PUNCT
fcis-6908	213	4	xu	xu	PROPN
fcis-6908	213	5	h	h	PROPN
fcis-6908	213	6	,	,	PUNCT
fcis-6908	213	7	das	das	PROPN
fcis-6908	213	8	a	a	PRON
fcis-6908	213	9	,	,	PUNCT
fcis-6908	213	10	saenko	saenko	ADJ
fcis-6908	213	11	k.	k.	NOUN
fcis-6908	214	1	r	r	X
fcis-6908	214	2	-	-	PUNCT
fcis-6908	214	3	c3d	c3d	NOUN
fcis-6908	214	4	:	:	PUNCT
fcis-6908	214	5	region	region	NOUN
fcis-6908	214	6	convolutional	convolutional	ADJ
fcis-6908	214	7	3d	3d	PROPN
fcis-6908	214	8	network	network	NOUN
fcis-6908	214	9	for	for	ADP
fcis-6908	214	10	temporal	temporal	ADJ
fcis-6908	214	11	activity	activity	NOUN
fcis-6908	214	12	detection[c	detection[c	VERB
fcis-6908	214	13	]	]	PUNCT
fcis-6908	214	14	.	.	PUNCT
fcis-6908	215	1	proceedings	proceeding	NOUN
fcis-6908	215	2	of	of	ADP
fcis-6908	215	3	the	the	DET
fcis-6908	215	4	ieee	ieee	NOUN
fcis-6908	215	5	international	international	PROPN
fcis-6908	215	6	conference	conference	NOUN
fcis-6908	215	7	on	on	ADP
fcis-6908	215	8	computer	computer	NOUN
fcis-6908	215	9	vision	vision	NOUN
fcis-6908	215	10	.	.	PUNCT
fcis-6908	216	1	ieee	ieee	NOUN
fcis-6908	216	2	,	,	PUNCT
fcis-6908	216	3	2017	2017	NUM
fcis-6908	216	4	:	:	SYM
fcis-6908	216	5	5783	5783	NUM
fcis-6908	216	6	-	-	SYM
fcis-6908	216	7	5792	5792	NUM
fcis-6908	216	8	.	.	PUNCT
fcis-6908	217	1	[	[	X
fcis-6908	217	2	27	27	NUM
fcis-6908	217	3	]	]	X
fcis-6908	217	4	chao	chao	PROPN
fcis-6908	217	5	y	y	PROPN
fcis-6908	217	6	w	w	PROPN
fcis-6908	217	7	,	,	PUNCT
fcis-6908	217	8	vijayanarasimhan	vijayanarasimhan	PROPN
fcis-6908	217	9	s	s	PROPN
fcis-6908	217	10	,	,	PUNCT
fcis-6908	217	11	seybold	seybold	NOUN
fcis-6908	217	12	b	b	NOUN
fcis-6908	217	13	,	,	PUNCT
fcis-6908	217	14	et	et	PROPN
fcis-6908	217	15	al	al	PROPN
fcis-6908	217	16	.	.	PUNCT
fcis-6908	218	1	rethinking	rethink	VERB
fcis-6908	218	2	the	the	DET
fcis-6908	218	3	faster	fast	ADJ
fcis-6908	218	4	r	r	NOUN
fcis-6908	218	5	-	-	PUNCT
fcis-6908	218	6	cnn	cnn	NOUN
fcis-6908	218	7	architecture	architecture	NOUN
fcis-6908	218	8	for	for	ADP
fcis-6908	218	9	temporal	temporal	ADJ
fcis-6908	218	10	action	action	NOUN
fcis-6908	218	11	localization[c	localization[c	PROPN
fcis-6908	218	12	]	]	PUNCT
fcis-6908	218	13	.	.	PUNCT
fcis-6908	219	1	proceedings	proceeding	NOUN
fcis-6908	219	2	of	of	ADP
fcis-6908	219	3	the	the	DET
fcis-6908	219	4	ieee	ieee	NOUN
fcis-6908	219	5	conference	conference	NOUN
fcis-6908	219	6	on	on	ADP
fcis-6908	219	7	computer	computer	NOUN
fcis-6908	219	8	vision	vision	NOUN
fcis-6908	219	9	and	and	CCONJ
fcis-6908	219	10	pattern	pattern	NOUN
fcis-6908	219	11	recognition	recognition	NOUN
fcis-6908	219	12	.	.	PUNCT
fcis-6908	220	1	ieee	ieee	NOUN
fcis-6908	220	2	,	,	PUNCT
fcis-6908	220	3	2018:11301139	2018:11301139	NUM
fcis-6908	220	4	.	.	PUNCT
fcis-6908	221	1	[	[	X
fcis-6908	221	2	28	28	NUM
fcis-6908	221	3	]	]	X
fcis-6908	221	4	gao	gao	PROPN
fcis-6908	221	5	j	j	PROPN
fcis-6908	221	6	,	,	PUNCT
fcis-6908	221	7	chen	chen	PROPN
fcis-6908	221	8	k	k	PROPN
fcis-6908	221	9	,	,	PUNCT
fcis-6908	221	10	nevatia	nevatia	PROPN
fcis-6908	221	11	r.	r.	PROPN
fcis-6908	221	12	ctap	ctap	PROPN
fcis-6908	221	13	:	:	PUNCT
fcis-6908	221	14	complementary	complementary	ADJ
fcis-6908	221	15	temporal	temporal	ADJ
fcis-6908	221	16	action	action	NOUN
fcis-6908	221	17	proposal	proposal	NOUN
fcis-6908	221	18	generation[c	generation[c	VERB
fcis-6908	221	19	]	]	PUNCT
fcis-6908	221	20	.	.	PUNCT
fcis-6908	222	1	proceedings	proceeding	NOUN
fcis-6908	222	2	of	of	ADP
fcis-6908	222	3	the	the	DET
fcis-6908	222	4	european	european	PROPN
fcis-6908	222	5	conference	conference	PROPN
fcis-6908	222	6	on	on	ADP
fcis-6908	222	7	computer	computer	NOUN
fcis-6908	222	8	vision	vision	NOUN
fcis-6908	222	9	.	.	PUNCT
fcis-6908	223	1	ieee	ieee	NOUN
fcis-6908	223	2	,	,	PUNCT
fcis-6908	223	3	2018	2018	NUM
fcis-6908	223	4	:	:	PUNCT
fcis-6908	223	5	68	68	NUM
fcis-6908	223	6	-	-	SYM
fcis-6908	223	7	83	83	NUM
fcis-6908	223	8	.	.	PUNCT
fcis-6908	224	1	[	[	X
fcis-6908	224	2	29	29	NUM
fcis-6908	224	3	]	]	X
fcis-6908	224	4	lin	lin	PROPN
fcis-6908	224	5	t	t	PROPN
fcis-6908	224	6	,	,	PUNCT
fcis-6908	224	7	zhao	zhao	PROPN
fcis-6908	224	8	x	x	PROPN
fcis-6908	224	9	,	,	PUNCT
fcis-6908	224	10	su	su	PROPN
fcis-6908	224	11	h	h	PROPN
fcis-6908	224	12	,	,	PUNCT
fcis-6908	224	13	et	et	PROPN
fcis-6908	224	14	al	al	PROPN
fcis-6908	224	15	.	.	PUNCT
fcis-6908	225	1	bsn	bsn	PROPN
fcis-6908	225	2	:	:	PUNCT
fcis-6908	225	3	boundary	boundary	ADJ
fcis-6908	225	4	sensitive	sensitive	ADJ
fcis-6908	225	5	network	network	NOUN
fcis-6908	225	6	for	for	ADP
fcis-6908	225	7	temporal	temporal	ADJ
fcis-6908	225	8	action	action	NOUN
fcis-6908	225	9	proposal	proposal	NOUN
fcis-6908	225	10	generation[c	generation[c	VERB
fcis-6908	225	11	]	]	PUNCT
fcis-6908	225	12	.	.	PUNCT
fcis-6908	226	1	proceedings	proceeding	NOUN
fcis-6908	226	2	of	of	ADP
fcis-6908	226	3	the	the	DET
fcis-6908	226	4	european	european	PROPN
fcis-6908	226	5	conference	conference	PROPN
fcis-6908	226	6	on	on	ADP
fcis-6908	226	7	computer	computer	NOUN
fcis-6908	226	8	vision	vision	NOUN
fcis-6908	226	9	.	.	PUNCT
fcis-6908	227	1	ieee,2018:3	ieee,2018:3	ADJ
fcis-6908	227	2	-	-	PUNCT
fcis-6908	227	3	19	19	NUM
fcis-6908	227	4	.	.	PUNCT
fcis-6908	228	1	[	[	X
fcis-6908	228	2	30	30	NUM
fcis-6908	228	3	]	]	X
fcis-6908	228	4	lin	lin	PROPN
fcis-6908	228	5	t	t	PROPN
fcis-6908	228	6	,	,	PUNCT
fcis-6908	228	7	liu	liu	PROPN
fcis-6908	228	8	x	x	PROPN
fcis-6908	228	9	,	,	PUNCT
fcis-6908	228	10	li	li	PROPN
fcis-6908	228	11	x	x	PROPN
fcis-6908	228	12	,	,	PUNCT
fcis-6908	228	13	et	et	PROPN
fcis-6908	228	14	al	al	PROPN
fcis-6908	228	15	.	.	PROPN
fcis-6908	228	16	bmn	bmn	PROPN
fcis-6908	228	17	:	:	PUNCT
fcis-6908	228	18	boundary	boundary	ADJ
fcis-6908	228	19	-	-	PUNCT
fcis-6908	228	20	matching	match	VERB
fcis-6908	228	21	network	network	NOUN
fcis-6908	228	22	for	for	ADP
fcis-6908	228	23	temporal	temporal	ADJ
fcis-6908	228	24	action	action	NOUN
fcis-6908	228	25	proposal	proposal	NOUN
fcis-6908	228	26	generation[c	generation[c	VERB
fcis-6908	228	27	]	]	PUNCT
fcis-6908	228	28	.	.	PUNCT
fcis-6908	229	1	proceedings	proceeding	NOUN
fcis-6908	229	2	of	of	ADP
fcis-6908	229	3	the	the	DET
fcis-6908	229	4	ieee	ieee	NOUN
fcis-6908	229	5	international	international	PROPN
fcis-6908	229	6	conference	conference	NOUN
fcis-6908	229	7	on	on	ADP
fcis-6908	229	8	computer	computer	NOUN
fcis-6908	229	9	vision.ieee	vision.ieee	NOUN
fcis-6908	229	10	,	,	PUNCT
fcis-6908	229	11	2019:3889	2019:3889	NUM
fcis-6908	229	12	-	-	SYM
fcis-6908	229	13	3898	3898	NUM
fcis-6908	229	14	.	.	PUNCT
fcis-6908	230	1	[	[	X
fcis-6908	230	2	31	31	NUM
fcis-6908	230	3	]	]	PUNCT
fcis-6908	230	4	yeung	yeung	PROPN
fcis-6908	230	5	s	s	PROPN
fcis-6908	230	6	,	,	PUNCT
fcis-6908	230	7	russakovsky	russakovsky	ADJ
fcis-6908	230	8	o	o	PROPN
fcis-6908	230	9	,	,	PUNCT
fcis-6908	230	10	mori	mori	NOUN
fcis-6908	230	11	g	g	PROPN
fcis-6908	230	12	,	,	PUNCT
fcis-6908	230	13	et	et	PROPN
fcis-6908	230	14	al	al	PROPN
fcis-6908	230	15	.	.	PROPN
fcis-6908	230	16	end	end	PROPN
fcis-6908	230	17	-	-	PUNCT
fcis-6908	230	18	to	to	ADP
fcis-6908	230	19	-	-	PUNCT
fcis-6908	230	20	end	end	NOUN
fcis-6908	230	21	learning	learning	NOUN
fcis-6908	230	22	of	of	ADP
fcis-6908	230	23	action	action	NOUN
fcis-6908	230	24	detection	detection	NOUN
fcis-6908	230	25	from	from	ADP
fcis-6908	230	26	frame	frame	NOUN
fcis-6908	230	27	glimpses	glimpse	NOUN
fcis-6908	230	28	in	in	ADP
fcis-6908	230	29	videos[c	videos[c	PROPN
fcis-6908	230	30	]	]	PUNCT
fcis-6908	230	31	.	.	PUNCT
fcis-6908	231	1	proceedings	proceeding	NOUN
fcis-6908	231	2	of	of	ADP
fcis-6908	231	3	the	the	DET
fcis-6908	231	4	ieee	ieee	NOUN
fcis-6908	231	5	conference	conference	NOUN
fcis-6908	231	6	on	on	ADP
fcis-6908	231	7	computer	computer	NOUN
fcis-6908	231	8	vision	vision	NOUN
fcis-6908	231	9	and	and	CCONJ
fcis-6908	231	10	pattern	pattern	NOUN
fcis-6908	231	11	recognition	recognition	NOUN
fcis-6908	231	12	.	.	PUNCT
fcis-6908	232	1	ieee	ieee	NOUN
fcis-6908	232	2	,	,	PUNCT
fcis-6908	232	3	2016	2016	NUM
fcis-6908	232	4	:	:	PUNCT
fcis-6908	232	5	2678	2678	NUM
fcis-6908	232	6	-	-	SYM
fcis-6908	232	7	2687	2687	NUM
fcis-6908	232	8	.	.	PUNCT
fcis-6908	233	1	[	[	X
fcis-6908	233	2	32	32	NUM
fcis-6908	233	3	]	]	X
fcis-6908	233	4	lin	lin	PROPN
fcis-6908	233	5	t	t	PROPN
fcis-6908	233	6	,	,	PUNCT
fcis-6908	233	7	zhao	zhao	PROPN
fcis-6908	233	8	x	x	PROPN
fcis-6908	233	9	,	,	PUNCT
fcis-6908	233	10	shou	shou	PROPN
fcis-6908	233	11	z.	z.	PROPN
fcis-6908	233	12	single	single	PROPN
fcis-6908	233	13	shot	shoot	VERB
fcis-6908	233	14	temporal	temporal	ADJ
fcis-6908	233	15	action	action	NOUN
fcis-6908	233	16	detection[c	detection[c	VERB
fcis-6908	233	17	]	]	PUNCT
fcis-6908	233	18	.	.	PUNCT
fcis-6908	234	1	proceedings	proceeding	NOUN
fcis-6908	234	2	of	of	ADP
fcis-6908	234	3	the	the	DET
fcis-6908	234	4	25th	25th	ADJ
fcis-6908	234	5	acm	acm	PROPN
fcis-6908	234	6	international	international	ADJ
fcis-6908	234	7	conference	conference	NOUN
fcis-6908	234	8	on	on	ADP
fcis-6908	234	9	multimedia	multimedia	NOUN
fcis-6908	234	10	.	.	PUNCT
fcis-6908	235	1	ieee	ieee	NOUN
fcis-6908	235	2	,	,	PUNCT
fcis-6908	235	3	2017	2017	NUM
fcis-6908	235	4	:	:	PUNCT
fcis-6908	235	5	988	988	NUM
fcis-6908	235	6	-	-	SYM
fcis-6908	235	7	996	996	NUM
fcis-6908	235	8	.	.	PUNCT
fcis-6908	236	1	[	[	X
fcis-6908	236	2	33	33	NUM
fcis-6908	236	3	]	]	X
fcis-6908	236	4	liu	liu	PROPN
fcis-6908	236	5	w	w	PROPN
fcis-6908	236	6	,	,	PUNCT
fcis-6908	236	7	anguelov	anguelov	NOUN
fcis-6908	236	8	d	d	NOUN
fcis-6908	236	9	,	,	PUNCT
fcis-6908	236	10	erhan	erhan	ADP
fcis-6908	236	11	d	d	PROPN
fcis-6908	236	12	,	,	PUNCT
fcis-6908	236	13	et	et	PROPN
fcis-6908	236	14	al	al	PROPN
fcis-6908	236	15	.	.	PROPN
fcis-6908	236	16	ssd	ssd	PROPN
fcis-6908	236	17	:	:	PUNCT
fcis-6908	236	18	single	single	ADJ
fcis-6908	236	19	shot	shot	NOUN
fcis-6908	236	20	multibox	multibox	PROPN
fcis-6908	236	21	detector[c	detector[c	PROPN
fcis-6908	236	22	]	]	PUNCT
fcis-6908	236	23	.	.	PUNCT
fcis-6908	237	1	european	european	ADJ
fcis-6908	237	2	conference	conference	PROPN
fcis-6908	237	3	on	on	ADP
fcis-6908	237	4	computer	computer	NOUN
fcis-6908	237	5	vision	vision	NOUN
fcis-6908	237	6	.	.	PUNCT
fcis-6908	238	1	ieee	ieee	NOUN
fcis-6908	238	2	,	,	PUNCT
fcis-6908	238	3	2016	2016	NUM
fcis-6908	238	4	:	:	PUNCT
fcis-6908	238	5	21	21	NUM
fcis-6908	238	6	-	-	SYM
fcis-6908	238	7	37	37	NUM
fcis-6908	238	8	.	.	PUNCT
fcis-6908	239	1	[	[	X
fcis-6908	239	2	34	34	NUM
fcis-6908	239	3	]	]	X
fcis-6908	239	4	huang	huang	PROPN
fcis-6908	239	5	y	y	PROPN
fcis-6908	239	6	,	,	PUNCT
fcis-6908	239	7	dai	dai	PROPN
fcis-6908	239	8	q	q	PROPN
fcis-6908	239	9	,	,	PUNCT
fcis-6908	239	10	lu	lu	PROPN
fcis-6908	239	11	y.	y.	NOUN
fcis-6908	239	12	decoupling	decouple	VERB
fcis-6908	239	13	localization	localization	NOUN
fcis-6908	239	14	and	and	CCONJ
fcis-6908	239	15	classification	classification	NOUN
fcis-6908	239	16	in	in	ADP
fcis-6908	239	17	single	single	ADJ
fcis-6908	239	18	shot	shot	ADJ
fcis-6908	239	19	temporal	temporal	ADJ
fcis-6908	239	20	action	action	NOUN
fcis-6908	239	21	detection[c	detection[c	VERB
fcis-6908	239	22	]	]	PUNCT
fcis-6908	239	23	.	.	PUNCT
fcis-6908	240	1	ieee	ieee	PROPN
fcis-6908	240	2	international	international	PROPN
fcis-6908	240	3	conference	conference	NOUN
fcis-6908	240	4	on	on	ADP
fcis-6908	240	5	multimedia	multimedia	NOUN
fcis-6908	240	6	and	and	CCONJ
fcis-6908	240	7	expo	expo	NOUN
fcis-6908	240	8	.	.	PUNCT
fcis-6908	241	1	ieee	ieee	PROPN
fcis-6908	241	2	,	,	PUNCT
fcis-6908	241	3	2019	2019	NUM
fcis-6908	241	4	:	:	SYM
fcis-6908	241	5	1288	1288	NUM
fcis-6908	241	6	-	-	SYM
fcis-6908	241	7	1293	1293	NUM
fcis-6908	241	8	.	.	PUNCT
fcis-6908	242	1	[	[	X
fcis-6908	242	2	35	35	NUM
fcis-6908	242	3	]	]	X
fcis-6908	242	4	lin	lin	PROPN
fcis-6908	242	5	t	t	PROPN
fcis-6908	242	6	w	w	PROPN
fcis-6908	242	7	,	,	PUNCT
fcis-6908	242	8	zhao	zhao	PROPN
fcis-6908	242	9	x	x	PROPN
fcis-6908	242	10	,	,	PUNCT
fcis-6908	242	11	shou	shou	PROPN
fcis-6908	242	12	z.	z.	PROPN
fcis-6908	242	13	single	single	PROPN
fcis-6908	242	14	shot	shoot	VERB
fcis-6908	242	15	temporal	temporal	ADJ
fcis-6908	242	16	action	action	NOUN
fcis-6908	242	17	detection[c	detection[c	VERB
fcis-6908	242	18	]	]	PUNCT
fcis-6908	242	19	.	.	PUNCT
fcis-6908	243	1	mountain	mountain	NOUN
fcis-6908	243	2	view	view	NOUN
fcis-6908	243	3	:	:	PUNCT
fcis-6908	243	4	25th	25th	NOUN
fcis-6908	243	5	acm	acm	PROPN
fcis-6908	243	6	international	international	ADJ
fcis-6908	243	7	conference	conference	NOUN
fcis-6908	243	8	on	on	ADP
fcis-6908	243	9	multimedia	multimedia	NOUN
fcis-6908	243	10	,	,	PUNCT
fcis-6908	243	11	2017	2017	NUM
fcis-6908	243	12	:	:	PUNCT
fcis-6908	243	13	988	988	NUM
fcis-6908	243	14	-	-	SYM
fcis-6908	243	15	996	996	NUM
fcis-6908	243	16	.	.	PUNCT
fcis-6908	244	1	[	[	X
fcis-6908	244	2	36	36	NUM
fcis-6908	244	3	]	]	PUNCT
fcis-6908	244	4	buch	buch	PROPN
fcis-6908	244	5	s	s	PROPN
fcis-6908	244	6	,	,	PUNCT
fcis-6908	244	7	escoricia	escoricia	NOUN
fcis-6908	244	8	v	v	NOUN
fcis-6908	244	9	,	,	PUNCT
fcis-6908	244	10	ghanem	ghanem	PROPN
fcis-6908	244	11	b	b	PROPN
fcis-6908	244	12	,	,	PUNCT
fcis-6908	244	13	et	et	PROPN
fcis-6908	244	14	al	al	PROPN
fcis-6908	244	15	.	.	PROPN
fcis-6908	244	16	end	end	PROPN
fcis-6908	244	17	-	-	PUNCT
fcis-6908	244	18	to	to	ADP
fcis-6908	244	19	-	-	PUNCT
fcis-6908	244	20	end	end	NOUN
fcis-6908	244	21	,	,	PUNCT
fcis-6908	244	22	singlestream	singlestream	VERB
fcis-6908	244	23	temporal	temporal	ADJ
fcis-6908	244	24	action	action	NOUN
fcis-6908	244	25	detection	detection	NOUN
fcis-6908	244	26	in	in	ADP
fcis-6908	244	27	untrimmed	untrimmed	ADJ
fcis-6908	244	28	videos[c	videos[c	PROPN
fcis-6908	244	29	]	]	PUNCT
fcis-6908	244	30	.	.	PUNCT
fcis-6908	245	1	london	london	PROPN
fcis-6908	245	2	:	:	PUNCT
fcis-6908	245	3	28th	28th	ADJ
fcis-6908	245	4	british	british	ADJ
fcis-6908	245	5	machine	machine	NOUN
fcis-6908	245	6	vision	vision	PROPN
fcis-6908	245	7	conference	conference	PROPN
fcis-6908	245	8	,	,	PUNCT
fcis-6908	245	9	2017	2017	NUM
fcis-6908	245	10	:	:	SYM
fcis-6908	245	11	213225	213225	NUM
fcis-6908	245	12	.	.	PUNCT
fcis-6908	246	1	[	[	X
fcis-6908	246	2	37	37	NUM
fcis-6908	246	3	]	]	PUNCT
fcis-6908	246	4	yeung	yeung	PROPN
fcis-6908	246	5	s	s	PROPN
fcis-6908	246	6	,	,	PUNCT
fcis-6908	246	7	russakovsky	russakovsky	ADJ
fcis-6908	246	8	o	o	PROPN
fcis-6908	246	9	,	,	PUNCT
fcis-6908	246	10	mori	mori	NOUN
fcis-6908	246	11	g	g	PROPN
fcis-6908	246	12	,	,	PUNCT
fcis-6908	246	13	et	et	PROPN
fcis-6908	246	14	al	al	PROPN
fcis-6908	246	15	.	.	PROPN
fcis-6908	246	16	end	end	PROPN
fcis-6908	246	17	-	-	PUNCT
fcis-6908	246	18	to	to	ADP
fcis-6908	246	19	-	-	PUNCT
fcis-6908	246	20	end	end	NOUN
fcis-6908	246	21	learning	learning	NOUN
fcis-6908	246	22	of	of	ADP
fcis-6908	246	23	action	action	NOUN
fcis-6908	246	24	detection	detection	NOUN
fcis-6908	246	25	from	from	ADP
fcis-6908	246	26	frame	frame	NOUN
fcis-6908	246	27	glimpses	glimpse	NOUN
fcis-6908	246	28	in	in	ADP
fcis-6908	246	29	videos[c	videos[c	PROPN
fcis-6908	246	30	]	]	PUNCT
fcis-6908	246	31	.	.	PUNCT
fcis-6908	247	1	las	las	PROPN
fcis-6908	247	2	vegas	vegas	PROPN
fcis-6908	247	3	:	:	PUNCT
fcis-6908	247	4	29th	29th	ADJ
fcis-6908	247	5	ieee	ieee	NOUN
fcis-6908	247	6	conference	conference	NOUN
fcis-6908	247	7	on	on	ADP
fcis-6908	247	8	computer	computer	NOUN
fcis-6908	247	9	vision	vision	NOUN
fcis-6908	247	10	and	and	CCONJ
fcis-6908	247	11	pattern	pattern	NOUN
fcis-6908	247	12	recognition	recognition	NOUN
fcis-6908	247	13	,	,	PUNCT
fcis-6908	247	14	2016	2016	NUM
fcis-6908	247	15	:	:	PUNCT
fcis-6908	247	16	2678	2678	NUM
fcis-6908	247	17	-	-	SYM
fcis-6908	247	18	2687	2687	NUM
fcis-6908	247	19	.	.	PUNCT
fcis-6908	248	1	[	[	X
fcis-6908	248	2	38	38	NUM
fcis-6908	248	3	]	]	PUNCT
fcis-6908	248	4	huang	huang	PROPN
fcis-6908	248	5	y	y	PROPN
fcis-6908	248	6	p	p	PROPN
fcis-6908	248	7	,	,	PUNCT
fcis-6908	248	8	dai	dai	PROPN
fcis-6908	248	9	q	q	PROPN
fcis-6908	248	10	,	,	PUNCT
fcis-6908	248	11	lu	lu	VERB
fcis-6908	248	12	y	y	PROPN
fcis-6908	248	13	t.	t.	NOUN
fcis-6908	248	14	decoupling	decouple	VERB
fcis-6908	248	15	localization	localization	NOUN
fcis-6908	248	16	and	and	CCONJ
fcis-6908	248	17	classification	classification	NOUN
fcis-6908	248	18	in	in	ADP
fcis-6908	248	19	single	single	ADJ
fcis-6908	248	20	shot	shot	ADJ
fcis-6908	248	21	temporal	temporal	ADJ
fcis-6908	248	22	action	action	NOUN
fcis-6908	248	23	detection[c	detection[c	VERB
fcis-6908	248	24	]	]	PUNCT
fcis-6908	248	25	.	.	PUNCT
fcis-6908	249	1	shanghai	shanghai	PROPN
fcis-6908	249	2	:	:	PUNCT
fcis-6908	249	3	2019	2019	NUM
fcis-6908	249	4	ieee	ieee	PROPN
fcis-6908	249	5	international	international	ADJ
fcis-6908	249	6	conference	conference	NOUN
fcis-6908	249	7	on	on	ADP
fcis-6908	249	8	multimedia	multimedia	NOUN
fcis-6908	249	9	and	and	CCONJ
fcis-6908	249	10	expo	expo	NOUN
fcis-6908	249	11	,	,	PUNCT
fcis-6908	249	12	2019	2019	NUM
fcis-6908	249	13	:	:	SYM
fcis-6908	249	14	1288	1288	NUM
fcis-6908	249	15	-	-	SYM
fcis-6908	249	16	1293	1293	NUM
fcis-6908	249	17	.	.	PUNCT