id	sid	tid	token	lemma	pos
ajst-27334	1	1	academic	academic	ADJ
ajst-27334	1	2	journal	journal	NOUN
ajst-27334	1	3	of	of	ADP
ajst-27334	1	4	science	science	NOUN
ajst-27334	1	5	and	and	CCONJ
ajst-27334	1	6	technology	technology	NOUN
ajst-27334	1	7	issn	issn	NOUN
ajst-27334	1	8	:	:	PUNCT
ajst-27334	1	9	2771	2771	NUM
ajst-27334	1	10	-	-	SYM
ajst-27334	1	11	3032	3032	NUM
ajst-27334	1	12	|	|	NOUN
ajst-27334	1	13	vol	vol	NOUN
ajst-27334	1	14	.	.	PROPN
ajst-27334	1	15	13	13	NUM
ajst-27334	1	16	,	,	PUNCT
ajst-27334	1	17	no	no	INTJ
ajst-27334	1	18	.	.	NOUN
ajst-27334	1	19	2	2	NUM
ajst-27334	1	20	,	,	PUNCT
ajst-27334	1	21	2024	2024	NUM
ajst-27334	1	22	139	139	NUM
ajst-27334	1	23	research	research	NOUN
ajst-27334	1	24	on	on	ADP
ajst-27334	1	25	gait	gait	ADJ
ajst-27334	1	26	recognition	recognition	NOUN
ajst-27334	1	27	based	base	VERB
ajst-27334	1	28	on	on	ADP
ajst-27334	1	29	deep	deep	ADJ
ajst-27334	1	30	transfer	transfer	NOUN
ajst-27334	1	31	features	feature	VERB
ajst-27334	1	32	xuedong	xuedong	PROPN
ajst-27334	1	33	yu	yu	PROPN
ajst-27334	1	34	*	*	PROPN
ajst-27334	1	35	,	,	PUNCT
ajst-27334	1	36	linxing	linxe	VERB
ajst-27334	1	37	peng	peng	PROPN
ajst-27334	1	38	,	,	PUNCT
ajst-27334	1	39	yangde	yangde	PROPN
ajst-27334	1	40	ji	ji	PROPN
ajst-27334	1	41	,	,	PUNCT
ajst-27334	1	42	ziheng	ziheng	PROPN
ajst-27334	1	43	jiang	jiang	PROPN
ajst-27334	1	44	college	college	PROPN
ajst-27334	1	45	of	of	ADP
ajst-27334	1	46	intelligent	intelligent	ADJ
ajst-27334	1	47	manufacturing	manufacturing	NOUN
ajst-27334	1	48	and	and	CCONJ
ajst-27334	1	49	elevator	elevator	NOUN
ajst-27334	1	50	technology	technology	NOUN
ajst-27334	1	51	,	,	PUNCT
ajst-27334	1	52	huzhou	huzhou	NOUN
ajst-27334	1	53	vocational	vocational	ADJ
ajst-27334	1	54	and	and	CCONJ
ajst-27334	1	55	technical	technical	PROPN
ajst-27334	1	56	college	college	PROPN
ajst-27334	1	57	,	,	PUNCT
ajst-27334	1	58	huzhou	huzhou	NOUN
ajst-27334	1	59	,	,	PUNCT
ajst-27334	1	60	313099	313099	NUM
ajst-27334	1	61	,	,	PUNCT
ajst-27334	1	62	china	china	PROPN
ajst-27334	1	63	*	*	PUNCT
ajst-27334	1	64	corresponding	correspond	VERB
ajst-27334	1	65	author	author	NOUN
ajst-27334	1	66	:	:	PUNCT
ajst-27334	1	67	2022024@huvtc.edu.cn	2022024@huvtc.edu.cn	NUM
ajst-27334	1	68	abstract	abstract	NOUN
ajst-27334	1	69	:	:	PUNCT
ajst-27334	1	70	gait	gait	PROPN
ajst-27334	1	71	recognition	recognition	NOUN
ajst-27334	1	72	is	be	AUX
ajst-27334	1	73	to	to	PART
ajst-27334	1	74	determine	determine	VERB
ajst-27334	1	75	the	the	DET
ajst-27334	1	76	identity	identity	NOUN
ajst-27334	1	77	information	information	NOUN
ajst-27334	1	78	of	of	ADP
ajst-27334	1	79	pedestrians	pedestrian	NOUN
ajst-27334	1	80	through	through	ADP
ajst-27334	1	81	the	the	DET
ajst-27334	1	82	difference	difference	NOUN
ajst-27334	1	83	of	of	ADP
ajst-27334	1	84	their	their	PRON
ajst-27334	1	85	walking	walking	NOUN
ajst-27334	1	86	postures	posture	NOUN
ajst-27334	1	87	,	,	PUNCT
ajst-27334	1	88	which	which	PRON
ajst-27334	1	89	has	have	AUX
ajst-27334	1	90	received	receive	VERB
ajst-27334	1	91	more	more	ADJ
ajst-27334	1	92	and	and	CCONJ
ajst-27334	1	93	more	more	ADJ
ajst-27334	1	94	attention	attention	NOUN
ajst-27334	1	95	from	from	ADP
ajst-27334	1	96	researchers	researcher	NOUN
ajst-27334	1	97	in	in	ADP
ajst-27334	1	98	recent	recent	ADJ
ajst-27334	1	99	years	year	NOUN
ajst-27334	1	100	.	.	PUNCT
ajst-27334	2	1	the	the	DET
ajst-27334	2	2	current	current	ADJ
ajst-27334	2	3	existing	exist	VERB
ajst-27334	2	4	gait	gait	NOUN
ajst-27334	2	5	recognition	recognition	NOUN
ajst-27334	2	6	methods	method	NOUN
ajst-27334	2	7	have	have	VERB
ajst-27334	2	8	the	the	DET
ajst-27334	2	9	situation	situation	NOUN
ajst-27334	2	10	of	of	ADP
ajst-27334	2	11	low	low	ADJ
ajst-27334	2	12	recognition	recognition	NOUN
ajst-27334	2	13	rate	rate	NOUN
ajst-27334	2	14	and	and	CCONJ
ajst-27334	2	15	difficult	difficult	ADJ
ajst-27334	2	16	to	to	PART
ajst-27334	2	17	be	be	AUX
ajst-27334	2	18	applied	apply	VERB
ajst-27334	2	19	on	on	ADP
ajst-27334	2	20	the	the	DET
ajst-27334	2	21	ground	ground	NOUN
ajst-27334	2	22	.	.	PUNCT
ajst-27334	3	1	this	this	DET
ajst-27334	3	2	paper	paper	NOUN
ajst-27334	3	3	proposes	propose	VERB
ajst-27334	3	4	a	a	DET
ajst-27334	3	5	gait	gait	ADJ
ajst-27334	3	6	recognition	recognition	NOUN
ajst-27334	3	7	method	method	NOUN
ajst-27334	3	8	based	base	VERB
ajst-27334	3	9	on	on	ADP
ajst-27334	3	10	densenet201	densenet201	PROPN
ajst-27334	3	11	deep	deep	ADJ
ajst-27334	3	12	network	network	NOUN
ajst-27334	3	13	transfer	transfer	NOUN
ajst-27334	3	14	features	feature	NOUN
ajst-27334	3	15	,	,	PUNCT
ajst-27334	3	16	aiming	aim	VERB
ajst-27334	3	17	to	to	PART
ajst-27334	3	18	improve	improve	VERB
ajst-27334	3	19	the	the	DET
ajst-27334	3	20	gait	gait	ADJ
ajst-27334	3	21	recognition	recognition	NOUN
ajst-27334	3	22	rate	rate	NOUN
ajst-27334	3	23	and	and	CCONJ
ajst-27334	3	24	accelerate	accelerate	VERB
ajst-27334	3	25	the	the	DET
ajst-27334	3	26	rapid	rapid	ADJ
ajst-27334	3	27	application	application	NOUN
ajst-27334	3	28	of	of	ADP
ajst-27334	3	29	gait	gait	ADJ
ajst-27334	3	30	recognition	recognition	NOUN
ajst-27334	3	31	.	.	PUNCT
ajst-27334	4	1	in	in	ADP
ajst-27334	4	2	this	this	DET
ajst-27334	4	3	paper	paper	NOUN
ajst-27334	4	4	,	,	PUNCT
ajst-27334	4	5	a	a	DET
ajst-27334	4	6	human	human	ADJ
ajst-27334	4	7	body	body	NOUN
ajst-27334	4	8	region	region	NOUN
ajst-27334	4	9	segmentation	segmentation	NOUN
ajst-27334	4	10	method	method	NOUN
ajst-27334	4	11	is	be	AUX
ajst-27334	4	12	first	first	ADV
ajst-27334	4	13	designed	design	VERB
ajst-27334	4	14	to	to	PART
ajst-27334	4	15	divide	divide	VERB
ajst-27334	4	16	the	the	DET
ajst-27334	4	17	arm	arm	NOUN
ajst-27334	4	18	region	region	NOUN
ajst-27334	4	19	and	and	CCONJ
ajst-27334	4	20	leg	leg	NOUN
ajst-27334	4	21	region	region	NOUN
ajst-27334	4	22	from	from	ADP
ajst-27334	4	23	the	the	DET
ajst-27334	4	24	whole	whole	ADJ
ajst-27334	4	25	pedestrian	pedestrian	NOUN
ajst-27334	4	26	gait	gait	NOUN
ajst-27334	4	27	image	image	NOUN
ajst-27334	4	28	.	.	PUNCT
ajst-27334	5	1	then	then	ADV
ajst-27334	5	2	the	the	DET
ajst-27334	5	3	pre	pre	ADJ
ajst-27334	5	4	-	-	ADJ
ajst-27334	5	5	trained	train	VERB
ajst-27334	5	6	deep	deep	ADJ
ajst-27334	5	7	network	network	NOUN
ajst-27334	5	8	model	model	NOUN
ajst-27334	5	9	densenet201	densenet201	PROPN
ajst-27334	5	10	after	after	SCONJ
ajst-27334	5	11	parameter	parameter	PROPN
ajst-27334	5	12	fine	fine	ADV
ajst-27334	5	13	-	-	PUNCT
ajst-27334	5	14	tuning	tuning	NOUN
ajst-27334	5	15	is	be	AUX
ajst-27334	5	16	used	use	VERB
ajst-27334	5	17	to	to	PART
ajst-27334	5	18	extract	extract	VERB
ajst-27334	5	19	the	the	DET
ajst-27334	5	20	depth	depth	NOUN
ajst-27334	5	21	transfer	transfer	NOUN
ajst-27334	5	22	features	feature	NOUN
ajst-27334	5	23	of	of	ADP
ajst-27334	5	24	the	the	DET
ajst-27334	5	25	whole	whole	ADJ
ajst-27334	5	26	human	human	ADJ
ajst-27334	5	27	body	body	NOUN
ajst-27334	5	28	region	region	NOUN
ajst-27334	5	29	,	,	PUNCT
ajst-27334	5	30	the	the	DET
ajst-27334	5	31	arm	arm	NOUN
ajst-27334	5	32	region	region	NOUN
ajst-27334	5	33	,	,	PUNCT
ajst-27334	5	34	and	and	CCONJ
ajst-27334	5	35	the	the	DET
ajst-27334	5	36	leg	leg	NOUN
ajst-27334	5	37	region	region	NOUN
ajst-27334	5	38	in	in	ADP
ajst-27334	5	39	the	the	DET
ajst-27334	5	40	three	three	NUM
ajst-27334	5	41	segmented	segment	VERB
ajst-27334	5	42	regions	region	NOUN
ajst-27334	5	43	,	,	PUNCT
ajst-27334	5	44	and	and	CCONJ
ajst-27334	5	45	do	do	VERB
ajst-27334	5	46	the	the	DET
ajst-27334	5	47	sum	sum	NOUN
ajst-27334	5	48	-	-	PUNCT
ajst-27334	5	49	averaging	average	VERB
ajst-27334	5	50	fusion	fusion	NOUN
ajst-27334	5	51	process	process	NOUN
ajst-27334	5	52	for	for	ADP
ajst-27334	5	53	the	the	DET
ajst-27334	5	54	depth	depth	NOUN
ajst-27334	5	55	transfer	transfer	NOUN
ajst-27334	5	56	features	feature	NOUN
ajst-27334	5	57	of	of	ADP
ajst-27334	5	58	each	each	DET
ajst-27334	5	59	segmented	segment	VERB
ajst-27334	5	60	region	region	NOUN
ajst-27334	5	61	.	.	PUNCT
ajst-27334	6	1	finally	finally	ADV
ajst-27334	6	2	,	,	PUNCT
ajst-27334	6	3	a	a	DET
ajst-27334	6	4	discriminant	discriminant	ADJ
ajst-27334	6	5	analysis	analysis	NOUN
ajst-27334	6	6	classifier	classifier	NOUN
ajst-27334	6	7	is	be	AUX
ajst-27334	6	8	used	use	VERB
ajst-27334	6	9	to	to	PART
ajst-27334	6	10	classify	classify	VERB
ajst-27334	6	11	and	and	CCONJ
ajst-27334	6	12	recognize	recognize	VERB
ajst-27334	6	13	the	the	DET
ajst-27334	6	14	fused	fuse	VERB
ajst-27334	6	15	depth	depth	NOUN
ajst-27334	6	16	migration	migration	NOUN
ajst-27334	6	17	features	feature	NOUN
ajst-27334	6	18	.	.	PUNCT
ajst-27334	7	1	after	after	ADP
ajst-27334	7	2	experiments	experiment	NOUN
ajst-27334	7	3	on	on	ADP
ajst-27334	7	4	the	the	DET
ajst-27334	7	5	casia	casia	NOUN
ajst-27334	7	6	-	-	PUNCT
ajst-27334	7	7	b	b	PROPN
ajst-27334	7	8	gait	gait	ADJ
ajst-27334	7	9	database	database	NOUN
ajst-27334	7	10	collected	collect	VERB
ajst-27334	7	11	by	by	ADP
ajst-27334	7	12	the	the	DET
ajst-27334	7	13	institute	institute	PROPN
ajst-27334	7	14	of	of	ADP
ajst-27334	7	15	automation	automation	NOUN
ajst-27334	7	16	of	of	ADP
ajst-27334	7	17	the	the	DET
ajst-27334	7	18	chinese	chinese	PROPN
ajst-27334	7	19	academy	academy	PROPN
ajst-27334	7	20	of	of	ADP
ajst-27334	7	21	sciences	sciences	PROPN
ajst-27334	7	22	,	,	PUNCT
ajst-27334	7	23	it	it	PRON
ajst-27334	7	24	is	be	AUX
ajst-27334	7	25	proved	prove	VERB
ajst-27334	7	26	that	that	SCONJ
ajst-27334	7	27	the	the	DET
ajst-27334	7	28	division	division	NOUN
ajst-27334	7	29	of	of	ADP
ajst-27334	7	30	the	the	DET
ajst-27334	7	31	arm	arm	NOUN
ajst-27334	7	32	region	region	NOUN
ajst-27334	7	33	and	and	CCONJ
ajst-27334	7	34	the	the	DET
ajst-27334	7	35	leg	leg	NOUN
ajst-27334	7	36	region	region	NOUN
ajst-27334	7	37	has	have	VERB
ajst-27334	7	38	obvious	obvious	ADJ
ajst-27334	7	39	effect	effect	NOUN
ajst-27334	7	40	on	on	ADP
ajst-27334	7	41	the	the	DET
ajst-27334	7	42	improvement	improvement	NOUN
ajst-27334	7	43	of	of	ADP
ajst-27334	7	44	the	the	DET
ajst-27334	7	45	gait	gait	ADJ
ajst-27334	7	46	recognition	recognition	NOUN
ajst-27334	7	47	rate	rate	NOUN
ajst-27334	7	48	,	,	PUNCT
ajst-27334	7	49	and	and	CCONJ
ajst-27334	7	50	the	the	DET
ajst-27334	7	51	features	feature	NOUN
ajst-27334	7	52	extracted	extract	VERB
ajst-27334	7	53	from	from	ADP
ajst-27334	7	54	the	the	DET
ajst-27334	7	55	pedestrian	pedestrian	NOUN
ajst-27334	7	56	gait	gait	NOUN
ajst-27334	7	57	images	image	NOUN
ajst-27334	7	58	by	by	ADP
ajst-27334	7	59	using	use	VERB
ajst-27334	7	60	the	the	DET
ajst-27334	7	61	deep	deep	ADJ
ajst-27334	7	62	transfer	transfer	NOUN
ajst-27334	7	63	network	network	NOUN
ajst-27334	7	64	have	have	VERB
ajst-27334	7	65	a	a	DET
ajst-27334	7	66	good	good	ADJ
ajst-27334	7	67	characterization	characterization	NOUN
ajst-27334	7	68	performance	performance	NOUN
ajst-27334	7	69	.	.	PUNCT
ajst-27334	8	1	keywords	keyword	NOUN
ajst-27334	8	2	:	:	PUNCT
ajst-27334	8	3	densenet201	densenet201	ADJ
ajst-27334	8	4	,	,	PUNCT
ajst-27334	8	5	body	body	NOUN
ajst-27334	8	6	region	region	NOUN
ajst-27334	8	7	segmentation	segmentation	NOUN
ajst-27334	8	8	,	,	PUNCT
ajst-27334	8	9	deep	deep	ADJ
ajst-27334	8	10	network	network	NOUN
ajst-27334	8	11	transfer	transfer	NOUN
ajst-27334	8	12	features	feature	NOUN
ajst-27334	8	13	,	,	PUNCT
ajst-27334	8	14	fusion	fusion	NOUN
ajst-27334	8	15	.	.	PUNCT
ajst-27334	9	1	1	1	X
ajst-27334	9	2	.	.	X
ajst-27334	9	3	introduction	introduction	NOUN
ajst-27334	9	4	with	with	ADP
ajst-27334	9	5	the	the	DET
ajst-27334	9	6	continuous	continuous	ADJ
ajst-27334	9	7	forward	forward	ADJ
ajst-27334	9	8	development	development	NOUN
ajst-27334	9	9	of	of	ADP
ajst-27334	9	10	economy	economy	NOUN
ajst-27334	9	11	and	and	CCONJ
ajst-27334	9	12	society	society	NOUN
ajst-27334	9	13	,	,	PUNCT
ajst-27334	9	14	public	public	ADJ
ajst-27334	9	15	security	security	NOUN
ajst-27334	9	16	is	be	AUX
ajst-27334	9	17	getting	get	VERB
ajst-27334	9	18	more	more	ADJ
ajst-27334	9	19	and	and	CCONJ
ajst-27334	9	20	more	more	ADJ
ajst-27334	9	21	attention	attention	NOUN
ajst-27334	9	22	,	,	PUNCT
ajst-27334	9	23	how	how	SCONJ
ajst-27334	9	24	to	to	PART
ajst-27334	9	25	use	use	VERB
ajst-27334	9	26	modern	modern	ADJ
ajst-27334	9	27	information	information	NOUN
ajst-27334	9	28	technology	technology	NOUN
ajst-27334	9	29	and	and	CCONJ
ajst-27334	9	30	intelligent	intelligent	ADJ
ajst-27334	9	31	way	way	NOUN
ajst-27334	9	32	to	to	PART
ajst-27334	9	33	guarantee	guarantee	VERB
ajst-27334	9	34	social	social	ADJ
ajst-27334	9	35	security	security	NOUN
ajst-27334	9	36	is	be	AUX
ajst-27334	9	37	a	a	DET
ajst-27334	9	38	problem	problem	NOUN
ajst-27334	9	39	we	we	PRON
ajst-27334	9	40	need	need	VERB
ajst-27334	9	41	to	to	PART
ajst-27334	9	42	solve	solve	VERB
ajst-27334	9	43	urgently	urgently	ADV
ajst-27334	9	44	.	.	PUNCT
ajst-27334	10	1	gait	gait	PROPN
ajst-27334	10	2	recognition	recognition	NOUN
ajst-27334	11	1	[	[	X
ajst-27334	11	2	1	1	NUM
ajst-27334	11	3	]	]	PUNCT
ajst-27334	11	4	,	,	PUNCT
ajst-27334	11	5	is	be	AUX
ajst-27334	11	6	one	one	NUM
ajst-27334	11	7	of	of	ADP
ajst-27334	11	8	the	the	DET
ajst-27334	11	9	most	most	ADV
ajst-27334	11	10	promising	promising	ADJ
ajst-27334	11	11	biometric	biometric	ADJ
ajst-27334	11	12	identification	identification	NOUN
ajst-27334	11	13	technologies	technology	NOUN
ajst-27334	11	14	in	in	ADP
ajst-27334	11	15	the	the	DET
ajst-27334	11	16	field	field	NOUN
ajst-27334	11	17	of	of	ADP
ajst-27334	11	18	individual	individual	ADJ
ajst-27334	11	19	identification	identification	NOUN
ajst-27334	11	20	in	in	ADP
ajst-27334	11	21	long	long	ADJ
ajst-27334	11	22	-	-	PUNCT
ajst-27334	11	23	distance	distance	NOUN
ajst-27334	11	24	situations	situation	NOUN
ajst-27334	11	25	.	.	PUNCT
ajst-27334	12	1	due	due	ADP
ajst-27334	12	2	to	to	ADP
ajst-27334	12	3	the	the	DET
ajst-27334	12	4	important	important	ADJ
ajst-27334	12	5	scientific	scientific	ADJ
ajst-27334	12	6	and	and	CCONJ
ajst-27334	12	7	practical	practical	ADJ
ajst-27334	12	8	significance	significance	NOUN
ajst-27334	12	9	of	of	ADP
ajst-27334	12	10	gait	gait	ADJ
ajst-27334	12	11	recognition	recognition	NOUN
ajst-27334	12	12	technology	technology	NOUN
ajst-27334	12	13	,	,	PUNCT
ajst-27334	12	14	it	it	PRON
ajst-27334	12	15	has	have	AUX
ajst-27334	12	16	attracted	attract	VERB
ajst-27334	12	17	many	many	ADJ
ajst-27334	12	18	scholars	scholar	NOUN
ajst-27334	12	19	to	to	PART
ajst-27334	12	20	invest	invest	VERB
ajst-27334	12	21	in	in	ADP
ajst-27334	12	22	it	it	PRON
ajst-27334	13	1	[	[	X
ajst-27334	13	2	2	2	NUM
ajst-27334	13	3	-	-	SYM
ajst-27334	13	4	4	4	NUM
ajst-27334	13	5	]	]	PUNCT
ajst-27334	13	6	.	.	PUNCT
ajst-27334	14	1	deep	deep	ADJ
ajst-27334	14	2	convolutional	convolutional	ADJ
ajst-27334	14	3	neural	neural	ADJ
ajst-27334	14	4	networks	network	NOUN
ajst-27334	14	5	are	be	AUX
ajst-27334	14	6	widely	widely	ADV
ajst-27334	14	7	used	use	VERB
ajst-27334	14	8	in	in	ADP
ajst-27334	14	9	the	the	DET
ajst-27334	14	10	field	field	NOUN
ajst-27334	14	11	of	of	ADP
ajst-27334	14	12	image	image	NOUN
ajst-27334	14	13	classification	classification	NOUN
ajst-27334	14	14	and	and	CCONJ
ajst-27334	14	15	recognition	recognition	NOUN
ajst-27334	14	16	due	due	ADP
ajst-27334	14	17	to	to	ADP
ajst-27334	14	18	their	their	PRON
ajst-27334	14	19	superb	superb	ADJ
ajst-27334	14	20	analytical	analytical	ADJ
ajst-27334	14	21	expressiveness	expressiveness	NOUN
ajst-27334	14	22	and	and	CCONJ
ajst-27334	14	23	feature	feature	NOUN
ajst-27334	14	24	learning	learn	VERB
ajst-27334	14	25	ability	ability	NOUN
ajst-27334	14	26	[	[	X
ajst-27334	14	27	5	5	NUM
ajst-27334	14	28	]	]	PUNCT
ajst-27334	14	29	.	.	PUNCT
ajst-27334	15	1	unprocessed	unprocesse	VERB
ajst-27334	15	2	images	image	NOUN
ajst-27334	15	3	can	can	AUX
ajst-27334	15	4	be	be	AUX
ajst-27334	15	5	directly	directly	ADV
ajst-27334	15	6	input	input	VERB
ajst-27334	15	7	into	into	ADP
ajst-27334	15	8	deep	deep	ADJ
ajst-27334	15	9	convolutional	convolutional	ADJ
ajst-27334	15	10	neural	neural	ADJ
ajst-27334	15	11	networks	network	NOUN
ajst-27334	15	12	,	,	PUNCT
ajst-27334	15	13	which	which	PRON
ajst-27334	15	14	can	can	AUX
ajst-27334	15	15	efficiently	efficiently	ADV
ajst-27334	15	16	reduce	reduce	VERB
ajst-27334	15	17	the	the	DET
ajst-27334	15	18	pre	pre	ADJ
ajst-27334	15	19	-	-	ADJ
ajst-27334	15	20	processing	processing	ADJ
ajst-27334	15	21	procedures	procedure	NOUN
ajst-27334	15	22	for	for	ADP
ajst-27334	15	23	images	image	NOUN
ajst-27334	15	24	.	.	PUNCT
ajst-27334	16	1	in	in	ADP
ajst-27334	16	2	recent	recent	ADJ
ajst-27334	16	3	years	year	NOUN
ajst-27334	16	4	,	,	PUNCT
ajst-27334	16	5	more	more	ADJ
ajst-27334	16	6	and	and	CCONJ
ajst-27334	16	7	more	more	ADJ
ajst-27334	16	8	researchers	researcher	NOUN
ajst-27334	16	9	at	at	ADP
ajst-27334	16	10	home	home	ADV
ajst-27334	16	11	and	and	CCONJ
ajst-27334	16	12	abroad	abroad	ADV
ajst-27334	16	13	have	have	AUX
ajst-27334	16	14	used	use	VERB
ajst-27334	16	15	deep	deep	ADJ
ajst-27334	16	16	convolutional	convolutional	ADJ
ajst-27334	16	17	neural	neural	ADJ
ajst-27334	16	18	networks	network	NOUN
ajst-27334	16	19	to	to	PART
ajst-27334	16	20	solve	solve	VERB
ajst-27334	16	21	the	the	DET
ajst-27334	16	22	practical	practical	ADJ
ajst-27334	16	23	problems	problem	NOUN
ajst-27334	16	24	faced	face	VERB
ajst-27334	16	25	by	by	ADP
ajst-27334	16	26	gait	gait	ADJ
ajst-27334	16	27	recognition	recognition	NOUN
ajst-27334	17	1	[	[	X
ajst-27334	17	2	6	6	NUM
ajst-27334	17	3	-	-	SYM
ajst-27334	17	4	8	8	NUM
ajst-27334	17	5	]	]	PUNCT
ajst-27334	17	6	.	.	PUNCT
ajst-27334	18	1	zhang	zhang	PROPN
ajst-27334	18	2	et	et	PROPN
ajst-27334	18	3	al	al	PROPN
ajst-27334	19	1	[	[	X
ajst-27334	19	2	9	9	NUM
ajst-27334	19	3	]	]	PUNCT
ajst-27334	19	4	used	use	VERB
ajst-27334	19	5	cnn	cnn	PROPN
ajst-27334	19	6	to	to	PART
ajst-27334	19	7	extract	extract	VERB
ajst-27334	19	8	spatial	spatial	ADJ
ajst-27334	19	9	features	feature	NOUN
ajst-27334	19	10	in	in	ADP
ajst-27334	19	11	the	the	DET
ajst-27334	19	12	gait	gait	NOUN
ajst-27334	19	13	of	of	ADP
ajst-27334	19	14	trained	train	VERB
ajst-27334	19	15	pedestrians	pedestrian	NOUN
ajst-27334	19	16	and	and	CCONJ
ajst-27334	19	17	lstm	lstm	NOUN
ajst-27334	19	18	network	network	NOUN
ajst-27334	19	19	to	to	PART
ajst-27334	19	20	extract	extract	VERB
ajst-27334	19	21	temporal	temporal	ADJ
ajst-27334	19	22	and	and	CCONJ
ajst-27334	19	23	spatial	spatial	ADJ
ajst-27334	19	24	features	feature	NOUN
ajst-27334	19	25	in	in	ADP
ajst-27334	19	26	the	the	DET
ajst-27334	19	27	pedestrian	pedestrian	NOUN
ajst-27334	19	28	gait	gait	PROPN
ajst-27334	19	29	sequences	sequence	NOUN
ajst-27334	19	30	,	,	PUNCT
ajst-27334	19	31	optimizing	optimize	VERB
ajst-27334	19	32	the	the	DET
ajst-27334	19	33	structure	structure	NOUN
ajst-27334	19	34	and	and	CCONJ
ajst-27334	19	35	parameters	parameter	NOUN
ajst-27334	19	36	of	of	ADP
ajst-27334	19	37	the	the	DET
ajst-27334	19	38	lstm	lstm	PROPN
ajst-27334	19	39	network	network	NOUN
ajst-27334	19	40	in	in	ADP
ajst-27334	19	41	the	the	DET
ajst-27334	19	42	gait	gait	PROPN
ajst-27334	19	43	recognition	recognition	PROPN
ajst-27334	19	44	model	model	PROPN
ajst-27334	19	45	.	.	PUNCT
ajst-27334	20	1	gul	gul	PROPN
ajst-27334	20	2	et	et	PROPN
ajst-27334	20	3	al	al	PROPN
ajst-27334	21	1	[	[	X
ajst-27334	21	2	10	10	NUM
ajst-27334	21	3	]	]	PUNCT
ajst-27334	21	4	used	use	VERB
ajst-27334	21	5	gait	gait	NOUN
ajst-27334	21	6	energy	energy	NOUN
ajst-27334	21	7	maps	map	NOUN
ajst-27334	21	8	as	as	ADP
ajst-27334	21	9	model	model	NOUN
ajst-27334	21	10	inputs	input	NOUN
ajst-27334	21	11	and	and	CCONJ
ajst-27334	21	12	captured	capture	VERB
ajst-27334	21	13	spatial	spatial	ADJ
ajst-27334	21	14	-	-	PUNCT
ajst-27334	21	15	temporal	temporal	ADJ
ajst-27334	21	16	features	feature	NOUN
ajst-27334	21	17	of	of	ADP
ajst-27334	21	18	the	the	DET
ajst-27334	21	19	gait	gait	ADJ
ajst-27334	21	20	sequences	sequence	NOUN
ajst-27334	21	21	by	by	ADP
ajst-27334	21	22	training	train	VERB
ajst-27334	21	23	a	a	DET
ajst-27334	21	24	three	three	NUM
ajst-27334	21	25	-	-	PUNCT
ajst-27334	21	26	dimensional	dimensional	ADJ
ajst-27334	21	27	convolutional	convolutional	ADJ
ajst-27334	21	28	deep	deep	ADJ
ajst-27334	21	29	neural	neural	ADJ
ajst-27334	21	30	network	network	NOUN
ajst-27334	21	31	(	(	PUNCT
ajst-27334	21	32	3d	3d	PROPN
ajst-27334	21	33	cnn	cnn	PROPN
ajst-27334	21	34	)	)	PUNCT
ajst-27334	21	35	and	and	CCONJ
ajst-27334	21	36	thus	thus	ADV
ajst-27334	21	37	recognize	recognize	VERB
ajst-27334	21	38	the	the	DET
ajst-27334	21	39	pedestrian	pedestrian	NOUN
ajst-27334	21	40	identity	identity	NOUN
ajst-27334	21	41	.	.	PUNCT
ajst-27334	22	1	mehmood	mehmood	PROPN
ajst-27334	22	2	et	et	PROPN
ajst-27334	22	3	al	al	PROPN
ajst-27334	23	1	[	[	X
ajst-27334	23	2	11	11	NUM
ajst-27334	23	3	]	]	PUNCT
ajst-27334	23	4	used	use	VERB
ajst-27334	23	5	a	a	DET
ajst-27334	23	6	pre	pre	ADJ
ajst-27334	23	7	-	-	ADJ
ajst-27334	23	8	trained	train	VERB
ajst-27334	23	9	vgg16	vgg16	NOUN
ajst-27334	23	10	network	network	NOUN
ajst-27334	23	11	model	model	NOUN
ajst-27334	23	12	to	to	PART
ajst-27334	23	13	extract	extract	VERB
ajst-27334	23	14	features	feature	NOUN
ajst-27334	23	15	,	,	PUNCT
ajst-27334	23	16	remove	remove	VERB
ajst-27334	23	17	redundant	redundant	ADJ
ajst-27334	23	18	features	feature	NOUN
ajst-27334	23	19	and	and	CCONJ
ajst-27334	23	20	thus	thus	ADV
ajst-27334	23	21	classify	classify	VERB
ajst-27334	23	22	and	and	CCONJ
ajst-27334	23	23	recognize	recognize	VERB
ajst-27334	23	24	them	they	PRON
ajst-27334	23	25	.	.	PUNCT
ajst-27334	24	1	das	das	PROPN
ajst-27334	24	2	et	et	PROPN
ajst-27334	24	3	al	al	PROPN
ajst-27334	25	1	[	[	X
ajst-27334	25	2	12	12	NUM
ajst-27334	25	3	]	]	PUNCT
ajst-27334	25	4	proposed	propose	VERB
ajst-27334	25	5	a	a	DET
ajst-27334	25	6	two	two	NUM
ajst-27334	25	7	-	-	PUNCT
ajst-27334	25	8	stage	stage	NOUN
ajst-27334	25	9	pipeline	pipeline	NOUN
ajst-27334	25	10	consisting	consist	VERB
ajst-27334	25	11	of	of	ADP
ajst-27334	25	12	an	an	DET
ajst-27334	25	13	occlusion	occlusion	NOUN
ajst-27334	25	14	detection	detection	NOUN
ajst-27334	25	15	and	and	CCONJ
ajst-27334	25	16	reconstruction	reconstruction	NOUN
ajst-27334	25	17	framework	framework	NOUN
ajst-27334	25	18	,	,	PUNCT
ajst-27334	25	19	where	where	SCONJ
ajst-27334	25	20	occlusion	occlusion	NOUN
ajst-27334	25	21	detection	detection	NOUN
ajst-27334	25	22	is	be	AUX
ajst-27334	25	23	performed	perform	VERB
ajst-27334	25	24	by	by	ADP
ajst-27334	25	25	employing	employ	VERB
ajst-27334	25	26	the	the	DET
ajst-27334	25	27	vgg-16	vgg-16	NOUN
ajst-27334	25	28	model	model	NOUN
ajst-27334	25	29	,	,	PUNCT
ajst-27334	25	30	followed	follow	VERB
ajst-27334	25	31	by	by	ADP
ajst-27334	25	32	the	the	DET
ajst-27334	25	33	use	use	NOUN
ajst-27334	25	34	of	of	ADP
ajst-27334	25	35	lstm	lstm	NOUN
ajst-27334	25	36	-	-	PUNCT
ajst-27334	25	37	based	base	VERB
ajst-27334	25	38	network	network	NOUN
ajst-27334	25	39	called	call	VERB
ajst-27334	25	40	rgait	rgait	NOUN
ajst-27334	25	41	-	-	PUNCT
ajst-27334	25	42	net	net	NOUN
ajst-27334	25	43	to	to	PART
ajst-27334	25	44	reconstruct	reconstruct	VERB
ajst-27334	25	45	the	the	DET
ajst-27334	25	46	occlusion	occlusion	NOUN
ajst-27334	25	47	frames	frame	NOUN
ajst-27334	25	48	in	in	ADP
ajst-27334	25	49	the	the	DET
ajst-27334	25	50	sequence	sequence	NOUN
ajst-27334	25	51	,	,	PUNCT
ajst-27334	25	52	thus	thus	ADV
ajst-27334	25	53	solving	solve	VERB
ajst-27334	25	54	the	the	DET
ajst-27334	25	55	occlusion	occlusion	NOUN
ajst-27334	25	56	problem	problem	NOUN
ajst-27334	25	57	in	in	ADP
ajst-27334	25	58	gait	gait	PROPN
ajst-27334	25	59	recognition	recognition	PROPN
ajst-27334	25	60	.	.	PUNCT
ajst-27334	26	1	guo	guo	PROPN
ajst-27334	26	2	et	et	PROPN
ajst-27334	26	3	al	al	PROPN
ajst-27334	27	1	[	[	X
ajst-27334	27	2	13	13	NUM
ajst-27334	27	3	]	]	PUNCT
ajst-27334	27	4	proposed	propose	VERB
ajst-27334	27	5	a	a	DET
ajst-27334	27	6	3d	3d	PROPN
ajst-27334	27	7	skeleton	skeleton	NOUN
ajst-27334	27	8	based	base	VERB
ajst-27334	27	9	human	human	PROPN
ajst-27334	27	10	gait	gait	PROPN
ajst-27334	27	11	recognition	recognition	NOUN
ajst-27334	27	12	framework	framework	NOUN
ajst-27334	27	13	,	,	PUNCT
ajst-27334	27	14	where	where	SCONJ
ajst-27334	27	15	a	a	DET
ajst-27334	27	16	self	self	NOUN
ajst-27334	27	17	-	-	PUNCT
ajst-27334	27	18	encoder	encoder	NOUN
ajst-27334	27	19	is	be	AUX
ajst-27334	27	20	constructed	construct	VERB
ajst-27334	27	21	using	use	VERB
ajst-27334	27	22	a	a	DET
ajst-27334	27	23	graph	graph	NOUN
ajst-27334	27	24	convolution	convolution	NOUN
ajst-27334	27	25	based	base	VERB
ajst-27334	27	26	encoder	encoder	NOUN
ajst-27334	27	27	and	and	CCONJ
ajst-27334	27	28	a	a	DET
ajst-27334	27	29	physically	physically	ADV
ajst-27334	27	30	based	base	VERB
ajst-27334	27	31	decoder	decoder	NOUN
ajst-27334	27	32	,	,	PUNCT
ajst-27334	27	33	and	and	CCONJ
ajst-27334	27	34	the	the	DET
ajst-27334	27	35	extracted	extract	VERB
ajst-27334	27	36	features	feature	NOUN
ajst-27334	27	37	are	be	AUX
ajst-27334	27	38	fed	feed	VERB
ajst-27334	27	39	into	into	ADP
ajst-27334	27	40	an	an	DET
ajst-27334	27	41	rnn	rnn	NOUN
ajst-27334	27	42	for	for	ADP
ajst-27334	27	43	classification	classification	NOUN
ajst-27334	27	44	and	and	CCONJ
ajst-27334	27	45	recognition	recognition	NOUN
ajst-27334	27	46	.	.	PUNCT
ajst-27334	28	1	pan	pan	PROPN
ajst-27334	28	2	et	et	PROPN
ajst-27334	28	3	al	al	PROPN
ajst-27334	29	1	[	[	X
ajst-27334	29	2	14	14	NUM
ajst-27334	29	3	]	]	PUNCT
ajst-27334	29	4	proposed	propose	VERB
ajst-27334	29	5	to	to	PART
ajst-27334	29	6	propose	propose	VERB
ajst-27334	29	7	a	a	DET
ajst-27334	29	8	lower	low	ADJ
ajst-27334	29	9	-	-	PUNCT
ajst-27334	29	10	upper	upper	ADJ
ajst-27334	29	11	generative	generative	ADJ
ajst-27334	29	12	adversarial	adversarial	ADJ
ajst-27334	29	13	network	network	NOUN
ajst-27334	29	14	(	(	PUNCT
ajst-27334	29	15	lugan	lugan	PROPN
ajst-27334	29	16	)	)	PUNCT
ajst-27334	29	17	to	to	PART
ajst-27334	29	18	generate	generate	VERB
ajst-27334	29	19	multi	multi	ADJ
ajst-27334	29	20	-	-	ADJ
ajst-27334	29	21	view	view	NOUN
ajst-27334	29	22	pose	pose	VERB
ajst-27334	29	23	sequences	sequence	NOUN
ajst-27334	29	24	for	for	ADP
ajst-27334	29	25	each	each	DET
ajst-27334	29	26	single	single	ADJ
ajst-27334	29	27	view	view	NOUN
ajst-27334	29	28	sample	sample	NOUN
ajst-27334	29	29	to	to	PART
ajst-27334	29	30	reduce	reduce	VERB
ajst-27334	29	31	cross	cross	ADJ
ajst-27334	29	32	-	-	ADJ
ajst-27334	29	33	view	view	ADJ
ajst-27334	29	34	variance	variance	NOUN
ajst-27334	29	35	and	and	CCONJ
ajst-27334	29	36	solve	solve	VERB
ajst-27334	29	37	the	the	DET
ajst-27334	29	38	cross	cross	ADJ
ajst-27334	29	39	-	-	ADJ
ajst-27334	29	40	view	view	ADJ
ajst-27334	29	41	gait	gait	NOUN
ajst-27334	29	42	recognition	recognition	NOUN
ajst-27334	29	43	problem	problem	NOUN
ajst-27334	29	44	.	.	PUNCT
ajst-27334	30	1	kumar	kumar	PROPN
ajst-27334	30	2	et	et	PROPN
ajst-27334	30	3	al	al	PROPN
ajst-27334	31	1	[	[	X
ajst-27334	31	2	15	15	NUM
ajst-27334	31	3	]	]	PUNCT
ajst-27334	31	4	proposed	propose	VERB
ajst-27334	31	5	to	to	PART
ajst-27334	31	6	accomplish	accomplish	VERB
ajst-27334	31	7	occlusion	occlusion	NOUN
ajst-27334	31	8	detection	detection	NOUN
ajst-27334	31	9	using	use	VERB
ajst-27334	31	10	a	a	DET
ajst-27334	31	11	vgg16	vgg16	NOUN
ajst-27334	31	12	network	network	NOUN
ajst-27334	31	13	,	,	PUNCT
ajst-27334	31	14	conditional	conditional	ADJ
ajst-27334	31	15	variational	variational	ADJ
ajst-27334	31	16	auto	auto	NOUN
ajst-27334	31	17	-	-	PUNCT
ajst-27334	31	18	encoder	encoder	NOUN
ajst-27334	31	19	for	for	ADP
ajst-27334	31	20	feature	feature	NOUN
ajst-27334	31	21	encoding	encoding	NOUN
ajst-27334	31	22	,	,	PUNCT
ajst-27334	31	23	and	and	CCONJ
ajst-27334	31	24	bi	bi	ADJ
ajst-27334	31	25	-	-	ADJ
ajst-27334	31	26	directional	directional	ADJ
ajst-27334	31	27	long	long	ADJ
ajst-27334	31	28	short	short	ADJ
ajst-27334	31	29	term	term	NOUN
ajst-27334	31	30	memory	memory	NOUN
ajst-27334	31	31	(	(	PUNCT
ajst-27334	31	32	bi	bi	NOUN
ajst-27334	31	33	-	-	ADJ
ajst-27334	31	34	lstm	lstm	ADJ
ajst-27334	31	35	)	)	PUNCT
ajst-27334	31	36	for	for	ADP
ajst-27334	31	37	predicting	predict	VERB
ajst-27334	31	38	occluded	occluded	ADJ
ajst-27334	31	39	frames	frame	NOUN
ajst-27334	31	40	.	.	PUNCT
ajst-27334	32	1	finally	finally	ADV
ajst-27334	32	2	the	the	DET
ajst-27334	32	3	image	image	NOUN
ajst-27334	32	4	reconstruction	reconstruction	NOUN
ajst-27334	32	5	is	be	AUX
ajst-27334	32	6	done	do	VERB
ajst-27334	32	7	by	by	ADP
ajst-27334	32	8	decoder	decoder	NOUN
ajst-27334	32	9	.	.	PUNCT
ajst-27334	33	1	encouraged	encourage	VERB
ajst-27334	33	2	by	by	ADP
ajst-27334	33	3	the	the	DET
ajst-27334	33	4	above	above	ADJ
ajst-27334	33	5	research	research	NOUN
ajst-27334	33	6	results	result	NOUN
ajst-27334	33	7	,	,	PUNCT
ajst-27334	33	8	this	this	DET
ajst-27334	33	9	paper	paper	NOUN
ajst-27334	33	10	proposes	propose	VERB
ajst-27334	33	11	a	a	DET
ajst-27334	33	12	gait	gait	ADJ
ajst-27334	33	13	recognition	recognition	NOUN
ajst-27334	33	14	method	method	NOUN
ajst-27334	33	15	based	base	VERB
ajst-27334	33	16	on	on	ADP
ajst-27334	33	17	the	the	DET
ajst-27334	33	18	transfer	transfer	NOUN
ajst-27334	33	19	features	feature	NOUN
ajst-27334	33	20	of	of	ADP
ajst-27334	33	21	the	the	DET
ajst-27334	33	22	densenet201	densenet201	PROPN
ajst-27334	33	23	deep	deep	ADJ
ajst-27334	33	24	network	network	NOUN
ajst-27334	33	25	as	as	SCONJ
ajst-27334	33	26	follows	follow	VERB
ajst-27334	33	27	:	:	PUNCT
ajst-27334	33	28	(	(	PUNCT
ajst-27334	33	29	1	1	X
ajst-27334	33	30	)	)	PUNCT
ajst-27334	33	31	considering	consider	VERB
ajst-27334	33	32	the	the	DET
ajst-27334	33	33	variable	variable	ADJ
ajst-27334	33	34	regions	region	NOUN
ajst-27334	33	35	during	during	ADP
ajst-27334	33	36	the	the	DET
ajst-27334	33	37	pedestrian	pedestrian	NOUN
ajst-27334	33	38	's	's	PART
ajst-27334	33	39	walking	walking	NOUN
ajst-27334	33	40	process	process	NOUN
ajst-27334	33	41	,	,	PUNCT
ajst-27334	33	42	the	the	DET
ajst-27334	33	43	arm	arm	NOUN
ajst-27334	33	44	and	and	CCONJ
ajst-27334	33	45	leg	leg	NOUN
ajst-27334	33	46	regions	region	NOUN
ajst-27334	33	47	in	in	ADP
ajst-27334	33	48	the	the	DET
ajst-27334	33	49	pedestrian	pedestrian	NOUN
ajst-27334	33	50	image	image	NOUN
ajst-27334	33	51	are	be	AUX
ajst-27334	33	52	segmented	segment	VERB
ajst-27334	33	53	to	to	PART
ajst-27334	33	54	highlight	highlight	VERB
ajst-27334	33	55	the	the	DET
ajst-27334	33	56	differentiating	differentiate	VERB
ajst-27334	33	57	information	information	NOUN
ajst-27334	33	58	of	of	ADP
ajst-27334	33	59	the	the	DET
ajst-27334	33	60	pedestrian	pedestrian	NOUN
ajst-27334	33	61	's	's	PART
ajst-27334	33	62	identity	identity	NOUN
ajst-27334	33	63	.	.	PUNCT
ajst-27334	34	1	(	(	PUNCT
ajst-27334	34	2	2	2	X
ajst-27334	34	3	)	)	PUNCT
ajst-27334	34	4	using	use	VERB
ajst-27334	34	5	the	the	DET
ajst-27334	34	6	densenet201	densenet201	PROPN
ajst-27334	34	7	deep	deep	ADJ
ajst-27334	34	8	transfer	transfer	NOUN
ajst-27334	34	9	learning	learn	VERB
ajst-27334	34	10	network	network	NOUN
ajst-27334	34	11	pre	pre	VERB
ajst-27334	34	12	-	-	VERB
ajst-27334	34	13	trained	train	VERB
ajst-27334	34	14	on	on	ADP
ajst-27334	34	15	imagenet	imagenet	NOUN
ajst-27334	34	16	as	as	SCONJ
ajst-27334	34	17	a	a	DET
ajst-27334	34	18	feature	feature	NOUN
ajst-27334	34	19	extractor	extractor	NOUN
ajst-27334	34	20	can	can	AUX
ajst-27334	34	21	efficiently	efficiently	ADV
ajst-27334	34	22	and	and	CCONJ
ajst-27334	34	23	quickly	quickly	ADV
ajst-27334	34	24	complete	complete	VERB
ajst-27334	34	25	the	the	DET
ajst-27334	34	26	extraction	extraction	NOUN
ajst-27334	34	27	of	of	ADP
ajst-27334	34	28	identity	identity	NOUN
ajst-27334	34	29	features	feature	NOUN
ajst-27334	34	30	.	.	PUNCT
ajst-27334	35	1	(	(	PUNCT
ajst-27334	35	2	3	3	X
ajst-27334	35	3	)	)	PUNCT
ajst-27334	35	4	the	the	DET
ajst-27334	35	5	global	global	ADJ
ajst-27334	35	6	identity	identity	NOUN
ajst-27334	35	7	information	information	NOUN
ajst-27334	35	8	and	and	CCONJ
ajst-27334	35	9	local	local	ADJ
ajst-27334	35	10	identity	identity	NOUN
ajst-27334	35	11	information	information	NOUN
ajst-27334	35	12	are	be	AUX
ajst-27334	35	13	fused	fuse	VERB
ajst-27334	35	14	to	to	PART
ajst-27334	35	15	fully	fully	ADV
ajst-27334	35	16	reflect	reflect	VERB
ajst-27334	35	17	the	the	DET
ajst-27334	35	18	individual	individual	ADJ
ajst-27334	35	19	differences	difference	NOUN
ajst-27334	35	20	in	in	ADP
ajst-27334	35	21	pedestrian	pedestrian	NOUN
ajst-27334	35	22	identities	identity	NOUN
ajst-27334	35	23	,	,	PUNCT
ajst-27334	35	24	helping	help	VERB
ajst-27334	35	25	to	to	PART
ajst-27334	35	26	further	far	ADV
ajst-27334	35	27	improve	improve	VERB
ajst-27334	35	28	the	the	DET
ajst-27334	35	29	gait	gait	ADJ
ajst-27334	35	30	recognition	recognition	NOUN
ajst-27334	35	31	rate	rate	NOUN
ajst-27334	35	32	.	.	PUNCT
ajst-27334	36	1	140	140	NUM
ajst-27334	36	2	2	2	NUM
ajst-27334	36	3	.	.	PUNCT
ajst-27334	37	1	the	the	DET
ajst-27334	37	2	proposed	propose	VERB
ajst-27334	37	3	algorithm	algorithm	NOUN
ajst-27334	37	4	2.1	2.1	NUM
ajst-27334	37	5	.	.	PUNCT
ajst-27334	38	1	the	the	DET
ajst-27334	38	2	segmentation	segmentation	NOUN
ajst-27334	38	3	of	of	ADP
ajst-27334	38	4	gait	gait	ADJ
ajst-27334	38	5	image	image	NOUN
ajst-27334	38	6	regions	region	NOUN
ajst-27334	38	7	the	the	DET
ajst-27334	38	8	human	human	ADJ
ajst-27334	38	9	body	body	NOUN
ajst-27334	38	10	engages	engage	VERB
ajst-27334	38	11	in	in	ADP
ajst-27334	38	12	a	a	DET
ajst-27334	38	13	continuous	continuous	ADJ
ajst-27334	38	14	and	and	CCONJ
ajst-27334	38	15	cyclical	cyclical	ADJ
ajst-27334	38	16	movement	movement	NOUN
ajst-27334	38	17	during	during	ADP
ajst-27334	38	18	walking	walk	VERB
ajst-27334	38	19	.	.	PUNCT
ajst-27334	39	1	this	this	PRON
ajst-27334	39	2	is	be	AUX
ajst-27334	39	3	why	why	SCONJ
ajst-27334	39	4	individuals	individual	NOUN
ajst-27334	39	5	can	can	AUX
ajst-27334	39	6	recognize	recognize	VERB
ajst-27334	39	7	one	one	NUM
ajst-27334	39	8	another	another	DET
ajst-27334	39	9	from	from	ADP
ajst-27334	39	10	a	a	DET
ajst-27334	39	11	distance	distance	NOUN
ajst-27334	39	12	based	base	VERB
ajst-27334	39	13	on	on	ADP
ajst-27334	39	14	their	their	PRON
ajst-27334	39	15	walking	walking	NOUN
ajst-27334	39	16	postures	posture	NOUN
ajst-27334	39	17	;	;	PUNCT
ajst-27334	39	18	different	different	ADJ
ajst-27334	39	19	people	people	NOUN
ajst-27334	39	20	exhibit	exhibit	VERB
ajst-27334	39	21	distinct	distinct	ADJ
ajst-27334	39	22	walking	walking	NOUN
ajst-27334	39	23	styles	style	NOUN
ajst-27334	39	24	.	.	PUNCT
ajst-27334	40	1	throughout	throughout	ADP
ajst-27334	40	2	the	the	DET
ajst-27334	40	3	walking	walking	NOUN
ajst-27334	40	4	process	process	NOUN
ajst-27334	40	5	,	,	PUNCT
ajst-27334	40	6	various	various	ADJ
ajst-27334	40	7	parts	part	NOUN
ajst-27334	40	8	of	of	ADP
ajst-27334	40	9	the	the	DET
ajst-27334	40	10	body	body	NOUN
ajst-27334	40	11	work	work	NOUN
ajst-27334	40	12	in	in	ADP
ajst-27334	40	13	harmony	harmony	NOUN
ajst-27334	40	14	to	to	PART
ajst-27334	40	15	facilitate	facilitate	VERB
ajst-27334	40	16	forward	forward	ADJ
ajst-27334	40	17	movement	movement	NOUN
ajst-27334	40	18	,	,	PUNCT
ajst-27334	40	19	with	with	ADP
ajst-27334	40	20	varying	vary	VERB
ajst-27334	40	21	degrees	degree	NOUN
ajst-27334	40	22	of	of	ADP
ajst-27334	40	23	motion	motion	NOUN
ajst-27334	40	24	among	among	ADP
ajst-27334	40	25	each	each	DET
ajst-27334	40	26	body	body	NOUN
ajst-27334	40	27	part	part	NOUN
ajst-27334	40	28	.	.	PUNCT
ajst-27334	41	1	according	accord	VERB
ajst-27334	41	2	to	to	ADP
ajst-27334	41	3	an	an	DET
ajst-27334	41	4	analysis	analysis	NOUN
ajst-27334	41	5	of	of	ADP
ajst-27334	41	6	human	human	ADJ
ajst-27334	41	7	physiology	physiology	NOUN
ajst-27334	41	8	,	,	PUNCT
ajst-27334	41	9	the	the	DET
ajst-27334	41	10	following	follow	VERB
ajst-27334	41	11	observations	observation	NOUN
ajst-27334	41	12	can	can	AUX
ajst-27334	41	13	be	be	AUX
ajst-27334	41	14	made	make	VERB
ajst-27334	41	15	:	:	PUNCT
ajst-27334	41	16	(	(	PUNCT
ajst-27334	41	17	1	1	X
ajst-27334	41	18	)	)	PUNCT
ajst-27334	41	19	during	during	ADP
ajst-27334	41	20	walking	walking	NOUN
ajst-27334	41	21	,	,	PUNCT
ajst-27334	41	22	the	the	DET
ajst-27334	41	23	leg	leg	NOUN
ajst-27334	41	24	region	region	NOUN
ajst-27334	41	25	exhibits	exhibit	VERB
ajst-27334	41	26	the	the	DET
ajst-27334	41	27	greatest	great	ADJ
ajst-27334	41	28	amplitude	amplitude	NOUN
ajst-27334	41	29	of	of	ADP
ajst-27334	41	30	movement	movement	NOUN
ajst-27334	41	31	,	,	PUNCT
ajst-27334	41	32	while	while	SCONJ
ajst-27334	41	33	the	the	DET
ajst-27334	41	34	head	head	NOUN
ajst-27334	41	35	shows	show	VERB
ajst-27334	41	36	minimal	minimal	ADJ
ajst-27334	41	37	motion	motion	NOUN
ajst-27334	41	38	,	,	PUNCT
ajst-27334	41	39	characterized	characterize	VERB
ajst-27334	41	40	by	by	ADP
ajst-27334	41	41	only	only	ADV
ajst-27334	41	42	a	a	DET
ajst-27334	41	43	slight	slight	ADJ
ajst-27334	41	44	bobbing	bobbing	NOUN
ajst-27334	41	45	.	.	PUNCT
ajst-27334	42	1	(	(	PUNCT
ajst-27334	42	2	2	2	X
ajst-27334	42	3	)	)	PUNCT
ajst-27334	42	4	the	the	DET
ajst-27334	42	5	amplitude	amplitude	NOUN
ajst-27334	42	6	of	of	ADP
ajst-27334	42	7	swinging	swinge	VERB
ajst-27334	42	8	motions	motion	NOUN
ajst-27334	42	9	also	also	ADV
ajst-27334	42	10	varies	vary	VERB
ajst-27334	42	11	;	;	PUNCT
ajst-27334	42	12	some	some	DET
ajst-27334	42	13	individuals	individual	NOUN
ajst-27334	42	14	have	have	VERB
ajst-27334	42	15	a	a	DET
ajst-27334	42	16	pronounced	pronounce	VERB
ajst-27334	42	17	forearm	forearm	NOUN
ajst-27334	42	18	swing	swing	NOUN
ajst-27334	42	19	,	,	PUNCT
ajst-27334	42	20	while	while	SCONJ
ajst-27334	42	21	others	other	NOUN
ajst-27334	42	22	exhibit	exhibit	VERB
ajst-27334	42	23	a	a	DET
ajst-27334	42	24	more	more	ADV
ajst-27334	42	25	significant	significant	ADJ
ajst-27334	42	26	backward	backward	ADJ
ajst-27334	42	27	arm	arm	NOUN
ajst-27334	42	28	swing	swing	NOUN
ajst-27334	42	29	.	.	PUNCT
ajst-27334	43	1	additionally	additionally	ADV
ajst-27334	43	2	,	,	PUNCT
ajst-27334	43	3	the	the	DET
ajst-27334	43	4	range	range	NOUN
ajst-27334	43	5	of	of	ADP
ajst-27334	43	6	motion	motion	NOUN
ajst-27334	43	7	in	in	ADP
ajst-27334	43	8	the	the	DET
ajst-27334	43	9	front	front	ADJ
ajst-27334	43	10	and	and	CCONJ
ajst-27334	43	11	back	back	ADJ
ajst-27334	43	12	leg	leg	NOUN
ajst-27334	43	13	movements	movement	NOUN
ajst-27334	43	14	differs	differ	VERB
ajst-27334	43	15	among	among	ADP
ajst-27334	43	16	individuals	individual	NOUN
ajst-27334	43	17	.	.	PUNCT
ajst-27334	44	1	in	in	ADP
ajst-27334	44	2	light	light	NOUN
ajst-27334	44	3	of	of	ADP
ajst-27334	44	4	these	these	DET
ajst-27334	44	5	observations	observation	NOUN
ajst-27334	44	6	,	,	PUNCT
ajst-27334	44	7	it	it	PRON
ajst-27334	44	8	is	be	AUX
ajst-27334	44	9	useful	useful	ADJ
ajst-27334	44	10	to	to	PART
ajst-27334	44	11	categorize	categorize	VERB
ajst-27334	44	12	the	the	DET
ajst-27334	44	13	human	human	ADJ
ajst-27334	44	14	body	body	NOUN
ajst-27334	44	15	into	into	ADP
ajst-27334	44	16	left	left	ADJ
ajst-27334	44	17	and	and	CCONJ
ajst-27334	44	18	right	right	ADJ
ajst-27334	44	19	regions	region	NOUN
ajst-27334	44	20	,	,	PUNCT
ajst-27334	44	21	as	as	ADV
ajst-27334	44	22	well	well	ADV
ajst-27334	44	23	as	as	ADP
ajst-27334	44	24	upper	upper	ADJ
ajst-27334	44	25	and	and	CCONJ
ajst-27334	44	26	lower	low	ADJ
ajst-27334	44	27	regions	region	NOUN
ajst-27334	44	28	,	,	PUNCT
ajst-27334	44	29	as	as	SCONJ
ajst-27334	44	30	illustrated	illustrate	VERB
ajst-27334	44	31	in	in	ADP
ajst-27334	44	32	the	the	DET
ajst-27334	44	33	left	left	ADJ
ajst-27334	44	34	half	half	NOUN
ajst-27334	44	35	of	of	ADP
ajst-27334	44	36	figure	figure	NOUN
ajst-27334	44	37	1	1	NUM
ajst-27334	44	38	.	.	PUNCT
ajst-27334	44	39	figure	figure	NOUN
ajst-27334	44	40	1	1	NUM
ajst-27334	44	41	.	.	PUNCT
ajst-27334	45	1	human	human	ADJ
ajst-27334	45	2	body	body	NOUN
ajst-27334	45	3	segmentation	segmentation	NOUN
ajst-27334	45	4	as	as	SCONJ
ajst-27334	45	5	the	the	DET
ajst-27334	45	6	experiments	experiment	NOUN
ajst-27334	45	7	continue	continue	VERB
ajst-27334	46	1	,	,	PUNCT
ajst-27334	46	2	it	it	PRON
ajst-27334	46	3	is	be	AUX
ajst-27334	46	4	found	find	VERB
ajst-27334	46	5	that	that	SCONJ
ajst-27334	46	6	the	the	DET
ajst-27334	46	7	human	human	ADJ
ajst-27334	46	8	walking	walk	VERB
ajst-27334	46	9	image	image	NOUN
ajst-27334	46	10	differences	difference	NOUN
ajst-27334	46	11	are	be	AUX
ajst-27334	46	12	mainly	mainly	ADV
ajst-27334	46	13	reflected	reflect	VERB
ajst-27334	46	14	in	in	ADP
ajst-27334	46	15	the	the	DET
ajst-27334	46	16	arm	arm	NOUN
ajst-27334	46	17	region	region	NOUN
ajst-27334	46	18	and	and	CCONJ
ajst-27334	46	19	the	the	DET
ajst-27334	46	20	leg	leg	NOUN
ajst-27334	46	21	region	region	NOUN
ajst-27334	46	22	,	,	PUNCT
ajst-27334	46	23	the	the	DET
ajst-27334	46	24	first	first	ADJ
ajst-27334	46	25	human	human	ADJ
ajst-27334	46	26	body	body	NOUN
ajst-27334	46	27	region	region	NOUN
ajst-27334	46	28	division	division	NOUN
ajst-27334	46	29	failed	fail	VERB
ajst-27334	46	30	to	to	PART
ajst-27334	46	31	focus	focus	VERB
ajst-27334	46	32	on	on	ADP
ajst-27334	46	33	the	the	DET
ajst-27334	46	34	consideration	consideration	NOUN
ajst-27334	46	35	of	of	ADP
ajst-27334	46	36	the	the	DET
ajst-27334	46	37	change	change	NOUN
ajst-27334	46	38	of	of	ADP
ajst-27334	46	39	the	the	DET
ajst-27334	46	40	region	region	NOUN
ajst-27334	46	41	of	of	ADP
ajst-27334	46	42	great	great	ADJ
ajst-27334	46	43	variability	variability	NOUN
ajst-27334	46	44	,	,	PUNCT
ajst-27334	46	45	so	so	CCONJ
ajst-27334	46	46	the	the	DET
ajst-27334	46	47	final	final	ADJ
ajst-27334	46	48	experiments	experiment	NOUN
ajst-27334	46	49	used	use	VERB
ajst-27334	46	50	the	the	DET
ajst-27334	46	51	second	second	ADJ
ajst-27334	46	52	human	human	ADJ
ajst-27334	46	53	body	body	NOUN
ajst-27334	46	54	region	region	NOUN
ajst-27334	46	55	division	division	NOUN
ajst-27334	46	56	,	,	PUNCT
ajst-27334	46	57	the	the	DET
ajst-27334	46	58	human	human	ADJ
ajst-27334	46	59	body	body	NOUN
ajst-27334	46	60	silhouette	silhouette	NOUN
ajst-27334	46	61	contour	contour	NOUN
ajst-27334	46	62	map	map	NOUN
ajst-27334	46	63	for	for	ADP
ajst-27334	46	64	the	the	DET
ajst-27334	46	65	arm	arm	NOUN
ajst-27334	46	66	region	region	NOUN
ajst-27334	46	67	and	and	CCONJ
ajst-27334	46	68	the	the	DET
ajst-27334	46	69	leg	leg	NOUN
ajst-27334	46	70	region	region	NOUN
ajst-27334	46	71	to	to	PART
ajst-27334	46	72	do	do	VERB
ajst-27334	46	73	the	the	DET
ajst-27334	46	74	slice	slice	NOUN
ajst-27334	46	75	,	,	PUNCT
ajst-27334	46	76	as	as	SCONJ
ajst-27334	46	77	shown	show	VERB
ajst-27334	46	78	in	in	ADP
ajst-27334	46	79	the	the	DET
ajst-27334	46	80	right	right	ADJ
ajst-27334	46	81	half	half	NOUN
ajst-27334	46	82	of	of	ADP
ajst-27334	46	83	figure	figure	NOUN
ajst-27334	46	84	1	1	NUM
ajst-27334	46	85	.	.	PUNCT
ajst-27334	46	86	as	as	SCONJ
ajst-27334	46	87	shown	show	VERB
ajst-27334	46	88	in	in	ADP
ajst-27334	46	89	figure	figure	NOUN
ajst-27334	46	90	2	2	NUM
ajst-27334	46	91	below	below	ADV
ajst-27334	46	92	,	,	PUNCT
ajst-27334	46	93	in	in	ADP
ajst-27334	46	94	order	order	NOUN
ajst-27334	46	95	to	to	PART
ajst-27334	46	96	facilitate	facilitate	VERB
ajst-27334	46	97	the	the	DET
ajst-27334	46	98	smooth	smooth	ADJ
ajst-27334	46	99	running	running	NOUN
ajst-27334	46	100	of	of	ADP
ajst-27334	46	101	the	the	DET
ajst-27334	46	102	cut	cut	VERB
ajst-27334	46	103	-	-	PUNCT
ajst-27334	46	104	off	off	ADP
ajst-27334	46	105	experiment	experiment	NOUN
ajst-27334	46	106	,	,	PUNCT
ajst-27334	46	107	a	a	DET
ajst-27334	46	108	uniform	uniform	ADJ
ajst-27334	46	109	cut	cut	VERB
ajst-27334	46	110	-	-	PUNCT
ajst-27334	46	111	off	off	ADP
ajst-27334	46	112	criterion	criterion	NOUN
ajst-27334	46	113	was	be	AUX
ajst-27334	46	114	delineated	delineate	VERB
ajst-27334	46	115	to	to	PART
ajst-27334	46	116	take	take	VERB
ajst-27334	46	117	the	the	DET
ajst-27334	46	118	height	height	NOUN
ajst-27334	46	119	of	of	ADP
ajst-27334	46	120	the	the	DET
ajst-27334	46	121	human	human	ADJ
ajst-27334	46	122	side	side	NOUN
ajst-27334	46	123	profile	profile	NOUN
ajst-27334	46	124	image	image	NOUN
ajst-27334	46	125	as	as	ADP
ajst-27334	46	126	the	the	DET
ajst-27334	46	127	benchmark	benchmark	NOUN
ajst-27334	46	128	,	,	PUNCT
ajst-27334	46	129	and	and	CCONJ
ajst-27334	46	130	the	the	DET
ajst-27334	46	131	part	part	NOUN
ajst-27334	46	132	of	of	ADP
ajst-27334	46	133	the	the	DET
ajst-27334	46	134	cut	cut	VERB
ajst-27334	46	135	-	-	PUNCT
ajst-27334	46	136	off	off	ADP
ajst-27334	46	137	area	area	NOUN
ajst-27334	46	138	to	to	ADP
ajst-27334	46	139	as	as	SCONJ
ajst-27334	46	140	the	the	DET
ajst-27334	46	141	arm	arm	NOUN
ajst-27334	46	142	swing	swing	VERB
ajst-27334	46	143	part	part	NOUN
ajst-27334	46	144	and	and	CCONJ
ajst-27334	46	145	the	the	DET
ajst-27334	46	146	part	part	NOUN
ajst-27334	46	147	of	of	ADP
ajst-27334	46	148	the	the	DET
ajst-27334	46	149	cut	cut	VERB
ajst-27334	46	150	-	-	PUNCT
ajst-27334	46	151	off	off	ADP
ajst-27334	46	152	area	area	NOUN
ajst-27334	46	153	to	to	ADP
ajst-27334	46	154	as	as	ADP
ajst-27334	46	155	the	the	DET
ajst-27334	46	156	leg	leg	NOUN
ajst-27334	46	157	swing	swing	NOUN
ajst-27334	46	158	part	part	NOUN
ajst-27334	46	159	,	,	PUNCT
ajst-27334	46	160	as	as	SCONJ
ajst-27334	46	161	shown	show	VERB
ajst-27334	46	162	in	in	ADP
ajst-27334	46	163	equation	equation	NOUN
ajst-27334	46	164	(	(	PUNCT
ajst-27334	46	165	1	1	NUM
ajst-27334	46	166	)	)	PUNCT
ajst-27334	46	167	.	.	PUNCT
ajst-27334	47	1	figure	figure	NOUN
ajst-27334	47	2	2	2	NUM
ajst-27334	47	3	.	.	PUNCT
ajst-27334	48	1	the	the	DET
ajst-27334	48	2	segmentation	segmentation	NOUN
ajst-27334	48	3	of	of	ADP
ajst-27334	48	4	gait	gait	ADJ
ajst-27334	48	5	image	image	NOUN
ajst-27334	48	6	regions	region	NOUN
ajst-27334	48	7	𝑊	𝑊	PROPN
ajst-27334	48	8	𝑆	𝑆	PROPN
ajst-27334	48	9	𝐻	𝐻	PROPN
ajst-27334	48	10	:	:	PUNCT
ajst-27334	48	11	𝐻	𝐻	PROPN
ajst-27334	48	12	𝑊	𝑊	PROPN
ajst-27334	48	13	𝑆	𝑆	NOUN
ajst-27334	48	14	𝐻	𝐻	PROPN
ajst-27334	48	15	:	:	PUNCT
ajst-27334	48	16	𝐻	𝐻	PROPN
ajst-27334	48	17	(	(	PUNCT
ajst-27334	48	18	1	1	NUM
ajst-27334	48	19	)	)	PUNCT
ajst-27334	48	20	where	where	SCONJ
ajst-27334	48	21	𝑆	𝑆	PROPN
ajst-27334	48	22	represents	represent	VERB
ajst-27334	48	23	the	the	DET
ajst-27334	48	24	entire	entire	ADJ
ajst-27334	48	25	body	body	NOUN
ajst-27334	48	26	contour	contour	NOUN
ajst-27334	48	27	region	region	NOUN
ajst-27334	48	28	,	,	PUNCT
ajst-27334	48	29	𝑊	𝑊	PROPN
ajst-27334	48	30	represents	represent	VERB
ajst-27334	48	31	the	the	DET
ajst-27334	48	32	arm	arm	NOUN
ajst-27334	48	33	region	region	NOUN
ajst-27334	48	34	and	and	CCONJ
ajst-27334	48	35	𝑊	𝑊	PROPN
ajst-27334	48	36	represents	represent	VERB
ajst-27334	48	37	the	the	DET
ajst-27334	48	38	leg	leg	NOUN
ajst-27334	48	39	region	region	NOUN
ajst-27334	48	40	.	.	PUNCT
ajst-27334	49	1	2.2	2.2	NUM
ajst-27334	49	2	.	.	PUNCT
ajst-27334	50	1	the	the	DET
ajst-27334	50	2	densenet201	densenet201	PROPN
ajst-27334	50	3	deep	deep	ADJ
ajst-27334	50	4	transfer	transfer	NOUN
ajst-27334	50	5	learning	learn	VERB
ajst-27334	50	6	network	network	NOUN
ajst-27334	50	7	the	the	DET
ajst-27334	50	8	more	more	ADV
ajst-27334	50	9	complex	complex	ADJ
ajst-27334	50	10	the	the	DET
ajst-27334	50	11	deep	deep	ADJ
ajst-27334	50	12	convolutional	convolutional	ADJ
ajst-27334	50	13	neural	neural	ADJ
ajst-27334	50	14	network	network	NOUN
ajst-27334	50	15	structure	structure	NOUN
ajst-27334	50	16	,	,	PUNCT
ajst-27334	50	17	the	the	PRON
ajst-27334	50	18	better	well	ADJ
ajst-27334	50	19	the	the	DET
ajst-27334	50	20	classification	classification	NOUN
ajst-27334	50	21	and	and	CCONJ
ajst-27334	50	22	recognition	recognition	NOUN
ajst-27334	50	23	effect	effect	NOUN
ajst-27334	50	24	will	will	AUX
ajst-27334	50	25	be	be	AUX
ajst-27334	50	26	,	,	PUNCT
ajst-27334	50	27	but	but	CCONJ
ajst-27334	50	28	the	the	DET
ajst-27334	50	29	deepening	deepening	NOUN
ajst-27334	50	30	of	of	ADP
ajst-27334	50	31	the	the	DET
ajst-27334	50	32	network	network	NOUN
ajst-27334	50	33	layers	layer	NOUN
ajst-27334	50	34	may	may	AUX
ajst-27334	50	35	bring	bring	VERB
ajst-27334	50	36	the	the	DET
ajst-27334	50	37	gradient	gradient	ADJ
ajst-27334	50	38	disappearance	disappearance	NOUN
ajst-27334	50	39	,	,	PUNCT
ajst-27334	50	40	network	network	NOUN
ajst-27334	50	41	degradation	degradation	NOUN
ajst-27334	50	42	and	and	CCONJ
ajst-27334	50	43	other	other	ADJ
ajst-27334	50	44	problems	problem	NOUN
ajst-27334	50	45	.	.	PUNCT
ajst-27334	51	1	this	this	DET
ajst-27334	51	2	problem	problem	NOUN
ajst-27334	51	3	can	can	AUX
ajst-27334	51	4	be	be	AUX
ajst-27334	51	5	well	well	ADV
ajst-27334	51	6	solved	solve	VERB
ajst-27334	51	7	by	by	ADP
ajst-27334	51	8	using	use	VERB
ajst-27334	51	9	densenet201	densenet201	PROPN
ajst-27334	51	10	transfer	transfer	NOUN
ajst-27334	51	11	learning	learning	NOUN
ajst-27334	51	12	network	network	NOUN
ajst-27334	51	13	,	,	PUNCT
ajst-27334	51	14	in	in	ADP
ajst-27334	51	15	which	which	PRON
ajst-27334	51	16	each	each	DET
ajst-27334	51	17	layer	layer	NOUN
ajst-27334	51	18	is	be	AUX
ajst-27334	51	19	connected	connect	VERB
ajst-27334	51	20	to	to	ADP
ajst-27334	51	21	all	all	DET
ajst-27334	51	22	previous	previous	ADJ
ajst-27334	51	23	layers	layer	NOUN
ajst-27334	51	24	in	in	ADP
ajst-27334	51	25	the	the	DET
ajst-27334	51	26	dense	dense	ADJ
ajst-27334	51	27	connection	connection	NOUN
ajst-27334	51	28	module	module	NOUN
ajst-27334	51	29	of	of	ADP
ajst-27334	51	30	the	the	DET
ajst-27334	51	31	network	network	NOUN
ajst-27334	51	32	structure	structure	NOUN
ajst-27334	51	33	to	to	PART
ajst-27334	51	34	realize	realize	VERB
ajst-27334	51	35	feature	feature	NOUN
ajst-27334	51	36	reuse	reuse	NOUN
ajst-27334	51	37	.	.	PUNCT
ajst-27334	52	1	the	the	DET
ajst-27334	52	2	structure	structure	NOUN
ajst-27334	52	3	of	of	ADP
ajst-27334	52	4	human	human	ADJ
ajst-27334	52	5	gait	gait	NOUN
ajst-27334	52	6	is	be	AUX
ajst-27334	52	7	more	more	ADV
ajst-27334	52	8	complex	complex	ADJ
ajst-27334	52	9	,	,	PUNCT
ajst-27334	52	10	and	and	CCONJ
ajst-27334	52	11	the	the	DET
ajst-27334	52	12	gait	gait	ADJ
ajst-27334	52	13	image	image	NOUN
ajst-27334	52	14	during	during	ADP
ajst-27334	52	15	the	the	DET
ajst-27334	52	16	movement	movement	NOUN
ajst-27334	52	17	process	process	NOUN
ajst-27334	52	18	contains	contain	VERB
ajst-27334	52	19	rich	rich	ADJ
ajst-27334	52	20	feature	feature	NOUN
ajst-27334	52	21	information	information	NOUN
ajst-27334	52	22	,	,	PUNCT
ajst-27334	52	23	using	use	VERB
ajst-27334	52	24	densenet201	densenet201	PROPN
ajst-27334	52	25	to	to	PART
ajst-27334	52	26	combine	combine	VERB
ajst-27334	52	27	shallow	shallow	ADJ
ajst-27334	52	28	features	feature	NOUN
ajst-27334	52	29	and	and	CCONJ
ajst-27334	52	30	deep	deep	ADJ
ajst-27334	52	31	features	feature	NOUN
ajst-27334	52	32	can	can	AUX
ajst-27334	52	33	extract	extract	VERB
ajst-27334	52	34	gait	gait	NOUN
ajst-27334	52	35	features	feature	NOUN
ajst-27334	52	36	with	with	ADP
ajst-27334	52	37	stronger	strong	ADJ
ajst-27334	52	38	characterization	characterization	NOUN
ajst-27334	52	39	ability	ability	NOUN
ajst-27334	52	40	.	.	PUNCT
ajst-27334	53	1	as	as	SCONJ
ajst-27334	53	2	shown	show	VERB
ajst-27334	53	3	in	in	ADP
ajst-27334	53	4	figure	figure	NOUN
ajst-27334	53	5	3	3	NUM
ajst-27334	53	6	,	,	PUNCT
ajst-27334	53	7	the	the	DET
ajst-27334	53	8	network	network	NOUN
ajst-27334	53	9	of	of	ADP
ajst-27334	53	10	densenet201	densenet201	PROPN
ajst-27334	53	11	is	be	AUX
ajst-27334	53	12	mainly	mainly	ADV
ajst-27334	53	13	composed	compose	VERB
ajst-27334	53	14	of	of	ADP
ajst-27334	53	15	four	four	NUM
ajst-27334	53	16	parts	part	NOUN
ajst-27334	53	17	,	,	PUNCT
ajst-27334	53	18	namely	namely	ADV
ajst-27334	53	19	:	:	PUNCT
ajst-27334	53	20	dense	dense	ADJ
ajst-27334	53	21	block	block	NOUN
ajst-27334	53	22	,	,	PUNCT
ajst-27334	53	23	transition	transition	NOUN
ajst-27334	53	24	layer	layer	NOUN
ajst-27334	53	25	,	,	PUNCT
ajst-27334	53	26	global	global	ADJ
ajst-27334	53	27	average	average	ADJ
ajst-27334	53	28	pooling	pooling	NOUN
ajst-27334	53	29	and	and	CCONJ
ajst-27334	53	30	softmax	softmax	NOUN
ajst-27334	53	31	.	.	PUNCT
ajst-27334	54	1	the	the	DET
ajst-27334	54	2	network	network	NOUN
ajst-27334	54	3	has	have	VERB
ajst-27334	54	4	two	two	NUM
ajst-27334	54	5	main	main	ADJ
ajst-27334	54	6	features	feature	NOUN
ajst-27334	54	7	:	:	PUNCT
ajst-27334	54	8	one	one	NUM
ajst-27334	54	9	is	be	AUX
ajst-27334	54	10	that	that	SCONJ
ajst-27334	54	11	it	it	PRON
ajst-27334	54	12	establishes	establish	VERB
ajst-27334	54	13	a	a	DET
ajst-27334	54	14	dense	dense	ADJ
ajst-27334	54	15	connection	connection	NOUN
ajst-27334	54	16	between	between	ADP
ajst-27334	54	17	all	all	DET
ajst-27334	54	18	the	the	DET
ajst-27334	54	19	previous	previous	ADJ
ajst-27334	54	20	layers	layer	NOUN
ajst-27334	54	21	and	and	CCONJ
ajst-27334	54	22	the	the	DET
ajst-27334	54	23	later	later	ADJ
ajst-27334	54	24	layers	layer	NOUN
ajst-27334	54	25	,	,	PUNCT
ajst-27334	54	26	and	and	CCONJ
ajst-27334	54	27	the	the	DET
ajst-27334	54	28	features	feature	NOUN
ajst-27334	54	29	can	can	AUX
ajst-27334	54	30	be	be	AUX
ajst-27334	54	31	reused	reuse	VERB
ajst-27334	54	32	;	;	PUNCT
ajst-27334	54	33	the	the	DET
ajst-27334	54	34	other	other	ADJ
ajst-27334	54	35	is	be	AUX
ajst-27334	54	36	that	that	SCONJ
ajst-27334	54	37	each	each	DET
ajst-27334	54	38	layer	layer	NOUN
ajst-27334	54	39	of	of	ADP
ajst-27334	54	40	the	the	DET
ajst-27334	54	41	network	network	NOUN
ajst-27334	54	42	structure	structure	NOUN
ajst-27334	54	43	is	be	AUX
ajst-27334	54	44	narrower	narrow	ADJ
ajst-27334	54	45	,	,	PUNCT
ajst-27334	54	46	which	which	PRON
ajst-27334	54	47	reduces	reduce	VERB
ajst-27334	54	48	the	the	DET
ajst-27334	54	49	learning	learning	NOUN
ajst-27334	54	50	redundancy	redundancy	NOUN
ajst-27334	54	51	.	.	PUNCT
ajst-27334	55	1	this	this	DET
ajst-27334	55	2	network	network	NOUN
ajst-27334	55	3	structure	structure	NOUN
ajst-27334	55	4	also	also	ADV
ajst-27334	55	5	has	have	VERB
ajst-27334	55	6	several	several	ADJ
ajst-27334	55	7	outstanding	outstanding	ADJ
ajst-27334	55	8	advantages	advantage	NOUN
ajst-27334	55	9	:	:	PUNCT
ajst-27334	55	10	it	it	PRON
ajst-27334	55	11	mitigates	mitigate	VERB
ajst-27334	55	12	gradient	gradient	ADJ
ajst-27334	55	13	vanishing	vanishing	NOUN
ajst-27334	55	14	,	,	PUNCT
ajst-27334	55	15	maximizes	maximize	VERB
ajst-27334	55	16	feature	feature	NOUN
ajst-27334	55	17	reuse	reuse	NOUN
ajst-27334	55	18	,	,	PUNCT
ajst-27334	55	19	makes	make	VERB
ajst-27334	55	20	the	the	DET
ajst-27334	55	21	network	network	NOUN
ajst-27334	55	22	parameters	parameter	NOUN
ajst-27334	55	23	better	well	ADV
ajst-27334	55	24	fitted	fit	VERB
ajst-27334	55	25	,	,	PUNCT
ajst-27334	55	26	and	and	CCONJ
ajst-27334	55	27	greatly	greatly	ADV
ajst-27334	55	28	reduces	reduce	VERB
ajst-27334	55	29	the	the	DET
ajst-27334	55	30	number	number	NOUN
ajst-27334	55	31	of	of	ADP
ajst-27334	55	32	parameters	parameter	NOUN
ajst-27334	55	33	.	.	PUNCT
ajst-27334	56	1	141	141	NUM
ajst-27334	56	2	figure	figure	NOUN
ajst-27334	56	3	3	3	NUM
ajst-27334	56	4	.	.	PUNCT
ajst-27334	56	5	detailed	detailed	ADJ
ajst-27334	56	6	structure	structure	NOUN
ajst-27334	56	7	of	of	ADP
ajst-27334	56	8	the	the	DET
ajst-27334	56	9	densenet201	densenet201	PROPN
ajst-27334	56	10	transfer	transfer	NOUN
ajst-27334	56	11	network	network	NOUN
ajst-27334	56	12	(	(	PUNCT
ajst-27334	56	13	1	1	NUM
ajst-27334	56	14	)	)	PUNCT
ajst-27334	56	15	dense	dense	ADJ
ajst-27334	56	16	block	block	NOUN
ajst-27334	56	17	in	in	ADP
ajst-27334	56	18	a	a	DET
ajst-27334	56	19	traditional	traditional	ADJ
ajst-27334	56	20	convolutional	convolutional	ADJ
ajst-27334	56	21	neural	neural	ADJ
ajst-27334	56	22	network	network	NOUN
ajst-27334	56	23	,	,	PUNCT
ajst-27334	56	24	if	if	SCONJ
ajst-27334	56	25	you	you	PRON
ajst-27334	56	26	have	have	VERB
ajst-27334	56	27	l	l	NOUN
ajst-27334	56	28	layers	layer	NOUN
ajst-27334	56	29	,	,	PUNCT
ajst-27334	56	30	then	then	ADV
ajst-27334	56	31	there	there	PRON
ajst-27334	56	32	will	will	AUX
ajst-27334	56	33	be	be	AUX
ajst-27334	56	34	l	l	NOUN
ajst-27334	56	35	connections	connection	NOUN
ajst-27334	56	36	;	;	PUNCT
ajst-27334	56	37	while	while	SCONJ
ajst-27334	56	38	in	in	ADP
ajst-27334	56	39	the	the	DET
ajst-27334	56	40	dense	dense	ADJ
ajst-27334	56	41	connectivity	connectivity	NOUN
ajst-27334	56	42	layer	layer	NOUN
ajst-27334	56	43	there	there	PRON
ajst-27334	56	44	will	will	AUX
ajst-27334	56	45	be	be	AUX
ajst-27334	56	46	l(l+1)/2	l(l+1)/2	PROPN
ajst-27334	56	47	connections	connection	NOUN
ajst-27334	56	48	in	in	ADP
ajst-27334	56	49	each	each	DET
ajst-27334	56	50	layer	layer	NOUN
ajst-27334	56	51	,	,	PUNCT
ajst-27334	56	52	because	because	SCONJ
ajst-27334	56	53	the	the	DET
ajst-27334	56	54	input	input	NOUN
ajst-27334	56	55	of	of	ADP
ajst-27334	56	56	each	each	DET
ajst-27334	56	57	layer	layer	NOUN
ajst-27334	56	58	is	be	AUX
ajst-27334	56	59	the	the	DET
ajst-27334	56	60	output	output	NOUN
ajst-27334	56	61	of	of	ADP
ajst-27334	56	62	all	all	DET
ajst-27334	56	63	the	the	DET
ajst-27334	56	64	previous	previous	ADJ
ajst-27334	56	65	layers	layer	NOUN
ajst-27334	56	66	,	,	PUNCT
ajst-27334	56	67	and	and	CCONJ
ajst-27334	56	68	the	the	DET
ajst-27334	56	69	network	network	NOUN
ajst-27334	56	70	will	will	AUX
ajst-27334	56	71	connect	connect	VERB
ajst-27334	56	72	the	the	DET
ajst-27334	56	73	output	output	NOUN
ajst-27334	56	74	of	of	ADP
ajst-27334	56	75	all	all	DET
ajst-27334	56	76	the	the	DET
ajst-27334	56	77	previous	previous	ADJ
ajst-27334	56	78	layers	layer	NOUN
ajst-27334	56	79	,	,	PUNCT
ajst-27334	56	80	to	to	PART
ajst-27334	56	81	achieve	achieve	VERB
ajst-27334	56	82	the	the	DET
ajst-27334	56	83	reuse	reuse	NOUN
ajst-27334	56	84	of	of	ADP
ajst-27334	56	85	features	feature	NOUN
ajst-27334	56	86	,	,	PUNCT
ajst-27334	56	87	to	to	PART
ajst-27334	56	88	improve	improve	VERB
ajst-27334	56	89	the	the	DET
ajst-27334	56	90	efficiency	efficiency	NOUN
ajst-27334	56	91	of	of	ADP
ajst-27334	56	92	the	the	DET
ajst-27334	56	93	whole	whole	ADJ
ajst-27334	56	94	network	network	NOUN
ajst-27334	56	95	.	.	PUNCT
ajst-27334	57	1	the	the	DET
ajst-27334	57	2	structure	structure	NOUN
ajst-27334	57	3	of	of	ADP
ajst-27334	57	4	the	the	DET
ajst-27334	57	5	dense	dense	ADJ
ajst-27334	57	6	block	block	NOUN
ajst-27334	57	7	,	,	PUNCT
ajst-27334	57	8	the	the	DET
ajst-27334	57	9	dense	dense	ADJ
ajst-27334	57	10	connectivity	connectivity	NOUN
ajst-27334	57	11	layer	layer	NOUN
ajst-27334	57	12	,	,	PUNCT
ajst-27334	57	13	is	be	AUX
ajst-27334	57	14	that	that	SCONJ
ajst-27334	57	15	the	the	DET
ajst-27334	57	16	activation	activation	NOUN
ajst-27334	57	17	function	function	NOUN
ajst-27334	57	18	is	be	AUX
ajst-27334	57	19	in	in	ADP
ajst-27334	57	20	the	the	DET
ajst-27334	57	21	front	front	NOUN
ajst-27334	57	22	and	and	CCONJ
ajst-27334	57	23	the	the	DET
ajst-27334	57	24	convolutional	convolutional	ADJ
ajst-27334	57	25	layer	layer	NOUN
ajst-27334	57	26	is	be	AUX
ajst-27334	57	27	in	in	ADP
ajst-27334	57	28	the	the	DET
ajst-27334	57	29	back	back	NOUN
ajst-27334	57	30	.	.	PUNCT
ajst-27334	58	1	the	the	DET
ajst-27334	58	2	output	output	NOUN
ajst-27334	58	3	of	of	ADP
ajst-27334	58	4	the	the	DET
ajst-27334	58	5	first	first	ADJ
ajst-27334	58	6	layer	layer	NOUN
ajst-27334	58	7	in	in	ADP
ajst-27334	58	8	the	the	DET
ajst-27334	58	9	dense	dense	ADJ
ajst-27334	58	10	connectivity	connectivity	NOUN
ajst-27334	58	11	module	module	NOUN
ajst-27334	58	12	is	be	AUX
ajst-27334	58	13	:	:	PUNCT
ajst-27334	58	14	𝑥	𝑥	PROPN
ajst-27334	58	15	𝐻	𝐻	NOUN
ajst-27334	58	16	𝑥	𝑥	X
ajst-27334	58	17	,	,	PUNCT
ajst-27334	58	18	𝑥	𝑥	PROPN
ajst-27334	58	19	…	…	PUNCT
ajst-27334	58	20	,	,	PUNCT
ajst-27334	58	21	𝑥	𝑥	X
ajst-27334	58	22	(	(	PUNCT
ajst-27334	58	23	2	2	NUM
ajst-27334	58	24	)	)	PUNCT
ajst-27334	58	25	where	where	SCONJ
ajst-27334	58	26	𝐻	𝐻	PROPN
ajst-27334	58	27	∙	∙	PROPN
ajst-27334	58	28	represents	represent	VERB
ajst-27334	58	29	a	a	DET
ajst-27334	58	30	combination	combination	NOUN
ajst-27334	58	31	of	of	ADP
ajst-27334	58	32	a	a	DET
ajst-27334	58	33	series	series	NOUN
ajst-27334	58	34	of	of	ADP
ajst-27334	58	35	complex	complex	ADJ
ajst-27334	58	36	functions	function	NOUN
ajst-27334	58	37	,	,	PUNCT
ajst-27334	58	38	which	which	PRON
ajst-27334	58	39	include	include	VERB
ajst-27334	58	40	operations	operation	NOUN
ajst-27334	58	41	such	such	ADJ
ajst-27334	58	42	as	as	ADP
ajst-27334	58	43	activation	activation	NOUN
ajst-27334	58	44	function	function	NOUN
ajst-27334	58	45	,	,	PUNCT
ajst-27334	58	46	convolution	convolution	NOUN
ajst-27334	58	47	,	,	PUNCT
ajst-27334	58	48	and	and	CCONJ
ajst-27334	58	49	so	so	ADV
ajst-27334	58	50	on	on	ADV
ajst-27334	58	51	.	.	PUNCT
ajst-27334	59	1	in	in	ADP
ajst-27334	59	2	this	this	DET
ajst-27334	59	3	paper	paper	NOUN
ajst-27334	59	4	the	the	DET
ajst-27334	59	5	activation	activation	NOUN
ajst-27334	59	6	function	function	NOUN
ajst-27334	59	7	relu	relu	NOUN
ajst-27334	59	8	is	be	AUX
ajst-27334	59	9	used	use	VERB
ajst-27334	59	10	in	in	ADP
ajst-27334	59	11	the	the	DET
ajst-27334	59	12	densely	densely	ADV
ajst-27334	59	13	connected	connect	VERB
ajst-27334	59	14	layer	layer	NOUN
ajst-27334	59	15	to	to	PART
ajst-27334	59	16	increase	increase	VERB
ajst-27334	59	17	the	the	DET
ajst-27334	59	18	nonlinearity	nonlinearity	NOUN
ajst-27334	59	19	of	of	ADP
ajst-27334	59	20	the	the	DET
ajst-27334	59	21	network	network	NOUN
ajst-27334	59	22	,	,	PUNCT
ajst-27334	59	23	in	in	ADP
ajst-27334	59	24	the	the	DET
ajst-27334	59	25	densely	densely	ADV
ajst-27334	59	26	connected	connect	VERB
ajst-27334	59	27	first	first	ADJ
ajst-27334	59	28	layer	layer	NOUN
ajst-27334	59	29	the	the	DET
ajst-27334	59	30	output	output	NOUN
ajst-27334	59	31	after	after	SCONJ
ajst-27334	59	32	the	the	DET
ajst-27334	59	33	activation	activation	NOUN
ajst-27334	59	34	function	function	NOUN
ajst-27334	59	35	is	be	AUX
ajst-27334	59	36	given	give	VERB
ajst-27334	59	37	in	in	ADP
ajst-27334	59	38	equation	equation	NOUN
ajst-27334	59	39	(	(	PUNCT
ajst-27334	59	40	3	3	NUM
ajst-27334	59	41	)	)	PUNCT
ajst-27334	59	42	.	.	PUNCT
ajst-27334	60	1	the	the	DET
ajst-27334	60	2	relu	relu	NOUN
ajst-27334	60	3	activation	activation	NOUN
ajst-27334	60	4	function	function	NOUN
ajst-27334	60	5	is	be	AUX
ajst-27334	60	6	given	give	VERB
ajst-27334	60	7	in	in	ADP
ajst-27334	60	8	equation	equation	NOUN
ajst-27334	60	9	(	(	PUNCT
ajst-27334	60	10	4	4	NUM
ajst-27334	60	11	)	)	PUNCT
ajst-27334	60	12	.	.	PUNCT
ajst-27334	61	1	𝑥	𝑥	PRON
ajst-27334	61	2	𝑓	𝑓	PRON
ajst-27334	61	3	𝑥	𝑥	X
ajst-27334	61	4	(	(	PUNCT
ajst-27334	61	5	3	3	NUM
ajst-27334	61	6	)	)	PUNCT
ajst-27334	61	7	𝑓	𝑓	PRON
ajst-27334	61	8	𝑥	𝑥	ADV
ajst-27334	61	9	𝑚𝑎𝑥	𝑚𝑎𝑥	ADJ
ajst-27334	61	10	0	0	NUM
ajst-27334	61	11	,	,	PUNCT
ajst-27334	61	12	𝑥	𝑥	X
ajst-27334	61	13	(	(	PUNCT
ajst-27334	61	14	4	4	NUM
ajst-27334	61	15	)	)	PUNCT
ajst-27334	61	16	then	then	ADV
ajst-27334	61	17	after	after	ADP
ajst-27334	61	18	the	the	DET
ajst-27334	61	19	activation	activation	NOUN
ajst-27334	61	20	function	function	NOUN
ajst-27334	61	21	,	,	PUNCT
ajst-27334	61	22	the	the	DET
ajst-27334	61	23	convolution	convolution	NOUN
ajst-27334	61	24	operation	operation	NOUN
ajst-27334	61	25	is	be	AUX
ajst-27334	61	26	started	start	VERB
ajst-27334	61	27	on	on	ADP
ajst-27334	61	28	the	the	DET
ajst-27334	61	29	human	human	ADJ
ajst-27334	61	30	gait	gait	PROPN
ajst-27334	61	31	image	image	NOUN
ajst-27334	61	32	,	,	PUNCT
ajst-27334	61	33	in	in	ADP
ajst-27334	61	34	terms	term	NOUN
ajst-27334	61	35	of	of	ADP
ajst-27334	61	36	the	the	DET
ajst-27334	61	37	convolution	convolution	NOUN
ajst-27334	61	38	layer	layer	NOUN
ajst-27334	61	39	settings	setting	NOUN
ajst-27334	61	40	,	,	PUNCT
ajst-27334	61	41	in	in	ADP
ajst-27334	61	42	order	order	NOUN
ajst-27334	61	43	to	to	PART
ajst-27334	61	44	extract	extract	VERB
ajst-27334	61	45	more	more	ADJ
ajst-27334	61	46	discriminative	discriminative	NOUN
ajst-27334	61	47	features	feature	NOUN
ajst-27334	61	48	on	on	ADP
ajst-27334	61	49	the	the	DET
ajst-27334	61	50	gait	gait	ADJ
ajst-27334	61	51	image	image	NOUN
ajst-27334	61	52	,	,	PUNCT
ajst-27334	61	53	1×1	1×1	NUM
ajst-27334	61	54	and	and	CCONJ
ajst-27334	61	55	3×3	3×3	NUM
ajst-27334	61	56	convolution	convolution	NOUN
ajst-27334	61	57	kernels	kernel	NOUN
ajst-27334	61	58	are	be	AUX
ajst-27334	61	59	used	use	VERB
ajst-27334	61	60	alternatively	alternatively	ADV
ajst-27334	61	61	and	and	CCONJ
ajst-27334	61	62	the	the	DET
ajst-27334	61	63	step	step	NOUN
ajst-27334	61	64	size	size	NOUN
ajst-27334	61	65	is	be	AUX
ajst-27334	61	66	set	set	VERB
ajst-27334	61	67	to	to	ADP
ajst-27334	61	68	2	2	NUM
ajst-27334	61	69	.	.	PUNCT
ajst-27334	62	1	the	the	DET
ajst-27334	62	2	number	number	NOUN
ajst-27334	62	3	of	of	ADP
ajst-27334	62	4	convolution	convolution	NOUN
ajst-27334	62	5	layers	layer	NOUN
ajst-27334	62	6	set	set	VERB
ajst-27334	62	7	in	in	ADP
ajst-27334	62	8	different	different	ADJ
ajst-27334	62	9	dense	dense	ADJ
ajst-27334	62	10	blocks	block	NOUN
ajst-27334	62	11	varies	varie	NOUN
ajst-27334	62	12	,	,	PUNCT
ajst-27334	62	13	and	and	CCONJ
ajst-27334	62	14	the	the	DET
ajst-27334	62	15	parameter	parameter	NOUN
ajst-27334	62	16	settings	setting	NOUN
ajst-27334	62	17	for	for	ADP
ajst-27334	62	18	the	the	DET
ajst-27334	62	19	dense	dense	ADJ
ajst-27334	62	20	block	block	NOUN
ajst-27334	62	21	layers	layer	NOUN
ajst-27334	62	22	are	be	AUX
ajst-27334	62	23	detailed	detail	VERB
ajst-27334	62	24	in	in	ADP
ajst-27334	62	25	table	table	NOUN
ajst-27334	62	26	1	1	NUM
ajst-27334	62	27	.	.	PUNCT
ajst-27334	62	28	table	table	NOUN
ajst-27334	63	1	1	1	NUM
ajst-27334	63	2	.	.	PUNCT
ajst-27334	64	1	parameter	parameter	NOUN
ajst-27334	64	2	settings	setting	NOUN
ajst-27334	64	3	of	of	ADP
ajst-27334	64	4	dense	dense	ADJ
ajst-27334	64	5	block	block	NOUN
ajst-27334	64	6	layers	layer	NOUN
ajst-27334	64	7	name	name	NOUN
ajst-27334	64	8	number	number	NOUN
ajst-27334	64	9	of	of	ADP
ajst-27334	64	10	kernel	kernel	PROPN
ajst-27334	64	11	size	size	NOUN
ajst-27334	64	12	of	of	ADP
ajst-27334	64	13	kernel	kernel	PROPN
ajst-27334	64	14	step	step	VERB
ajst-27334	64	15	dense	dense	ADJ
ajst-27334	64	16	block	block	NOUN
ajst-27334	64	17	1	1	NUM
ajst-27334	64	18	6	6	NUM
ajst-27334	64	19	1	1	NUM
ajst-27334	64	20	1	1	NUM
ajst-27334	64	21	3	3	NUM
ajst-27334	64	22	3	3	NUM
ajst-27334	64	23	2	2	NUM
ajst-27334	64	24	dense	dense	ADJ
ajst-27334	64	25	block	block	NOUN
ajst-27334	64	26	2	2	NUM
ajst-27334	64	27	12	12	NUM
ajst-27334	64	28	1	1	NUM
ajst-27334	64	29	1	1	NUM
ajst-27334	64	30	3	3	NUM
ajst-27334	64	31	3	3	NUM
ajst-27334	64	32	2	2	NUM
ajst-27334	64	33	dense	dense	ADJ
ajst-27334	64	34	block	block	NOUN
ajst-27334	64	35	3	3	NUM
ajst-27334	64	36	48	48	NUM
ajst-27334	64	37	1	1	NUM
ajst-27334	64	38	1	1	NUM
ajst-27334	64	39	3	3	NUM
ajst-27334	64	40	3	3	NUM
ajst-27334	64	41	2	2	NUM
ajst-27334	64	42	dense	dense	ADJ
ajst-27334	64	43	block	block	NOUN
ajst-27334	64	44	4	4	NUM
ajst-27334	64	45	32	32	NUM
ajst-27334	64	46	1	1	NUM
ajst-27334	64	47	1	1	NUM
ajst-27334	64	48	3	3	NUM
ajst-27334	64	49	3	3	NUM
ajst-27334	64	50	2	2	NUM
ajst-27334	64	51	(	(	PUNCT
ajst-27334	64	52	2	2	NUM
ajst-27334	64	53	)	)	PUNCT
ajst-27334	64	54	transition	transition	NOUN
ajst-27334	64	55	layer	layer	NOUN
ajst-27334	64	56	the	the	DET
ajst-27334	64	57	densely	densely	ADV
ajst-27334	64	58	connected	connect	VERB
ajst-27334	64	59	approach	approach	NOUN
ajst-27334	64	60	of	of	ADP
ajst-27334	64	61	densenet201	densenet201	PROPN
ajst-27334	64	62	causes	cause	VERB
ajst-27334	64	63	the	the	DET
ajst-27334	64	64	gait	gait	ADJ
ajst-27334	64	65	feature	feature	NOUN
ajst-27334	64	66	maps	map	NOUN
ajst-27334	64	67	to	to	PART
ajst-27334	64	68	expand	expand	VERB
ajst-27334	64	69	,	,	PUNCT
ajst-27334	64	70	and	and	CCONJ
ajst-27334	64	71	in	in	ADP
ajst-27334	64	72	order	order	NOUN
ajst-27334	64	73	to	to	PART
ajst-27334	64	74	make	make	VERB
ajst-27334	64	75	the	the	DET
ajst-27334	64	76	feature	feature	NOUN
ajst-27334	64	77	maps	map	NOUN
ajst-27334	64	78	of	of	ADP
ajst-27334	64	79	each	each	DET
ajst-27334	64	80	layer	layer	NOUN
ajst-27334	64	81	of	of	ADP
ajst-27334	64	82	the	the	DET
ajst-27334	64	83	same	same	ADJ
ajst-27334	64	84	size	size	NOUN
ajst-27334	64	85	,	,	PUNCT
ajst-27334	64	86	the	the	DET
ajst-27334	64	87	structure	structure	NOUN
ajst-27334	64	88	of	of	ADP
ajst-27334	64	89	the	the	DET
ajst-27334	64	90	transition	transition	NOUN
ajst-27334	64	91	layer	layer	NOUN
ajst-27334	64	92	transition	transition	NOUN
ajst-27334	64	93	is	be	AUX
ajst-27334	64	94	used	use	VERB
ajst-27334	64	95	in	in	ADP
ajst-27334	64	96	the	the	DET
ajst-27334	64	97	network	network	NOUN
ajst-27334	64	98	to	to	PART
ajst-27334	64	99	connect	connect	VERB
ajst-27334	64	100	between	between	ADP
ajst-27334	64	101	two	two	NUM
ajst-27334	64	102	neighboring	neighbor	VERB
ajst-27334	64	103	dense	dense	ADJ
ajst-27334	64	104	blocks	block	NOUN
ajst-27334	64	105	,	,	PUNCT
ajst-27334	64	106	which	which	PRON
ajst-27334	64	107	reduces	reduce	VERB
ajst-27334	64	108	the	the	DET
ajst-27334	64	109	size	size	NOUN
ajst-27334	64	110	of	of	ADP
ajst-27334	64	111	the	the	DET
ajst-27334	64	112	feature	feature	NOUN
ajst-27334	64	113	maps	map	NOUN
ajst-27334	64	114	.	.	PUNCT
ajst-27334	65	1	the	the	DET
ajst-27334	65	2	transition	transition	NOUN
ajst-27334	65	3	layer	layer	NOUN
ajst-27334	65	4	consists	consist	VERB
ajst-27334	65	5	of	of	ADP
ajst-27334	65	6	a	a	DET
ajst-27334	65	7	1	1	NUM
ajst-27334	65	8	×	×	NOUN
ajst-27334	65	9	1	1	NUM
ajst-27334	65	10	convolutional	convolutional	ADJ
ajst-27334	65	11	layer	layer	NOUN
ajst-27334	65	12	and	and	CCONJ
ajst-27334	65	13	a	a	DET
ajst-27334	65	14	2	2	NUM
ajst-27334	65	15	×	×	NOUN
ajst-27334	65	16	2	2	NUM
ajst-27334	65	17	average	average	ADJ
ajst-27334	65	18	pooling	pool	VERB
ajst-27334	65	19	layer	layer	NOUN
ajst-27334	65	20	.	.	PUNCT
ajst-27334	66	1	the	the	DET
ajst-27334	66	2	parameters	parameter	NOUN
ajst-27334	66	3	of	of	ADP
ajst-27334	66	4	each	each	DET
ajst-27334	66	5	transition	transition	NOUN
ajst-27334	66	6	layer	layer	NOUN
ajst-27334	66	7	are	be	AUX
ajst-27334	66	8	set	set	VERB
ajst-27334	66	9	as	as	SCONJ
ajst-27334	66	10	shown	show	VERB
ajst-27334	66	11	in	in	ADP
ajst-27334	66	12	table	table	NOUN
ajst-27334	66	13	2	2	NUM
ajst-27334	66	14	below	below	ADV
ajst-27334	66	15	.	.	PUNCT
ajst-27334	67	1	table	table	NOUN
ajst-27334	67	2	2	2	NUM
ajst-27334	67	3	.	.	PUNCT
ajst-27334	67	4	parameter	parameter	NOUN
ajst-27334	67	5	settings	setting	NOUN
ajst-27334	67	6	of	of	ADP
ajst-27334	67	7	the	the	DET
ajst-27334	67	8	transition	transition	NOUN
ajst-27334	67	9	layer	layer	NOUN
ajst-27334	67	10	name	name	NOUN
ajst-27334	67	11	number	number	NOUN
ajst-27334	67	12	of	of	ADP
ajst-27334	67	13	kernel	kernel	PROPN
ajst-27334	67	14	size	size	NOUN
ajst-27334	67	15	of	of	ADP
ajst-27334	67	16	kernel	kernel	PROPN
ajst-27334	67	17	step	step	NOUN
ajst-27334	67	18	convolution	convolution	NOUN
ajst-27334	67	19	32	32	NUM
ajst-27334	67	20	1×1	1×1	NUM
ajst-27334	67	21	2	2	NUM
ajst-27334	67	22	average	average	NOUN
ajst-27334	67	23	pooling	pool	VERB
ajst-27334	67	24	\	\	NOUN
ajst-27334	67	25	2×2	2×2	NUM
ajst-27334	67	26	2	2	NUM
ajst-27334	67	27	(	(	PUNCT
ajst-27334	67	28	3	3	NUM
ajst-27334	67	29	)	)	PUNCT
ajst-27334	67	30	global	global	ADJ
ajst-27334	67	31	average	average	ADJ
ajst-27334	67	32	pooling	pool	VERB
ajst-27334	67	33	global	global	ADJ
ajst-27334	67	34	average	average	ADJ
ajst-27334	67	35	pooling	pooling	NOUN
ajst-27334	67	36	is	be	AUX
ajst-27334	67	37	placed	place	VERB
ajst-27334	67	38	after	after	ADP
ajst-27334	67	39	the	the	DET
ajst-27334	67	40	densely	densely	ADV
ajst-27334	67	41	connected	connect	VERB
ajst-27334	67	42	layer	layer	NOUN
ajst-27334	67	43	and	and	CCONJ
ajst-27334	67	44	the	the	DET
ajst-27334	67	45	transition	transition	NOUN
ajst-27334	67	46	layer	layer	NOUN
ajst-27334	67	47	,	,	PUNCT
ajst-27334	67	48	which	which	PRON
ajst-27334	67	49	reduces	reduce	VERB
ajst-27334	67	50	the	the	DET
ajst-27334	67	51	feature	feature	NOUN
ajst-27334	67	52	dimensions	dimension	NOUN
ajst-27334	67	53	and	and	CCONJ
ajst-27334	67	54	regularizes	regularize	VERB
ajst-27334	67	55	the	the	DET
ajst-27334	67	56	entire	entire	ADJ
ajst-27334	67	57	network	network	NOUN
ajst-27334	67	58	extracting	extract	VERB
ajst-27334	67	59	grayscale	grayscale	NOUN
ajst-27334	67	60	maps	map	NOUN
ajst-27334	67	61	from	from	ADP
ajst-27334	67	62	video	video	NOUN
ajst-27334	67	63	background	background	NOUN
ajst-27334	67	64	subtraction	subtraction	NOUN
ajst-27334	67	65	human	human	ADJ
ajst-27334	67	66	side	side	NOUN
ajst-27334	67	67	profile	profile	NOUN
ajst-27334	67	68	adjusting	adjust	VERB
ajst-27334	67	69	the	the	DET
ajst-27334	67	70	image	image	NOUN
ajst-27334	67	71	after	after	ADP
ajst-27334	67	72	resizing	resize	VERB
ajst-27334	67	73	c	c	NOUN
ajst-27334	67	74	onvolution	onvolution	NOUN
ajst-27334	67	75	p	p	NOUN
ajst-27334	67	76	oolin	oolin	NOUN
ajst-27334	67	77	g	g	PROPN
ajst-27334	67	78	d	d	PROPN
ajst-27334	67	79	en	en	X
ajst-27334	67	80	se	se	PROPN
ajst-27334	67	81	b	b	PROPN
ajst-27334	67	82	lock	lock	NOUN
ajst-27334	67	83	1	1	NUM
ajst-27334	67	84	c	c	NOUN
ajst-27334	67	85	onvolution	onvolution	NOUN
ajst-27334	67	86	p	p	NOUN
ajst-27334	67	87	oolin	oolin	NOUN
ajst-27334	67	88	g	g	PROPN
ajst-27334	67	89	...	...	PUNCT
ajst-27334	68	1	d	d	X
ajst-27334	68	2	en	en	X
ajst-27334	68	3	se	se	PROPN
ajst-27334	68	4	b	b	PROPN
ajst-27334	68	5	lock	lock	NOUN
ajst-27334	68	6	4	4	NUM
ajst-27334	68	7	...	...	PUNCT
ajst-27334	68	8	p	p	PRON
ajst-27334	68	9	oolin	oolin	PROPN
ajst-27334	68	10	g	g	PROPN
ajst-27334	68	11	s	s	PROPN
ajst-27334	68	12	oftm	oftm	NOUN
ajst-27334	68	13	ax	ax	NOUN
ajst-27334	68	14	...	...	PUNCT
ajst-27334	68	15	feature	feature	NOUN
ajst-27334	68	16	size	size	NOUN
ajst-27334	68	17	1920	1920	NUM
ajst-27334	68	18	dimensions	dimension	NOUN
ajst-27334	68	19	feature	feature	NOUN
ajst-27334	68	20	visualization	visualization	NOUN
ajst-27334	68	21	map	map	NOUN
ajst-27334	68	22	1×1	1×1	ADJ
ajst-27334	68	23	3×3	3×3	NUM
ajst-27334	68	24	1×1	1×1	NUM
ajst-27334	68	25	3×3	3×3	NUM
ajst-27334	68	26	×	×	NOUN
ajst-27334	68	27	6	6	NUM
ajst-27334	68	28	f	f	PROPN
ajst-27334	68	29	eature	eature	PROPN
ajst-27334	68	30	reu	reu	PROPN
ajst-27334	68	31	se	se	PROPN
ajst-27334	68	32	transition	transition	NOUN
ajst-27334	68	33	layer	layer	NOUN
ajst-27334	68	34	142	142	NUM
ajst-27334	68	35	structurally	structurally	ADV
ajst-27334	68	36	,	,	PUNCT
ajst-27334	68	37	and	and	CCONJ
ajst-27334	68	38	it	it	PRON
ajst-27334	68	39	prevents	prevent	VERB
ajst-27334	68	40	the	the	DET
ajst-27334	68	41	layer	layer	NOUN
ajst-27334	68	42	from	from	ADP
ajst-27334	68	43	overfitting	overfitte	VERB
ajst-27334	68	44	,	,	PUNCT
ajst-27334	68	45	integrates	integrate	VERB
ajst-27334	68	46	the	the	DET
ajst-27334	68	47	global	global	ADJ
ajst-27334	68	48	feature	feature	NOUN
ajst-27334	68	49	information	information	NOUN
ajst-27334	68	50	,	,	PUNCT
ajst-27334	68	51	and	and	CCONJ
ajst-27334	68	52	results	result	NOUN
ajst-27334	68	53	in	in	ADP
ajst-27334	68	54	improved	improved	ADJ
ajst-27334	68	55	performance	performance	NOUN
ajst-27334	68	56	of	of	ADP
ajst-27334	68	57	the	the	DET
ajst-27334	68	58	network	network	NOUN
ajst-27334	68	59	model	model	NOUN
ajst-27334	68	60	.	.	PUNCT
ajst-27334	69	1	(	(	PUNCT
ajst-27334	69	2	4	4	X
ajst-27334	69	3	)	)	PUNCT
ajst-27334	69	4	softmax	softmax	NOUN
ajst-27334	69	5	the	the	DET
ajst-27334	69	6	main	main	ADJ
ajst-27334	69	7	role	role	NOUN
ajst-27334	69	8	of	of	ADP
ajst-27334	69	9	the	the	DET
ajst-27334	69	10	softmax	softmax	NOUN
ajst-27334	69	11	layer	layer	NOUN
ajst-27334	69	12	is	be	AUX
ajst-27334	69	13	to	to	PART
ajst-27334	69	14	map	map	VERB
ajst-27334	69	15	all	all	DET
ajst-27334	69	16	the	the	DET
ajst-27334	69	17	outputs	output	NOUN
ajst-27334	69	18	of	of	ADP
ajst-27334	69	19	multiple	multiple	ADJ
ajst-27334	69	20	neurons	neuron	NOUN
ajst-27334	69	21	into	into	ADP
ajst-27334	69	22	the	the	DET
ajst-27334	69	23	range	range	NOUN
ajst-27334	69	24	(	(	PUNCT
ajst-27334	69	25	0,1	0,1	NUM
ajst-27334	69	26	)	)	PUNCT
ajst-27334	69	27	and	and	CCONJ
ajst-27334	69	28	the	the	DET
ajst-27334	69	29	sum	sum	NOUN
ajst-27334	69	30	of	of	ADP
ajst-27334	69	31	these	these	DET
ajst-27334	69	32	values	value	NOUN
ajst-27334	69	33	is	be	AUX
ajst-27334	69	34	1	1	NUM
ajst-27334	69	35	.	.	PUNCT
ajst-27334	70	1	the	the	DET
ajst-27334	70	2	label	label	NOUN
ajst-27334	70	3	value	value	NOUN
ajst-27334	70	4	corresponding	correspond	VERB
ajst-27334	70	5	to	to	ADP
ajst-27334	70	6	the	the	DET
ajst-27334	70	7	maximum	maximum	ADJ
ajst-27334	70	8	value	value	NOUN
ajst-27334	70	9	of	of	ADP
ajst-27334	70	10	the	the	DET
ajst-27334	70	11	output	output	NOUN
ajst-27334	70	12	is	be	AUX
ajst-27334	70	13	taken	take	VERB
ajst-27334	70	14	to	to	PART
ajst-27334	70	15	be	be	AUX
ajst-27334	70	16	the	the	DET
ajst-27334	70	17	desired	desire	VERB
ajst-27334	70	18	multiclassification	multiclassification	NOUN
ajst-27334	70	19	recognition	recognition	NOUN
ajst-27334	70	20	result	result	NOUN
ajst-27334	70	21	and	and	CCONJ
ajst-27334	70	22	the	the	DET
ajst-27334	70	23	output	output	NOUN
ajst-27334	70	24	of	of	ADP
ajst-27334	70	25	the	the	DET
ajst-27334	70	26	softmax	softmax	NOUN
ajst-27334	70	27	layer	layer	NOUN
ajst-27334	70	28	is	be	AUX
ajst-27334	70	29	given	give	VERB
ajst-27334	70	30	below	below	ADV
ajst-27334	70	31	in	in	ADP
ajst-27334	70	32	equation	equation	NOUN
ajst-27334	70	33	(	(	PUNCT
ajst-27334	70	34	5	5	NUM
ajst-27334	70	35	)	)	PUNCT
ajst-27334	70	36	.	.	PUNCT
ajst-27334	71	1	𝜎	𝜎	X
ajst-27334	71	2	𝑧	𝑧	VERB
ajst-27334	71	3	∑	∑	PROPN
ajst-27334	71	4	(	(	PUNCT
ajst-27334	71	5	5	5	NUM
ajst-27334	71	6	)	)	PUNCT
ajst-27334	71	7	where	where	SCONJ
ajst-27334	71	8	𝑧	𝑧	PROPN
ajst-27334	71	9	is	be	AUX
ajst-27334	71	10	the	the	DET
ajst-27334	71	11	output	output	NOUN
ajst-27334	71	12	value	value	NOUN
ajst-27334	71	13	of	of	ADP
ajst-27334	71	14	the	the	DET
ajst-27334	71	15	average	average	ADJ
ajst-27334	71	16	pooling	pooling	NOUN
ajst-27334	71	17	layer	layer	NOUN
ajst-27334	71	18	and	and	CCONJ
ajst-27334	71	19	𝑘	𝑘	DET
ajst-27334	71	20	1,2,3	1,2,3	NUM
ajst-27334	71	21	⋯	⋯	NOUN
ajst-27334	71	22	,	,	PUNCT
ajst-27334	71	23	𝐾	𝐾	PROPN
ajst-27334	71	24	is	be	AUX
ajst-27334	71	25	the	the	DET
ajst-27334	71	26	number	number	NOUN
ajst-27334	71	27	of	of	ADP
ajst-27334	71	28	classifications	classification	NOUN
ajst-27334	71	29	,	,	PUNCT
ajst-27334	71	30	which	which	PRON
ajst-27334	71	31	corresponds	correspond	VERB
ajst-27334	71	32	to	to	ADP
ajst-27334	71	33	124	124	NUM
ajst-27334	71	34	classes	class	NOUN
ajst-27334	71	35	in	in	ADP
ajst-27334	71	36	the	the	DET
ajst-27334	71	37	gait	gait	ADJ
ajst-27334	71	38	database	database	NOUN
ajst-27334	71	39	in	in	ADP
ajst-27334	71	40	this	this	DET
ajst-27334	71	41	paper	paper	NOUN
ajst-27334	71	42	.	.	PUNCT
ajst-27334	72	1	2.3	2.3	NUM
ajst-27334	72	2	.	.	PUNCT
ajst-27334	72	3	gait	gait	PROPN
ajst-27334	72	4	recognition	recognition	NOUN
ajst-27334	72	5	based	base	VERB
ajst-27334	72	6	on	on	ADP
ajst-27334	72	7	densenet201	densenet201	PROPN
ajst-27334	72	8	deep	deep	ADJ
ajst-27334	72	9	network	network	NOUN
ajst-27334	72	10	transfer	transfer	NOUN
ajst-27334	72	11	features	feature	NOUN
ajst-27334	72	12	figure	figure	VERB
ajst-27334	72	13	4	4	NUM
ajst-27334	72	14	.	.	PUNCT
ajst-27334	72	15	gait	gait	PROPN
ajst-27334	72	16	recognition	recognition	PROPN
ajst-27334	72	17	method	method	NOUN
ajst-27334	72	18	based	base	VERB
ajst-27334	72	19	on	on	ADP
ajst-27334	72	20	densenet201	densenet201	PROPN
ajst-27334	72	21	transfer	transfer	NOUN
ajst-27334	72	22	features	feature	VERB
ajst-27334	72	23	the	the	DET
ajst-27334	72	24	whole	whole	ADJ
ajst-27334	72	25	human	human	ADJ
ajst-27334	72	26	body	body	NOUN
ajst-27334	72	27	area	area	NOUN
ajst-27334	72	28	contains	contain	VERB
ajst-27334	72	29	all	all	DET
ajst-27334	72	30	the	the	DET
ajst-27334	72	31	features	feature	NOUN
ajst-27334	72	32	of	of	ADP
ajst-27334	72	33	pedestrian	pedestrian	NOUN
ajst-27334	72	34	identity	identity	NOUN
ajst-27334	72	35	,	,	PUNCT
ajst-27334	72	36	and	and	CCONJ
ajst-27334	72	37	the	the	DET
ajst-27334	72	38	transfer	transfer	NOUN
ajst-27334	72	39	features	feature	NOUN
ajst-27334	72	40	extracted	extract	VERB
ajst-27334	72	41	for	for	ADP
ajst-27334	72	42	the	the	DET
ajst-27334	72	43	whole	whole	ADJ
ajst-27334	72	44	human	human	ADJ
ajst-27334	72	45	body	body	NOUN
ajst-27334	72	46	area	area	NOUN
ajst-27334	72	47	are	be	AUX
ajst-27334	72	48	more	more	ADV
ajst-27334	72	49	comprehensive	comprehensive	ADJ
ajst-27334	72	50	,	,	PUNCT
ajst-27334	72	51	which	which	PRON
ajst-27334	72	52	have	have	AUX
ajst-27334	72	53	covered	cover	VERB
ajst-27334	72	54	all	all	DET
ajst-27334	72	55	the	the	DET
ajst-27334	72	56	features	feature	NOUN
ajst-27334	72	57	and	and	CCONJ
ajst-27334	72	58	can	can	AUX
ajst-27334	72	59	fully	fully	ADV
ajst-27334	72	60	demonstrate	demonstrate	VERB
ajst-27334	72	61	the	the	DET
ajst-27334	72	62	pedestrian	pedestrian	NOUN
ajst-27334	72	63	identity	identity	NOUN
ajst-27334	72	64	.	.	PUNCT
ajst-27334	73	1	however	however	ADV
ajst-27334	73	2	,	,	PUNCT
ajst-27334	73	3	due	due	ADP
ajst-27334	73	4	to	to	ADP
ajst-27334	73	5	the	the	DET
ajst-27334	73	6	large	large	ADJ
ajst-27334	73	7	area	area	NOUN
ajst-27334	73	8	extracted	extract	VERB
ajst-27334	73	9	,	,	PUNCT
ajst-27334	73	10	it	it	PRON
ajst-27334	73	11	instead	instead	ADV
ajst-27334	73	12	contains	contain	VERB
ajst-27334	73	13	many	many	ADJ
ajst-27334	73	14	redundant	redundant	ADJ
ajst-27334	73	15	features	feature	NOUN
ajst-27334	73	16	in	in	ADP
ajst-27334	73	17	it	it	PRON
ajst-27334	73	18	,	,	PUNCT
ajst-27334	73	19	which	which	PRON
ajst-27334	73	20	brings	bring	VERB
ajst-27334	73	21	inconvenience	inconvenience	NOUN
ajst-27334	73	22	to	to	ADP
ajst-27334	73	23	the	the	DET
ajst-27334	73	24	later	later	ADJ
ajst-27334	73	25	classification	classification	NOUN
ajst-27334	73	26	and	and	CCONJ
ajst-27334	73	27	recognition	recognition	NOUN
ajst-27334	73	28	.	.	PUNCT
ajst-27334	74	1	the	the	DET
ajst-27334	74	2	arm	arm	NOUN
ajst-27334	74	3	swing	swing	NOUN
ajst-27334	74	4	area	area	NOUN
ajst-27334	74	5	and	and	CCONJ
ajst-27334	74	6	leg	leg	NOUN
ajst-27334	74	7	swing	swing	NOUN
ajst-27334	74	8	area	area	NOUN
ajst-27334	74	9	are	be	AUX
ajst-27334	74	10	periodic	periodic	ADJ
ajst-27334	74	11	movements	movement	NOUN
ajst-27334	74	12	,	,	PUNCT
ajst-27334	74	13	and	and	CCONJ
ajst-27334	74	14	their	their	PRON
ajst-27334	74	15	feature	feature	NOUN
ajst-27334	74	16	changes	change	NOUN
ajst-27334	74	17	are	be	AUX
ajst-27334	74	18	more	more	ADV
ajst-27334	74	19	obvious	obvious	ADJ
ajst-27334	74	20	,	,	PUNCT
ajst-27334	74	21	therefore	therefore	ADV
ajst-27334	74	22	,	,	PUNCT
ajst-27334	74	23	in	in	ADP
ajst-27334	74	24	this	this	DET
ajst-27334	74	25	paper	paper	NOUN
ajst-27334	74	26	,	,	PUNCT
ajst-27334	74	27	the	the	DET
ajst-27334	74	28	depth	depth	NOUN
ajst-27334	74	29	transfer	transfer	NOUN
ajst-27334	74	30	features	feature	NOUN
ajst-27334	74	31	are	be	AUX
ajst-27334	74	32	extracted	extract	VERB
ajst-27334	74	33	for	for	ADP
ajst-27334	74	34	both	both	CCONJ
ajst-27334	74	35	the	the	DET
ajst-27334	74	36	arm	arm	NOUN
ajst-27334	74	37	swing	swing	NOUN
ajst-27334	74	38	area	area	NOUN
ajst-27334	74	39	and	and	CCONJ
ajst-27334	74	40	the	the	DET
ajst-27334	74	41	leg	leg	NOUN
ajst-27334	74	42	swing	swing	NOUN
ajst-27334	74	43	area	area	NOUN
ajst-27334	74	44	.	.	PUNCT
ajst-27334	75	1	the	the	DET
ajst-27334	75	2	feature	feature	NOUN
ajst-27334	75	3	variation	variation	NOUN
ajst-27334	75	4	of	of	ADP
ajst-27334	75	5	the	the	DET
ajst-27334	75	6	arm	arm	NOUN
ajst-27334	75	7	part	part	NOUN
ajst-27334	75	8	and	and	CCONJ
ajst-27334	75	9	leg	leg	NOUN
ajst-27334	75	10	part	part	NOUN
ajst-27334	75	11	is	be	AUX
ajst-27334	75	12	strong	strong	ADJ
ajst-27334	75	13	,	,	PUNCT
ajst-27334	75	14	and	and	CCONJ
ajst-27334	75	15	the	the	DET
ajst-27334	75	16	extracted	extract	VERB
ajst-27334	75	17	pedestrian	pedestrian	NOUN
ajst-27334	75	18	transfer	transfer	NOUN
ajst-27334	75	19	features	feature	NOUN
ajst-27334	75	20	of	of	ADP
ajst-27334	75	21	the	the	DET
ajst-27334	75	22	whole	whole	ADJ
ajst-27334	75	23	body	body	NOUN
ajst-27334	75	24	are	be	AUX
ajst-27334	75	25	very	very	ADV
ajst-27334	75	26	comprehensive	comprehensive	ADJ
ajst-27334	75	27	,	,	PUNCT
ajst-27334	75	28	so	so	SCONJ
ajst-27334	75	29	this	this	DET
ajst-27334	75	30	paper	paper	NOUN
ajst-27334	75	31	takes	take	VERB
ajst-27334	75	32	the	the	DET
ajst-27334	75	33	transfer	transfer	NOUN
ajst-27334	75	34	features	feature	NOUN
ajst-27334	75	35	of	of	ADP
ajst-27334	75	36	the	the	DET
ajst-27334	75	37	whole	whole	ADJ
ajst-27334	75	38	human	human	ADJ
ajst-27334	75	39	body	body	NOUN
ajst-27334	75	40	,	,	PUNCT
ajst-27334	75	41	the	the	DET
ajst-27334	75	42	transfer	transfer	NOUN
ajst-27334	75	43	features	feature	NOUN
ajst-27334	75	44	of	of	ADP
ajst-27334	75	45	the	the	DET
ajst-27334	75	46	arm	arm	NOUN
ajst-27334	75	47	swing	swing	NOUN
ajst-27334	75	48	part	part	NOUN
ajst-27334	75	49	,	,	PUNCT
ajst-27334	75	50	and	and	CCONJ
ajst-27334	75	51	the	the	DET
ajst-27334	75	52	transfer	transfer	NOUN
ajst-27334	75	53	features	feature	NOUN
ajst-27334	75	54	of	of	ADP
ajst-27334	75	55	the	the	DET
ajst-27334	75	56	leg	leg	NOUN
ajst-27334	75	57	swing	swing	NOUN
ajst-27334	75	58	part	part	NOUN
ajst-27334	75	59	to	to	PART
ajst-27334	75	60	be	be	AUX
ajst-27334	75	61	summed	sum	VERB
ajst-27334	75	62	and	and	CCONJ
ajst-27334	75	63	averaged	average	VERB
ajst-27334	75	64	fusion	fusion	NOUN
ajst-27334	75	65	,	,	PUNCT
ajst-27334	75	66	and	and	CCONJ
ajst-27334	75	67	the	the	DET
ajst-27334	75	68	three	three	NUM
ajst-27334	75	69	complement	complement	NOUN
ajst-27334	75	70	each	each	DET
ajst-27334	75	71	other	other	ADJ
ajst-27334	75	72	to	to	PART
ajst-27334	75	73	improve	improve	VERB
ajst-27334	75	74	the	the	DET
ajst-27334	75	75	gait	gait	ADJ
ajst-27334	75	76	recognition	recognition	NOUN
ajst-27334	75	77	rate	rate	NOUN
ajst-27334	75	78	.	.	PUNCT
ajst-27334	76	1	pedestrians	pedestrian	NOUN
ajst-27334	76	2	in	in	ADP
ajst-27334	76	3	the	the	DET
ajst-27334	76	4	process	process	NOUN
ajst-27334	76	5	of	of	ADP
ajst-27334	76	6	walking	walking	NOUN
ajst-27334	76	7	,	,	PUNCT
ajst-27334	76	8	itself	itself	PRON
ajst-27334	76	9	is	be	AUX
ajst-27334	76	10	the	the	DET
ajst-27334	76	11	arms	arm	NOUN
ajst-27334	76	12	and	and	CCONJ
ajst-27334	76	13	legs	leg	NOUN
ajst-27334	76	14	cooperate	cooperate	VERB
ajst-27334	76	15	with	with	ADP
ajst-27334	76	16	each	each	DET
ajst-27334	76	17	other	other	ADJ
ajst-27334	76	18	to	to	PART
ajst-27334	76	19	show	show	VERB
ajst-27334	76	20	the	the	DET
ajst-27334	76	21	salient	salient	NOUN
ajst-27334	76	22	features	feature	NOUN
ajst-27334	76	23	,	,	PUNCT
ajst-27334	76	24	so	so	ADV
ajst-27334	76	25	in	in	SCONJ
ajst-27334	76	26	our	our	PRON
ajst-27334	76	27	classification	classification	NOUN
ajst-27334	76	28	and	and	CCONJ
ajst-27334	76	29	identification	identification	NOUN
ajst-27334	76	30	process	process	NOUN
ajst-27334	76	31	should	should	AUX
ajst-27334	76	32	be	be	AUX
ajst-27334	76	33	combined	combine	VERB
ajst-27334	76	34	together	together	ADV
ajst-27334	76	35	,	,	PUNCT
ajst-27334	76	36	so	so	SCONJ
ajst-27334	76	37	that	that	SCONJ
ajst-27334	76	38	the	the	DET
ajst-27334	76	39	features	feature	NOUN
ajst-27334	76	40	obtained	obtain	VERB
ajst-27334	76	41	by	by	ADP
ajst-27334	76	42	the	the	DET
ajst-27334	76	43	classifier	classifier	NOUN
ajst-27334	76	44	is	be	AUX
ajst-27334	76	45	more	more	ADV
ajst-27334	76	46	robust	robust	ADJ
ajst-27334	76	47	.	.	PUNCT
ajst-27334	77	1	the	the	DET
ajst-27334	77	2	features	feature	NOUN
ajst-27334	77	3	extracted	extract	VERB
ajst-27334	77	4	from	from	ADP
ajst-27334	77	5	the	the	DET
ajst-27334	77	6	whole	whole	ADJ
ajst-27334	77	7	body	body	NOUN
ajst-27334	77	8	region	region	NOUN
ajst-27334	77	9	of	of	ADP
ajst-27334	77	10	the	the	DET
ajst-27334	77	11	pedestrian	pedestrian	NOUN
ajst-27334	77	12	are	be	AUX
ajst-27334	77	13	more	more	ADV
ajst-27334	77	14	comprehensive	comprehensive	ADJ
ajst-27334	77	15	,	,	PUNCT
ajst-27334	77	16	and	and	CCONJ
ajst-27334	77	17	the	the	DET
ajst-27334	77	18	fusion	fusion	NOUN
ajst-27334	77	19	of	of	ADP
ajst-27334	77	20	the	the	DET
ajst-27334	77	21	features	feature	NOUN
ajst-27334	77	22	extracted	extract	VERB
ajst-27334	77	23	from	from	ADP
ajst-27334	77	24	the	the	DET
ajst-27334	77	25	whole	whole	ADJ
ajst-27334	77	26	body	body	NOUN
ajst-27334	77	27	region	region	NOUN
ajst-27334	77	28	,	,	PUNCT
ajst-27334	77	29	the	the	DET
ajst-27334	77	30	arm	arm	NOUN
ajst-27334	77	31	region	region	NOUN
ajst-27334	77	32	and	and	CCONJ
ajst-27334	77	33	the	the	DET
ajst-27334	77	34	leg	leg	NOUN
ajst-27334	77	35	region	region	NOUN
ajst-27334	77	36	can	can	AUX
ajst-27334	77	37	completely	completely	ADV
ajst-27334	77	38	show	show	VERB
ajst-27334	77	39	the	the	DET
ajst-27334	77	40	identity	identity	NOUN
ajst-27334	77	41	features	feature	NOUN
ajst-27334	77	42	of	of	ADP
ajst-27334	77	43	the	the	DET
ajst-27334	77	44	pedestrian	pedestrian	NOUN
ajst-27334	77	45	and	and	CCONJ
ajst-27334	77	46	make	make	VERB
ajst-27334	77	47	the	the	DET
ajst-27334	77	48	pedestrian	pedestrian	NOUN
ajst-27334	77	49	identity	identity	NOUN
ajst-27334	77	50	information	information	NOUN
ajst-27334	77	51	more	more	ADJ
ajst-27334	77	52	discriminative	discriminative	NOUN
ajst-27334	77	53	.	.	PUNCT
ajst-27334	78	1	as	as	SCONJ
ajst-27334	78	2	shown	show	VERB
ajst-27334	78	3	in	in	ADP
ajst-27334	78	4	figure	figure	NOUN
ajst-27334	78	5	4	4	NUM
ajst-27334	78	6	,	,	PUNCT
ajst-27334	78	7	the	the	DET
ajst-27334	78	8	whole	whole	ADJ
ajst-27334	78	9	body	body	NOUN
ajst-27334	78	10	part	part	NOUN
ajst-27334	78	11	,	,	PUNCT
ajst-27334	78	12	arm	arm	NOUN
ajst-27334	78	13	swing	swing	NOUN
ajst-27334	78	14	part	part	NOUN
ajst-27334	78	15	,	,	PUNCT
ajst-27334	78	16	leg	leg	NOUN
ajst-27334	78	17	change	change	NOUN
ajst-27334	78	18	part	part	NOUN
ajst-27334	78	19	of	of	ADP
ajst-27334	78	20	the	the	DET
ajst-27334	78	21	three	three	NUM
ajst-27334	78	22	regions	region	NOUN
ajst-27334	78	23	were	be	AUX
ajst-27334	78	24	input	input	ADJ
ajst-27334	78	25	to	to	ADP
ajst-27334	78	26	the	the	DET
ajst-27334	78	27	densenet201	densenet201	PROPN
ajst-27334	78	28	network	network	NOUN
ajst-27334	78	29	to	to	PART
ajst-27334	78	30	extract	extract	VERB
ajst-27334	78	31	features	feature	NOUN
ajst-27334	78	32	,	,	PUNCT
ajst-27334	78	33	after	after	ADP
ajst-27334	78	34	fine	fine	ADV
ajst-27334	78	35	-	-	PUNCT
ajst-27334	78	36	tuning	tune	VERB
ajst-27334	78	37	the	the	DET
ajst-27334	78	38	transfer	transfer	NOUN
ajst-27334	78	39	learning	learn	VERB
ajst-27334	78	40	network	network	NOUN
ajst-27334	78	41	to	to	PART
ajst-27334	78	42	extract	extract	VERB
ajst-27334	78	43	the	the	DET
ajst-27334	78	44	1920	1920	NUM
ajst-27334	78	45	-	-	PUNCT
ajst-27334	78	46	dimensional	dimensional	ADJ
ajst-27334	78	47	features	feature	NOUN
ajst-27334	78	48	of	of	ADP
ajst-27334	78	49	the	the	DET
ajst-27334	78	50	avg_pool	avg_pool	NOUN
ajst-27334	78	51	layer	layer	NOUN
ajst-27334	78	52	,	,	PUNCT
ajst-27334	78	53	at	at	ADP
ajst-27334	78	54	this	this	DET
ajst-27334	78	55	time	time	NOUN
ajst-27334	78	56	to	to	PART
ajst-27334	78	57	obtain	obtain	VERB
ajst-27334	78	58	the	the	DET
ajst-27334	78	59	three	three	NUM
ajst-27334	78	60	1920dimensional	1920dimensional	NUM
ajst-27334	78	61	features	feature	NOUN
ajst-27334	78	62	,	,	PUNCT
ajst-27334	78	63	which	which	PRON
ajst-27334	78	64	are	be	AUX
ajst-27334	78	65	summed	sum	VERB
ajst-27334	78	66	and	and	CCONJ
ajst-27334	78	67	averaged	average	VERB
ajst-27334	78	68	fusion	fusion	NOUN
ajst-27334	78	69	of	of	ADP
ajst-27334	78	70	the	the	DET
ajst-27334	78	71	three	three	NUM
ajst-27334	78	72	features	feature	NOUN
ajst-27334	78	73	,	,	PUNCT
ajst-27334	78	74	the	the	DET
ajst-27334	78	75	fused	fuse	VERB
ajst-27334	78	76	features	feature	NOUN
ajst-27334	78	77	are	be	AUX
ajst-27334	78	78	input	input	NOUN
ajst-27334	78	79	to	to	ADP
ajst-27334	78	80	the	the	DET
ajst-27334	78	81	discriminant	discriminant	ADJ
ajst-27334	78	82	analysis	analysis	NOUN
ajst-27334	78	83	classifier	classifier	NOUN
ajst-27334	78	84	for	for	ADP
ajst-27334	78	85	gait	gait	NOUN
ajst-27334	78	86	recognition	recognition	NOUN
ajst-27334	78	87	.	.	PUNCT
ajst-27334	79	1	extracting	extract	VERB
ajst-27334	79	2	grayscale	grayscale	NOUN
ajst-27334	79	3	maps	map	NOUN
ajst-27334	79	4	from	from	ADP
ajst-27334	79	5	video	video	NOUN
ajst-27334	79	6	background	background	NOUN
ajst-27334	79	7	subtraction	subtraction	NOUN
ajst-27334	79	8	human	human	ADJ
ajst-27334	79	9	side	side	NOUN
ajst-27334	79	10	profile	profile	NOUN
ajst-27334	79	11	adjusting	adjust	VERB
ajst-27334	79	12	the	the	DET
ajst-27334	79	13	image	image	NOUN
ajst-27334	79	14	after	after	ADP
ajst-27334	79	15	resizing	resize	VERB
ajst-27334	79	16	＋	＋	PUNCT
ajst-27334	79	17	：	：	PUNCT
ajst-27334	79	18	：	：	PUNCT
ajst-27334	79	19	：	：	PUNCT
ajst-27334	79	20	preprocessing	preprocesse	VERB
ajst-27334	79	21	of	of	ADP
ajst-27334	79	22	gait	gait	PROPN
ajst-27334	79	23	data	data	PROPN
ajst-27334	79	24	human	human	PROPN
ajst-27334	79	25	body	body	NOUN
ajst-27334	79	26	area	area	NOUN
ajst-27334	79	27	division	division	NOUN
ajst-27334	79	28	transfer	transfer	NOUN
ajst-27334	79	29	feature	feature	NOUN
ajst-27334	79	30	extraction	extraction	NOUN
ajst-27334	79	31	feature	feature	NOUN
ajst-27334	79	32	size	size	NOUN
ajst-27334	79	33	1920	1920	NUM
ajst-27334	79	34	dimensions	dimension	NOUN
ajst-27334	79	35	＋	＋	PUNCT
ajst-27334	79	36	summed	sum	VERB
ajst-27334	79	37	average	average	ADJ
ajst-27334	79	38	fusion	fusion	NOUN
ajst-27334	79	39	body	body	NOUN
ajst-27334	79	40	classification	classification	NOUN
ajst-27334	79	41	and	and	CCONJ
ajst-27334	79	42	recognition	recognition	NOUN
ajst-27334	79	43	feature	feature	NOUN
ajst-27334	79	44	fusion	fusion	NOUN
ajst-27334	79	45	arm	arm	NOUN
ajst-27334	79	46	leg	leg	PROPN
ajst-27334	79	47	ꞏꞏꞏ	ꞏꞏꞏ	PROPN
ajst-27334	79	48	ꞏꞏꞏ	ꞏꞏꞏ	PROPN
ajst-27334	79	49	0	0	PROPN
ajst-27334	80	1	y	y	PROPN
ajst-27334	80	2	=	=	PROPN
ajst-27334	80	3	wx	wx	X
ajst-27334	80	4	x	x	SYM
ajst-27334	80	5	y	y	PROPN
ajst-27334	80	6	(	(	PUNCT
ajst-27334	80	7	x2,y2	x2,y2	PROPN
ajst-27334	80	8	)	)	PUNCT
ajst-27334	80	9	(	(	PUNCT
ajst-27334	80	10	x1,y1	x1,y1	PROPN
ajst-27334	80	11	)	)	PUNCT
ajst-27334	80	12	pedestrian	pedestrian	NOUN
ajst-27334	80	13	1	1	NUM
ajst-27334	80	14	pedestrian	pedestrian	NOUN
ajst-27334	80	15	10	10	NUM
ajst-27334	80	16	pedestrian	pedestrian	NOUN
ajst-27334	80	17	124	124	NUM
ajst-27334	80	18	center	center	NOUN
ajst-27334	80	19	point	point	NOUN
ajst-27334	80	20	discriminant	discriminant	ADJ
ajst-27334	80	21	analysis	analysis	NOUN
ajst-27334	80	22	classifier	classifier	NOUN
ajst-27334	80	23	convolutional	convolutional	ADJ
ajst-27334	80	24	layer	layer	NOUN
ajst-27334	80	25	pooling	pool	VERB
ajst-27334	80	26	layer	layer	NOUN
ajst-27334	80	27	dense	dense	ADJ
ajst-27334	80	28	block	block	NOUN
ajst-27334	80	29	143	143	NUM
ajst-27334	80	30	3	3	NUM
ajst-27334	80	31	.	.	PUNCT
ajst-27334	80	32	experimental	experimental	ADJ
ajst-27334	80	33	setup	setup	NOUN
ajst-27334	80	34	and	and	CCONJ
ajst-27334	80	35	analysis	analysis	NOUN
ajst-27334	80	36	of	of	ADP
ajst-27334	80	37	results	result	NOUN
ajst-27334	80	38	3.1	3.1	NUM
ajst-27334	80	39	.	.	PUNCT
ajst-27334	81	1	experimental	experimental	ADJ
ajst-27334	81	2	setup	setup	NOUN
ajst-27334	81	3	in	in	ADP
ajst-27334	81	4	this	this	DET
ajst-27334	81	5	paper	paper	NOUN
ajst-27334	81	6	,	,	PUNCT
ajst-27334	81	7	the	the	DET
ajst-27334	81	8	casia	casia	NOUN
ajst-27334	81	9	-	-	PUNCT
ajst-27334	81	10	b	b	PROPN
ajst-27334	81	11	gait	gait	ADJ
ajst-27334	81	12	database	database	NOUN
ajst-27334	81	13	collected	collect	VERB
ajst-27334	81	14	by	by	ADP
ajst-27334	81	15	the	the	DET
ajst-27334	81	16	institute	institute	PROPN
ajst-27334	81	17	of	of	ADP
ajst-27334	81	18	automation	automation	NOUN
ajst-27334	81	19	of	of	ADP
ajst-27334	81	20	the	the	DET
ajst-27334	81	21	chinese	chinese	PROPN
ajst-27334	81	22	academy	academy	PROPN
ajst-27334	81	23	of	of	ADP
ajst-27334	81	24	sciences	sciences	PROPN
ajst-27334	81	25	was	be	AUX
ajst-27334	81	26	used	use	VERB
ajst-27334	81	27	for	for	ADP
ajst-27334	81	28	the	the	DET
ajst-27334	81	29	experimental	experimental	ADJ
ajst-27334	81	30	study	study	NOUN
ajst-27334	81	31	of	of	ADP
ajst-27334	81	32	gait	gait	NOUN
ajst-27334	81	33	.	.	PUNCT
ajst-27334	82	1	this	this	DET
ajst-27334	82	2	database	database	NOUN
ajst-27334	82	3	is	be	AUX
ajst-27334	82	4	a	a	DET
ajst-27334	82	5	data	data	NOUN
ajst-27334	82	6	collection	collection	NOUN
ajst-27334	82	7	of	of	ADP
ajst-27334	82	8	124	124	NUM
ajst-27334	82	9	volunteers	volunteer	NOUN
ajst-27334	82	10	,	,	PUNCT
ajst-27334	82	11	while	while	SCONJ
ajst-27334	82	12	using	use	VERB
ajst-27334	82	13	11	11	NUM
ajst-27334	82	14	cameras	camera	NOUN
ajst-27334	82	15	to	to	PART
ajst-27334	82	16	collect	collect	VERB
ajst-27334	82	17	data	datum	NOUN
ajst-27334	82	18	from	from	ADP
ajst-27334	82	19	11	11	NUM
ajst-27334	82	20	angles	angle	NOUN
ajst-27334	82	21	for	for	ADP
ajst-27334	82	22	each	each	DET
ajst-27334	82	23	volunteer	volunteer	NOUN
ajst-27334	82	24	,	,	PUNCT
ajst-27334	82	25	the	the	DET
ajst-27334	82	26	shooting	shooting	NOUN
ajst-27334	82	27	viewpoints	viewpoint	NOUN
ajst-27334	82	28	are	be	AUX
ajst-27334	82	29	0	0	NUM
ajst-27334	82	30	°	°	NUM
ajst-27334	82	31	to	to	ADP
ajst-27334	82	32	180	180	NUM
ajst-27334	82	33	°	°	NOUN
ajst-27334	82	34	,	,	PUNCT
ajst-27334	82	35	and	and	CCONJ
ajst-27334	82	36	one	one	NUM
ajst-27334	82	37	viewpoint	viewpoint	NOUN
ajst-27334	82	38	is	be	AUX
ajst-27334	82	39	taken	take	VERB
ajst-27334	82	40	every	every	DET
ajst-27334	82	41	18	18	NUM
ajst-27334	82	42	°	°	NOUN
ajst-27334	82	43	(	(	PUNCT
ajst-27334	82	44	0	0	NUM
ajst-27334	82	45	°	°	NUM
ajst-27334	82	46	,	,	PUNCT
ajst-27334	82	47	18	18	NUM
ajst-27334	82	48	°	°	NUM
ajst-27334	82	49	,	,	PUNCT
ajst-27334	82	50	36	36	NUM
ajst-27334	82	51	°	°	NOUN
ajst-27334	82	52	,	,	PUNCT
ajst-27334	82	53	54	54	NUM
ajst-27334	82	54	°	°	NOUN
ajst-27334	82	55	,	,	PUNCT
ajst-27334	82	56	72	72	NUM
ajst-27334	82	57	°	°	NUM
ajst-27334	82	58	,	,	PUNCT
ajst-27334	82	59	90	90	NUM
ajst-27334	82	60	°	°	NOUN
ajst-27334	82	61	,	,	PUNCT
ajst-27334	82	62	108	108	NUM
ajst-27334	82	63	°	°	NOUN
ajst-27334	82	64	,	,	PUNCT
ajst-27334	82	65	126	126	NUM
ajst-27334	82	66	°	°	NUM
ajst-27334	82	67	,	,	PUNCT
ajst-27334	82	68	144	144	NUM
ajst-27334	82	69	°	°	NOUN
ajst-27334	82	70	,	,	PUNCT
ajst-27334	82	71	162	162	NUM
ajst-27334	82	72	°	°	NOUN
ajst-27334	82	73	,	,	PUNCT
ajst-27334	82	74	and	and	CCONJ
ajst-27334	82	75	180	180	NUM
ajst-27334	82	76	°	°	NUM
ajst-27334	82	77	)	)	PUNCT
ajst-27334	82	78	,	,	PUNCT
ajst-27334	82	79	there	there	PRON
ajst-27334	82	80	are	be	VERB
ajst-27334	82	81	normal	normal	ADJ
ajst-27334	82	82	walking	walking	NOUN
ajst-27334	82	83	,	,	PUNCT
ajst-27334	82	84	backpack	backpack	NOUN
ajst-27334	82	85	,	,	PUNCT
ajst-27334	82	86	and	and	CCONJ
ajst-27334	82	87	coat	coat	NOUN
ajst-27334	82	88	-	-	PUNCT
ajst-27334	82	89	wearing	wear	VERB
ajst-27334	82	90	conditions	condition	NOUN
ajst-27334	82	91	.	.	PUNCT
ajst-27334	83	1	in	in	ADP
ajst-27334	83	2	the	the	DET
ajst-27334	83	3	normal	normal	ADJ
ajst-27334	83	4	walking	walking	NOUN
ajst-27334	83	5	condition	condition	NOUN
ajst-27334	83	6	,	,	PUNCT
ajst-27334	83	7	there	there	PRON
ajst-27334	83	8	are	be	VERB
ajst-27334	83	9	six	six	NUM
ajst-27334	83	10	repetitions	repetition	NOUN
ajst-27334	83	11	of	of	ADP
ajst-27334	83	12	nm01	nm01	PROPN
ajst-27334	83	13	-	-	PUNCT
ajst-27334	83	14	nm06	nm06	PROPN
ajst-27334	83	15	to	to	PART
ajst-27334	83	16	collect	collect	VERB
ajst-27334	83	17	data	datum	NOUN
ajst-27334	83	18	;	;	PUNCT
ajst-27334	83	19	in	in	ADP
ajst-27334	83	20	the	the	DET
ajst-27334	83	21	backpack	backpack	NOUN
ajst-27334	83	22	condition	condition	NOUN
ajst-27334	83	23	,	,	PUNCT
ajst-27334	83	24	there	there	PRON
ajst-27334	83	25	are	be	VERB
ajst-27334	83	26	two	two	NUM
ajst-27334	83	27	repetitions	repetition	NOUN
ajst-27334	83	28	of	of	ADP
ajst-27334	83	29	bg01	bg01	PROPN
ajst-27334	83	30	-	-	PUNCT
ajst-27334	83	31	bg02	bg02	PROPN
ajst-27334	83	32	to	to	PART
ajst-27334	83	33	collect	collect	VERB
ajst-27334	83	34	data	datum	NOUN
ajst-27334	83	35	;	;	PUNCT
ajst-27334	83	36	and	and	CCONJ
ajst-27334	83	37	in	in	ADP
ajst-27334	83	38	the	the	DET
ajst-27334	83	39	coat	coat	NOUN
ajst-27334	83	40	wearing	wear	VERB
ajst-27334	83	41	condition	condition	NOUN
ajst-27334	83	42	,	,	PUNCT
ajst-27334	83	43	there	there	PRON
ajst-27334	83	44	are	be	VERB
ajst-27334	83	45	two	two	NUM
ajst-27334	83	46	repetitions	repetition	NOUN
ajst-27334	83	47	of	of	ADP
ajst-27334	83	48	cl01	cl01	PROPN
ajst-27334	83	49	-	-	PUNCT
ajst-27334	83	50	cl02	cl02	PROPN
ajst-27334	83	51	to	to	PART
ajst-27334	83	52	collect	collect	VERB
ajst-27334	83	53	data	datum	NOUN
ajst-27334	83	54	.	.	PUNCT
ajst-27334	84	1	all	all	DET
ajst-27334	84	2	data	datum	NOUN
ajst-27334	84	3	need	need	VERB
ajst-27334	84	4	to	to	PART
ajst-27334	84	5	go	go	VERB
ajst-27334	84	6	through	through	ADP
ajst-27334	84	7	gait	gait	ADJ
ajst-27334	84	8	data	datum	NOUN
ajst-27334	84	9	preprocessing	preprocessing	NOUN
ajst-27334	84	10	operation	operation	NOUN
ajst-27334	84	11	,	,	PUNCT
ajst-27334	84	12	deep	deep	ADJ
ajst-27334	84	13	transfer	transfer	NOUN
ajst-27334	84	14	feature	feature	NOUN
ajst-27334	84	15	extraction	extraction	NOUN
ajst-27334	84	16	,	,	PUNCT
ajst-27334	84	17	and	and	CCONJ
ajst-27334	84	18	classification	classification	NOUN
ajst-27334	84	19	and	and	CCONJ
ajst-27334	84	20	recognition	recognition	NOUN
ajst-27334	84	21	steps	step	NOUN
ajst-27334	84	22	.	.	PUNCT
ajst-27334	85	1	experiments	experiment	NOUN
ajst-27334	85	2	are	be	AUX
ajst-27334	85	3	conducted	conduct	VERB
ajst-27334	85	4	on	on	ADP
ajst-27334	85	5	the	the	DET
ajst-27334	85	6	gait	gait	ADJ
ajst-27334	85	7	data	datum	NOUN
ajst-27334	85	8	in	in	ADP
ajst-27334	85	9	three	three	NUM
ajst-27334	85	10	conditions	condition	NOUN
ajst-27334	85	11	in	in	ADP
ajst-27334	85	12	turn	turn	NOUN
ajst-27334	85	13	,	,	PUNCT
ajst-27334	85	14	with	with	ADP
ajst-27334	85	15	nm01	nm01	PROPN
ajst-27334	85	16	-	-	PUNCT
ajst-27334	85	17	nm04	nm04	PROPN
ajst-27334	85	18	as	as	ADP
ajst-27334	85	19	the	the	DET
ajst-27334	85	20	training	training	NOUN
ajst-27334	85	21	set	set	NOUN
ajst-27334	85	22	and	and	CCONJ
ajst-27334	85	23	nm05	nm05	PROPN
ajst-27334	85	24	-	-	PUNCT
ajst-27334	85	25	nm06	nm06	PROPN
ajst-27334	85	26	as	as	ADP
ajst-27334	85	27	the	the	DET
ajst-27334	85	28	test	test	NOUN
ajst-27334	85	29	set	set	VERB
ajst-27334	85	30	for	for	ADP
ajst-27334	85	31	the	the	DET
ajst-27334	85	32	normal	normal	ADJ
ajst-27334	85	33	walking	walking	NOUN
ajst-27334	85	34	case	case	NOUN
ajst-27334	85	35	;	;	PUNCT
ajst-27334	85	36	bg01	bg01	PROPN
ajst-27334	85	37	as	as	ADP
ajst-27334	85	38	the	the	DET
ajst-27334	85	39	training	training	NOUN
ajst-27334	85	40	set	set	NOUN
ajst-27334	85	41	and	and	CCONJ
ajst-27334	85	42	bg02	bg02	PROPN
ajst-27334	85	43	as	as	ADP
ajst-27334	85	44	the	the	DET
ajst-27334	85	45	test	test	NOUN
ajst-27334	85	46	set	set	VERB
ajst-27334	85	47	for	for	ADP
ajst-27334	85	48	the	the	DET
ajst-27334	85	49	backpack	backpack	NOUN
ajst-27334	85	50	walking	walking	NOUN
ajst-27334	85	51	case	case	NOUN
ajst-27334	85	52	;	;	PUNCT
ajst-27334	85	53	and	and	CCONJ
ajst-27334	85	54	cl01	cl01	PROPN
ajst-27334	85	55	as	as	ADP
ajst-27334	85	56	the	the	DET
ajst-27334	85	57	training	training	NOUN
ajst-27334	85	58	set	set	NOUN
ajst-27334	85	59	and	and	CCONJ
ajst-27334	85	60	cl02	cl02	PROPN
ajst-27334	85	61	as	as	ADP
ajst-27334	85	62	the	the	DET
ajst-27334	85	63	test	test	NOUN
ajst-27334	85	64	set	set	VERB
ajst-27334	85	65	for	for	ADP
ajst-27334	85	66	the	the	DET
ajst-27334	85	67	overcoat	overcoat	NOUN
ajst-27334	85	68	walking	walking	NOUN
ajst-27334	85	69	case	case	NOUN
ajst-27334	85	70	.	.	PUNCT
ajst-27334	86	1	the	the	DET
ajst-27334	86	2	specifics	specific	NOUN
ajst-27334	86	3	of	of	ADP
ajst-27334	86	4	the	the	DET
ajst-27334	86	5	experimental	experimental	ADJ
ajst-27334	86	6	setup	setup	NOUN
ajst-27334	86	7	are	be	AUX
ajst-27334	86	8	shown	show	VERB
ajst-27334	86	9	in	in	ADP
ajst-27334	86	10	table	table	NOUN
ajst-27334	86	11	3	3	NUM
ajst-27334	86	12	:	:	PUNCT
ajst-27334	86	13	table	table	NOUN
ajst-27334	86	14	3	3	NUM
ajst-27334	86	15	.	.	PUNCT
ajst-27334	86	16	experimental	experimental	ADJ
ajst-27334	86	17	setup	setup	NOUN
ajst-27334	86	18	for	for	ADP
ajst-27334	86	19	the	the	DET
ajst-27334	86	20	casia	casia	NOUN
ajst-27334	86	21	-	-	PUNCT
ajst-27334	86	22	b	b	NOUN
ajst-27334	86	23	dataset	dataset	NOUN
ajst-27334	86	24	parameters	parameter	NOUN
ajst-27334	86	25	training	train	VERB
ajst-27334	86	26	set	set	NOUN
ajst-27334	86	27	test	test	NOUN
ajst-27334	86	28	set	set	VERB
ajst-27334	86	29	dataset	dataset	VERB
ajst-27334	86	30	nm01	nm01	PROPN
ajst-27334	86	31	-	-	PUNCT
ajst-27334	86	32	nm04	nm04	PROPN
ajst-27334	86	33	nm05	nm05	PROPN
ajst-27334	86	34	-	-	PUNCT
ajst-27334	86	35	nm06	nm06	PROPN
ajst-27334	86	36	bg01	bg01	PROPN
ajst-27334	86	37	bg02	bg02	PROPN
ajst-27334	86	38	cl01	cl01	PROPN
ajst-27334	86	39	cl02	cl02	PROPN
ajst-27334	86	40	3.2	3.2	NUM
ajst-27334	86	41	.	.	PUNCT
ajst-27334	87	1	feature	feature	NOUN
ajst-27334	87	2	visualization	visualization	NOUN
ajst-27334	87	3	and	and	CCONJ
ajst-27334	87	4	analysis	analysis	NOUN
ajst-27334	87	5	(	(	PUNCT
ajst-27334	87	6	a	a	X
ajst-27334	87	7	)	)	PUNCT
ajst-27334	87	8	shallow	shallow	ADJ
ajst-27334	87	9	visualization	visualization	NOUN
ajst-27334	87	10	(	(	PUNCT
ajst-27334	87	11	b	b	NOUN
ajst-27334	87	12	)	)	PUNCT
ajst-27334	87	13	deep	deep	ADJ
ajst-27334	87	14	visualization	visualization	NOUN
ajst-27334	87	15	figure	figure	NOUN
ajst-27334	87	16	5	5	NUM
ajst-27334	87	17	.	.	PUNCT
ajst-27334	87	18	visualization	visualization	NOUN
ajst-27334	87	19	of	of	ADP
ajst-27334	87	20	gait	gait	NOUN
ajst-27334	87	21	features	feature	NOUN
ajst-27334	87	22	extracted	extract	VERB
ajst-27334	87	23	by	by	ADP
ajst-27334	87	24	densenet201	densenet201	PROPN
ajst-27334	87	25	in	in	ADP
ajst-27334	87	26	order	order	NOUN
ajst-27334	87	27	to	to	PART
ajst-27334	87	28	more	more	ADV
ajst-27334	87	29	intuitively	intuitively	ADV
ajst-27334	87	30	show	show	VERB
ajst-27334	87	31	the	the	DET
ajst-27334	87	32	effect	effect	NOUN
ajst-27334	87	33	of	of	ADP
ajst-27334	87	34	the	the	DET
ajst-27334	87	35	transfer	transfer	NOUN
ajst-27334	87	36	learning	learn	VERB
ajst-27334	87	37	network	network	NOUN
ajst-27334	87	38	on	on	ADP
ajst-27334	87	39	the	the	DET
ajst-27334	87	40	extraction	extraction	NOUN
ajst-27334	87	41	of	of	ADP
ajst-27334	87	42	pedestrian	pedestrian	NOUN
ajst-27334	87	43	gait	gait	NOUN
ajst-27334	87	44	images	image	NOUN
ajst-27334	87	45	,	,	PUNCT
ajst-27334	87	46	the	the	DET
ajst-27334	87	47	effect	effect	NOUN
ajst-27334	87	48	of	of	ADP
ajst-27334	87	49	the	the	DET
ajst-27334	87	50	densenet201	densenet201	PROPN
ajst-27334	87	51	transfer	transfer	NOUN
ajst-27334	87	52	learning	learn	VERB
ajst-27334	87	53	network	network	NOUN
ajst-27334	87	54	on	on	ADP
ajst-27334	87	55	the	the	DET
ajst-27334	87	56	extraction	extraction	NOUN
ajst-27334	87	57	process	process	NOUN
ajst-27334	87	58	of	of	ADP
ajst-27334	87	59	gait	gait	ADJ
ajst-27334	87	60	images	image	NOUN
ajst-27334	87	61	is	be	AUX
ajst-27334	87	62	demonstrated	demonstrate	VERB
ajst-27334	87	63	.	.	PUNCT
ajst-27334	88	1	for	for	ADP
ajst-27334	88	2	deep	deep	ADJ
ajst-27334	88	3	feature	feature	NOUN
ajst-27334	88	4	extraction	extraction	NOUN
ajst-27334	88	5	,	,	PUNCT
ajst-27334	88	6	the	the	DET
ajst-27334	88	7	network	network	NOUN
ajst-27334	88	8	parameters	parameter	NOUN
ajst-27334	88	9	before	before	ADP
ajst-27334	88	10	the	the	DET
ajst-27334	88	11	conv5_block3_concat	conv5_block3_concat	NOUN
ajst-27334	88	12	layer	layer	NOUN
ajst-27334	88	13	are	be	AUX
ajst-27334	88	14	first	first	ADV
ajst-27334	88	15	frozen	frozen	ADJ
ajst-27334	88	16	,	,	PUNCT
ajst-27334	88	17	and	and	CCONJ
ajst-27334	88	18	then	then	ADV
ajst-27334	88	19	the	the	DET
ajst-27334	88	20	pedestrian	pedestrian	NOUN
ajst-27334	88	21	gait	gait	NOUN
ajst-27334	88	22	image	image	NOUN
ajst-27334	88	23	is	be	AUX
ajst-27334	88	24	input	input	VERB
ajst-27334	88	25	into	into	ADP
ajst-27334	88	26	the	the	DET
ajst-27334	88	27	network	network	NOUN
ajst-27334	88	28	to	to	ADP
ajst-27334	88	29	fine	fine	ADJ
ajst-27334	88	30	-	-	PUNCT
ajst-27334	88	31	tune	tune	NOUN
ajst-27334	89	1	the	the	DET
ajst-27334	89	2	network	network	NOUN
ajst-27334	89	3	parameters	parameter	NOUN
ajst-27334	89	4	after	after	ADP
ajst-27334	89	5	the	the	DET
ajst-27334	89	6	conv5_block3_concat	conv5_block3_concat	NOUN
ajst-27334	89	7	layer	layer	NOUN
ajst-27334	89	8	,	,	PUNCT
ajst-27334	89	9	and	and	CCONJ
ajst-27334	89	10	the	the	DET
ajst-27334	89	11	fine	fine	ADV
ajst-27334	89	12	-	-	PUNCT
ajst-27334	89	13	tuned	tune	VERB
ajst-27334	89	14	transfer	transfer	NOUN
ajst-27334	89	15	network	network	NOUN
ajst-27334	89	16	is	be	AUX
ajst-27334	89	17	used	use	VERB
ajst-27334	89	18	to	to	PART
ajst-27334	89	19	extract	extract	VERB
ajst-27334	89	20	deep	deep	ADJ
ajst-27334	89	21	features	feature	NOUN
ajst-27334	89	22	from	from	ADP
ajst-27334	89	23	the	the	DET
ajst-27334	89	24	pedestrian	pedestrian	NOUN
ajst-27334	89	25	gait	gait	PROPN
ajst-27334	89	26	data	data	PROPN
ajst-27334	89	27	.	.	PUNCT
ajst-27334	90	1	the	the	DET
ajst-27334	90	2	features	feature	NOUN
ajst-27334	90	3	extracted	extract	VERB
ajst-27334	90	4	using	use	VERB
ajst-27334	90	5	the	the	DET
ajst-27334	90	6	deep	deep	ADJ
ajst-27334	90	7	network	network	NOUN
ajst-27334	90	8	are	be	AUX
ajst-27334	90	9	deeper	deep	ADJ
ajst-27334	90	10	layer	layer	NOUN
ajst-27334	90	11	by	by	ADP
ajst-27334	90	12	layer	layer	NOUN
ajst-27334	90	13	,	,	PUNCT
ajst-27334	90	14	in	in	ADP
ajst-27334	90	15	order	order	NOUN
ajst-27334	90	16	to	to	PART
ajst-27334	90	17	be	be	AUX
ajst-27334	90	18	able	able	ADJ
ajst-27334	90	19	to	to	PART
ajst-27334	90	20	clearly	clearly	ADV
ajst-27334	90	21	see	see	VERB
ajst-27334	90	22	the	the	DET
ajst-27334	90	23	changes	change	NOUN
ajst-27334	90	24	of	of	ADP
ajst-27334	90	25	image	image	NOUN
ajst-27334	90	26	features	feature	NOUN
ajst-27334	90	27	in	in	ADP
ajst-27334	90	28	the	the	DET
ajst-27334	90	29	transfer	transfer	NOUN
ajst-27334	90	30	learning	learn	VERB
ajst-27334	90	31	network	network	NOUN
ajst-27334	90	32	,	,	PUNCT
ajst-27334	90	33	this	this	DET
ajst-27334	90	34	paper	paper	NOUN
ajst-27334	90	35	will	will	AUX
ajst-27334	90	36	densenet201	densenet201	VERB
ajst-27334	90	37	network	network	NOUN
ajst-27334	90	38	extracted	extract	VERB
ajst-27334	90	39	features	feature	NOUN
ajst-27334	90	40	to	to	PART
ajst-27334	90	41	do	do	VERB
ajst-27334	90	42	shallow	shallow	ADJ
ajst-27334	90	43	visualization	visualization	NOUN
ajst-27334	90	44	and	and	CCONJ
ajst-27334	90	45	deep	deep	ADJ
ajst-27334	90	46	visualization	visualization	NOUN
ajst-27334	90	47	processing	processing	NOUN
ajst-27334	90	48	,	,	PUNCT
ajst-27334	90	49	as	as	SCONJ
ajst-27334	90	50	shown	show	VERB
ajst-27334	90	51	in	in	ADP
ajst-27334	90	52	figure	figure	NOUN
ajst-27334	90	53	5	5	NUM
ajst-27334	90	54	,	,	PUNCT
ajst-27334	90	55	it	it	PRON
ajst-27334	90	56	can	can	AUX
ajst-27334	90	57	clearly	clearly	ADV
ajst-27334	90	58	see	see	VERB
ajst-27334	90	59	that	that	SCONJ
ajst-27334	90	60	the	the	DET
ajst-27334	90	61	shallow	shallow	ADJ
ajst-27334	90	62	features	feature	NOUN
ajst-27334	90	63	extracted	extract	VERB
ajst-27334	90	64	by	by	ADP
ajst-27334	90	65	the	the	DET
ajst-27334	90	66	transfer	transfer	NOUN
ajst-27334	90	67	network	network	NOUN
ajst-27334	90	68	are	be	AUX
ajst-27334	90	69	mainly	mainly	ADV
ajst-27334	90	70	extracted	extract	VERB
ajst-27334	90	71	from	from	ADP
ajst-27334	90	72	the	the	DET
ajst-27334	90	73	pedestrians	pedestrian	NOUN
ajst-27334	90	74	'	'	PART
ajst-27334	90	75	body	body	NOUN
ajst-27334	90	76	shape	shape	NOUN
ajst-27334	90	77	contour	contour	NOUN
ajst-27334	90	78	and	and	CCONJ
ajst-27334	90	79	other	other	ADJ
ajst-27334	90	80	basic	basic	ADJ
ajst-27334	90	81	features	feature	NOUN
ajst-27334	90	82	,	,	PUNCT
ajst-27334	90	83	which	which	PRON
ajst-27334	90	84	is	be	AUX
ajst-27334	90	85	in	in	ADP
ajst-27334	90	86	favor	favor	NOUN
ajst-27334	90	87	of	of	ADP
ajst-27334	90	88	image	image	NOUN
ajst-27334	90	89	details	detail	NOUN
ajst-27334	90	90	;	;	PUNCT
ajst-27334	90	91	while	while	SCONJ
ajst-27334	90	92	with	with	ADP
ajst-27334	90	93	the	the	DET
ajst-27334	90	94	deepening	deepening	NOUN
ajst-27334	90	95	of	of	ADP
ajst-27334	90	96	the	the	DET
ajst-27334	90	97	layers	layer	NOUN
ajst-27334	90	98	,	,	PUNCT
ajst-27334	90	99	the	the	DET
ajst-27334	90	100	deep	deep	ADJ
ajst-27334	90	101	network	network	NOUN
ajst-27334	90	102	focuses	focus	VERB
ajst-27334	90	103	more	more	ADV
ajst-27334	90	104	on	on	ADP
ajst-27334	90	105	abstract	abstract	ADJ
ajst-27334	90	106	features	feature	NOUN
ajst-27334	90	107	and	and	CCONJ
ajst-27334	90	108	the	the	DET
ajst-27334	90	109	proposed	propose	VERB
ajst-27334	90	110	features	feature	NOUN
ajst-27334	90	111	are	be	AUX
ajst-27334	90	112	more	more	ADJ
ajst-27334	90	113	discriminative	discriminative	NOUN
ajst-27334	90	114	.	.	PUNCT
ajst-27334	91	1	3.3	3.3	NUM
ajst-27334	91	2	.	.	PUNCT
ajst-27334	92	1	analysis	analysis	NOUN
ajst-27334	92	2	of	of	ADP
ajst-27334	92	3	experimental	experimental	ADJ
ajst-27334	92	4	results	result	NOUN
ajst-27334	92	5	according	accord	VERB
ajst-27334	92	6	to	to	ADP
ajst-27334	92	7	the	the	DET
ajst-27334	92	8	gait	gait	ADJ
ajst-27334	92	9	recognition	recognition	NOUN
ajst-27334	92	10	experiments	experiment	NOUN
ajst-27334	92	11	mentioned	mention	VERB
ajst-27334	92	12	in	in	ADP
ajst-27334	92	13	2.3	2.3	NUM
ajst-27334	92	14	,	,	PUNCT
ajst-27334	92	15	we	we	PRON
ajst-27334	92	16	can	can	AUX
ajst-27334	92	17	know	know	VERB
ajst-27334	92	18	that	that	SCONJ
ajst-27334	92	19	in	in	ADP
ajst-27334	92	20	the	the	DET
ajst-27334	92	21	same	same	ADJ
ajst-27334	92	22	condition	condition	NOUN
ajst-27334	92	23	,	,	PUNCT
ajst-27334	92	24	this	this	DET
ajst-27334	92	25	chapter	chapter	NOUN
ajst-27334	92	26	needs	need	VERB
ajst-27334	92	27	to	to	PART
ajst-27334	92	28	do	do	VERB
ajst-27334	92	29	four	four	NUM
ajst-27334	92	30	sets	set	NOUN
ajst-27334	92	31	of	of	ADP
ajst-27334	92	32	experiments	experiment	NOUN
ajst-27334	92	33	:	:	PUNCT
ajst-27334	92	34	gait	gait	PROPN
ajst-27334	92	35	recognition	recognition	NOUN
ajst-27334	92	36	based	base	VERB
ajst-27334	92	37	on	on	ADP
ajst-27334	92	38	the	the	DET
ajst-27334	92	39	transfer	transfer	NOUN
ajst-27334	92	40	features	feature	NOUN
ajst-27334	92	41	of	of	ADP
ajst-27334	92	42	the	the	DET
ajst-27334	92	43	whole	whole	ADJ
ajst-27334	92	44	human	human	ADJ
ajst-27334	92	45	body	body	NOUN
ajst-27334	92	46	region	region	NOUN
ajst-27334	92	47	,	,	PUNCT
ajst-27334	92	48	gait	gait	ADJ
ajst-27334	92	49	recognition	recognition	NOUN
ajst-27334	92	50	based	base	VERB
ajst-27334	92	51	on	on	ADP
ajst-27334	92	52	the	the	DET
ajst-27334	92	53	transfer	transfer	NOUN
ajst-27334	92	54	features	feature	NOUN
ajst-27334	92	55	of	of	ADP
ajst-27334	92	56	the	the	DET
ajst-27334	92	57	arm	arm	NOUN
ajst-27334	92	58	region	region	NOUN
ajst-27334	92	59	,	,	PUNCT
ajst-27334	92	60	gait	gait	ADJ
ajst-27334	92	61	recognition	recognition	NOUN
ajst-27334	92	62	based	base	VERB
ajst-27334	92	63	on	on	ADP
ajst-27334	92	64	the	the	DET
ajst-27334	92	65	transfer	transfer	NOUN
ajst-27334	92	66	features	feature	NOUN
ajst-27334	92	67	of	of	ADP
ajst-27334	92	68	the	the	DET
ajst-27334	92	69	leg	leg	NOUN
ajst-27334	92	70	region	region	NOUN
ajst-27334	92	71	,	,	PUNCT
ajst-27334	92	72	and	and	CCONJ
ajst-27334	92	73	gait	gait	PROPN
ajst-27334	92	74	recognition	recognition	NOUN
ajst-27334	92	75	based	base	VERB
ajst-27334	92	76	on	on	ADP
ajst-27334	92	77	the	the	DET
ajst-27334	92	78	fusion	fusion	NOUN
ajst-27334	92	79	of	of	ADP
ajst-27334	92	80	the	the	DET
ajst-27334	92	81	transfer	transfer	NOUN
ajst-27334	92	82	features	feature	NOUN
ajst-27334	92	83	of	of	ADP
ajst-27334	92	84	multi	multi	ADJ
ajst-27334	92	85	-	-	NOUN
ajst-27334	92	86	region	region	NOUN
ajst-27334	92	87	,	,	PUNCT
ajst-27334	92	88	and	and	CCONJ
ajst-27334	92	89	gait	gait	ADJ
ajst-27334	92	90	experiments	experiment	NOUN
ajst-27334	92	91	are	be	AUX
ajst-27334	92	92	conducted	conduct	VERB
ajst-27334	92	93	in	in	ADP
ajst-27334	92	94	three	three	NUM
ajst-27334	92	95	conditions	condition	NOUN
ajst-27334	92	96	of	of	ADP
ajst-27334	92	97	normal	normal	ADJ
ajst-27334	92	98	walking	walking	NOUN
ajst-27334	92	99	,	,	PUNCT
ajst-27334	92	100	backpacking	backpacking	NOUN
ajst-27334	92	101	,	,	PUNCT
ajst-27334	92	102	and	and	CCONJ
ajst-27334	92	103	wearing	wear	VERB
ajst-27334	92	104	a	a	DET
ajst-27334	92	105	coat	coat	NOUN
ajst-27334	92	106	,	,	PUNCT
ajst-27334	92	107	which	which	PRON
ajst-27334	92	108	are	be	AUX
ajst-27334	92	109	the	the	DET
ajst-27334	92	110	three	three	NUM
ajst-27334	92	111	conditions	condition	NOUN
ajst-27334	92	112	of	of	ADP
ajst-27334	92	113	normal	normal	ADJ
ajst-27334	92	114	walking	walking	NOUN
ajst-27334	92	115	,	,	PUNCT
ajst-27334	92	116	backpacking	backpacking	NOUN
ajst-27334	92	117	,	,	PUNCT
ajst-27334	92	118	and	and	CCONJ
ajst-27334	92	119	wearing	wear	VERB
ajst-27334	92	120	a	a	DET
ajst-27334	92	121	coat	coat	NOUN
ajst-27334	92	122	in	in	ADP
ajst-27334	92	123	the	the	DET
ajst-27334	92	124	casia	casia	NOUN
ajst-27334	92	125	-	-	PUNCT
ajst-27334	92	126	b	b	PROPN
ajst-27334	92	127	gait	gait	ADJ
ajst-27334	92	128	database	database	NOUN
ajst-27334	92	129	collected	collect	VERB
ajst-27334	92	130	by	by	ADP
ajst-27334	92	131	the	the	DET
ajst-27334	92	132	institute	institute	PROPN
ajst-27334	92	133	of	of	ADP
ajst-27334	92	134	automation	automation	NOUN
ajst-27334	92	135	of	of	ADP
ajst-27334	92	136	the	the	DET
ajst-27334	92	137	chinese	chinese	PROPN
ajst-27334	92	138	academy	academy	PROPN
ajst-27334	92	139	of	of	ADP
ajst-27334	92	140	sciences	sciences	PROPN
ajst-27334	92	141	.	.	PUNCT
ajst-27334	93	1	the	the	DET
ajst-27334	93	2	gait	gait	ADJ
ajst-27334	93	3	experiments	experiment	NOUN
ajst-27334	93	4	are	be	AUX
ajst-27334	93	5	conducted	conduct	VERB
ajst-27334	93	6	for	for	ADP
ajst-27334	93	7	three	three	NUM
ajst-27334	93	8	conditions	condition	NOUN
ajst-27334	93	9	of	of	ADP
ajst-27334	93	10	normal	normal	ADJ
ajst-27334	93	11	walking	walking	NOUN
ajst-27334	93	12	,	,	PUNCT
ajst-27334	93	13	backpacking	backpacking	NOUN
ajst-27334	93	14	and	and	CCONJ
ajst-27334	93	15	wearing	wear	VERB
ajst-27334	93	16	a	a	DET
ajst-27334	93	17	coat	coat	NOUN
ajst-27334	93	18	in	in	ADP
ajst-27334	93	19	the	the	DET
ajst-27334	93	20	database	database	NOUN
ajst-27334	93	21	.	.	PUNCT
ajst-27334	94	1	144	144	NUM
ajst-27334	94	2	table	table	NOUN
ajst-27334	94	3	4	4	NUM
ajst-27334	94	4	.	.	PUNCT
ajst-27334	94	5	gait	gait	PROPN
ajst-27334	94	6	recognition	recognition	NOUN
ajst-27334	94	7	rate	rate	NOUN
ajst-27334	94	8	(	(	PUNCT
ajst-27334	94	9	%	%	INTJ
ajst-27334	94	10	)	)	PUNCT
ajst-27334	94	11	in	in	ADP
ajst-27334	94	12	normal	normal	ADJ
ajst-27334	94	13	walking	walking	NOUN
ajst-27334	94	14	condition	condition	NOUN
ajst-27334	94	15	feature	feature	NOUN
ajst-27334	94	16	viewpoint	viewpoint	NOUN
ajst-27334	94	17	0	0	NUM
ajst-27334	94	18	°	°	NUM
ajst-27334	94	19	18	18	NUM
ajst-27334	94	20	°	°	NOUN
ajst-27334	94	21	36	36	NUM
ajst-27334	94	22	°	°	NOUN
ajst-27334	94	23	54	54	NUM
ajst-27334	94	24	°	°	NOUN
ajst-27334	94	25	72	72	NUM
ajst-27334	94	26	°	°	NOUN
ajst-27334	94	27	90	90	NUM
ajst-27334	94	28	°	°	NOUN
ajst-27334	94	29	108	108	NUM
ajst-27334	94	30	°	°	NOUN
ajst-27334	94	31	126	126	NUM
ajst-27334	94	32	°	°	NOUN
ajst-27334	94	33	144	144	NUM
ajst-27334	94	34	°	°	NOUN
ajst-27334	94	35	162	162	NUM
ajst-27334	94	36	°	°	NOUN
ajst-27334	94	37	180	180	NUM
ajst-27334	94	38	°	°	PROPN
ajst-27334	94	39	body	body	NOUN
ajst-27334	94	40	94.8	94.8	NUM
ajst-27334	94	41	92.1	92.1	NUM
ajst-27334	94	42	91.6	91.6	NUM
ajst-27334	94	43	86.1	86.1	NUM
ajst-27334	94	44	87.5	87.5	NUM
ajst-27334	94	45	87.5	87.5	NUM
ajst-27334	94	46	87.1	87.1	NUM
ajst-27334	94	47	87.7	87.7	NUM
ajst-27334	94	48	89.9	89.9	NUM
ajst-27334	94	49	93.3	93.3	NUM
ajst-27334	94	50	95.3	95.3	NUM
ajst-27334	94	51	arms	arm	NOUN
ajst-27334	94	52	85.4	85.4	NUM
ajst-27334	94	53	73.6	73.6	NUM
ajst-27334	94	54	66.3	66.3	NUM
ajst-27334	94	55	58.1	58.1	NUM
ajst-27334	94	56	57.5	57.5	NUM
ajst-27334	94	57	56.3	56.3	NUM
ajst-27334	94	58	55.7	55.7	NUM
ajst-27334	94	59	57.7	57.7	NUM
ajst-27334	94	60	62.7	62.7	NUM
ajst-27334	94	61	72.5	72.5	NUM
ajst-27334	94	62	80.5	80.5	NUM
ajst-27334	94	63	legs	leg	NOUN
ajst-27334	94	64	62.6	62.6	NUM
ajst-27334	94	65	54.8	54.8	NUM
ajst-27334	94	66	50.5	50.5	NUM
ajst-27334	94	67	48.9	48.9	NUM
ajst-27334	94	68	57.0	57.0	NUM
ajst-27334	94	69	63.0	63.0	NUM
ajst-27334	94	70	58.6	58.6	NUM
ajst-27334	94	71	53.7	53.7	NUM
ajst-27334	94	72	47.6	47.6	NUM
ajst-27334	94	73	47.5	47.5	NUM
ajst-27334	94	74	49.0	49.0	NUM
ajst-27334	94	75	fusion	fusion	NOUN
ajst-27334	94	76	96.2	96.2	NUM
ajst-27334	94	77	93.2	93.2	NUM
ajst-27334	94	78	92.7	92.7	NUM
ajst-27334	94	79	93.5	93.5	NUM
ajst-27334	94	80	94.9	94.9	NUM
ajst-27334	94	81	95.2	95.2	NUM
ajst-27334	94	82	93.1	93.1	NUM
ajst-27334	94	83	91.0	91.0	NUM
ajst-27334	94	84	92.6	92.6	NUM
ajst-27334	94	85	94.8	94.8	NUM
ajst-27334	94	86	96.0	96.0	NUM
ajst-27334	94	87	as	as	SCONJ
ajst-27334	94	88	shown	show	VERB
ajst-27334	94	89	in	in	ADP
ajst-27334	94	90	table	table	NOUN
ajst-27334	94	91	4	4	NUM
ajst-27334	94	92	,	,	PUNCT
ajst-27334	94	93	under	under	ADP
ajst-27334	94	94	the	the	DET
ajst-27334	94	95	normal	normal	ADJ
ajst-27334	94	96	walking	walking	NOUN
ajst-27334	94	97	condition	condition	NOUN
ajst-27334	94	98	,	,	PUNCT
ajst-27334	94	99	we	we	PRON
ajst-27334	94	100	did	do	VERB
ajst-27334	94	101	gait	gait	ADJ
ajst-27334	94	102	recognition	recognition	NOUN
ajst-27334	94	103	experiments	experiment	NOUN
ajst-27334	94	104	on	on	ADP
ajst-27334	94	105	the	the	DET
ajst-27334	94	106	whole	whole	ADJ
ajst-27334	94	107	human	human	ADJ
ajst-27334	94	108	body	body	NOUN
ajst-27334	94	109	,	,	PUNCT
ajst-27334	94	110	arm	arm	NOUN
ajst-27334	94	111	swing	swing	NOUN
ajst-27334	94	112	region	region	NOUN
ajst-27334	94	113	,	,	PUNCT
ajst-27334	94	114	leg	leg	NOUN
ajst-27334	94	115	swing	swing	NOUN
ajst-27334	94	116	region	region	NOUN
ajst-27334	94	117	,	,	PUNCT
ajst-27334	94	118	and	and	CCONJ
ajst-27334	94	119	three	three	NUM
ajst-27334	94	120	-	-	PUNCT
ajst-27334	94	121	region	region	NOUN
ajst-27334	94	122	summation	summation	NOUN
ajst-27334	94	123	and	and	CCONJ
ajst-27334	94	124	average	average	ADJ
ajst-27334	94	125	fusion	fusion	NOUN
ajst-27334	94	126	.	.	PUNCT
ajst-27334	95	1	from	from	ADP
ajst-27334	95	2	0	0	NUM
ajst-27334	95	3	°	°	NOUN
ajst-27334	95	4	to	to	ADP
ajst-27334	95	5	180	180	NUM
ajst-27334	95	6	°	°	NOUN
ajst-27334	95	7	of	of	ADP
ajst-27334	95	8	the	the	DET
ajst-27334	95	9	11	11	NUM
ajst-27334	95	10	viewpoints	viewpoint	NOUN
ajst-27334	95	11	can	can	AUX
ajst-27334	95	12	be	be	AUX
ajst-27334	95	13	seen	see	VERB
ajst-27334	95	14	,	,	PUNCT
ajst-27334	95	15	the	the	DET
ajst-27334	95	16	whole	whole	ADJ
ajst-27334	95	17	body	body	NOUN
ajst-27334	95	18	region	region	NOUN
ajst-27334	95	19	for	for	ADP
ajst-27334	95	20	migrating	migrate	VERB
ajst-27334	95	21	feature	feature	NOUN
ajst-27334	95	22	extraction	extraction	NOUN
ajst-27334	95	23	and	and	CCONJ
ajst-27334	95	24	classification	classification	NOUN
ajst-27334	95	25	of	of	ADP
ajst-27334	95	26	the	the	DET
ajst-27334	95	27	recognition	recognition	NOUN
ajst-27334	95	28	of	of	ADP
ajst-27334	95	29	the	the	DET
ajst-27334	95	30	best	good	ADJ
ajst-27334	95	31	results	result	NOUN
ajst-27334	95	32	,	,	PUNCT
ajst-27334	95	33	which	which	PRON
ajst-27334	95	34	is	be	AUX
ajst-27334	95	35	also	also	ADV
ajst-27334	95	36	reflected	reflect	VERB
ajst-27334	95	37	from	from	ADP
ajst-27334	95	38	the	the	DET
ajst-27334	95	39	side	side	NOUN
ajst-27334	95	40	of	of	ADP
ajst-27334	95	41	the	the	DET
ajst-27334	95	42	whole	whole	ADJ
ajst-27334	95	43	body	body	NOUN
ajst-27334	95	44	region	region	NOUN
ajst-27334	95	45	of	of	ADP
ajst-27334	95	46	the	the	DET
ajst-27334	95	47	characteristics	characteristic	NOUN
ajst-27334	95	48	of	of	ADP
ajst-27334	95	49	the	the	DET
ajst-27334	95	50	full	full	ADJ
ajst-27334	95	51	-	-	PUNCT
ajst-27334	95	52	body	body	NOUN
ajst-27334	95	53	region	region	NOUN
ajst-27334	95	54	more	more	ADV
ajst-27334	95	55	fully	fully	ADV
ajst-27334	95	56	reflect	reflect	VERB
ajst-27334	95	57	the	the	DET
ajst-27334	95	58	identity	identity	NOUN
ajst-27334	95	59	of	of	ADP
ajst-27334	95	60	the	the	DET
ajst-27334	95	61	traveler	traveler	NOUN
ajst-27334	95	62	,	,	PUNCT
ajst-27334	95	63	the	the	DET
ajst-27334	95	64	arm	arm	NOUN
ajst-27334	95	65	swing	swing	NOUN
ajst-27334	95	66	region	region	NOUN
ajst-27334	95	67	,	,	PUNCT
ajst-27334	95	68	although	although	SCONJ
ajst-27334	95	69	the	the	DET
ajst-27334	95	70	identification	identification	NOUN
ajst-27334	95	71	of	of	ADP
ajst-27334	95	72	the	the	DET
ajst-27334	95	73	identity	identity	NOUN
ajst-27334	95	74	of	of	ADP
ajst-27334	95	75	the	the	DET
ajst-27334	95	76	traveler	traveler	NOUN
ajst-27334	95	77	alone	alone	ADV
ajst-27334	95	78	to	to	PART
ajst-27334	95	79	identify	identify	VERB
ajst-27334	95	80	the	the	DET
ajst-27334	95	81	recognition	recognition	NOUN
ajst-27334	95	82	of	of	ADP
ajst-27334	95	83	the	the	DET
ajst-27334	95	84	lower	low	ADJ
ajst-27334	95	85	rate	rate	NOUN
ajst-27334	95	86	,	,	PUNCT
ajst-27334	95	87	but	but	CCONJ
ajst-27334	95	88	through	through	ADP
ajst-27334	95	89	the	the	DET
ajst-27334	95	90	whole	whole	ADJ
ajst-27334	95	91	human	human	ADJ
ajst-27334	95	92	body	body	NOUN
ajst-27334	95	93	region	region	NOUN
ajst-27334	95	94	,	,	PUNCT
ajst-27334	95	95	the	the	DET
ajst-27334	95	96	arm	arm	NOUN
ajst-27334	95	97	swing	swing	NOUN
ajst-27334	95	98	region	region	NOUN
ajst-27334	95	99	,	,	PUNCT
ajst-27334	95	100	the	the	DET
ajst-27334	95	101	leg	leg	NOUN
ajst-27334	95	102	swing	swing	NOUN
ajst-27334	95	103	region	region	NOUN
ajst-27334	95	104	of	of	ADP
ajst-27334	95	105	the	the	DET
ajst-27334	95	106	three	three	NUM
ajst-27334	95	107	regions	region	NOUN
ajst-27334	95	108	of	of	ADP
ajst-27334	95	109	the	the	DET
ajst-27334	95	110	fusion	fusion	NOUN
ajst-27334	95	111	of	of	ADP
ajst-27334	95	112	the	the	DET
ajst-27334	95	113	characteristics	characteristic	NOUN
ajst-27334	95	114	of	of	ADP
ajst-27334	95	115	the	the	DET
ajst-27334	95	116	body	body	NOUN
ajst-27334	95	117	region	region	NOUN
ajst-27334	95	118	,	,	PUNCT
ajst-27334	95	119	the	the	DET
ajst-27334	95	120	arm	arm	NOUN
ajst-27334	95	121	swing	swing	NOUN
ajst-27334	95	122	region	region	NOUN
ajst-27334	95	123	,	,	PUNCT
ajst-27334	95	124	the	the	DET
ajst-27334	95	125	leg	leg	NOUN
ajst-27334	95	126	swing	swing	NOUN
ajst-27334	95	127	region	region	NOUN
ajst-27334	95	128	,	,	PUNCT
ajst-27334	95	129	to	to	PART
ajst-27334	95	130	be	be	AUX
ajst-27334	95	131	able	able	ADJ
ajst-27334	95	132	to	to	PART
ajst-27334	95	133	although	although	SCONJ
ajst-27334	95	134	the	the	DET
ajst-27334	95	135	recognition	recognition	NOUN
ajst-27334	95	136	rate	rate	NOUN
ajst-27334	95	137	is	be	AUX
ajst-27334	95	138	low	low	ADJ
ajst-27334	95	139	,	,	PUNCT
ajst-27334	95	140	through	through	ADP
ajst-27334	95	141	the	the	DET
ajst-27334	95	142	fusion	fusion	NOUN
ajst-27334	95	143	of	of	ADP
ajst-27334	95	144	the	the	DET
ajst-27334	95	145	whole	whole	ADJ
ajst-27334	95	146	human	human	ADJ
ajst-27334	95	147	body	body	NOUN
ajst-27334	95	148	region	region	NOUN
ajst-27334	95	149	,	,	PUNCT
ajst-27334	95	150	arm	arm	NOUN
ajst-27334	95	151	swing	swing	NOUN
ajst-27334	95	152	region	region	NOUN
ajst-27334	95	153	and	and	CCONJ
ajst-27334	95	154	leg	leg	NOUN
ajst-27334	95	155	swing	swing	NOUN
ajst-27334	95	156	region	region	NOUN
ajst-27334	95	157	features	feature	VERB
ajst-27334	95	158	,	,	PUNCT
ajst-27334	95	159	it	it	PRON
ajst-27334	95	160	can	can	AUX
ajst-27334	95	161	reflect	reflect	VERB
ajst-27334	95	162	the	the	DET
ajst-27334	95	163	comprehensive	comprehensive	ADJ
ajst-27334	95	164	pedestrian	pedestrian	NOUN
ajst-27334	95	165	feature	feature	NOUN
ajst-27334	95	166	information	information	NOUN
ajst-27334	95	167	and	and	CCONJ
ajst-27334	95	168	the	the	DET
ajst-27334	95	169	regional	regional	ADJ
ajst-27334	95	170	pedestrian	pedestrian	NOUN
ajst-27334	95	171	feature	feature	NOUN
ajst-27334	95	172	information	information	NOUN
ajst-27334	95	173	with	with	ADP
ajst-27334	95	174	great	great	ADJ
ajst-27334	95	175	variability	variability	NOUN
ajst-27334	95	176	,	,	PUNCT
ajst-27334	95	177	which	which	PRON
ajst-27334	95	178	complement	complement	VERB
ajst-27334	95	179	each	each	DET
ajst-27334	95	180	other	other	ADJ
ajst-27334	95	181	and	and	CCONJ
ajst-27334	95	182	reflect	reflect	VERB
ajst-27334	95	183	the	the	DET
ajst-27334	95	184	identity	identity	NOUN
ajst-27334	95	185	of	of	ADP
ajst-27334	95	186	the	the	DET
ajst-27334	95	187	traveler	traveler	NOUN
ajst-27334	95	188	in	in	ADP
ajst-27334	95	189	a	a	DET
ajst-27334	95	190	complete	complete	ADJ
ajst-27334	95	191	and	and	CCONJ
ajst-27334	95	192	full	full	ADJ
ajst-27334	95	193	way	way	NOUN
ajst-27334	95	194	.	.	PUNCT
ajst-27334	96	1	table	table	NOUN
ajst-27334	96	2	5	5	NUM
ajst-27334	96	3	.	.	PUNCT
ajst-27334	96	4	gait	gait	PROPN
ajst-27334	96	5	recognition	recognition	NOUN
ajst-27334	96	6	rate	rate	NOUN
ajst-27334	96	7	(	(	PUNCT
ajst-27334	96	8	%	%	INTJ
ajst-27334	96	9	)	)	PUNCT
ajst-27334	96	10	in	in	ADP
ajst-27334	96	11	backpacking	backpacking	NOUN
ajst-27334	96	12	condition	condition	NOUN
ajst-27334	96	13	feature	feature	NOUN
ajst-27334	96	14	viewpoint	viewpoint	NOUN
ajst-27334	96	15	0	0	NUM
ajst-27334	96	16	°	°	NUM
ajst-27334	96	17	18	18	NUM
ajst-27334	96	18	°	°	NOUN
ajst-27334	96	19	36	36	NUM
ajst-27334	96	20	°	°	NOUN
ajst-27334	96	21	54	54	NUM
ajst-27334	96	22	°	°	NOUN
ajst-27334	96	23	72	72	NUM
ajst-27334	96	24	°	°	NOUN
ajst-27334	96	25	90	90	NUM
ajst-27334	96	26	°	°	NOUN
ajst-27334	96	27	108	108	NUM
ajst-27334	96	28	°	°	NOUN
ajst-27334	96	29	126	126	NUM
ajst-27334	96	30	°	°	NOUN
ajst-27334	96	31	144	144	NUM
ajst-27334	96	32	°	°	NOUN
ajst-27334	96	33	162	162	NUM
ajst-27334	96	34	°	°	NOUN
ajst-27334	96	35	180	180	NUM
ajst-27334	96	36	°	°	PROPN
ajst-27334	96	37	body	body	NOUN
ajst-27334	96	38	92.6	92.6	NUM
ajst-27334	96	39	88.9	88.9	NUM
ajst-27334	96	40	84.2	84.2	NUM
ajst-27334	96	41	78.1	78.1	NUM
ajst-27334	96	42	83.0	83.0	NUM
ajst-27334	96	43	85.7	85.7	NUM
ajst-27334	96	44	84.9	84.9	NUM
ajst-27334	96	45	84.0	84.0	NUM
ajst-27334	96	46	87.4	87.4	NUM
ajst-27334	96	47	90.2	90.2	NUM
ajst-27334	96	48	92.1	92.1	NUM
ajst-27334	96	49	arms	arm	NOUN
ajst-27334	96	50	80.3	80.3	NUM
ajst-27334	96	51	68.7	68.7	NUM
ajst-27334	96	52	59.4	59.4	NUM
ajst-27334	96	53	52.1	52.1	NUM
ajst-27334	96	54	55.1	55.1	NUM
ajst-27334	96	55	61.4	61.4	NUM
ajst-27334	96	56	60.0	60.0	NUM
ajst-27334	96	57	59.0	59.0	NUM
ajst-27334	96	58	62.3	62.3	NUM
ajst-27334	96	59	69.9	69.9	NUM
ajst-27334	96	60	77.5	77.5	NUM
ajst-27334	96	61	legs	leg	NOUN
ajst-27334	96	62	50.7	50.7	NUM
ajst-27334	96	63	44.0	44.0	NUM
ajst-27334	96	64	33.5	33.5	NUM
ajst-27334	96	65	34.0	34.0	NUM
ajst-27334	96	66	41.8	41.8	NUM
ajst-27334	96	67	47.9	47.9	NUM
ajst-27334	96	68	44.5	44.5	NUM
ajst-27334	96	69	39.4	39.4	NUM
ajst-27334	96	70	35.5	35.5	NUM
ajst-27334	96	71	36.0	36.0	NUM
ajst-27334	96	72	40.4	40.4	NUM
ajst-27334	96	73	fusion	fusion	NOUN
ajst-27334	96	74	92.9	92.9	NUM
ajst-27334	96	75	88.8	88.8	NUM
ajst-27334	96	76	85.3	85.3	NUM
ajst-27334	96	77	82.8	82.8	NUM
ajst-27334	96	78	87.3	87.3	NUM
ajst-27334	96	79	90.7	90.7	NUM
ajst-27334	96	80	89.3	89.3	NUM
ajst-27334	96	81	87.2	87.2	NUM
ajst-27334	96	82	89.3	89.3	NUM
ajst-27334	96	83	91.3	91.3	NUM
ajst-27334	96	84	93.1	93.1	NUM
ajst-27334	96	85	as	as	SCONJ
ajst-27334	96	86	shown	show	VERB
ajst-27334	96	87	in	in	ADP
ajst-27334	96	88	table	table	NOUN
ajst-27334	96	89	5	5	NUM
ajst-27334	96	90	,	,	PUNCT
ajst-27334	96	91	in	in	ADP
ajst-27334	96	92	the	the	DET
ajst-27334	96	93	backpack	backpack	NOUN
ajst-27334	96	94	condition	condition	NOUN
ajst-27334	96	95	,	,	PUNCT
ajst-27334	96	96	overall	overall	ADV
ajst-27334	96	97	,	,	PUNCT
ajst-27334	96	98	the	the	DET
ajst-27334	96	99	gait	gait	ADJ
ajst-27334	96	100	recognition	recognition	NOUN
ajst-27334	96	101	rate	rate	NOUN
ajst-27334	96	102	decreases	decrease	VERB
ajst-27334	96	103	due	due	ADP
ajst-27334	96	104	to	to	ADP
ajst-27334	96	105	the	the	DET
ajst-27334	96	106	influence	influence	NOUN
ajst-27334	96	107	of	of	ADP
ajst-27334	96	108	the	the	DET
ajst-27334	96	109	backpack	backpack	NOUN
ajst-27334	96	110	,	,	PUNCT
ajst-27334	96	111	but	but	CCONJ
ajst-27334	96	112	the	the	DET
ajst-27334	96	113	decrease	decrease	NOUN
ajst-27334	96	114	is	be	AUX
ajst-27334	96	115	small	small	ADJ
ajst-27334	96	116	.	.	PUNCT
ajst-27334	97	1	similar	similar	ADJ
ajst-27334	97	2	to	to	ADP
ajst-27334	97	3	the	the	DET
ajst-27334	97	4	normal	normal	ADJ
ajst-27334	97	5	walking	walking	NOUN
ajst-27334	97	6	condition	condition	NOUN
ajst-27334	97	7	,	,	PUNCT
ajst-27334	97	8	with	with	ADP
ajst-27334	97	9	the	the	DET
ajst-27334	97	10	assistance	assistance	NOUN
ajst-27334	97	11	of	of	ADP
ajst-27334	97	12	the	the	DET
ajst-27334	97	13	arm	arm	NOUN
ajst-27334	97	14	swing	swing	NOUN
ajst-27334	97	15	region	region	NOUN
ajst-27334	97	16	and	and	CCONJ
ajst-27334	97	17	the	the	DET
ajst-27334	97	18	leg	leg	NOUN
ajst-27334	97	19	swing	swing	NOUN
ajst-27334	97	20	region	region	NOUN
ajst-27334	97	21	,	,	PUNCT
ajst-27334	97	22	the	the	DET
ajst-27334	97	23	recognition	recognition	NOUN
ajst-27334	97	24	rate	rate	NOUN
ajst-27334	97	25	of	of	ADP
ajst-27334	97	26	the	the	DET
ajst-27334	97	27	features	feature	NOUN
ajst-27334	97	28	fused	fuse	VERB
ajst-27334	97	29	by	by	ADP
ajst-27334	97	30	the	the	DET
ajst-27334	97	31	three	three	NUM
ajst-27334	97	32	regions	region	NOUN
ajst-27334	97	33	is	be	AUX
ajst-27334	97	34	relatively	relatively	ADV
ajst-27334	97	35	high	high	ADJ
ajst-27334	97	36	;	;	PUNCT
ajst-27334	97	37	it	it	PRON
ajst-27334	97	38	can	can	AUX
ajst-27334	97	39	also	also	ADV
ajst-27334	97	40	be	be	AUX
ajst-27334	97	41	seen	see	VERB
ajst-27334	97	42	that	that	SCONJ
ajst-27334	97	43	the	the	DET
ajst-27334	97	44	arm	arm	NOUN
ajst-27334	97	45	swing	swing	NOUN
ajst-27334	97	46	region	region	NOUN
ajst-27334	97	47	and	and	CCONJ
ajst-27334	97	48	the	the	DET
ajst-27334	97	49	arm	arm	NOUN
ajst-27334	97	50	swing	swing	NOUN
ajst-27334	97	51	region	region	NOUN
ajst-27334	97	52	do	do	AUX
ajst-27334	97	53	not	not	PART
ajst-27334	97	54	have	have	VERB
ajst-27334	97	55	as	as	ADV
ajst-27334	97	56	high	high	ADJ
ajst-27334	97	57	a	a	DET
ajst-27334	97	58	recognition	recognition	NOUN
ajst-27334	97	59	rate	rate	NOUN
ajst-27334	97	60	as	as	ADP
ajst-27334	97	61	the	the	DET
ajst-27334	97	62	features	feature	NOUN
ajst-27334	97	63	proposed	propose	VERB
ajst-27334	97	64	by	by	ADP
ajst-27334	97	65	the	the	DET
ajst-27334	97	66	whole	whole	ADJ
ajst-27334	97	67	-	-	PUNCT
ajst-27334	97	68	body	body	NOUN
ajst-27334	97	69	region	region	NOUN
ajst-27334	97	70	due	due	ADP
ajst-27334	97	71	to	to	ADP
ajst-27334	97	72	the	the	DET
ajst-27334	97	73	one	one	NUM
ajst-27334	97	74	-	-	PUNCT
ajst-27334	97	75	sidedness	sidedness	NOUN
ajst-27334	97	76	of	of	ADP
ajst-27334	97	77	the	the	DET
ajst-27334	97	78	extracted	extract	VERB
ajst-27334	97	79	features	feature	NOUN
ajst-27334	97	80	.	.	PUNCT
ajst-27334	98	1	table	table	NOUN
ajst-27334	98	2	6	6	NUM
ajst-27334	98	3	.	.	PUNCT
ajst-27334	98	4	gait	gait	PROPN
ajst-27334	98	5	recognition	recognition	NOUN
ajst-27334	98	6	rate	rate	NOUN
ajst-27334	98	7	(	(	PUNCT
ajst-27334	98	8	%	%	INTJ
ajst-27334	98	9	)	)	PUNCT
ajst-27334	98	10	in	in	ADP
ajst-27334	98	11	coat	coat	NOUN
ajst-27334	98	12	-	-	PUNCT
ajst-27334	98	13	wearing	wear	VERB
ajst-27334	98	14	condition	condition	NOUN
ajst-27334	98	15	feature	feature	NOUN
ajst-27334	98	16	viewpoint	viewpoint	NOUN
ajst-27334	98	17	0	0	NUM
ajst-27334	98	18	°	°	NUM
ajst-27334	98	19	18	18	NUM
ajst-27334	98	20	°	°	NOUN
ajst-27334	98	21	36	36	NUM
ajst-27334	98	22	°	°	NOUN
ajst-27334	98	23	54	54	NUM
ajst-27334	98	24	°	°	NOUN
ajst-27334	98	25	72	72	NUM
ajst-27334	98	26	°	°	NOUN
ajst-27334	98	27	90	90	NUM
ajst-27334	98	28	°	°	NOUN
ajst-27334	98	29	108	108	NUM
ajst-27334	98	30	°	°	NOUN
ajst-27334	98	31	126	126	NUM
ajst-27334	98	32	°	°	NOUN
ajst-27334	98	33	144	144	NUM
ajst-27334	98	34	°	°	NOUN
ajst-27334	98	35	162	162	NUM
ajst-27334	98	36	°	°	NOUN
ajst-27334	98	37	180	180	NUM
ajst-27334	98	38	°	°	PROPN
ajst-27334	98	39	body	body	NOUN
ajst-27334	98	40	80.0	80.0	NUM
ajst-27334	98	41	75.6	75.6	NUM
ajst-27334	98	42	71.7	71.7	NUM
ajst-27334	98	43	67.7	67.7	NUM
ajst-27334	98	44	69.9	69.9	NUM
ajst-27334	98	45	72.4	72.4	NUM
ajst-27334	98	46	71.4	71.4	NUM
ajst-27334	98	47	72.0	72.0	NUM
ajst-27334	98	48	70.3	70.3	NUM
ajst-27334	98	49	74.9	74.9	NUM
ajst-27334	98	50	79.1	79.1	NUM
ajst-27334	98	51	arms	arm	NOUN
ajst-27334	98	52	77.5	77.5	NUM
ajst-27334	98	53	61.6	61.6	NUM
ajst-27334	98	54	48.1	48.1	NUM
ajst-27334	98	55	42.2	42.2	NUM
ajst-27334	98	56	37.4	37.4	NUM
ajst-27334	98	57	42.8	42.8	NUM
ajst-27334	98	58	41.7	41.7	NUM
ajst-27334	98	59	40.8	40.8	NUM
ajst-27334	98	60	46.2	46.2	NUM
ajst-27334	98	61	59.7	59.7	NUM
ajst-27334	98	62	73.4	73.4	NUM
ajst-27334	98	63	legs	leg	NOUN
ajst-27334	98	64	45.6	45.6	NUM
ajst-27334	98	65	37.6	37.6	NUM
ajst-27334	98	66	30.0	30.0	NUM
ajst-27334	98	67	32.0	32.0	NUM
ajst-27334	98	68	40.0	40.0	NUM
ajst-27334	98	69	47.8	47.8	NUM
ajst-27334	98	70	41.0	41.0	NUM
ajst-27334	98	71	35.8	35.8	NUM
ajst-27334	98	72	31.1	31.1	NUM
ajst-27334	98	73	30.7	30.7	NUM
ajst-27334	98	74	35.3	35.3	NUM
ajst-27334	98	75	fusion	fusion	NOUN
ajst-27334	98	76	82.2	82.2	NUM
ajst-27334	98	77	73.9	73.9	NUM
ajst-27334	98	78	68.6	68.6	NUM
ajst-27334	98	79	68.7	68.7	NUM
ajst-27334	98	80	72.1	72.1	NUM
ajst-27334	98	81	78.7	78.7	NUM
ajst-27334	98	82	76.3	76.3	NUM
ajst-27334	98	83	74.6	74.6	NUM
ajst-27334	98	84	71.5	71.5	NUM
ajst-27334	98	85	75.5	75.5	NUM
ajst-27334	98	86	81.6	81.6	NUM
ajst-27334	98	87	as	as	SCONJ
ajst-27334	98	88	shown	show	VERB
ajst-27334	98	89	in	in	ADP
ajst-27334	98	90	table	table	NOUN
ajst-27334	98	91	6	6	NUM
ajst-27334	98	92	,	,	PUNCT
ajst-27334	98	93	in	in	ADP
ajst-27334	98	94	the	the	DET
ajst-27334	98	95	condition	condition	NOUN
ajst-27334	98	96	of	of	ADP
ajst-27334	98	97	coat	coat	NOUN
ajst-27334	98	98	-	-	PUNCT
ajst-27334	98	99	wearing	wear	VERB
ajst-27334	98	100	,	,	PUNCT
ajst-27334	98	101	the	the	DET
ajst-27334	98	102	presence	presence	NOUN
ajst-27334	98	103	of	of	ADP
ajst-27334	98	104	the	the	DET
ajst-27334	98	105	coat	coat	NOUN
ajst-27334	98	106	makes	make	VERB
ajst-27334	98	107	the	the	DET
ajst-27334	98	108	recognition	recognition	NOUN
ajst-27334	98	109	rate	rate	NOUN
ajst-27334	98	110	decrease	decrease	NOUN
ajst-27334	98	111	float	float	VERB
ajst-27334	98	112	more	more	ADJ
ajst-27334	98	113	,	,	PUNCT
ajst-27334	98	114	at	at	ADP
ajst-27334	98	115	the	the	DET
ajst-27334	98	116	same	same	ADJ
ajst-27334	98	117	time	time	NOUN
ajst-27334	98	118	,	,	PUNCT
ajst-27334	98	119	there	there	PRON
ajst-27334	98	120	is	be	VERB
ajst-27334	98	121	a	a	DET
ajst-27334	98	122	situation	situation	NOUN
ajst-27334	98	123	that	that	SCONJ
ajst-27334	98	124	the	the	DET
ajst-27334	98	125	recognition	recognition	NOUN
ajst-27334	98	126	rate	rate	NOUN
ajst-27334	98	127	of	of	ADP
ajst-27334	98	128	the	the	DET
ajst-27334	98	129	fusion	fusion	NOUN
ajst-27334	98	130	features	feature	NOUN
ajst-27334	98	131	of	of	ADP
ajst-27334	98	132	the	the	DET
ajst-27334	98	133	two	two	NUM
ajst-27334	98	134	viewpoints	viewpoint	NOUN
ajst-27334	98	135	of	of	ADP
ajst-27334	98	136	18	18	NUM
ajst-27334	98	137	°	°	NUM
ajst-27334	98	138	and	and	CCONJ
ajst-27334	98	139	36	36	NUM
ajst-27334	98	140	°	°	NOUN
ajst-27334	98	141	is	be	AUX
ajst-27334	98	142	lower	low	ADJ
ajst-27334	98	143	than	than	ADP
ajst-27334	98	144	that	that	PRON
ajst-27334	98	145	of	of	ADP
ajst-27334	98	146	the	the	DET
ajst-27334	98	147	whole	whole	ADJ
ajst-27334	98	148	human	human	ADJ
ajst-27334	98	149	body	body	NOUN
ajst-27334	98	150	in	in	ADP
ajst-27334	98	151	the	the	DET
ajst-27334	98	152	whole	whole	ADJ
ajst-27334	98	153	body	body	NOUN
ajst-27334	98	154	,	,	PUNCT
ajst-27334	98	155	and	and	CCONJ
ajst-27334	98	156	the	the	DET
ajst-27334	98	157	reason	reason	NOUN
ajst-27334	98	158	for	for	ADP
ajst-27334	98	159	this	this	PRON
ajst-27334	98	160	is	be	AUX
ajst-27334	98	161	because	because	SCONJ
ajst-27334	98	162	in	in	ADP
ajst-27334	98	163	the	the	DET
ajst-27334	98	164	case	case	NOUN
ajst-27334	98	165	when	when	SCONJ
ajst-27334	98	166	the	the	DET
ajst-27334	98	167	recognition	recognition	NOUN
ajst-27334	98	168	rate	rate	NOUN
ajst-27334	98	169	of	of	ADP
ajst-27334	98	170	the	the	DET
ajst-27334	98	171	arm	arm	NOUN
ajst-27334	98	172	swinging	swinge	VERB
ajst-27334	98	173	region	region	NOUN
ajst-27334	98	174	and	and	CCONJ
ajst-27334	98	175	the	the	DET
ajst-27334	98	176	leg	leg	NOUN
ajst-27334	98	177	swinging	swinge	VERB
ajst-27334	98	178	region	region	NOUN
ajst-27334	98	179	is	be	AUX
ajst-27334	98	180	low	low	ADJ
ajst-27334	98	181	,	,	PUNCT
ajst-27334	98	182	it	it	PRON
ajst-27334	98	183	may	may	AUX
ajst-27334	98	184	play	play	VERB
ajst-27334	98	185	a	a	DET
ajst-27334	98	186	negative	negative	ADJ
ajst-27334	98	187	role	role	NOUN
ajst-27334	98	188	in	in	ADP
ajst-27334	98	189	the	the	DET
ajst-27334	98	190	recognition	recognition	NOUN
ajst-27334	98	191	of	of	ADP
ajst-27334	98	192	the	the	DET
ajst-27334	98	193	whole	whole	ADJ
ajst-27334	98	194	human	human	ADJ
ajst-27334	98	195	body	body	NOUN
ajst-27334	98	196	,	,	PUNCT
ajst-27334	98	197	but	but	CCONJ
ajst-27334	98	198	from	from	ADP
ajst-27334	98	199	the	the	DET
ajst-27334	98	200	data	datum	NOUN
ajst-27334	98	201	it	it	PRON
ajst-27334	98	202	can	can	AUX
ajst-27334	98	203	be	be	AUX
ajst-27334	98	204	it	it	PRON
ajst-27334	98	205	can	can	AUX
ajst-27334	98	206	be	be	AUX
ajst-27334	98	207	seen	see	VERB
ajst-27334	98	208	that	that	SCONJ
ajst-27334	98	209	even	even	ADV
ajst-27334	98	210	though	though	SCONJ
ajst-27334	98	211	the	the	DET
ajst-27334	98	212	recognition	recognition	NOUN
ajst-27334	98	213	rate	rate	NOUN
ajst-27334	98	214	of	of	ADP
ajst-27334	98	215	the	the	DET
ajst-27334	98	216	fused	fuse	VERB
ajst-27334	98	217	features	feature	NOUN
ajst-27334	98	218	has	have	AUX
ajst-27334	98	219	decreased	decrease	VERB
ajst-27334	98	220	compared	compare	VERB
ajst-27334	98	221	to	to	ADP
ajst-27334	98	222	the	the	DET
ajst-27334	98	223	recognition	recognition	NOUN
ajst-27334	98	224	rate	rate	NOUN
ajst-27334	98	225	of	of	ADP
ajst-27334	98	226	the	the	DET
ajst-27334	98	227	whole	whole	ADJ
ajst-27334	98	228	human	human	ADJ
ajst-27334	98	229	body	body	NOUN
ajst-27334	98	230	,	,	PUNCT
ajst-27334	98	231	the	the	DET
ajst-27334	98	232	decrease	decrease	NOUN
ajst-27334	98	233	is	be	AUX
ajst-27334	98	234	small	small	ADJ
ajst-27334	98	235	.	.	PUNCT
ajst-27334	99	1	moreover	moreover	ADV
ajst-27334	99	2	,	,	PUNCT
ajst-27334	99	3	according	accord	VERB
ajst-27334	99	4	to	to	ADP
ajst-27334	99	5	the	the	DET
ajst-27334	99	6	previous	previous	ADJ
ajst-27334	99	7	multi	multi	ADJ
ajst-27334	99	8	-	-	ADJ
ajst-27334	99	9	group	group	ADJ
ajst-27334	99	10	experiments	experiment	NOUN
ajst-27334	99	11	,	,	PUNCT
ajst-27334	99	12	it	it	PRON
ajst-27334	99	13	can	can	AUX
ajst-27334	99	14	be	be	AUX
ajst-27334	99	15	seen	see	VERB
ajst-27334	99	16	that	that	SCONJ
ajst-27334	99	17	the	the	DET
ajst-27334	99	18	average	average	ADJ
ajst-27334	99	19	addition	addition	NOUN
ajst-27334	99	20	and	and	CCONJ
ajst-27334	99	21	fusion	fusion	NOUN
ajst-27334	99	22	help	help	NOUN
ajst-27334	99	23	to	to	PART
ajst-27334	99	24	improve	improve	VERB
ajst-27334	99	25	the	the	DET
ajst-27334	99	26	recognition	recognition	NOUN
ajst-27334	99	27	rate	rate	NOUN
ajst-27334	99	28	,	,	PUNCT
ajst-27334	99	29	so	so	SCONJ
ajst-27334	99	30	the	the	DET
ajst-27334	99	31	case	case	NOUN
ajst-27334	99	32	of	of	ADP
ajst-27334	99	33	the	the	DET
ajst-27334	99	34	two	two	NUM
ajst-27334	99	35	viewpoints	viewpoint	NOUN
ajst-27334	99	36	at	at	ADP
ajst-27334	99	37	18	18	NUM
ajst-27334	99	38	°	°	NUM
ajst-27334	99	39	and	and	CCONJ
ajst-27334	99	40	36	36	NUM
ajst-27334	99	41	°	°	NOUN
ajst-27334	99	42	does	do	AUX
ajst-27334	99	43	not	not	PART
ajst-27334	99	44	affect	affect	VERB
ajst-27334	99	45	the	the	DET
ajst-27334	99	46	overall	overall	ADJ
ajst-27334	99	47	conduct	conduct	NOUN
ajst-27334	99	48	of	of	ADP
ajst-27334	99	49	the	the	DET
ajst-27334	99	50	experiment	experiment	NOUN
ajst-27334	99	51	.	.	PUNCT
ajst-27334	100	1	4	4	X
ajst-27334	100	2	.	.	X
ajst-27334	100	3	conclusions	conclusion	NOUN
ajst-27334	100	4	in	in	ADP
ajst-27334	100	5	this	this	DET
ajst-27334	100	6	paper	paper	NOUN
ajst-27334	100	7	,	,	PUNCT
ajst-27334	100	8	a	a	DET
ajst-27334	100	9	gait	gait	ADJ
ajst-27334	100	10	recognition	recognition	NOUN
ajst-27334	100	11	method	method	NOUN
ajst-27334	100	12	based	base	VERB
ajst-27334	100	13	on	on	ADP
ajst-27334	100	14	deep	deep	ADJ
ajst-27334	100	15	network	network	NOUN
ajst-27334	100	16	transfer	transfer	NOUN
ajst-27334	100	17	features	feature	NOUN
ajst-27334	100	18	is	be	AUX
ajst-27334	100	19	proposed	propose	VERB
ajst-27334	100	20	.	.	PUNCT
ajst-27334	101	1	firstly	firstly	ADV
ajst-27334	101	2	,	,	PUNCT
ajst-27334	101	3	a	a	DET
ajst-27334	101	4	human	human	ADJ
ajst-27334	101	5	body	body	NOUN
ajst-27334	101	6	region	region	NOUN
ajst-27334	101	7	division	division	NOUN
ajst-27334	101	8	method	method	NOUN
ajst-27334	101	9	is	be	AUX
ajst-27334	101	10	proposed	propose	VERB
ajst-27334	101	11	,	,	PUNCT
ajst-27334	101	12	which	which	PRON
ajst-27334	101	13	focuses	focus	VERB
ajst-27334	101	14	on	on	ADP
ajst-27334	101	15	the	the	DET
ajst-27334	101	16	dynamic	dynamic	ADJ
ajst-27334	101	17	region	region	NOUN
ajst-27334	101	18	of	of	ADP
ajst-27334	101	19	pedestrian	pedestrian	PROPN
ajst-27334	101	20	gait	gait	PROPN
ajst-27334	101	21	,	,	PUNCT
ajst-27334	101	22	the	the	DET
ajst-27334	101	23	arm	arm	NOUN
ajst-27334	101	24	region	region	NOUN
ajst-27334	101	25	and	and	CCONJ
ajst-27334	101	26	the	the	DET
ajst-27334	101	27	leg	leg	NOUN
ajst-27334	101	28	region	region	NOUN
ajst-27334	101	29	;	;	PUNCT
ajst-27334	101	30	secondly	secondly	ADV
ajst-27334	101	31	,	,	PUNCT
ajst-27334	101	32	the	the	DET
ajst-27334	101	33	densenet201	densenet201	PROPN
ajst-27334	101	34	transfer	transfer	NOUN
ajst-27334	101	35	learning	learning	NOUN
ajst-27334	101	36	network	network	NOUN
ajst-27334	101	37	,	,	PUNCT
ajst-27334	101	38	which	which	PRON
ajst-27334	101	39	has	have	AUX
ajst-27334	101	40	been	be	AUX
ajst-27334	101	41	pre	pre	VERB
ajst-27334	101	42	-	-	VERB
ajst-27334	101	43	trained	train	VERB
ajst-27334	101	44	by	by	ADP
ajst-27334	101	45	the	the	DET
ajst-27334	101	46	imagenet	imagenet	NOUN
ajst-27334	101	47	dataset	dataset	NOUN
ajst-27334	101	48	,	,	PUNCT
ajst-27334	101	49	is	be	AUX
ajst-27334	101	50	introduced	introduce	VERB
ajst-27334	101	51	to	to	PART
ajst-27334	101	52	extract	extract	VERB
ajst-27334	101	53	more	more	ADJ
ajst-27334	101	54	discriminative	discriminative	NOUN
ajst-27334	101	55	human	human	ADJ
ajst-27334	101	56	identity	identity	NOUN
ajst-27334	101	57	characterization	characterization	NOUN
ajst-27334	101	58	features	feature	VERB
ajst-27334	101	59	;	;	PUNCT
ajst-27334	101	60	and	and	CCONJ
ajst-27334	101	61	lastly	lastly	ADV
ajst-27334	101	62	,	,	PUNCT
ajst-27334	101	63	the	the	DET
ajst-27334	101	64	casia	casia	NOUN
ajst-27334	101	65	-	-	PUNCT
ajst-27334	101	66	b	b	NOUN
ajst-27334	101	67	dataset	dataset	NOUN
ajst-27334	101	68	collected	collect	VERB
ajst-27334	101	69	by	by	ADP
ajst-27334	101	70	the	the	DET
ajst-27334	101	71	institute	institute	PROPN
ajst-27334	101	72	of	of	ADP
ajst-27334	101	73	automation	automation	NOUN
ajst-27334	101	74	of	of	ADP
ajst-27334	101	75	the	the	DET
ajst-27334	101	76	chinese	chinese	PROPN
ajst-27334	101	77	academy	academy	PROPN
ajst-27334	101	78	of	of	ADP
ajst-27334	101	79	sciences	sciences	PROPN
ajst-27334	101	80	(	(	PUNCT
ajst-27334	101	81	ias	ias	PROPN
ajst-27334	101	82	)	)	PUNCT
ajst-27334	101	83	is	be	AUX
ajst-27334	101	84	used	use	VERB
ajst-27334	101	85	for	for	ADP
ajst-27334	101	86	the	the	DET
ajst-27334	101	87	validation	validation	NOUN
ajst-27334	101	88	,	,	PUNCT
ajst-27334	101	89	the	the	DET
ajst-27334	101	90	experimental	experimental	ADJ
ajst-27334	101	91	results	result	NOUN
ajst-27334	101	92	show	show	VERB
ajst-27334	101	93	that	that	SCONJ
ajst-27334	101	94	the	the	DET
ajst-27334	101	95	algorithm	algorithm	NOUN
ajst-27334	101	96	proposed	propose	VERB
ajst-27334	101	97	in	in	ADP
ajst-27334	101	98	this	this	DET
ajst-27334	101	99	study	study	NOUN
ajst-27334	101	100	has	have	VERB
ajst-27334	101	101	a	a	DET
ajst-27334	101	102	wide	wide	ADJ
ajst-27334	101	103	range	range	NOUN
ajst-27334	101	104	of	of	ADP
ajst-27334	101	105	applications	application	NOUN
ajst-27334	101	106	in	in	ADP
ajst-27334	101	107	human	human	ADJ
ajst-27334	101	108	gait	gait	PROPN
ajst-27334	101	109	recognition	recognition	NOUN
ajst-27334	101	110	.	.	PUNCT
ajst-27334	102	1	in	in	ADP
ajst-27334	102	2	the	the	DET
ajst-27334	102	3	next	next	ADJ
ajst-27334	102	4	step	step	NOUN
ajst-27334	102	5	,	,	PUNCT
ajst-27334	102	6	we	we	PRON
ajst-27334	102	7	will	will	AUX
ajst-27334	102	8	develop	develop	VERB
ajst-27334	102	9	a	a	DET
ajst-27334	102	10	real	real	ADJ
ajst-27334	102	11	-	-	PUNCT
ajst-27334	102	12	time	time	NOUN
ajst-27334	102	13	human	human	PROPN
ajst-27334	102	14	gait	gait	NOUN
ajst-27334	102	15	recognition	recognition	NOUN
ajst-27334	102	16	system	system	NOUN
ajst-27334	102	17	and	and	CCONJ
ajst-27334	102	18	apply	apply	VERB
ajst-27334	102	19	the	the	DET
ajst-27334	102	20	algorithm	algorithm	NOUN
ajst-27334	102	21	in	in	ADP
ajst-27334	102	22	practical	practical	ADJ
ajst-27334	102	23	applications	application	NOUN
ajst-27334	102	24	.	.	PUNCT
ajst-27334	103	1	of	of	ADP
ajst-27334	103	2	course	course	NOUN
ajst-27334	103	3	,	,	PUNCT
ajst-27334	103	4	there	there	PRON
ajst-27334	103	5	are	be	VERB
ajst-27334	103	6	still	still	ADV
ajst-27334	103	7	some	some	DET
ajst-27334	103	8	constraints	constraint	NOUN
ajst-27334	103	9	in	in	ADP
ajst-27334	103	10	human	human	ADJ
ajst-27334	103	11	gait	gait	PROPN
ajst-27334	103	12	recognition	recognition	NOUN
ajst-27334	103	13	,	,	PUNCT
ajst-27334	103	14	such	such	ADJ
ajst-27334	103	15	as	as	ADP
ajst-27334	103	16	mutual	mutual	ADJ
ajst-27334	103	17	occlusion	occlusion	NOUN
ajst-27334	103	18	of	of	ADP
ajst-27334	103	19	human	human	ADJ
ajst-27334	103	20	bodies	body	NOUN
ajst-27334	103	21	and	and	CCONJ
ajst-27334	103	22	perspective	perspective	ADJ
ajst-27334	103	23	transformation	transformation	NOUN
ajst-27334	103	24	.	.	PUNCT
ajst-27334	104	1	these	these	DET
ajst-27334	104	2	constraints	constraint	NOUN
ajst-27334	104	3	should	should	AUX
ajst-27334	104	4	be	be	AUX
ajst-27334	104	5	solved	solve	VERB
ajst-27334	104	6	in	in	ADP
ajst-27334	104	7	the	the	DET
ajst-27334	104	8	subsequent	subsequent	ADJ
ajst-27334	104	9	research	research	NOUN
ajst-27334	104	10	.	.	PUNCT
ajst-27334	105	1	acknowledgements	acknowledgement	NOUN
ajst-27334	105	2	the	the	DET
ajst-27334	105	3	authors	author	NOUN
ajst-27334	105	4	gratefully	gratefully	ADV
ajst-27334	105	5	acknowledge	acknowledge	VERB
ajst-27334	105	6	the	the	DET
ajst-27334	105	7	financial	financial	ADJ
ajst-27334	105	8	support	support	NOUN
ajst-27334	105	9	from	from	ADP
ajst-27334	105	10	huzhou	huzhou	PROPN
ajst-27334	105	11	vocational	vocational	ADJ
ajst-27334	105	12	and	and	CCONJ
ajst-27334	105	13	technical	technical	ADJ
ajst-27334	105	14	college	college	NOUN
ajst-27334	105	15	school	school	NOUN
ajst-27334	105	16	-	-	PUNCT
ajst-27334	105	17	level	level	NOUN
ajst-27334	105	18	planning	planning	NOUN
ajst-27334	105	19	subject(2024yb13	subject(2024yb13	NOUN
ajst-27334	105	20	)	)	PUNCT
ajst-27334	105	21	fund	fund	NOUN
ajst-27334	105	22	.	.	PUNCT
ajst-27334	106	1	145	145	NUM
ajst-27334	106	2	references	reference	NOUN
ajst-27334	106	3	[	[	X
ajst-27334	106	4	1	1	NUM
ajst-27334	106	5	]	]	PUNCT
ajst-27334	106	6	connor	connor	NOUN
ajst-27334	106	7	p	p	PROPN
ajst-27334	106	8	,	,	PUNCT
ajst-27334	106	9	ross	ross	PROPN
ajst-27334	106	10	a.	a.	PROPN
ajst-27334	106	11	biometric	biometric	PROPN
ajst-27334	106	12	recognition	recognition	NOUN
ajst-27334	106	13	by	by	ADP
ajst-27334	106	14	gait	gait	PROPN
ajst-27334	106	15	:	:	PUNCT
ajst-27334	106	16	a	a	DET
ajst-27334	106	17	survey	survey	NOUN
ajst-27334	106	18	of	of	ADP
ajst-27334	106	19	modalities	modality	NOUN
ajst-27334	106	20	and	and	CCONJ
ajst-27334	106	21	features[j	features[j	NOUN
ajst-27334	106	22	]	]	PUNCT
ajst-27334	106	23	.	.	PUNCT
ajst-27334	107	1	computer	computer	NOUN
ajst-27334	107	2	vision	vision	NOUN
ajst-27334	107	3	and	and	CCONJ
ajst-27334	107	4	image	image	NOUN
ajst-27334	107	5	understanding	understanding	NOUN
ajst-27334	107	6	,	,	PUNCT
ajst-27334	107	7	2018	2018	NUM
ajst-27334	107	8	,	,	PUNCT
ajst-27334	107	9	167(feb	167(feb	NUM
ajst-27334	107	10	.	.	PUNCT
ajst-27334	107	11	):	):	PUNCT
ajst-27334	107	12	1	1	NUM
ajst-27334	107	13	-	-	SYM
ajst-27334	107	14	27	27	NUM
ajst-27334	107	15	.	.	PUNCT
ajst-27334	108	1	[	[	X
ajst-27334	108	2	2	2	NUM
ajst-27334	108	3	]	]	SYM
ajst-27334	108	4	hu	hu	PROPN
ajst-27334	108	5	m	m	PROPN
ajst-27334	108	6	,	,	PUNCT
ajst-27334	108	7	wang	wang	PROPN
ajst-27334	108	8	y	y	PROPN
ajst-27334	108	9	,	,	PUNCT
ajst-27334	108	10	zhang	zhang	PROPN
ajst-27334	108	11	z	z	PROPN
ajst-27334	108	12	,	,	PUNCT
ajst-27334	108	13	et	et	PROPN
ajst-27334	108	14	al	al	PROPN
ajst-27334	108	15	.	.	PUNCT
ajst-27334	109	1	incremental	incremental	ADJ
ajst-27334	109	2	learning	learning	NOUN
ajst-27334	109	3	for	for	ADP
ajst-27334	109	4	videobased	videobased	ADJ
ajst-27334	109	5	gait	gait	NOUN
ajst-27334	109	6	recognition	recognition	NOUN
ajst-27334	109	7	with	with	ADP
ajst-27334	109	8	lbp	lbp	PROPN
ajst-27334	109	9	flow[j	flow[j	PROPN
ajst-27334	109	10	]	]	PUNCT
ajst-27334	109	11	.	.	PUNCT
ajst-27334	110	1	ieee	ieee	NOUN
ajst-27334	110	2	transactions	transaction	NOUN
ajst-27334	110	3	on	on	ADP
ajst-27334	110	4	cybernetics	cybernetic	NOUN
ajst-27334	110	5	,	,	PUNCT
ajst-27334	110	6	2012	2012	NUM
ajst-27334	110	7	,	,	PUNCT
ajst-27334	110	8	43(1	43(1	NUM
ajst-27334	110	9	):	):	PUNCT
ajst-27334	110	10	77	77	NUM
ajst-27334	110	11	-	-	SYM
ajst-27334	110	12	89	89	NUM
ajst-27334	110	13	.	.	PUNCT
ajst-27334	111	1	[	[	X
ajst-27334	111	2	3	3	X
ajst-27334	111	3	]	]	X
ajst-27334	111	4	zeng	zeng	PROPN
ajst-27334	111	5	w	w	PROPN
ajst-27334	111	6	,	,	PUNCT
ajst-27334	111	7	wang	wang	PROPN
ajst-27334	111	8	c	c	PROPN
ajst-27334	111	9	,	,	PUNCT
ajst-27334	111	10	yang	yang	PROPN
ajst-27334	111	11	f.	f.	PROPN
ajst-27334	111	12	silhouette	silhouette	PROPN
ajst-27334	111	13	-	-	PUNCT
ajst-27334	111	14	based	base	VERB
ajst-27334	111	15	gait	gait	ADJ
ajst-27334	111	16	recognition	recognition	NOUN
ajst-27334	111	17	via	via	ADP
ajst-27334	111	18	deterministic	deterministic	ADJ
ajst-27334	111	19	learning[j	learning[j	NOUN
ajst-27334	111	20	]	]	PUNCT
ajst-27334	111	21	.	.	PUNCT
ajst-27334	112	1	pattern	pattern	NOUN
ajst-27334	112	2	recognition	recognition	PROPN
ajst-27334	112	3	,	,	PUNCT
ajst-27334	112	4	2014	2014	NUM
ajst-27334	112	5	,	,	PUNCT
ajst-27334	112	6	47(11	47(11	NUM
ajst-27334	112	7	):	):	PUNCT
ajst-27334	112	8	3568	3568	NUM
ajst-27334	112	9	-	-	SYM
ajst-27334	112	10	3584	3584	NUM
ajst-27334	112	11	.	.	PUNCT
ajst-27334	113	1	[	[	X
ajst-27334	113	2	4	4	X
ajst-27334	113	3	]	]	X
ajst-27334	113	4	chao	chao	PROPN
ajst-27334	113	5	h	h	PROPN
ajst-27334	113	6	,	,	PUNCT
ajst-27334	113	7	he	he	PRON
ajst-27334	113	8	y	y	PROPN
ajst-27334	113	9	,	,	PUNCT
ajst-27334	113	10	zhang	zhang	PROPN
ajst-27334	113	11	j	j	PROPN
ajst-27334	113	12	,	,	PUNCT
ajst-27334	113	13	et	et	PROPN
ajst-27334	113	14	al	al	PROPN
ajst-27334	113	15	.	.	PROPN
ajst-27334	113	16	gaitset	gaitset	PROPN
ajst-27334	113	17	:	:	PUNCT
ajst-27334	113	18	regarding	regard	VERB
ajst-27334	113	19	gait	gait	NOUN
ajst-27334	113	20	as	as	ADP
ajst-27334	113	21	a	a	DET
ajst-27334	113	22	set	set	NOUN
ajst-27334	113	23	for	for	ADP
ajst-27334	113	24	cross	cross	ADJ
ajst-27334	113	25	-	-	ADJ
ajst-27334	113	26	view	view	ADJ
ajst-27334	113	27	gait	gait	NOUN
ajst-27334	113	28	recognition[c	recognition[c	PROPN
ajst-27334	113	29	]	]	PUNCT
ajst-27334	113	30	.	.	PUNCT
ajst-27334	114	1	proceedings	proceeding	NOUN
ajst-27334	114	2	of	of	ADP
ajst-27334	114	3	the	the	DET
ajst-27334	114	4	aaai	aaai	PROPN
ajst-27334	114	5	conference	conference	NOUN
ajst-27334	114	6	on	on	ADP
ajst-27334	114	7	artificial	artificial	ADJ
ajst-27334	114	8	intelligence	intelligence	NOUN
ajst-27334	114	9	.	.	PUNCT
ajst-27334	115	1	2019	2019	NUM
ajst-27334	115	2	,	,	PUNCT
ajst-27334	115	3	33(01	33(01	NUM
ajst-27334	115	4	):	):	PUNCT
ajst-27334	115	5	8126	8126	NUM
ajst-27334	115	6	-	-	SYM
ajst-27334	115	7	8133	8133	NUM
ajst-27334	115	8	.	.	PUNCT
ajst-27334	116	1	[	[	X
ajst-27334	116	2	5	5	NUM
ajst-27334	116	3	]	]	PUNCT
ajst-27334	116	4	aptoula	aptoula	VERB
ajst-27334	116	5	e	e	NOUN
ajst-27334	116	6	,	,	PUNCT
ajst-27334	116	7	ozdemir	ozdemir	PROPN
ajst-27334	116	8	m	m	PROPN
ajst-27334	116	9	c	c	NOUN
ajst-27334	116	10	,	,	PUNCT
ajst-27334	116	11	yanikoglu	yanikoglu	PROPN
ajst-27334	116	12	b.	b.	PROPN
ajst-27334	116	13	deep	deep	ADJ
ajst-27334	116	14	learning	learn	VERB
ajst-27334	116	15	with	with	ADP
ajst-27334	116	16	attribute	attribute	NOUN
ajst-27334	116	17	profiles	profile	NOUN
ajst-27334	116	18	for	for	ADP
ajst-27334	116	19	hyperspectral	hyperspectral	ADJ
ajst-27334	116	20	image	image	NOUN
ajst-27334	116	21	classification[j	classification[j	NOUN
ajst-27334	116	22	]	]	PUNCT
ajst-27334	116	23	.	.	PUNCT
ajst-27334	117	1	ieee	ieee	PROPN
ajst-27334	117	2	geoscience	geoscience	PROPN
ajst-27334	117	3	and	and	CCONJ
ajst-27334	117	4	remote	remote	ADJ
ajst-27334	117	5	sensing	sense	VERB
ajst-27334	117	6	letters	letter	NOUN
ajst-27334	117	7	,	,	PUNCT
ajst-27334	117	8	2016	2016	NUM
ajst-27334	117	9	,	,	PUNCT
ajst-27334	117	10	13(12	13(12	NUM
ajst-27334	117	11	):	):	PUNCT
ajst-27334	117	12	1970	1970	NUM
ajst-27334	117	13	-	-	SYM
ajst-27334	117	14	1974	1974	NUM
ajst-27334	117	15	.	.	PUNCT
ajst-27334	118	1	[	[	X
ajst-27334	118	2	6	6	NUM
ajst-27334	118	3	]	]	X
ajst-27334	118	4	li	li	PROPN
ajst-27334	118	5	c	c	PROPN
ajst-27334	118	6	,	,	PUNCT
ajst-27334	118	7	min	min	PROPN
ajst-27334	118	8	x	x	PROPN
ajst-27334	118	9	,	,	PUNCT
ajst-27334	118	10	sun	sun	PROPN
ajst-27334	118	11	s	s	PART
ajst-27334	118	12	,	,	PUNCT
ajst-27334	118	13	et	et	PROPN
ajst-27334	118	14	al	al	PROPN
ajst-27334	118	15	.	.	PROPN
ajst-27334	119	1	deepgait	deepgait	PROPN
ajst-27334	119	2	:	:	PUNCT
ajst-27334	119	3	a	a	DET
ajst-27334	119	4	learning	learn	VERB
ajst-27334	119	5	deep	deep	ADJ
ajst-27334	119	6	convolutional	convolutional	ADJ
ajst-27334	119	7	representation	representation	NOUN
ajst-27334	119	8	for	for	ADP
ajst-27334	119	9	view	view	NOUN
ajst-27334	119	10	-	-	PUNCT
ajst-27334	119	11	invariant	invariant	ADJ
ajst-27334	119	12	gait	gait	NOUN
ajst-27334	119	13	recognition	recognition	NOUN
ajst-27334	119	14	using	use	VERB
ajst-27334	119	15	joint	joint	PROPN
ajst-27334	119	16	bayesian[j	bayesian[j	PROPN
ajst-27334	119	17	]	]	PUNCT
ajst-27334	119	18	.	.	PUNCT
ajst-27334	120	1	applied	apply	VERB
ajst-27334	120	2	sciences	science	NOUN
ajst-27334	120	3	,	,	PUNCT
ajst-27334	120	4	2017	2017	NUM
ajst-27334	120	5	,	,	PUNCT
ajst-27334	120	6	210(7	210(7	NUM
ajst-27334	120	7	):	):	PUNCT
ajst-27334	120	8	1	1	NUM
ajst-27334	120	9	-	-	SYM
ajst-27334	120	10	15	15	NUM
ajst-27334	120	11	.	.	PUNCT
ajst-27334	121	1	[	[	X
ajst-27334	121	2	7	7	X
ajst-27334	121	3	]	]	SYM
ajst-27334	121	4	simonyan	simonyan	ADJ
ajst-27334	121	5	k	k	NOUN
ajst-27334	121	6	,	,	PUNCT
ajst-27334	121	7	zisserman	zisserman	NOUN
ajst-27334	121	8	a.	a.	NOUN
ajst-27334	121	9	very	very	ADV
ajst-27334	121	10	deep	deep	ADJ
ajst-27334	121	11	convolutional	convolutional	ADJ
ajst-27334	121	12	networks	network	NOUN
ajst-27334	121	13	for	for	ADP
ajst-27334	121	14	large	large	ADJ
ajst-27334	121	15	-	-	PUNCT
ajst-27334	121	16	scale	scale	NOUN
ajst-27334	121	17	image	image	NOUN
ajst-27334	121	18	recognition	recognition	NOUN
ajst-27334	122	1	[	[	X
ajst-27334	122	2	j	j	X
ajst-27334	122	3	]	]	X
ajst-27334	122	4	.	.	PUNCT
ajst-27334	123	1	arxiv	arxiv	PROPN
ajst-27334	123	2	preprint	preprint	PROPN
ajst-27334	123	3	arxiv	arxiv	PROPN
ajst-27334	123	4	:	:	PUNCT
ajst-27334	123	5	1409.1556	1409.1556	NUM
ajst-27334	123	6	,	,	PUNCT
ajst-27334	123	7	2014	2014	NUM
ajst-27334	123	8	.	.	PUNCT
ajst-27334	124	1	[	[	X
ajst-27334	124	2	8	8	NUM
ajst-27334	124	3	]	]	X
ajst-27334	124	4	yu	yu	PROPN
ajst-27334	124	5	s	s	PROPN
ajst-27334	124	6	,	,	PUNCT
ajst-27334	124	7	chen	chen	PROPN
ajst-27334	124	8	h	h	PROPN
ajst-27334	124	9	,	,	PUNCT
ajst-27334	124	10	wang	wang	PROPN
ajst-27334	124	11	q	q	PROPN
ajst-27334	124	12	,	,	PUNCT
ajst-27334	124	13	et	et	PROPN
ajst-27334	124	14	al	al	PROPN
ajst-27334	124	15	.	.	PROPN
ajst-27334	124	16	invariant	invariant	ADJ
ajst-27334	124	17	feature	feature	NOUN
ajst-27334	124	18	extraction	extraction	NOUN
ajst-27334	124	19	for	for	ADP
ajst-27334	124	20	gait	gait	ADJ
ajst-27334	124	21	recognition	recognition	NOUN
ajst-27334	124	22	using	use	VERB
ajst-27334	124	23	only	only	ADV
ajst-27334	124	24	one	one	NUM
ajst-27334	124	25	uniform	uniform	NOUN
ajst-27334	124	26	model[j	model[j	PROPN
ajst-27334	124	27	]	]	X
ajst-27334	124	28	.	.	PUNCT
ajst-27334	125	1	neurocomputing	neurocomputing	NOUN
ajst-27334	125	2	,	,	PUNCT
ajst-27334	125	3	2017	2017	NUM
ajst-27334	125	4	,	,	PUNCT
ajst-27334	125	5	239	239	NUM
ajst-27334	125	6	:	:	SYM
ajst-27334	125	7	81	81	NUM
ajst-27334	125	8	-	-	SYM
ajst-27334	125	9	93	93	NUM
ajst-27334	125	10	.	.	PUNCT
ajst-27334	126	1	[	[	X
ajst-27334	126	2	9	9	NUM
ajst-27334	126	3	]	]	SYM
ajst-27334	126	4	yujie	yujie	NOUN
ajst-27334	127	1	z	z	NOUN
ajst-27334	127	2	,	,	PUNCT
ajst-27334	127	3	lecai	lecai	PROPN
ajst-27334	127	4	c	c	NOUN
ajst-27334	127	5	,	,	PUNCT
ajst-27334	127	6	wu	wu	PROPN
ajst-27334	127	7	z	z	PROPN
ajst-27334	127	8	,	,	PUNCT
ajst-27334	127	9	et	et	PROPN
ajst-27334	127	10	al	al	PROPN
ajst-27334	127	11	.	.	PROPN
ajst-27334	127	12	research	research	NOUN
ajst-27334	127	13	on	on	ADP
ajst-27334	127	14	gait	gait	ADJ
ajst-27334	127	15	recognition	recognition	NOUN
ajst-27334	127	16	algorithm	algorithm	NOUN
ajst-27334	127	17	based	base	VERB
ajst-27334	127	18	on	on	ADP
ajst-27334	127	19	deep	deep	ADJ
ajst-27334	127	20	learning[c]//2021	learning[c]//2021	PROPN
ajst-27334	127	21	international	international	ADJ
ajst-27334	127	22	conference	conference	NOUN
ajst-27334	127	23	on	on	ADP
ajst-27334	127	24	computer	computer	NOUN
ajst-27334	127	25	engineering	engineering	NOUN
ajst-27334	127	26	and	and	CCONJ
ajst-27334	127	27	artificial	artificial	ADJ
ajst-27334	127	28	intelligence	intelligence	NOUN
ajst-27334	127	29	(	(	PUNCT
ajst-27334	127	30	icceai	icceai	PROPN
ajst-27334	127	31	)	)	PUNCT
ajst-27334	127	32	.	.	PUNCT
ajst-27334	128	1	ieee	ieee	NOUN
ajst-27334	128	2	,	,	PUNCT
ajst-27334	128	3	2021	2021	NUM
ajst-27334	128	4	:	:	PUNCT
ajst-27334	128	5	405	405	NUM
ajst-27334	128	6	-	-	SYM
ajst-27334	128	7	409	409	NUM
ajst-27334	128	8	.	.	PUNCT
ajst-27334	129	1	[	[	X
ajst-27334	129	2	10	10	NUM
ajst-27334	129	3	]	]	X
ajst-27334	129	4	gul	gul	PROPN
ajst-27334	129	5	s	s	PROPN
ajst-27334	129	6	,	,	PUNCT
ajst-27334	129	7	malik	malik	PROPN
ajst-27334	129	8	m	m	VERB
ajst-27334	129	9	i	i	PROPN
ajst-27334	129	10	,	,	PUNCT
ajst-27334	129	11	khan	khan	PROPN
ajst-27334	129	12	g	g	PROPN
ajst-27334	129	13	m	m	PROPN
ajst-27334	129	14	,	,	PUNCT
ajst-27334	129	15	et	et	PROPN
ajst-27334	129	16	al	al	PROPN
ajst-27334	129	17	.	.	PUNCT
ajst-27334	129	18	multi	multi	ADJ
ajst-27334	129	19	-	-	ADJ
ajst-27334	129	20	view	view	ADJ
ajst-27334	129	21	gait	gait	NOUN
ajst-27334	129	22	recognition	recognition	NOUN
ajst-27334	129	23	system	system	NOUN
ajst-27334	129	24	using	use	VERB
ajst-27334	129	25	spatio	spatio	PROPN
ajst-27334	129	26	-	-	PUNCT
ajst-27334	129	27	temporal	temporal	ADJ
ajst-27334	129	28	features	feature	NOUN
ajst-27334	129	29	and	and	CCONJ
ajst-27334	129	30	deep	deep	ADJ
ajst-27334	129	31	learning[j	learning[j	NOUN
ajst-27334	129	32	]	]	PUNCT
ajst-27334	129	33	.	.	PUNCT
ajst-27334	130	1	expert	expert	NOUN
ajst-27334	130	2	systems	system	NOUN
ajst-27334	130	3	with	with	ADP
ajst-27334	130	4	applications	application	NOUN
ajst-27334	130	5	,	,	PUNCT
ajst-27334	130	6	2021	2021	NUM
ajst-27334	130	7	,	,	PUNCT
ajst-27334	130	8	179	179	NUM
ajst-27334	130	9	:	:	SYM
ajst-27334	130	10	115057	115057	NUM
ajst-27334	130	11	.	.	PUNCT
ajst-27334	131	1	[	[	X
ajst-27334	131	2	11	11	NUM
ajst-27334	131	3	]	]	X
ajst-27334	131	4	mehmood	mehmood	PROPN
ajst-27334	131	5	a	a	PROPN
ajst-27334	131	6	,	,	PUNCT
ajst-27334	131	7	tariq	tariq	PROPN
ajst-27334	131	8	u	u	PROPN
ajst-27334	131	9	,	,	PUNCT
ajst-27334	131	10	jeong	jeong	PROPN
ajst-27334	131	11	c	c	PROPN
ajst-27334	131	12	w	w	PROPN
ajst-27334	131	13	,	,	PUNCT
ajst-27334	131	14	et	et	PROPN
ajst-27334	131	15	al	al	PROPN
ajst-27334	131	16	.	.	PUNCT
ajst-27334	132	1	human	human	PROPN
ajst-27334	132	2	gait	gait	PROPN
ajst-27334	132	3	recognition	recognition	PROPN
ajst-27334	132	4	:	:	PUNCT
ajst-27334	132	5	a	a	DET
ajst-27334	132	6	deep	deep	ADJ
ajst-27334	132	7	learning	learning	NOUN
ajst-27334	132	8	and	and	CCONJ
ajst-27334	132	9	best	good	ADJ
ajst-27334	132	10	feature	feature	NOUN
ajst-27334	132	11	selection	selection	NOUN
ajst-27334	132	12	framework[j	framework[j	PROPN
ajst-27334	132	13	]	]	PUNCT
ajst-27334	132	14	.	.	PUNCT
ajst-27334	133	1	comput	comput	NOUN
ajst-27334	133	2	.	.	PUNCT
ajst-27334	134	1	mater	mater	NOUN
ajst-27334	134	2	.	.	PUNCT
ajst-27334	135	1	cont	cont	PROPN
ajst-27334	135	2	,	,	PUNCT
ajst-27334	135	3	2022	2022	NUM
ajst-27334	135	4	,	,	PUNCT
ajst-27334	135	5	70	70	NUM
ajst-27334	135	6	:	:	PUNCT
ajst-27334	135	7	343	343	NUM
ajst-27334	135	8	-	-	SYM
ajst-27334	135	9	360	360	NUM
ajst-27334	135	10	.	.	PUNCT
ajst-27334	136	1	[	[	X
ajst-27334	136	2	12	12	NUM
ajst-27334	136	3	]	]	X
ajst-27334	136	4	das	das	PROPN
ajst-27334	136	5	d	d	PROPN
ajst-27334	136	6	,	,	PUNCT
ajst-27334	136	7	agarwal	agarwal	PROPN
ajst-27334	136	8	a	a	PRON
ajst-27334	136	9	,	,	PUNCT
ajst-27334	136	10	chattopadhyay	chattopadhyay	PROPN
ajst-27334	136	11	p.	p.	PROPN
ajst-27334	136	12	gait	gait	PROPN
ajst-27334	136	13	recognition	recognition	NOUN
ajst-27334	136	14	from	from	ADP
ajst-27334	136	15	occluded	occluded	ADJ
ajst-27334	136	16	sequences	sequence	NOUN
ajst-27334	136	17	in	in	ADP
ajst-27334	136	18	surveillance	surveillance	NOUN
ajst-27334	136	19	sites[c]//european	sites[c]//european	PROPN
ajst-27334	136	20	conference	conference	NOUN
ajst-27334	136	21	on	on	ADP
ajst-27334	136	22	computer	computer	NOUN
ajst-27334	136	23	vision	vision	NOUN
ajst-27334	136	24	.	.	PUNCT
ajst-27334	137	1	cham	cham	PROPN
ajst-27334	137	2	:	:	PUNCT
ajst-27334	137	3	springer	springer	NOUN
ajst-27334	137	4	nature	nature	PROPN
ajst-27334	137	5	switzerland	switzerland	PROPN
ajst-27334	137	6	,	,	PUNCT
ajst-27334	137	7	2022	2022	NUM
ajst-27334	137	8	:	:	PUNCT
ajst-27334	137	9	703	703	NUM
ajst-27334	137	10	-	-	SYM
ajst-27334	137	11	719	719	NUM
ajst-27334	137	12	.	.	PUNCT
ajst-27334	138	1	[	[	X
ajst-27334	138	2	13	13	NUM
ajst-27334	138	3	]	]	X
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ajst-27334	138	5	h	h	NOUN
ajst-27334	138	6	,	,	PUNCT
ajst-27334	138	7	ji	ji	PROPN
ajst-27334	138	8	q.	q.	PROPN
ajst-27334	138	9	physics	physics	PROPN
ajst-27334	138	10	-	-	PUNCT
ajst-27334	138	11	augmented	augment	VERB
ajst-27334	138	12	autoencoder	autoencoder	NOUN
ajst-27334	138	13	for	for	ADP
ajst-27334	138	14	3d	3d	NUM
ajst-27334	138	15	skeletonbased	skeletonbase	VERB
ajst-27334	138	16	gait	gait	NOUN
ajst-27334	138	17	recognition[c]//proceedings	recognition[c]//proceeding	NOUN
ajst-27334	138	18	of	of	ADP
ajst-27334	138	19	the	the	DET
ajst-27334	138	20	ieee	ieee	NOUN
ajst-27334	138	21	/	/	SYM
ajst-27334	138	22	cvf	cvf	NOUN
ajst-27334	138	23	international	international	ADJ
ajst-27334	138	24	conference	conference	NOUN
ajst-27334	138	25	on	on	ADP
ajst-27334	138	26	computer	computer	NOUN
ajst-27334	138	27	vision	vision	NOUN
ajst-27334	138	28	.	.	PUNCT
ajst-27334	139	1	2023	2023	NUM
ajst-27334	139	2	:	:	PUNCT
ajst-27334	139	3	1962719638	1962719638	NUM
ajst-27334	139	4	.	.	PUNCT
ajst-27334	140	1	[	[	X
ajst-27334	140	2	14	14	NUM
ajst-27334	140	3	]	]	PUNCT
ajst-27334	140	4	pan	pan	PROPN
ajst-27334	140	5	h	h	PROPN
ajst-27334	140	6	,	,	PUNCT
ajst-27334	140	7	chen	chen	PROPN
ajst-27334	140	8	y	y	PROPN
ajst-27334	140	9	,	,	PUNCT
ajst-27334	140	10	xu	xu	PROPN
ajst-27334	140	11	t	t	PROPN
ajst-27334	140	12	,	,	PUNCT
ajst-27334	140	13	et	et	PROPN
ajst-27334	140	14	al	al	PROPN
ajst-27334	140	15	.	.	PROPN
ajst-27334	141	1	toward	toward	ADP
ajst-27334	141	2	complete	complete	ADJ
ajst-27334	141	3	-	-	PUNCT
ajst-27334	141	4	view	view	NOUN
ajst-27334	141	5	and	and	CCONJ
ajst-27334	141	6	highlevel	highlevel	ADJ
ajst-27334	141	7	pose	pose	NOUN
ajst-27334	141	8	-	-	PUNCT
ajst-27334	141	9	based	base	VERB
ajst-27334	141	10	gait	gait	NOUN
ajst-27334	141	11	recognition[j	recognition[j	PROPN
ajst-27334	141	12	]	]	PUNCT
ajst-27334	141	13	.	.	PUNCT
ajst-27334	142	1	ieee	ieee	NOUN
ajst-27334	142	2	transactions	transaction	NOUN
ajst-27334	142	3	on	on	ADP
ajst-27334	142	4	information	information	NOUN
ajst-27334	142	5	forensics	forensic	NOUN
ajst-27334	142	6	and	and	CCONJ
ajst-27334	142	7	security	security	NOUN
ajst-27334	142	8	,	,	PUNCT
ajst-27334	142	9	2023	2023	NUM
ajst-27334	142	10	,	,	PUNCT
ajst-27334	142	11	18	18	NUM
ajst-27334	142	12	:	:	SYM
ajst-27334	142	13	2104	2104	NUM
ajst-27334	142	14	-	-	SYM
ajst-27334	142	15	2118	2118	NUM
ajst-27334	142	16	.	.	PUNCT
ajst-27334	143	1	[	[	X
ajst-27334	143	2	15	15	NUM
ajst-27334	143	3	]	]	X
ajst-27334	143	4	kumar	kumar	PROPN
ajst-27334	143	5	s	s	PROPN
ajst-27334	143	6	s	s	PROPN
ajst-27334	143	7	,	,	PUNCT
ajst-27334	143	8	singh	singh	PROPN
ajst-27334	143	9	b	b	PROPN
ajst-27334	143	10	,	,	PUNCT
ajst-27334	143	11	chattopadhyay	chattopadhyay	NOUN
ajst-27334	143	12	p	p	NOUN
ajst-27334	143	13	,	,	PUNCT
ajst-27334	143	14	et	et	PROPN
ajst-27334	143	15	al	al	PROPN
ajst-27334	143	16	.	.	PUNCT
ajst-27334	143	17	bgaitr	bgaitr	PROPN
ajst-27334	143	18	-	-	PUNCT
ajst-27334	143	19	net	net	NOUN
ajst-27334	143	20	:	:	PUNCT
ajst-27334	143	21	an	an	DET
ajst-27334	143	22	effective	effective	ADJ
ajst-27334	143	23	neural	neural	ADJ
ajst-27334	143	24	model	model	NOUN
ajst-27334	143	25	for	for	ADP
ajst-27334	143	26	occlusion	occlusion	NOUN
ajst-27334	143	27	reconstruction	reconstruction	NOUN
ajst-27334	143	28	in	in	ADP
ajst-27334	143	29	gait	gait	ADJ
ajst-27334	143	30	sequences	sequence	NOUN
ajst-27334	143	31	by	by	ADP
ajst-27334	143	32	exploiting	exploit	VERB
ajst-27334	143	33	the	the	DET
ajst-27334	143	34	key	key	NOUN
ajst-27334	143	35	pose	pose	NOUN
ajst-27334	143	36	information[j	information[j	PROPN
ajst-27334	143	37	]	]	PUNCT
ajst-27334	143	38	.	.	PUNCT
ajst-27334	144	1	expert	expert	NOUN
ajst-27334	144	2	systems	system	NOUN
ajst-27334	144	3	with	with	ADP
ajst-27334	144	4	applications	application	NOUN
ajst-27334	144	5	,	,	PUNCT
ajst-27334	144	6	2024	2024	NUM
ajst-27334	144	7	,	,	PUNCT
ajst-27334	144	8	246	246	NUM
ajst-27334	144	9	:	:	SYM
ajst-27334	144	10	123181	123181	NUM
ajst-27334	144	11	.	.	PUNCT