MOT Challenge

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Rendering of new sequences is currently deactivated due to heavy load.

Rendering of new sequences is currently deactivated due to heavy load.

Rendering of new sequences is currently deactivated due to heavy load.

Rendering of new sequences is currently deactivated due to heavy load.

Rendering of new sequences is currently deactivated due to heavy load.

Rendering of new sequences is currently deactivated due to heavy load.

Rendering of new sequences is currently deactivated due to heavy load.

Rendering of new sequences is currently deactivated due to heavy load.

Rendering of new sequences is currently deactivated due to heavy load.

Rendering of new sequences is currently deactivated due to heavy load.

Rendering of new sequences is currently deactivated due to heavy load.

Rendering of new sequences is currently deactivated due to heavy load.

Rendering of new sequences is currently deactivated due to heavy load.

Rendering of new sequences is currently deactivated due to heavy load.

Rendering of new sequences is currently deactivated due to heavy load.

Rendering of new sequences is currently deactivated due to heavy load.

Benchmark:

MOT17 |

Short name:

FAMNet

Detector:

Public

Description:

n/a

Reference:

P. Chu, H. Ling. FAMNet: Joint Learning of Feature, Affinity and Multi-dimensional Assignment for Online Multiple Object Tracking. In ICCV, 2019.

Last submitted:

February 27, 2019 (5 years ago)

Published:

April 14, 2019 at 06:08:09 CET

Submissions:

Project page / code:

n/a

Open source:

Hardware:

3 GHZ, 4 Core

Runtime:

0.0 Hz

Benchmark performance:

Sequence	MOTA	IDF1	HOTA	MT	ML	FP	FN	Rcll	Prcn	AssA	DetA	AssRe	AssPr	DetRe	DetPr	LocA	FAF	ID Sw.	Frag
MOT17	52.0	48.7	0.0	450 (19.1)	787 (33.4)	14,138	253,616	55.1	95.6	0.0	0.0	0.0	0.0	0.0	0.0	100.0	0.8	3,072 (55.8)	5,318 (96.6)

Detailed performance:

Sequence	MOTA	IDF1	HOTA	MT	ML	FP	FN	Rcll	Prcn	AssA	DetA	AssRe	AssPr	DetRe	DetPr	LocA	FAF	ID Sw.	Frag
MOT17-01-DPM	40.2	32.9	0.0	2	9	110	3,701	42.6	96.2	0.0	0.0	0.0	0.0	0.0	0.0	100.0	0.2	44	71
MOT17-01-FRCNN	41.9	34.6	0.0	6	10	268	3,448	46.5	91.8	0.0	0.0	0.0	0.0	0.0	0.0	100.0	0.6	31	46
MOT17-01-SDP	50.7	41.0	0.0	6	6	156	2,982	53.8	95.7	0.0	0.0	0.0	0.0	0.0	0.0	100.0	0.3	44	70
MOT17-03-DPM	56.9	46.8	0.0	32	24	2,093	42,507	59.4	96.7	0.0	0.0	0.0	0.0	0.0	0.0	100.0	1.4	499	803
MOT17-03-FRCNN	58.7	54.4	0.0	39	26	1,314	41,649	60.2	98.0	0.0	0.0	0.0	0.0	0.0	0.0	100.0	0.9	240	411
MOT17-03-SDP	72.5	62.1	0.0	69	17	1,134	27,269	73.9	98.6	0.0	0.0	0.0	0.0	0.0	0.0	100.0	0.8	362	781
MOT17-06-DPM	49.7	49.1	0.0	34	91	290	5,510	53.2	95.6	0.0	0.0	0.0	0.0	0.0	0.0	100.0	0.2	130	204
MOT17-06-FRCNN	56.1	54.4	0.0	60	59	528	4,493	61.9	93.2	0.0	0.0	0.0	0.0	0.0	0.0	100.0	0.4	151	222
MOT17-06-SDP	57.6	53.8	0.0	72	67	646	4,198	64.4	92.2	0.0	0.0	0.0	0.0	0.0	0.0	100.0	0.5	150	185
MOT17-07-DPM	44.5	39.7	0.0	7	17	426	8,812	47.8	95.0	0.0	0.0	0.0	0.0	0.0	0.0	100.0	0.9	136	241
MOT17-07-FRCNN	39.4	41.7	0.0	6	11	897	9,211	45.5	89.5	0.0	0.0	0.0	0.0	0.0	0.0	100.0	1.8	131	308
MOT17-07-SDP	49.8	44.4	0.0	12	14	542	7,812	53.8	94.4	0.0	0.0	0.0	0.0	0.0	0.0	100.0	1.1	133	254
MOT17-08-DPM	25.7	26.3	0.0	5	39	399	15,160	28.2	93.7	0.0	0.0	0.0	0.0	0.0	0.0	100.0	0.6	139	152
MOT17-08-FRCNN	24.5	26.0	0.0	6	37	367	15,496	26.6	93.9	0.0	0.0	0.0	0.0	0.0	0.0	100.0	0.6	95	118
MOT17-08-SDP	29.0	27.3	0.0	9	34	413	14,422	31.7	94.2	0.0	0.0	0.0	0.0	0.0	0.0	100.0	0.7	154	204
MOT17-12-DPM	42.3	50.2	0.0	16	39	239	4,713	45.6	94.3	0.0	0.0	0.0	0.0	0.0	0.0	100.0	0.3	49	102
MOT17-12-FRCNN	41.8	50.7	0.0	12	43	208	4,809	44.5	94.9	0.0	0.0	0.0	0.0	0.0	0.0	100.0	0.2	31	49
MOT17-12-SDP	44.9	53.8	0.0	17	39	345	4,386	49.4	92.5	0.0	0.0	0.0	0.0	0.0	0.0	100.0	0.4	44	76
MOT17-14-DPM	33.0	40.3	0.0	11	78	446	11,824	36.0	93.7	0.0	0.0	0.0	0.0	0.0	0.0	100.0	0.6	111	219
MOT17-14-FRCNN	28.0	36.7	0.0	16	71	1,731	11,383	38.4	80.4	0.0	0.0	0.0	0.0	0.0	0.0	100.0	2.3	188	407
MOT17-14-SDP	37.1	43.0	0.0	13	56	1,586	9,831	46.8	84.5	0.0	0.0	0.0	0.0	0.0	0.0	100.0	2.1	210	395

Raw data:

download

MOT_FCG_plus

FAMNet

AFN17

FAMNet: FAMNet