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.

Benchmark:

MOT15 |

Short name:

BiGRU1

Detector:

Public

Description:

n/a

Reference:

Zaifeng Shi, Huizheng Ren, Qingjie Cao, Boyu Fan, and Qiangqiang FanData association framework based on biconnected gated recurrent unit network for multiple object tracking. In JEI, 2020.

Last submitted:

November 11, 2019 (5 years ago)

Published:

November 28, 2020 at 10:05:00 CET

Submissions:

Project page / code:

n/a

Open source:

Hardware:

E5 1650, 24G DDR3, and gtx 1070

Runtime:

4.0 Hz

Benchmark performance:

Sequence	MOTA	IDF1	HOTA	MT	ML	FP	FN	Rcll	Prcn	AssA	DetA	AssRe	AssPr	DetRe	DetPr	LocA	FAF	ID Sw.	Frag
MOT15	26.1	32.2	0.0	47 (6.5)	352 (48.8)	5,761	38,948	36.6	79.6	0.0	0.0	0.0	0.0	0.0	0.0	0.0	1.0	719 (19.6)	2,046 (55.9)

Detailed performance:

Sequence	MOTA	IDF1	HOTA	MT	ML	FP	FN	Rcll	Prcn	AssA	DetA	AssRe	AssPr	DetRe	DetPr	LocA	FAF	ID Sw.	Frag
ADL-Rundle-1	8.2	31.5	0.0	2	11	2,876	5,577	40.1	56.5	0.0	0.0	0.0	0.0	0.0	0.0	0.0	5.8	94	381
ADL-Rundle-3	38.2	42.7	0.0	4	14	177	6,070	40.3	95.9	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.3	38	207
AVG-TownCentre	19.8	8.9	0.0	8	101	604	4,979	30.3	78.2	0.0	0.0	0.0	0.0	0.0	0.0	0.0	1.3	147	349
ETH-Crossing	27.2	32.8	0.0	1	17	21	705	29.7	93.4	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.1	4	8
ETH-Jelmoli	42.3	50.5	0.0	11	13	315	1,119	55.9	81.8	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.7	29	65
ETH-Linthescher	16.4	22.9	0.0	8	155	89	7,366	17.5	94.6	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.1	9	59
KITTI-16	35.9	36.3	0.0	0	3	69	999	41.3	91.1	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.3	22	70
KITTI-19	29.9	40.1	0.0	3	18	560	3,115	41.7	79.9	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.5	73	271
PETS09-S2L2	32.5	26.3	0.0	1	10	648	5,568	42.2	86.3	0.0	0.0	0.0	0.0	0.0	0.0	0.0	1.5	291	575
TUD-Crossing	73.7	67.4	0.0	9	2	85	197	82.1	91.4	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.4	8	10
Venice-1	21.7	39.7	0.0	0	8	317	3,253	28.7	80.5	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.7	4	51

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BiGRU1: Framework of Biconnected GRU with Fully-connected Networks