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.

Benchmark:

MOT15 |

Short name:

ALExTRAC

Detector:

Public

Description:

Appearance only tracking through the use of a self-supervised affinity model.

Reference:

A. Bewley, L. Ott, F. Ramos, B. Upcroft. ALExTRAC: Affinity Learning by Exploring Temporal Reinforcement within Association Chains. In International Conference on Robotics and Automation (ICRA), (to appear) 2016.

Last submitted:

September 12, 2015 (9 years ago)

Published:

February 16, 2016 at 04:03:23 CET

Submissions:

Project page / code:

http://www.dynamicdetection.com

Open source:

Hardware:

2.5 GHz, 4 cores

Runtime:

3.7 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	17.0	17.3	0.0	28 (3.9)	378 (52.4)	9,233	39,933	35.0	70.0	0.0	0.0	0.0	0.0	0.0	0.0	100.0	1.6	1,859 (53.1)	1,872 (53.5)

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	5.1	13.5	0.0	5	7	3,503	5,010	46.2	55.1	0.0	0.0	0.0	0.0	0.0	0.0	100.0	7.0	321	306
ADL-Rundle-3	18.1	16.4	0.0	3	10	2,420	5,523	45.7	65.7	0.0	0.0	0.0	0.0	0.0	0.0	100.0	3.9	385	261
AVG-TownCentre	13.3	21.3	0.0	3	138	442	5,637	21.1	77.4	0.0	0.0	0.0	0.0	0.0	0.0	100.0	1.0	118	152
ETH-Crossing	19.6	23.1	0.0	2	17	13	783	21.9	94.4	0.0	0.0	0.0	0.0	0.0	0.0	100.0	0.1	10	10
ETH-Jelmoli	32.9	33.0	0.0	6	13	283	1,334	47.4	81.0	0.0	0.0	0.0	0.0	0.0	0.0	100.0	0.6	86	98
ETH-Linthescher	15.4	17.8	0.0	3	150	94	7,369	17.5	94.3	0.0	0.0	0.0	0.0	0.0	0.0	100.0	0.1	90	103
KITTI-16	13.9	12.8	0.0	0	4	105	1,279	24.8	80.1	0.0	0.0	0.0	0.0	0.0	0.0	100.0	0.5	80	73
KITTI-19	13.5	21.0	0.0	4	19	1,128	3,266	38.9	64.8	0.0	0.0	0.0	0.0	0.0	0.0	100.0	1.1	227	326
PETS09-S2L2	27.5	12.9	0.0	0	11	449	6,153	36.2	88.6	0.0	0.0	0.0	0.0	0.0	0.0	100.0	1.0	385	359
TUD-Crossing	51.2	41.0	0.0	2	2	39	459	58.3	94.3	0.0	0.0	0.0	0.0	0.0	0.0	100.0	0.2	40	50
Venice-1	12.5	12.2	0.0	0	7	757	3,120	31.6	65.6	0.0	0.0	0.0	0.0	0.0	0.0	100.0	1.7	117	134

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