MOT Challenge

MOT17-03-FRCNN

MOT17-01-DPM

MOT17-03-DPM

MOT17-06-DPM

MOT17-07-DPM

MOT17-08-DPM

MOT17-12-DPM

MOT17-14-DPM

MOT17-01-FRCNN

MOT17-03-FRCNN

MOT17-06-FRCNN

MOT17-07-FRCNN

MOT17-08-FRCNN

MOT17-12-FRCNN

MOT17-14-FRCNN

MOT17-01-SDP

MOT17-03-SDP

MOT17-06-SDP

MOT17-07-SDP

MOT17-08-SDP

MOT17-12-SDP

MOT17-14-SDP

Benchmark:

MOT16 | MOT17 |

Short name:

TraDeS

Detector:

Private

Description:

@inproceedings{Wu2021TraDeS,
title={Track to Detect and Segment: An Online Multi-Object Tracker},
author={Wu, Jialian and Cao, Jiale and Song, Liangchen and Wang, Yu and Yang, Ming and Yuan, Junsong},
booktitle={CVPR},
year={2021}
}

Reference:

J. Wu, J. Cao, L. Song, Y. Wang, M. Yang, J. Yuan. Track to Detect and Segment: An Online Multi-Object Tracker. In CVPR, 2021.

Last submitted:

March 06, 2021 (3 years ago)

Published:

March 06, 2021 at 22:09:28 CET

Submissions:

Project page / code:

https://jialianwu.com/projects/TraDeS.html

Open source:

Hardware:

2080ti

Runtime:

66.9 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	69.1	63.9	52.7	858 (36.4)	507 (21.5)	20,892	150,060	73.4	95.2	50.8	55.2	54.8	76.9	59.2	76.8	81.8	1.2	3,555 (0.0)	4,833 (0.0)

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	47.6	47.8	40.0	11	5	767	2,553	60.4	83.6	39.3	41.0	42.0	74.6	47.2	65.3	79.6	1.7	58	73
MOT17-01-FRCNN	47.6	47.8	40.0	11	5	767	2,553	60.4	83.6	39.3	41.0	42.0	74.6	47.2	65.3	79.6	1.7	58	73
MOT17-01-SDP	47.6	47.8	40.0	11	5	767	2,553	60.4	83.6	39.3	41.0	42.0	74.6	47.2	65.3	79.6	1.7	58	73
MOT17-03-DPM	86.7	74.5	61.0	113	4	1,619	12,076	88.5	98.3	55.4	67.5	59.1	78.8	71.3	79.2	81.7	1.1	225	396
MOT17-03-FRCNN	86.7	74.5	61.0	113	4	1,619	12,076	88.5	98.3	55.4	67.5	59.1	78.8	71.3	79.2	81.7	1.1	225	396
MOT17-03-SDP	86.7	74.5	61.0	113	4	1,619	12,076	88.5	98.3	55.4	67.5	59.1	78.8	71.3	79.2	81.7	1.1	225	396
MOT17-06-DPM	59.9	57.3	46.7	73	50	553	3,956	66.4	93.4	44.0	49.9	49.7	71.8	54.0	75.9	82.2	0.5	211	234
MOT17-06-FRCNN	59.9	57.3	46.7	73	50	553	3,956	66.4	93.4	44.0	49.9	49.7	71.8	54.0	75.9	82.2	0.5	211	234
MOT17-06-SDP	59.9	57.3	46.7	73	50	553	3,956	66.4	93.4	44.0	49.9	49.7	71.8	54.0	75.9	82.2	0.5	211	234
MOT17-07-DPM	53.2	47.2	39.3	18	5	1,543	6,195	63.3	87.4	35.7	44.5	39.2	67.6	50.1	69.1	80.3	3.1	170	232
MOT17-07-FRCNN	53.2	47.2	39.3	18	5	1,543	6,195	63.3	87.4	35.7	44.5	39.2	67.6	50.1	69.1	80.3	3.1	170	232
MOT17-07-SDP	53.2	47.2	39.3	18	5	1,543	6,195	63.3	87.4	35.7	44.5	39.2	67.6	50.1	69.1	80.3	3.1	170	232
MOT17-08-DPM	35.8	36.5	34.0	14	29	324	13,056	38.2	96.1	37.7	31.2	41.3	74.1	32.3	81.4	84.8	0.5	188	229
MOT17-08-FRCNN	35.8	36.5	34.0	14	29	324	13,056	38.2	96.1	37.7	31.2	41.3	74.1	32.3	81.4	84.8	0.5	188	229
MOT17-08-SDP	35.8	36.5	34.0	14	29	324	13,056	38.2	96.1	37.7	31.2	41.3	74.1	32.3	81.4	84.8	0.5	188	229
MOT17-12-DPM	52.4	61.1	51.2	26	30	497	3,570	58.8	91.1	57.1	46.1	61.4	79.9	50.1	77.7	85.4	0.6	55	78
MOT17-12-FRCNN	52.4	61.1	51.2	26	30	497	3,570	58.8	91.1	57.1	46.1	61.4	79.9	50.1	77.7	85.4	0.6	55	78
MOT17-12-SDP	52.4	61.1	51.2	26	30	497	3,570	58.8	91.1	57.1	46.1	61.4	79.9	50.1	77.7	85.4	0.6	55	78
MOT17-14-DPM	42.9	48.7	37.0	31	46	1,661	8,614	53.4	85.6	36.8	37.7	41.4	66.6	42.2	67.7	80.0	2.2	278	369
MOT17-14-FRCNN	42.9	48.7	37.0	31	46	1,661	8,614	53.4	85.6	36.8	37.7	41.4	66.6	42.2	67.7	80.0	2.2	278	369
MOT17-14-SDP	42.9	48.7	37.0	31	46	1,661	8,614	53.4	85.6	36.8	37.7	41.4	66.6	42.2	67.7	80.0	2.2	278	369

Raw data:

download

RTAT

TraDeS

AFN17

TraDeS: Track to Detect and Segment