MotionTrack_: Learning Robust Short-term and Long-term Motions for Multi-Object Tracking


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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.

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:

MOT20 | MOT17 |

Short name:

MotionTrack_

Detector:

Private

Description:

Reference:

Z. Qin, S. Zhou, L. Wang, J. Duan, G. Hua, W. Tang. MotionTrack: Learning Robust Short-term and Long-term Motions for Multi-Object Tracking. In CVPR, 2023.

Last submitted:

March 18, 2023 (11 months ago)

Published:

March 18, 2023 at 03:48:06 CET

Submissions:

1

Project page / code:

n/a

Open source:

No

Hardware:

_

Runtime:

15.7 Hz

Benchmark performance:

Sequence MOTA IDF1 HOTA MT ML FP FN Rcll Prcn AssA DetA AssRe AssPr DetRe DetPr LocA FAF ID Sw. Frag
MOT1781.180.165.11,308 (55.5)393 (16.7)23,80281,66085.595.365.165.470.878.670.778.883.21.31,140 (0.0)1,605 (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-DPM63.664.254.01354691,86771.190.755.352.860.778.758.774.983.31.01131
MOT17-01-FRCNN63.664.254.01354691,86771.190.755.352.860.778.758.774.983.31.01131
MOT17-01-SDP63.664.254.01354691,86771.190.755.352.860.778.758.774.983.31.01131
MOT17-03-DPM93.090.673.114404,0063,32496.896.272.773.877.781.179.779.282.92.74593
MOT17-03-FRCNN93.090.673.114404,0063,32496.896.272.773.877.781.179.779.282.92.74593
MOT17-03-SDP93.090.673.114404,0063,32496.896.272.773.877.781.179.779.282.92.74593
MOT17-06-DPM65.770.857.0115579863,01774.489.958.356.073.669.862.575.583.70.84276
MOT17-06-FRCNN65.770.857.0115579863,01774.489.958.356.073.669.862.575.583.70.84276
MOT17-06-SDP65.770.857.0115579863,01774.489.958.356.073.669.862.575.583.70.84276
MOT17-07-DPM76.465.554.83555813,34680.295.948.562.152.376.566.679.783.51.26590
MOT17-07-FRCNN76.465.554.83555813,34680.295.948.562.152.376.566.679.783.51.26590
MOT17-07-SDP76.465.554.83555813,34680.295.948.562.152.376.566.679.783.51.26590
MOT17-08-DPM67.453.147.63861,2495,47574.192.641.256.248.564.961.476.882.92.0167169
MOT17-08-FRCNN67.453.147.63861,2495,47574.192.641.256.248.564.961.476.882.92.0167169
MOT17-08-SDP67.453.147.63861,2495,47574.192.641.256.248.564.961.476.882.92.0167169
MOT17-12-DPM73.581.065.249183771,90178.194.769.361.576.080.466.680.885.50.41828
MOT17-12-FRCNN73.581.065.249183771,90178.194.769.361.576.080.466.680.885.50.41828
MOT17-12-SDP73.581.065.249183771,90178.194.769.361.576.080.466.680.885.50.41828
MOT17-14-DPM53.567.348.742402668,29055.197.554.943.457.382.845.380.183.00.43248
MOT17-14-FRCNN53.567.348.742402668,29055.197.554.943.457.382.845.380.183.00.43248
MOT17-14-SDP53.567.348.742402668,29055.197.554.943.457.382.845.380.183.00.43248

Raw data:


MotionTrack_