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.

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 (1 year ago)

Published:

March 18, 2023 at 03:53:16 CET

Submissions:

1

Project page / code:

n/a

Open source:

No

Hardware:

_

Runtime:

9.0 Hz

Benchmark performance:

Sequence MOTA IDF1 HOTA MT ML FP FN Rcll Prcn AssA DetA AssRe AssPr DetRe DetPr LocA FAF ID Sw. Frag
MOT2078.076.562.8886 (71.3)118 (9.5)28,62984,15283.793.861.864.068.076.570.178.584.06.41,165 (0.0)1,321 (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
MOT20-0488.084.769.65781812,80819,79192.895.267.172.373.478.778.580.684.76.2293431
MOT20-0666.164.853.1146568,12036,35172.692.252.254.358.171.659.775.882.98.1492475
MOT20-0782.777.566.29032,3753,26390.192.663.869.470.077.577.479.585.64.1104109
MOT20-0860.863.949.872415,32624,74768.190.850.349.655.972.254.973.381.96.6276306

Raw data:


MotionTrack_