LPC_MOT: Learning a Proposal Classifier for Multiple 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.
Short name:
LPC_MOT
Detector:
Public
Description:
This approach is devised by Tsinghua University and AIBEE Inc.
Reference:
P. Dai, R. Weng, W. Choi, C. Zhang, Z. He, W. Ding. Learning a Proposal Classifier for Multiple Object tracking. In CVPR (Accepted), 2021.
Last submitted:
July 05, 2020 (4 years ago)
Published:
July 05, 2020 at 09:05:11 CET
Submissions:
2
Project page / code:
Open source:
Yes
Hardware:
GeForce GTX 1080 Ti
Runtime:
0.7 Hz
Benchmark performance:
| Sequence | MOTA | IDF1 | HOTA | MT | ML | FP | FN | Rcll | Prcn | AssA | DetA | AssRe | AssPr | DetRe | DetPr | LocA | FAF | ID Sw. | Frag |
| MOT20 | 56.3 | 62.5 | 49.0 | 424 (34.1) | 313 (25.2) | 11,726 | 213,056 | 58.8 | 96.3 | 52.4 | 45.8 | 54.7 | 81.3 | 48.1 | 78.7 | 82.3 | 2.6 | 1,562 (26.6) | 1,865 (31.7) |
Detailed performance:
| Sequence | MOTA | IDF1 | HOTA | MT | ML | FP | FN | Rcll | Prcn | AssA | DetA | AssRe | AssPr | DetRe | DetPr | LocA | FAF | ID Sw. | Frag |
| MOT20-04 | 75.7 | 75.7 | 59.2 | 356 | 63 | 4,180 | 61,864 | 77.4 | 98.1 | 57.8 | 60.8 | 60.3 | 82.6 | 63.8 | 80.8 | 83.0 | 2.0 | 648 | 670 |
| MOT20-06 | 35.3 | 43.2 | 33.3 | 35 | 121 | 3,503 | 81,891 | 38.3 | 93.6 | 37.7 | 29.5 | 39.4 | 78.0 | 30.8 | 75.2 | 80.6 | 3.5 | 499 | 653 |
| MOT20-07 | 50.8 | 58.9 | 44.5 | 20 | 29 | 229 | 15,921 | 51.9 | 98.7 | 48.9 | 40.6 | 51.2 | 81.1 | 42.1 | 80.1 | 82.3 | 0.4 | 124 | 138 |
| MOT20-08 | 25.8 | 37.4 | 29.4 | 13 | 100 | 3,814 | 53,380 | 31.1 | 86.3 | 37.1 | 23.4 | 39.1 | 74.7 | 24.8 | 68.9 | 79.3 | 4.7 | 291 | 404 |
Raw data:
