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Challenge and Dataset on Large-scale Human-centric Video Analysis in Complex Events (HiEve) |
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Challenge and Dataset on Large-scale Human-centric Video Analysis in Complex Events (HiEve) |
Balance temporal information for MOT
0.5s
1
Benchmark
performance:
| MOTA | w_MOTA | IDF1 | MT | ML | FP | FN | ID_Sw | ID_Sw_DT | Frag | MOTP |
|---|---|---|---|---|---|---|---|---|---|---|
| -20.5798 | -25.0025 | 7.2636 | 1.3641 | 71.1438 | 24770 | 55138 | 4106 | 77 | 3519 | 66.4744 |
Detailed
performance:
| Video ID | MOTA | w_MOTA | IDF1 | MT | ML | FP | FN | ID_Sw | ID_Sw_DT | Frag | MOTP |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 20 | -27.5272 | -28.5337 | 7.5371 | 2.0408 | 51.0204 | 6517 | 7477 | 1220 | 3 | 888 | 65.1947 |
| 21 | -25.2243 | -29.2243 | 9.3544 | 0.0000 | 63.3333 | 346 | 834 | 76 | 1 | 68 | 63.3872 |
| 22 | -2.9154 | -8.6785 | 4.0193 | 1.9417 | 83.4951 | 842 | 8861 | 287 | 14 | 286 | 64.2621 |
| 23 | -37.6896 | -42.1569 | 7.5872 | 0.0000 | 50.0000 | 2423 | 3562 | 189 | 5 | 271 | 62.4634 |
| 24 | -19.3359 | -28.5758 | 2.3760 | 0.0000 | 87.8419 | 3001 | 12691 | 336 | 31 | 267 | 64.0083 |
| 25 | -6.7852 | -12.0510 | 13.3278 | 1.7241 | 42.5287 | 1772 | 4312 | 400 | 8 | 310 | 71.7007 |
| 26 | -42.3925 | -44.5425 | 1.9549 | 0.0000 | 100.0000 | 1695 | 3508 | 94 | 2 | 109 | 60.5815 |
| 27 | -32.4149 | -37.1393 | 6.3778 | 3.2258 | 75.8065 | 2552 | 3714 | 462 | 6 | 341 | 66.7861 |
| 28 | -22.2266 | -30.1224 | 8.9982 | 0.0000 | 40.0000 | 1131 | 1685 | 280 | 5 | 264 | 63.3376 |
| 29 | -11.3545 | -13.1587 | 15.4519 | 0.0000 | 56.0000 | 686 | 1730 | 75 | 1 | 123 | 64.2437 |
| 30 | -26.4246 | -26.4246 | 7.7000 | 0.0000 | 71.1111 | 732 | 1685 | 90 | 0 | 106 | 61.7062 |
| 31 | -73.0036 | -73.0036 | 3.2637 | 2.2222 | 95.5556 | 1748 | 1989 | 76 | 0 | 53 | 64.4226 |
| 32 | 6.6919 | 5.9362 | 14.9745 | 10.0000 | 42.5000 | 1325 | 3090 | 521 | 1 | 433 | 71.4258 |