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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) |
Crowd-Tracker
4fps
12
Benchmark
performance:
| MOTA | w_MOTA | IDF1 | MT | ML | FP | FN | ID_Sw | ID_Sw_DT | Frag | MOTP |
|---|---|---|---|---|---|---|---|---|---|---|
| 55.5163 | 49.7725 | 57.2295 | 32.9486 | 22.8751 | 3439 | 25783 | 1772 | 100 | 2351 | 75.3567 |
Detailed
performance:
| Video ID | MOTA | w_MOTA | IDF1 | MT | ML | FP | FN | ID_Sw | ID_Sw_DT | Frag | MOTP |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 20 | 83.1601 | 80.8115 | 83.9659 | 69.3878 | 2.0408 | 843 | 1122 | 44 | 7 | 181 | 77.7199 |
| 21 | 46.3609 | 42.3609 | 56.1336 | 13.3333 | 23.3333 | 31 | 480 | 27 | 1 | 28 | 75.1913 |
| 22 | 17.9252 | 11.7505 | 21.7055 | 0.9709 | 42.7184 | 581 | 7049 | 337 | 15 | 477 | 68.9629 |
| 23 | 86.1062 | 80.7455 | 67.7722 | 78.5714 | 0.0000 | 103 | 448 | 72 | 6 | 94 | 77.0173 |
| 24 | 15.9556 | 2.2447 | 18.8643 | 4.8632 | 44.3769 | 657 | 10015 | 616 | 46 | 628 | 69.0075 |
| 25 | 75.0494 | 69.7836 | 77.4526 | 63.7931 | 0.0000 | 232 | 1133 | 150 | 8 | 81 | 76.0400 |
| 26 | 73.4946 | 71.3446 | 53.3513 | 64.7059 | 11.7647 | 82 | 853 | 51 | 2 | 78 | 73.8168 |
| 27 | 80.3385 | 75.6141 | 62.7552 | 75.8065 | 3.2258 | 210 | 623 | 166 | 6 | 201 | 78.0246 |
| 28 | 75.4047 | 65.9298 | 74.3240 | 50.0000 | 5.0000 | 149 | 444 | 30 | 6 | 66 | 75.0631 |
| 29 | 56.2360 | 54.4318 | 60.6667 | 44.0000 | 20.0000 | 182 | 756 | 41 | 1 | 114 | 73.2474 |
| 30 | 49.6722 | 49.6722 | 46.9910 | 20.0000 | 2.2222 | 36 | 878 | 84 | 0 | 84 | 76.4340 |
| 31 | 83.1216 | 83.1216 | 82.3837 | 84.4444 | 2.2222 | 76 | 272 | 24 | 0 | 84 | 74.1901 |
| 32 | 60.3592 | 58.8478 | 55.8563 | 27.5000 | 20.0000 | 257 | 1710 | 130 | 2 | 235 | 75.4889 |