Challenge and Dataset on Large-scale Human-centric Video Analysis in Complex Events (HiEve) |
The baseline for our HiEve MOT track.
Unknow
1
Benchmark
performance:
MOTA | w_MOTA | IDF1 | MT | ML | FP | FN | ID_Sw | ID_Sw_DT | Frag | MOTP |
---|---|---|---|---|---|---|---|---|---|---|
27.1159 | 21.9465 | 28.5525 | 8.4995 | 41.4481 | 5894 | 42668 | 2220 | 90 | 3122 | 70.4732 |
Detailed
performance:
Video ID | MOTA | w_MOTA | IDF1 | MT | ML | FP | FN | ID_Sw | ID_Sw_DT | Frag | MOTP |
---|---|---|---|---|---|---|---|---|---|---|---|
20 | 45.1886 | 43.1755 | 48.3563 | 34.6939 | 14.2857 | 1564 | 4678 | 297 | 6 | 542 | 71.7001 |
21 | 13.3599 | 9.3599 | 21.3396 | 0.0000 | 56.6667 | 56 | 778 | 35 | 1 | 62 | 68.9425 |
22 | 3.3996 | -1.1285 | 8.9868 | 1.9417 | 73.7864 | 610 | 8585 | 182 | 11 | 232 | 69.8996 |
23 | 39.3176 | 33.9569 | 31.2673 | 21.4286 | 28.5714 | 797 | 1827 | 97 | 6 | 190 | 70.8187 |
24 | 7.8550 | -3.7694 | 8.7948 | 1.2158 | 65.3495 | 602 | 11409 | 365 | 39 | 418 | 66.3843 |
25 | 41.3702 | 36.1044 | 22.4090 | 5.7471 | 10.3448 | 168 | 3030 | 362 | 8 | 338 | 75.1891 |
26 | 34.6237 | 32.4737 | 31.8258 | 23.5294 | 29.4118 | 153 | 2220 | 59 | 2 | 165 | 69.8674 |
27 | 21.2950 | 15.7832 | 18.5883 | 4.8387 | 20.9677 | 729 | 2929 | 341 | 7 | 442 | 66.9322 |
28 | 24.7927 | 13.7386 | 27.1547 | 10.0000 | 45.0000 | 308 | 1522 | 75 | 7 | 124 | 66.0812 |
29 | 37.3268 | 35.5226 | 39.0533 | 16.0000 | 28.0000 | 289 | 1045 | 68 | 1 | 136 | 68.8685 |
30 | 36.2078 | 36.2078 | 26.8447 | 11.1111 | 17.7778 | 39 | 1159 | 67 | 0 | 64 | 73.4425 |
31 | 55.7623 | 55.7623 | 49.0729 | 42.2222 | 4.4444 | 175 | 646 | 154 | 0 | 175 | 70.3384 |
32 | 36.4461 | 34.9347 | 44.1552 | 20.0000 | 35.0000 | 404 | 2840 | 118 | 2 | 234 | 69.5501 |