Challenge and Dataset on Large-scale Human-centric Video Analysis in Complex Events (HiEve) |
FairMOT(baseline)
8000
2
Benchmark
performance:
MOTA | w_MOTA | IDF1 | MT | ML | FP | FN | ID_Sw | ID_Sw_DT | Frag | MOTP |
---|---|---|---|---|---|---|---|---|---|---|
35.0298 | 30.4922 | 46.6524 | 16.2644 | 44.1763 | 6523 | 37750 | 995 | 79 | 2312 | 75.5656 |
Detailed
performance:
Video ID | MOTA | w_MOTA | IDF1 | MT | ML | FP | FN | ID_Sw | ID_Sw_DT | Frag | MOTP |
---|---|---|---|---|---|---|---|---|---|---|---|
20 | 31.7687 | 29.7556 | 56.3191 | 46.9388 | 16.3265 | 4315 | 3757 | 68 | 6 | 271 | 76.9033 |
21 | 6.8794 | 2.8794 | 12.7971 | 0.0000 | 90.0000 | 7 | 919 | 8 | 1 | 17 | 66.2088 |
22 | 15.8236 | 11.7071 | 20.4334 | 0.9709 | 64.0777 | 101 | 7887 | 183 | 10 | 345 | 73.4748 |
23 | 84.5897 | 79.2290 | 68.0951 | 71.4286 | 14.2857 | 87 | 561 | 43 | 6 | 70 | 76.1335 |
24 | 8.7931 | -1.0430 | 15.2357 | 1.2158 | 70.5167 | 296 | 11760 | 194 | 33 | 321 | 72.9207 |
25 | 24.3083 | 19.0425 | 41.4994 | 0.5747 | 25.2874 | 461 | 3988 | 147 | 8 | 335 | 73.9949 |
26 | 47.3925 | 45.2425 | 46.6415 | 29.4118 | 29.4118 | 152 | 1756 | 49 | 2 | 155 | 74.8436 |
27 | 81.8933 | 77.1689 | 77.2451 | 82.2581 | 3.2258 | 289 | 563 | 68 | 6 | 196 | 80.0586 |
28 | 32.4911 | 24.5953 | 37.9028 | 5.0000 | 45.0000 | 131 | 1535 | 44 | 5 | 139 | 70.4512 |
29 | 54.9397 | 53.1355 | 53.1897 | 32.0000 | 24.0000 | 59 | 912 | 37 | 1 | 97 | 76.6206 |
30 | 36.8633 | 36.8633 | 48.7885 | 17.7778 | 6.6667 | 141 | 1053 | 58 | 0 | 107 | 77.0658 |
31 | 76.3612 | 76.3612 | 84.1360 | 80.0000 | 4.4444 | 164 | 336 | 21 | 0 | 54 | 74.8192 |
32 | 41.0586 | 40.3029 | 45.7380 | 17.5000 | 37.5000 | 320 | 2723 | 75 | 1 | 205 | 69.3118 |