Challenge and Dataset on Large-scale Human-centric Video Analysis in Complex Events (HiEve) |
Refine FairMOT
na
6
Benchmark
performance:
MOTA | w_MOTA | IDF1 | MT | ML | FP | FN | ID_Sw | ID_Sw_DT | Frag | MOTP |
---|---|---|---|---|---|---|---|---|---|---|
43.5551 | 38.2708 | 48.2311 | 21.3012 | 32.4239 | 3155 | 34612 | 1561 | 92 | 2756 | 76.5541 |
Detailed
performance:
Video ID | MOTA | w_MOTA | IDF1 | MT | ML | FP | FN | ID_Sw | ID_Sw_DT | Frag | MOTP |
---|---|---|---|---|---|---|---|---|---|---|---|
20 | 65.8340 | 63.8209 | 68.2720 | 40.8163 | 12.2449 | 327 | 3672 | 77 | 6 | 362 | 79.2983 |
21 | 25.0249 | 21.0249 | 37.1297 | 0.0000 | 26.6667 | 107 | 594 | 51 | 1 | 62 | 67.0499 |
22 | 17.1011 | 10.5147 | 19.1879 | 3.8835 | 32.0388 | 726 | 6767 | 554 | 16 | 642 | 69.2210 |
23 | 81.9358 | 76.5751 | 61.7538 | 64.2857 | 21.4286 | 71 | 680 | 59 | 6 | 107 | 81.5660 |
24 | 9.9620 | -1.6624 | 17.6830 | 2.4316 | 63.5258 | 600 | 11243 | 250 | 39 | 345 | 69.6956 |
25 | 65.5138 | 60.2480 | 78.5812 | 39.6552 | 0.0000 | 441 | 1590 | 63 | 8 | 159 | 77.6421 |
26 | 44.4355 | 43.3605 | 38.1532 | 29.4118 | 23.5294 | 240 | 1767 | 60 | 1 | 137 | 77.3994 |
27 | 77.6816 | 72.1698 | 56.8944 | 66.1290 | 3.2258 | 166 | 784 | 184 | 7 | 295 | 78.3273 |
28 | 15.5152 | 6.0403 | 17.0579 | 0.0000 | 65.0000 | 30 | 2071 | 39 | 6 | 107 | 69.0905 |
29 | 29.9508 | 28.1466 | 32.8657 | 0.0000 | 48.0000 | 28 | 1508 | 31 | 1 | 134 | 75.8856 |
30 | 57.0852 | 57.0852 | 64.7148 | 26.6667 | 2.2222 | 65 | 718 | 68 | 0 | 104 | 77.6132 |
31 | 69.1016 | 69.1016 | 71.3123 | 57.7778 | 6.6667 | 86 | 562 | 33 | 0 | 123 | 70.4274 |
32 | 42.9868 | 42.2311 | 50.0244 | 22.5000 | 37.5000 | 268 | 2656 | 92 | 1 | 179 | 75.5047 |