Challenge and Dataset on Large-scale Human-centric Video Analysis in Complex Events (HiEve) |
FMMot
19.9fps
1
Benchmark
performance:
MOTA | w_MOTA | IDF1 | MT | ML | FP | FN | ID_Sw | ID_Sw_DT | Frag | MOTP |
---|---|---|---|---|---|---|---|---|---|---|
29.2271 | 25.5511 | 35.4533 | 7.9748 | 62.3295 | 1044 | 47466 | 801 | 64 | 2138 | 76.8186 |
Detailed
performance:
Video ID | MOTA | w_MOTA | IDF1 | MT | ML | FP | FN | ID_Sw | ID_Sw_DT | Frag | MOTP |
---|---|---|---|---|---|---|---|---|---|---|---|
20 | 47.5356 | 45.1870 | 48.2349 | 24.4898 | 26.5306 | 468 | 5661 | 130 | 7 | 404 | 78.3306 |
21 | 1.2961 | 1.2961 | 2.7505 | 0.0000 | 100.0000 | 0 | 988 | 2 | 0 | 7 | 73.2935 |
22 | 7.2216 | 3.1051 | 10.0576 | 0.0000 | 75.7282 | 114 | 8770 | 122 | 10 | 234 | 72.1715 |
23 | 80.6423 | 75.2816 | 67.2670 | 64.2857 | 14.2857 | 36 | 786 | 46 | 6 | 118 | 77.0282 |
24 | 4.6311 | -1.3302 | 8.2171 | 0.3040 | 88.1459 | 110 | 12636 | 63 | 20 | 149 | 69.1889 |
25 | 14.2951 | 9.0293 | 21.9315 | 0.0000 | 59.7701 | 67 | 5025 | 112 | 8 | 233 | 67.7987 |
26 | 35.0269 | 32.8769 | 31.0875 | 11.7647 | 41.1765 | 6 | 2370 | 41 | 2 | 120 | 77.3659 |
27 | 67.5654 | 63.6284 | 65.8717 | 29.0323 | 9.6774 | 26 | 1550 | 72 | 5 | 340 | 81.1068 |
28 | 9.4355 | 1.5397 | 14.1060 | 0.0000 | 75.0000 | 103 | 2149 | 42 | 5 | 91 | 67.7078 |
29 | 25.7488 | 25.7488 | 29.5829 | 0.0000 | 44.0000 | 6 | 1627 | 28 | 0 | 104 | 80.5331 |
30 | 30.9632 | 30.9632 | 33.1711 | 0.0000 | 15.5556 | 3 | 1298 | 68 | 0 | 121 | 77.1308 |
31 | 73.1397 | 73.1397 | 81.6347 | 71.1111 | 6.6667 | 41 | 534 | 17 | 0 | 96 | 77.1022 |
32 | 20.7183 | 19.9626 | 29.3670 | 5.0000 | 70.0000 | 64 | 4072 | 58 | 1 | 121 | 72.1617 |