Challenge and Dataset on Large-scale Human-centric Video Analysis in Complex Events (HiEve) |
try4
try4
2
Benchmark
performance:
MOTA | w_MOTA | IDF1 | MT | ML | FP | FN | ID_Sw | ID_Sw_DT | Frag | MOTP |
---|---|---|---|---|---|---|---|---|---|---|
-38.3222 | -40.3325 | 7.4716 | 0.4197 | 76.8101 | 32470 | 63196 | 710 | 35 | 1059 | 37.6021 |
Detailed
performance:
Video ID | MOTA | w_MOTA | IDF1 | MT | ML | FP | FN | ID_Sw | ID_Sw_DT | Frag | MOTP |
---|---|---|---|---|---|---|---|---|---|---|---|
20 | -81.4082 | -81.4082 | 4.6986 | 0.0000 | 93.8776 | 10388 | 11220 | 34 | 0 | 89 | 56.4763 |
21 | -20.7378 | -20.7378 | 0.0000 | 0.0000 | 100.0000 | 208 | 1003 | 0 | 0 | 0 | 0.0000 |
22 | 16.3696 | 9.3716 | 17.1061 | 3.8835 | 50.4854 | 378 | 7352 | 388 | 17 | 514 | 70.4123 |
23 | -78.2114 | -82.6787 | 4.4352 | 0.0000 | 92.8571 | 3805 | 4160 | 26 | 5 | 56 | 60.0469 |
24 | -20.9590 | -20.9590 | 0.0862 | 0.0000 | 100.0000 | 2815 | 13431 | 0 | 0 | 0 | 0.0000 |
25 | 38.6364 | 33.3706 | 46.0938 | 0.0000 | 5.7471 | 293 | 3208 | 225 | 8 | 346 | 69.7913 |
26 | -55.3495 | -55.3495 | 0.0000 | 0.0000 | 100.0000 | 2059 | 3720 | 0 | 0 | 0 | 0.0000 |
27 | -85.3572 | -89.2942 | 0.9401 | 0.0000 | 100.0000 | 4405 | 4994 | 19 | 5 | 10 | 60.5779 |
28 | -49.1117 | -49.1117 | 0.2112 | 0.0000 | 100.0000 | 1249 | 2528 | 0 | 0 | 1 | 55.9758 |
29 | -61.1086 | -61.1086 | 0.0000 | 0.0000 | 100.0000 | 1367 | 2237 | 0 | 0 | 0 | 0.0000 |
30 | -56.3288 | -56.3288 | 0.0000 | 0.0000 | 100.0000 | 1117 | 1983 | 0 | 0 | 0 | 0.0000 |
31 | -86.9782 | -86.9782 | 1.6152 | 0.0000 | 97.7778 | 1957 | 2155 | 9 | 0 | 18 | 56.3206 |
32 | -44.4802 | -44.4802 | 1.1533 | 0.0000 | 97.5000 | 2429 | 5205 | 9 | 0 | 25 | 59.2265 |