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Challenge and Dataset on Large-scale Human-centric Video Analysis in Complex Events (HiEve) |
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Challenge and Dataset on Large-scale Human-centric Video Analysis in Complex Events (HiEve) |
tracks
little
1
Benchmark
performance:
| MOTA | w_MOTA | IDF1 | MT | ML | FP | FN | ID_Sw | ID_Sw_DT | Frag | MOTP |
|---|---|---|---|---|---|---|---|---|---|---|
| -9.7983 | -14.3934 | 17.9989 | 2.8332 | 60.1259 | 24508 | 48373 | 3621 | 80 | 3865 | 67.7544 |
Detailed
performance:
| Video ID | MOTA | w_MOTA | IDF1 | MT | ML | FP | FN | ID_Sw | ID_Sw_DT | Frag | MOTP |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 20 | 9.0612 | 7.3836 | 26.5928 | 22.4490 | 46.9388 | 5091 | 5313 | 445 | 5 | 558 | 69.6890 |
| 21 | 0.3988 | -3.6012 | 9.3023 | 0.0000 | 73.3333 | 77 | 879 | 43 | 1 | 35 | 64.4431 |
| 22 | 2.2458 | -3.9289 | 12.5720 | 1.9417 | 47.5728 | 1301 | 7352 | 836 | 15 | 765 | 64.4496 |
| 23 | -25.6690 | -31.0297 | 17.2828 | 0.0000 | 42.8571 | 2517 | 2991 | 127 | 6 | 272 | 65.0162 |
| 24 | -21.1749 | -29.8187 | 6.0538 | 0.3040 | 75.6839 | 3783 | 11847 | 645 | 29 | 544 | 60.3977 |
| 25 | -27.4374 | -32.7032 | 14.4175 | 0.0000 | 56.8966 | 2590 | 4871 | 277 | 8 | 257 | 61.8148 |
| 26 | -39.7043 | -41.8543 | 5.7471 | 0.0000 | 88.2353 | 1803 | 3327 | 67 | 2 | 101 | 62.5022 |
| 27 | -7.4592 | -12.9710 | 26.7353 | 8.0645 | 30.6452 | 2497 | 2560 | 403 | 7 | 452 | 71.0780 |
| 28 | 10.4224 | 2.5266 | 24.3868 | 5.0000 | 35.0000 | 613 | 1439 | 217 | 5 | 210 | 68.6279 |
| 29 | -4.6491 | -6.4533 | 27.4015 | 4.0000 | 32.0000 | 829 | 1420 | 92 | 1 | 146 | 70.2673 |
| 30 | -12.9602 | -12.9602 | 15.5852 | 0.0000 | 35.5556 | 644 | 1466 | 130 | 0 | 132 | 65.8702 |
| 31 | -77.6316 | -77.6316 | 8.2880 | 4.4444 | 93.3333 | 1933 | 1925 | 57 | 0 | 54 | 71.4312 |
| 32 | 22.5898 | 21.8341 | 31.8737 | 10.0000 | 45.0000 | 830 | 2983 | 282 | 1 | 339 | 71.6083 |