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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) |
LZ
1min
1
Benchmark
performance:
| MOTA | w_MOTA | IDF1 | MT | ML | FP | FN | ID_Sw | ID_Sw_DT | Frag | MOTP |
|---|---|---|---|---|---|---|---|---|---|---|
| 38.6250 | 33.4556 | 44.5367 | 16.9990 | 48.0588 | 5481 | 35739 | 1543 | 90 | 2439 | 75.9213 |
Detailed
performance:
| Video ID | MOTA | w_MOTA | IDF1 | MT | ML | FP | FN | ID_Sw | ID_Sw_DT | Frag | MOTP |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 20 | 68.2062 | 65.8576 | 68.0004 | 53.0612 | 10.2041 | 727 | 2993 | 73 | 7 | 246 | 77.6271 |
| 21 | 1.2961 | -2.7039 | 24.9527 | 3.3333 | 33.3333 | 253 | 672 | 65 | 1 | 75 | 65.4071 |
| 22 | 15.6691 | 9.4944 | 20.0072 | 6.7961 | 33.9806 | 1077 | 6586 | 523 | 15 | 655 | 70.0729 |
| 23 | 86.3069 | 81.8396 | 64.3088 | 71.4286 | 14.2857 | 128 | 444 | 42 | 5 | 99 | 80.0124 |
| 24 | 10.8704 | -1.3502 | 20.1979 | 1.2158 | 57.7508 | 750 | 10838 | 383 | 41 | 465 | 68.8762 |
| 25 | -13.9987 | -15.9734 | 1.9983 | 0.0000 | 100.0000 | 940 | 5978 | 4 | 3 | 5 | 58.9342 |
| 26 | 44.0323 | 41.8823 | 44.3042 | 41.1765 | 35.2941 | 464 | 1566 | 52 | 2 | 118 | 79.6604 |
| 27 | 79.5513 | 73.2521 | 67.7578 | 69.3548 | 4.8387 | 147 | 778 | 114 | 8 | 179 | 79.1464 |
| 28 | 40.7027 | 31.2278 | 40.3237 | 20.0000 | 40.0000 | 289 | 1154 | 59 | 6 | 107 | 69.3277 |
| 29 | 45.5074 | 43.7032 | 43.5093 | 36.0000 | 24.0000 | 300 | 853 | 66 | 1 | 120 | 70.9815 |
| 30 | 44.9823 | 44.9823 | 55.2459 | 13.3333 | 4.4444 | 128 | 901 | 62 | 0 | 99 | 74.2220 |
| 31 | 77.9946 | 77.9946 | 78.2088 | 82.2222 | 4.4444 | 116 | 348 | 21 | 0 | 78 | 78.0090 |
| 32 | 45.7656 | 45.0099 | 48.4841 | 20.0000 | 37.5000 | 162 | 2628 | 79 | 1 | 193 | 76.5919 |