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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) |
grid based tracking with shortcut
1000
5
Benchmark
performance:
| MOTA | w_MOTA | IDF1 | MT | ML | FP | FN | ID_Sw | ID_Sw_DT | Frag | MOTP |
|---|---|---|---|---|---|---|---|---|---|---|
| 36.5597 | 32.1944 | 34.0486 | 18.2581 | 37.9853 | 4868 | 36654 | 2680 | 76 | 2940 | 77.8966 |
Detailed
performance:
| Video ID | MOTA | w_MOTA | IDF1 | MT | ML | FP | FN | ID_Sw | ID_Sw_DT | Frag | MOTP |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 20 | 52.4225 | 51.0804 | 38.9674 | 48.9796 | 16.3265 | 1587 | 3716 | 373 | 4 | 290 | 78.0086 |
| 21 | 9.0728 | 5.0728 | 18.8708 | 0.0000 | 53.3333 | 80 | 793 | 39 | 1 | 70 | 73.7115 |
| 22 | 6.9125 | 0.7378 | 11.5484 | 0.9709 | 37.8641 | 1121 | 7044 | 871 | 15 | 801 | 67.7441 |
| 23 | 56.8912 | 51.5305 | 36.4668 | 35.7143 | 21.4286 | 94 | 1658 | 181 | 6 | 155 | 79.2218 |
| 24 | 8.4580 | 0.4103 | 8.7228 | 1.5198 | 73.2523 | 302 | 11779 | 214 | 27 | 303 | 75.2218 |
| 25 | 62.7470 | 57.4812 | 63.7090 | 27.0115 | 2.8736 | 135 | 2023 | 104 | 8 | 301 | 87.1842 |
| 26 | 42.3656 | 41.2906 | 37.1761 | 29.4118 | 29.4118 | 196 | 1885 | 63 | 1 | 183 | 81.4847 |
| 27 | 68.4905 | 61.4039 | 37.1877 | 58.0645 | 4.8387 | 293 | 968 | 340 | 9 | 271 | 77.7713 |
| 28 | 38.2550 | 31.9384 | 45.7433 | 10.0000 | 40.0000 | 179 | 1310 | 75 | 4 | 147 | 70.8932 |
| 29 | 40.8583 | 39.0541 | 36.8808 | 28.0000 | 20.0000 | 415 | 811 | 97 | 1 | 107 | 74.4663 |
| 30 | 43.4695 | 43.4695 | 39.0172 | 20.0000 | 2.2222 | 168 | 756 | 197 | 0 | 130 | 75.5540 |
| 31 | 63.5209 | 63.5209 | 55.1150 | 55.5556 | 4.4444 | 194 | 516 | 94 | 0 | 76 | 76.1537 |
| 32 | 33.2514 | 33.2514 | 44.4231 | 20.0000 | 65.0000 | 104 | 3395 | 32 | 0 | 106 | 79.6214 |