Challenge and Dataset on Large-scale Human-centric Video Analysis in Complex Events (HiEve) |
Sparse Graph Tracker trained on only Hieve dataset
13.4
2
Benchmark
performance:
MOTA | w_MOTA | IDF1 | MT | ML | FP | FN | ID_Sw | ID_Sw_DT | Frag | MOTP |
---|---|---|---|---|---|---|---|---|---|---|
47.2020 | 41.9751 | 53.6595 | 24.0294 | 28.7513 | 4699 | 30727 | 1361 | 91 | 2299 | 75.0732 |
Detailed
performance:
Video ID | MOTA | w_MOTA | IDF1 | MT | ML | FP | FN | ID_Sw | ID_Sw_DT | Frag | MOTP |
---|---|---|---|---|---|---|---|---|---|---|---|
20 | 76.7477 | 74.3991 | 75.4893 | 79.5918 | 8.1633 | 895 | 1814 | 65 | 7 | 219 | 76.8991 |
21 | 11.9641 | 7.9641 | 16.8209 | 0.0000 | 63.3333 | 22 | 839 | 22 | 1 | 30 | 65.9961 |
22 | 16.4314 | 10.6683 | 21.6862 | 7.7670 | 46.6019 | 414 | 7433 | 265 | 14 | 464 | 70.6031 |
23 | 85.5263 | 81.0590 | 63.5497 | 78.5714 | 7.1429 | 169 | 432 | 48 | 5 | 65 | 78.3559 |
24 | 10.7736 | -2.3412 | 23.1214 | 4.5593 | 50.1520 | 1265 | 10308 | 411 | 44 | 517 | 67.0532 |
25 | 54.1996 | 50.2503 | 67.1086 | 14.3678 | 1.1494 | 376 | 2262 | 143 | 6 | 261 | 72.3085 |
26 | 47.5000 | 45.3500 | 49.3761 | 35.2941 | 29.4118 | 240 | 1669 | 44 | 2 | 113 | 75.4404 |
27 | 81.5981 | 77.6611 | 75.1937 | 85.4839 | 1.6129 | 309 | 534 | 92 | 5 | 143 | 79.4511 |
28 | 35.0178 | 27.1220 | 39.4844 | 10.0000 | 35.0000 | 358 | 1235 | 53 | 5 | 108 | 68.8580 |
29 | 43.9875 | 42.1833 | 45.0133 | 40.0000 | 20.0000 | 237 | 961 | 55 | 1 | 92 | 74.9609 |
30 | 56.3792 | 56.3792 | 63.0441 | 24.4444 | 2.2222 | 36 | 763 | 66 | 0 | 88 | 78.2852 |
31 | 82.1234 | 82.1234 | 84.1270 | 91.1111 | 2.2222 | 186 | 184 | 24 | 0 | 50 | 76.0878 |
32 | 51.6446 | 50.8889 | 53.4497 | 20.0000 | 37.5000 | 192 | 2293 | 73 | 1 | 149 | 74.0877 |