Challenge and Dataset on Large-scale Human-centric Video Analysis in Complex Events (HiEve) |
Utilize Re-ID Feature, classification and IOP
25fps
9
Benchmark
performance:
MOTA | w_MOTA | IDF1 | MT | ML | FP | FN | ID_Sw | ID_Sw_DT | Frag | MOTP |
---|---|---|---|---|---|---|---|---|---|---|
47.8048 | 42.5205 | 49.8188 | 25.2886 | 30.2204 | 3847 | 30862 | 1658 | 92 | 2625 | 76.8539 |
Detailed
performance:
Video ID | MOTA | w_MOTA | IDF1 | MT | ML | FP | FN | ID_Sw | ID_Sw_DT | Frag | MOTP |
---|---|---|---|---|---|---|---|---|---|---|---|
20 | 78.1140 | 75.7654 | 69.2386 | 73.4694 | 6.1224 | 599 | 1934 | 78 | 7 | 205 | 79.0710 |
21 | 25.0249 | 21.0249 | 37.1297 | 0.0000 | 26.6667 | 107 | 594 | 51 | 1 | 62 | 67.0499 |
22 | 17.1011 | 10.5147 | 19.1879 | 3.8835 | 32.0388 | 726 | 6767 | 554 | 16 | 642 | 69.2210 |
23 | 82.4487 | 77.0880 | 61.6482 | 71.4286 | 14.2857 | 81 | 640 | 66 | 6 | 116 | 81.4701 |
24 | 9.9620 | -1.6624 | 17.6830 | 2.4316 | 63.5258 | 600 | 11243 | 250 | 39 | 345 | 69.6956 |
25 | 65.5138 | 60.2480 | 78.5812 | 39.6552 | 0.0000 | 441 | 1590 | 63 | 8 | 159 | 77.6421 |
26 | 45.1075 | 44.0325 | 37.7352 | 29.4118 | 23.5294 | 270 | 1705 | 67 | 1 | 149 | 77.2320 |
27 | 77.6816 | 72.1698 | 56.8944 | 66.1290 | 3.2258 | 166 | 784 | 184 | 7 | 295 | 78.3273 |
28 | 43.7426 | 35.8468 | 42.1100 | 30.0000 | 20.0000 | 369 | 980 | 76 | 5 | 149 | 72.1860 |
29 | 56.0125 | 54.2083 | 49.1209 | 32.0000 | 20.0000 | 104 | 824 | 56 | 1 | 113 | 75.3105 |
30 | 57.0852 | 57.0852 | 64.7148 | 26.6667 | 2.2222 | 65 | 718 | 68 | 0 | 104 | 77.6132 |
31 | 75.9074 | 75.9074 | 71.6270 | 73.3333 | 4.4444 | 51 | 427 | 53 | 0 | 107 | 78.8813 |
32 | 42.9868 | 42.2311 | 50.0244 | 22.5000 | 37.5000 | 268 | 2656 | 92 | 1 | 179 | 75.5047 |