ACM MM Grand Challenge on

Large-scale Human-centric Video Analysis in Complex Events


Short Name: FCS-Track
Complete name: Feature-classification-spatial-Track
Description: Utilize Re-ID Feature, classification and IOP
Runtime: 25fps Hz
Submissions: 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 Name MOTA w_MOTA IDF1 MT ML FP FN ID_Sw ID_Sw_DT Frag MOTP
hm_in_waiting_hall (ID:20) 78.1140 75.7654 69.2386 73.4694 6.1224 599 1934 78 7 205 79.0710
hm_in_bus (ID:21) 25.0249 21.0249 37.1297 0.0000 26.6667 107 594 51 1 62 67.0499
hm_in_dining_room2 (ID:22) 17.1011 10.5147 19.1879 3.8835 32.0388 726 6767 554 16 642 69.2210
hm_in_lab2 (ID:23) 82.4487 77.0880 61.6482 71.4286 14.2857 81 640 66 6 116 81.4701
hm_in_subway_station (ID:24) 9.9620 -1.6624 17.6830 2.4316 63.5258 600 11243 250 39 345 69.6956
hm_in_passage (ID:25) 65.5138 60.2480 78.5812 39.6552 0.0000 441 1590 63 8 159 77.6421
hm_in_fighting4 (ID:26) 45.1075 44.0325 37.7352 29.4118 23.5294 270 1705 67 1 149 77.2320
hm_in_shopping_mall3 (ID:27) 77.6816 72.1698 56.8944 66.1290 3.2258 166 784 184 7 295 78.3273
hm_in_restaurant (ID:28) 43.7426 35.8468 42.1100 30.0000 20.0000 369 980 76 5 149 72.1860
hm_in_accident (ID:29) 56.0125 54.2083 49.1209 32.0000 20.0000 104 824 56 1 113 75.3105
hm_in_stair3 (ID:30) 57.0852 57.0852 64.7148 26.6667 2.2222 65 718 68 0 104 77.6132
hm_in_crossroad (ID:31) 75.9074 75.9074 71.6270 73.3333 4.4444 51 427 53 0 107 78.8813
hm_in_robbery (ID:32) 42.9868 42.2311 50.0244 22.5000 37.5000 268 2656 92 1 179 75.5047