Human in Events

Challenge and Dataset on Large-scale Human-centric Video Analysis in Complex Events (HiEve)


Short Name: IQHAT_v1
Complete name: Identity-Quantity Harmonic Multi-Object Tracking
Description: n/a
Runtime: 14 Hz
Submissions: 3

Benchmark
performance:

MOTA w_MOTA IDF1 MT ML FP FN ID_Sw ID_Sw_DT Frag MOTP
53.4166 48.7641 57.4081 28.7513 28.7513 4430 27016 1011 81 1639 77.1049

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) 73.0847 72.4137 80.3148 65.3061 8.1633 1351 1833 27 2 142 78.4779
hm_in_bus (ID:21) 15.2542 11.2542 31.6035 0.0000 26.6667 242 533 75 1 62 66.1738
hm_in_dining_room2 (ID:22) 34.4803 29.1289 33.7828 18.4466 33.0097 646 5449 265 13 284 72.3027
hm_in_lab2 (ID:23) 81.8912 76.5305 55.8994 71.4286 14.2857 105 640 67 6 128 80.7410
hm_in_subway_station (ID:24) 16.5810 5.8507 25.6811 3.9514 59.2705 291 10783 130 36 226 73.2069
hm_in_passage (ID:25) 54.6113 50.0038 71.3115 30.4598 0.0000 849 1769 138 7 172 73.2221
hm_in_fighting4 (ID:26) 60.3495 58.1995 44.5594 35.2941 23.5294 86 1341 48 2 103 79.0237
hm_in_shopping_mall3 (ID:27) 82.5034 79.3538 74.5078 82.2581 6.4516 214 624 51 4 135 81.2809
hm_in_restaurant (ID:28) 57.3233 46.2692 50.1410 20.0000 40.0000 117 927 37 7 79 74.8618
hm_in_accident (ID:29) 67.3670 65.5628 59.5918 68.0000 12.0000 68 622 40 1 84 79.6657
hm_in_stair3 (ID:30) 59.2032 59.2032 62.8824 33.3333 2.2222 102 668 39 0 39 77.5117
hm_in_crossroad (ID:31) 89.5644 89.5644 92.6612 93.3333 2.2222 40 183 7 0 33 80.8125
hm_in_robbery (ID:32) 61.2476 59.7362 56.9854 30.0000 25.0000 319 1644 87 2 152 75.1955