From all 29 test sequences, our benchmark computes the HOTA tracking metrics (HOTA, DetA, AssA, DetRe, DetPr, AssRe, AssPr, LocA) [1] as well as the CLEARMOT, MT/PT/ML, identity switches, and fragmentation [2,3] metrics.
The tables below show all of these metrics.
Benchmark |
HOTA |
DetA |
AssA |
DetRe |
DetPr |
AssRe |
AssPr |
LocA |
CAR |
73.47 % |
75.63 % |
72.07 % |
80.11 % |
84.55 % |
74.83 % |
88.82 % |
86.52 % |
Benchmark |
TP |
FP |
FN |
CAR |
31700 |
2692 |
888 |
Benchmark |
MOTA |
MOTP |
MODA |
IDSW |
sMOTA |
CAR |
88.88 % |
84.97 % |
89.59 % |
246 |
75.03 % |
Benchmark |
MT rate |
PT rate |
ML rate |
FRAG |
CAR |
82.15 % |
15.38 % |
2.46 % |
223 |
Benchmark |
# Dets |
# Tracks |
CAR |
32588 |
954 |
This table as LaTeX
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[1] J. Luiten, A. Os̆ep, P. Dendorfer, P. Torr, A. Geiger, L. Leal-Taixé, B. Leibe:
HOTA: A Higher Order Metric for Evaluating Multi-object Tracking. IJCV 2020.
[2] K. Bernardin, R. Stiefelhagen:
Evaluating Multiple Object Tracking Performance: The CLEAR MOT Metrics. JIVP 2008.
[3] Y. Li, C. Huang, R. Nevatia:
Learning to associate: HybridBoosted multi-target tracker for crowded scene. CVPR 2009.