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 |
81.90 % |
79.92 % |
84.59 % |
85.19 % |
85.50 % |
87.95 % |
90.61 % |
87.87 % |
Benchmark |
TP |
FP |
FN |
CAR |
33065 |
1327 |
1204 |
Benchmark |
MOTA |
MOTP |
MODA |
IDSW |
sMOTA |
CAR |
92.54 % |
86.59 % |
92.64 % |
34 |
79.65 % |
Benchmark |
MT rate |
PT rate |
ML rate |
FRAG |
CAR |
91.85 % |
6.15 % |
2.00 % |
91 |
Benchmark |
# Dets |
# Tracks |
CAR |
34269 |
715 |
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.