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 |
73.39 % |
74.85 % |
72.58 % |
80.19 % |
83.11 % |
75.56 % |
87.93 % |
86.15 % |
Benchmark |
TP |
FP |
FN |
CAR |
31839 |
2553 |
1342 |
Benchmark |
MOTA |
MOTP |
MODA |
IDSW |
sMOTA |
CAR |
87.92 % |
84.50 % |
88.67 % |
261 |
73.57 % |
Benchmark |
MT rate |
PT rate |
ML rate |
FRAG |
CAR |
84.61 % |
13.08 % |
2.31 % |
228 |
Benchmark |
# Dets |
# Tracks |
CAR |
33181 |
1032 |
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.