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 |
81.06 % |
78.08 % |
84.78 % |
82.13 % |
86.64 % |
88.33 % |
90.47 % |
87.89 % |
| Benchmark |
TP |
FP |
FN |
| CAR |
31837 |
2555 |
764 |
| Benchmark |
MOTA |
MOTP |
MODA |
IDSW |
sMOTA |
| CAR |
90.29 % |
86.64 % |
90.35 % |
22 |
77.92 % |
| Benchmark |
MT rate |
PT rate |
ML rate |
FRAG |
| CAR |
86.15 % |
5.54 % |
8.31 % |
117 |
| Benchmark |
# Dets |
# Tracks |
| CAR |
32601 |
635 |
This table as LaTeX
|
[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.
