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 |
80.50 % |
78.45 % |
83.24 % |
82.06 % |
87.27 % |
86.53 % |
90.67 % |
88.04 % |
| Benchmark |
TP |
FP |
FN |
| CAR |
31771 |
2621 |
571 |
| Benchmark |
MOTA |
MOTP |
MODA |
IDSW |
sMOTA |
| CAR |
90.37 % |
86.80 % |
90.72 % |
119 |
78.18 % |
| Benchmark |
MT rate |
PT rate |
ML rate |
FRAG |
| CAR |
84.77 % |
7.08 % |
8.15 % |
91 |
| Benchmark |
# Dets |
# Tracks |
| CAR |
32342 |
730 |
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.
