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 |
71.00 % |
73.62 % |
69.14 % |
78.86 % |
83.97 % |
72.34 % |
88.70 % |
86.93 % |
Benchmark |
TP |
FP |
FN |
CAR |
31039 |
3353 |
1260 |
Benchmark |
MOTA |
MOTP |
MODA |
IDSW |
sMOTA |
CAR |
85.48 % |
85.31 % |
86.59 % |
381 |
72.22 % |
Benchmark |
MT rate |
PT rate |
ML rate |
FRAG |
CAR |
78.15 % |
19.23 % |
2.62 % |
732 |
Benchmark |
# Dets |
# Tracks |
CAR |
32299 |
1208 |
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.