Method

StableMOT [StableMOT]
[Anonymous Submission]

Submitted on 10 Mar. 2023 08:56 by
[Anonymous Submission]

Running time:3e-4 s
Environment:1 core @ 2.0 Ghz (C/C++)

Method Description:
TBD
Parameters:
TBD
Latex Bibtex:

Detailed Results

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 80.68 % 77.57 % 84.70 % 82.73 % 85.69 % 87.67 % 91.54 % 88.27 %

Benchmark TP FP FN
CAR 31903 2489 1303

Benchmark MOTA MOTP MODA IDSW sMOTA
CAR 88.91 % 87.15 % 88.97 % 21 76.99 %

Benchmark MT rate PT rate ML rate FRAG
CAR 78.61 % 18.61 % 2.77 % 360

Benchmark # Dets # Tracks
CAR 33206 735

This table as LaTeX

This figure as: png pdf

[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.


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