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 commonly used tracking metrics CLEARMOT, MT/PT/ML, identity switches, and fragmentations [1,2]. The tables below show all of these metrics.


Benchmark MOTA MOTP MODA MODP
CAR 88.98 % 87.11 % 89.05 % 89.75 %

Benchmark recall precision F1 TP FP FN FAR #objects #trajectories
CAR 93.72 % 96.62 % 95.15 % 36930 1290 2476 11.60 % 42752 885

Benchmark MT PT ML IDS FRAG
CAR 78.77 % 18.31 % 2.92 % 24 324

This table as LaTeX


[1] K. Bernardin, R. Stiefelhagen: Evaluating Multiple Object Tracking Performance: The CLEAR MOT Metrics. JIVP 2008.
[2] Y. Li, C. Huang, R. Nevatia: Learning to associate: HybridBoosted multi-target tracker for crowded scene. CVPR 2009.


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