Method

ForeMOT [ForeMOT]
TBA

Submitted on 27 May. 2026 13:28 by
zhiqiang yue (southeast university)

Running time:0.01 s
Environment:>8 cores @ 3.5 Ghz (C/C++)

Method Description:
TBA
Parameters:
TBA
Latex Bibtex:
TBA

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 81.87 % 79.21 % 85.32 % 84.83 % 85.14 % 88.43 % 91.16 % 87.98 %

Benchmark TP FP FN
CAR 32865 1527 1403

Benchmark MOTA MOTP MODA IDSW sMOTA
CAR 91.41 % 86.70 % 91.48 % 26 78.70 %

Benchmark MT rate PT rate ML rate FRAG
CAR 87.23 % 9.85 % 2.92 % 103

Benchmark # Dets # Tracks
CAR 34268 706

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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