Method

Polycepta[on] [Polycepta]
[Anonymous Submission]

Submitted on 16 Feb. 2026 15:52 by
[Anonymous Submission]

Running time:0.1 s
Environment:1 core @ 2.5 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 82.05 % 80.16 % 84.56 % 84.51 % 86.88 % 87.54 % 90.98 % 88.20 %

Benchmark TP FP FN
CAR 32628 1764 823

Benchmark MOTA MOTP MODA IDSW sMOTA
CAR 92.27 % 86.94 % 92.48 % 73 79.87 %

Benchmark MT rate PT rate ML rate FRAG
CAR 88.77 % 7.69 % 3.54 % 412

Benchmark # Dets # Tracks
CAR 33451 673

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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