Method

Confidence Aware Pedestrian Tracking [on][st] [CAT]


Submitted on 3 Jan. 2019 19:01 by
uyen Nguyen ( Institut für Photogrammetrie und GeoInformation, Leibniz Universtät Hannover)

Running time:
Environment:

Method Description:
Parameters:
Latex Bibtex:
@Article{isprs-annals-IV-2-W5-53-2019,
AUTHOR = {Nguyen, U. and Rottensteiner, F. and
Heipke, C.},
TITLE = {CONFIDENCE-AWARE PEDESTRIAN TRACKING
USING A STEREO CAMERA},
JOURNAL = {ISPRS Annals of Photogrammetry,
Remote Sensing and Spatial Information
Sciences},
VOLUME = {IV-2/W5},
YEAR = {2019},
PAGES = {53--60},
URL = {https://www.isprs-ann-photogramm-remote-
sens-spatial-inf-sci.net/IV-2-W5/53/2019/},
DOI = {10.5194/isprs-annals-IV-2-W5-53-2019}
}

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
PEDESTRIAN 45.65 % 42.43 % 49.55 % 45.89 % 67.79 % 53.20 % 71.97 % 75.90 %

Benchmark TP FP FN
PEDESTRIAN 13951 9199 1722

Benchmark MOTA MOTP MODA IDSW sMOTA
PEDESTRIAN 51.96 % 71.44 % 52.83 % 201 34.74 %

Benchmark MT rate PT rate ML rate FRAG
PEDESTRIAN 34.71 % 40.89 % 24.40 % 619

Benchmark # Dets # Tracks
PEDESTRIAN 15673 515

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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