Method

Near-Online Multi-target Tracking [NOMT*]


Submitted on 25 Mar. 2015 00:46 by
Wongun Choi (NEC Laboratories)

Running time:0.09 s
Environment:16 cores @ 2.5 Ghz (C++)

Method Description:
* use Regionlet detetions available at:
http://www.xiaoyumu.com/s/data/kitti-tracking.zip
Parameters:
N/A
Latex Bibtex:
@article{Choi2015ICCV,
author = {Choi, Wongun},
title = {Near-Online Multi-target Tracking with
Aggregated Local Flow Descriptor
},
journal= {ICCV},
year={2015},
}

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 64.77 % 63.08 % 67.04 % 66.92 % 79.28 % 70.38 % 83.14 % 82.22 %
PEDESTRIAN 40.91 % 37.52 % 44.79 % 40.94 % 65.86 % 50.53 % 65.94 % 75.94 %

Benchmark TP FP FN
CAR 27968 6424 1064
PEDESTRIAN 12717 10433 1676

Benchmark MOTA MOTP MODA IDSW sMOTA
CAR 77.91 % 79.84 % 78.23 % 108 61.52 %
PEDESTRIAN 47.08 % 71.21 % 47.69 % 141 31.27 %

Benchmark MT rate PT rate ML rate FRAG
CAR 58.46 % 27.54 % 14.00 % 143
PEDESTRIAN 27.84 % 37.46 % 34.71 % 512

Benchmark # Dets # Tracks
CAR 29032 666
PEDESTRIAN 14393 279

This table as LaTeX

This figure as: png pdf

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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