MOTChallenge: A Benchmark for Single-Camera Multiple Target Tracking

Standardized benchmarks have been crucial in pushing the performance of computer vision algorithms, especially since the advent of deep learning. Although leaderboards should not be over-claimed, they often provide the most objective measure of performance and are therefore important guides for rese...

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Bibliographic Details
Published in:	International journal of computer vision Vol. 129; no. 4; pp. 845 - 881
Main Authors:	Dendorfer, Patrick, Os̆ep, Aljos̆a, Milan, Anton, Schindler, Konrad, Cremers, Daniel, Reid, Ian, Roth, Stefan, Leal-Taixé, Laura
Format:	Journal Article
Language:	English
Published:	New York Springer US 01.04.2021 Springer Springer Nature B.V
Subjects:	Algorithms Artificial Intelligence Autonomous cars Benchmarks Cameras Computer Imaging Computer Science Computer vision Error analysis Image Processing and Computer Vision Labels Machine learning Machine vision Multiple target tracking Pattern Recognition Pattern Recognition and Graphics Pedestrians Performance evaluation Special Issue on Performance Evaluation in Computer Vision Visibility Vision Evaluation Computer vision MOTA MOTChallenge Multi-object-tracking
ISSN:	0920-5691, 1573-1405
Online Access:	Get full text
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