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A Detailed Study of the Association Task in Tracking-by-Detection-based Multi-Person Tracking

Stadler, Daniel

Abstract (englisch):

Many multi-person trackers follow the tracking-by-detection paradigm applying a person detector in each frame and linking detections of the same target to form tracks in the association task. While the basic concept is the same among these methods, various motion models, distance metrics to measure the similarity of targets, and matching strategies are used. This makes it difficult to compare different methods and also to assess the influence of single tracking components on the final performance. For these reasons, all parts of the association task are thoroughly investigated in this study. Starting with a simple baseline which is consequently improved with the help of experimental results, a strong tracking-by-detection-based framework is developed that achieves state-of-the-art performance on two multi-person tracking benchmarks.

Verlagsausgabe §
DOI: 10.5445/IR/1000161972
Veröffentlicht am 11.09.2023
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Anthropomatik und Robotik (IAR)
Publikationstyp Proceedingsbeitrag
Publikationsjahr 2023
Sprache Englisch
Identifikator ISBN: 978-3-7315-1304-9
ISSN: 1863-6489
KITopen-ID: 1000161972
Erschienen in Proceedings of the 2022 Joint Workshop of Fraunhofer IOSB and Institute for Anthropomatics, Vision and Fusion Laboratory. Ed.: J. Beyerer
Verlag KIT Scientific Publishing
Seiten 59-85
Serie Karlsruher Schriften zur Anthropomatik / Lehrstuhl für Interaktive Echtzeitsysteme, Karlsruher Institut für Technologie ; Fraunhofer-Inst. für Optronik, Systemtechnik und Bildauswertung IOSB Karlsruhe ; 62
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