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Authors: Ruixing Yu 1 ; Bing Zhu 2 ; Wenfeng Li 3 and Xianglong Kong 3

Affiliations: 1 Northwestern Polytechnical University, China ; 2 Xian Shiyou University, China ; 3 Shanghai Institute of Satellite Engineering, China

ISBN: 978-989-758-198-4

Keyword(s): Multi-person Tracking, Occlusion, Reliability of Tracklets, Particle Filter.

Related Ontology Subjects/Areas/Topics: Image Processing ; Informatics in Control, Automation and Robotics ; Robotics and Automation

Abstract: A multi-person tracking method is proposed concerning how to conquer the difficulties such as occlusion and changes in appearance which makes algorithm hard to get the correct positions of object. First, we indicate whether the target is blocked or not, through computing the Reliability of Tracklets (RT) based on the length of tracklets, appearance affinity and the size. Then, we propose a “correct” observation sample selection method and only update the weights of particle filter when the RT is high. Last, the greedy bipartite algorithm is used to realize data association. Experiments show that tracking can be successfully achieved even under severe occlusion.

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Paper citation in several formats:
Yu, R.; Zhu, B.; Li , W. and Kong, X. (2016). A Particle Filter based Multi-person Tracking with Occlusion Handling.In Proceedings of the 13th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO, ISBN 978-989-758-198-4, pages 201-207. DOI: 10.5220/0005961602010207

@conference{icinco16,
author={Ruixing Yu. and Bing Zhu. and Wenfeng Li . and Xianglong Kong.},
title={A Particle Filter based Multi-person Tracking with Occlusion Handling},
booktitle={Proceedings of the 13th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO,},
year={2016},
pages={201-207},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005961602010207},
isbn={978-989-758-198-4},
}

TY - CONF

JO - Proceedings of the 13th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO,
TI - A Particle Filter based Multi-person Tracking with Occlusion Handling
SN - 978-989-758-198-4
AU - Yu, R.
AU - Zhu, B.
AU - Li , W.
AU - Kong, X.
PY - 2016
SP - 201
EP - 207
DO - 10.5220/0005961602010207

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