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Authors: Zhi Zhou 1 ; Yue Wang 2 and Eam Khwang Teoh 1

Affiliations: 1 Nanyang Technological University, Singapore ; 2 Institute for Infocomm Research (I2R), Singapore

Keyword(s): Multi-people Tracking, Salient Parts, Tracking by Detection, Saliency Detection.

Related Ontology Subjects/Areas/Topics: Computer Vision, Visualization and Computer Graphics ; Motion, Tracking and Stereo Vision ; Tracking and Visual Navigation ; Video Surveillance and Event Detection

Abstract: The saliency of an object or area is the quality to stand out from its neighborhood, it is an important component when we observe objects in the real world. The detection of saliency has been studied for years and has already been applied in many areas. In this paper, salient parts based framework is proposed for multi-people tracking. The framework follows tracking-by-detection approach and performs multi-people tracking from frame to frame. Salient parts are detected inside the human body area by finding high contrasts to their local neighborhood. Short-term tracking of salient parts are applied to help locating targets when the association with detections fails. And supporting models are on-line learnt to indicate the locations of targets based on the tracking results of salient parts. Experiments are carried out on PETS09 and Town Center datasets to validate the proposed method. The experimental result shows the promising performance of the proposed method and comparison with sta te-of-the-art works is provided. (More)

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Paper citation in several formats:
Zhou, Z.; Wang, Y. and Teoh, E. (2015). Salient Parts based Multi-people Tracking. In Proceedings of the 10th International Conference on Computer Vision Theory and Applications (VISIGRAPP 2015) - Volume 1: VISAPP; ISBN 978-989-758-091-8; ISSN 2184-4321, SciTePress, pages 231-240. DOI: 10.5220/0005262202310240

@conference{visapp15,
author={Zhi Zhou. and Yue Wang. and Eam Khwang Teoh.},
title={Salient Parts based Multi-people Tracking},
booktitle={Proceedings of the 10th International Conference on Computer Vision Theory and Applications (VISIGRAPP 2015) - Volume 1: VISAPP},
year={2015},
pages={231-240},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005262202310240},
isbn={978-989-758-091-8},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 10th International Conference on Computer Vision Theory and Applications (VISIGRAPP 2015) - Volume 1: VISAPP
TI - Salient Parts based Multi-people Tracking
SN - 978-989-758-091-8
IS - 2184-4321
AU - Zhou, Z.
AU - Wang, Y.
AU - Teoh, E.
PY - 2015
SP - 231
EP - 240
DO - 10.5220/0005262202310240
PB - SciTePress

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