Salient Parts based Multi-people Tracking

Zhi Zhou, Yue Wang, Eam Khwang Teoh

2015

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 state-of-the-art works is provided.

Paper Citation

in Harvard Style

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 - Volume 3: VISAPP, (VISIGRAPP 2015) ISBN 978-989-758-091-8, pages 231-240. DOI: 10.5220/0005262202310240

in Bibtex Style

@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 - Volume 3: VISAPP, (VISIGRAPP 2015)},
year={2015},
pages={231-240},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005262202310240},
isbn={978-989-758-091-8},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 10th International Conference on Computer Vision Theory and Applications - Volume 3: VISAPP, (VISIGRAPP 2015)
TI - Salient Parts based Multi-people Tracking
SN - 978-989-758-091-8
AU - Zhou Z.
AU - Wang Y.
AU - Teoh E.
PY - 2015
SP - 231
EP - 240
DO - 10.5220/0005262202310240