IMPROVED KERNEL BASED TRACKING FOR FAST MOVING OBJECT

Dang Xiaoyan, Yao Anbang, Wang Wei, Zhang Ya, Wang Zhuo, Wang Zhihua

2010

Abstract

A novel approach of discriminative object representation and multiple-kernel tracking is proposed. We first employ a discriminative object representation, which introduces the foreground and background modelling ingredient to select the most discriminative features from a set of candidates via classification procedure. In the context of using kernel based tracking algorithm, a multiple-kernel strategy is employed to handle the difficulties resulted from fast motion through refining the ill-initialization position according to pre-refinement method. Extensive experiments demonstrate that the proposed tracker works better than Camshift and traditional kernel tracker.

Paper Citation

in Harvard Style

Xiaoyan D., Anbang Y., Wei W., Ya Z., Zhuo W. and Zhihua W. (2010). IMPROVED KERNEL BASED TRACKING FOR FAST MOVING OBJECT . In Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2010) ISBN 978-989-674-028-3, pages 261-266. DOI: 10.5220/0002766902610266

in Bibtex Style

@conference{visapp10,
author={Dang Xiaoyan and Yao Anbang and Wang Wei and Zhang Ya and Wang Zhuo and Wang Zhihua},
title={IMPROVED KERNEL BASED TRACKING FOR FAST MOVING OBJECT},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2010)},
year={2010},
pages={261-266},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002766902610266},
isbn={978-989-674-028-3},
}

in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2010)
TI - IMPROVED KERNEL BASED TRACKING FOR FAST MOVING OBJECT
SN - 978-989-674-028-3
AU - Xiaoyan D.
AU - Anbang Y.
AU - Wei W.
AU - Ya Z.
AU - Zhuo W.
AU - Zhihua W.
PY - 2010
SP - 261
EP - 266
DO - 10.5220/0002766902610266