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Authors: Dang Xiaoyan 1 ; Yao Anbang 1 ; Wang Wei 1 ; Zhang Ya 1 ; Wang Zhuo 1 and Wang Zhihua 2

Affiliations: 1 Intel Labs China, China ; 2 Tsinghua University, China

ISBN: 978-989-674-028-3

Keyword(s): Object Tracking, Kernel Based Tracking, Foreground/ Background Modelling.

Related Ontology Subjects/Areas/Topics: Applications ; Computer Vision, Visualization and Computer Graphics ; Human-Computer Interaction ; Methodologies and Methods ; Motion and Tracking ; Motion, Tracking and Stereo Vision ; Pattern Recognition ; Physiological Computing Systems

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.

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Paper citation in several formats:
Xiaoyan D.; Anbang Y.; Wei W.; Ya Z.; Zhuo W.; Zhihua W. and (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

@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},
}

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

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