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Authors: Nicolas Widynski 1 ; Emanuel Aldea 2 ; Séverine Dubuisson 2 and Isabelle Bloch 1

Affiliations: 1 Télécom ParisTech, France ; 2 University Pierre et Marie Curie, France

ISBN: 978-989-8425-47-8

Keyword(s): Object tracking in video Sequences, Particle filter, Multiple appearance models.

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

Abstract: In this paper, we propose a novel method to track an object whose appearance is evolving in time. The tracking procedure is performed by a particle filter algorithm in which all possible appearance models are explicitly considered using a mixture decomposition of the likelihood. Then, the component weights of this mixture are conditioned by both the state and the current observation. Moreover, the use of the current observation makes the estimation process more robust and allows handling complementary features, such as color and shape information. In the proposed approach, these estimated component weights are computed using a Support Vector Machine. Tests on a mouth tracking problem show that the multiple appearance model outperforms classical single appearance likelihood.

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Paper citation in several formats:
Widynski, N.; Aldea, E.; Dubuisson, S. and Bloch, I. (2011). OBJECT TRACKING BASED ON PARTICLE FILTERING WITH MULTIPLE APPEARANCE MODELS.In Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2011) ISBN 978-989-8425-47-8, pages 604-609. DOI: 10.5220/0003334606040609

@conference{visapp11,
author={Nicolas Widynski. and Emanuel Aldea. and Séverine Dubuisson. and Isabelle Bloch.},
title={OBJECT TRACKING BASED ON PARTICLE FILTERING WITH MULTIPLE APPEARANCE MODELS},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2011)},
year={2011},
pages={604-609},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003334606040609},
isbn={978-989-8425-47-8},
}

TY - CONF

JO - Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2011)
TI - OBJECT TRACKING BASED ON PARTICLE FILTERING WITH MULTIPLE APPEARANCE MODELS
SN - 978-989-8425-47-8
AU - Widynski, N.
AU - Aldea, E.
AU - Dubuisson, S.
AU - Bloch, I.
PY - 2011
SP - 604
EP - 609
DO - 10.5220/0003334606040609

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