ON-LINE FACE TRACKING UNDER LARGE LIGHTING CONDITION VARIATIONS USING INCREMENTAL LEARNING

Lyes Hamoudi, Khaled Boukharouba, Jacques Boonaert, Stéphane Lecoeuche

2009

Abstract

To be efficient outdoors, automated video surveillance systems should recognize and monitor humans activities under various amounts of light. In this paper, we present a human face tracking system that is based on the classification of the skin pixels using colour and texture properties. The originality of this work concerns the use of a specific dynamical classifier. An incremental svm algorithm equipped with dynamic learning and unlearning rules, is designed to track the variation of the skin-pixels distribution. This adaptive skin classification system is able to detect and track a face in large lighting condition variations.

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Paper Citation


in Harvard Style

Hamoudi L., Boukharouba K., Boonaert J. and Lecoeuche S. (2009). ON-LINE FACE TRACKING UNDER LARGE LIGHTING CONDITION VARIATIONS USING INCREMENTAL LEARNING . In Proceedings of the Fourth International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2009) ISBN 978-989-8111-69-2, pages 636-643. DOI: 10.5220/0001806106360643


in Bibtex Style

@conference{visapp09,
author={Lyes Hamoudi and Khaled Boukharouba and Jacques Boonaert and Stéphane Lecoeuche},
title={ON-LINE FACE TRACKING UNDER LARGE LIGHTING CONDITION VARIATIONS USING INCREMENTAL LEARNING},
booktitle={Proceedings of the Fourth International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2009)},
year={2009},
pages={636-643},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001806106360643},
isbn={978-989-8111-69-2},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Fourth International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2009)
TI - ON-LINE FACE TRACKING UNDER LARGE LIGHTING CONDITION VARIATIONS USING INCREMENTAL LEARNING
SN - 978-989-8111-69-2
AU - Hamoudi L.
AU - Boukharouba K.
AU - Boonaert J.
AU - Lecoeuche S.
PY - 2009
SP - 636
EP - 643
DO - 10.5220/0001806106360643