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Authors: Lyes Hamoudi ; Khaled Boukharouba ; Jacques Boonaert and Stéphane Lecoeuche

Affiliation: Ecole des Mines de Douai, France

ISBN: 978-989-8111-69-2

Keyword(s): Face detection and tracking, Colour and texture segmentation, Classification of non-stationary data, SVM classification.

Related Ontology Subjects/Areas/Topics: Applications ; Computer Vision, Visualization and Computer Graphics ; Feature Extraction ; Features Extraction ; Human-Computer Interaction ; Image and Video Analysis ; Informatics in Control, Automation and Robotics ; Methodologies and Methods ; Model-Based Object Tracking in Image Sequences ; Motion and Tracking ; Motion, Tracking and Stereo Vision ; Pattern Recognition ; Physiological Computing Systems ; Real-Time Vision ; Signal Processing, Sensors, Systems Modeling and Control ; Software Engineering ; Statistical Approach ; Tracking of People and Surveillance ; Video Analysis

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 several formats:
Hamoudi L.; Boukharouba K.; Boonaert J.; Lecoeuche S. and (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

@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},
}

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

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