Face tracking using a region-based mean-shift algorithm with adaptive object and background models

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Title:	Face tracking using a region-based mean-shift algorithm with adaptive object and background models
Author:	Vilaplana Besler, Verónica; Varas, David
Other authors:	Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions; Universitat Politècnica de Catalunya. GPI - Grup de Processament d'Imatge i Vídeo
Abstract:	This paper proposes a technique for face tracking based on the mean shift algorithm and the segmentation of the images into regions homogeneous in color. Object and background are explicitly modeled and updated through the tracking process. Color and shape information are used to define with precision the face contours, providing a mechanism to adapt the tracker to variations in object scale and to illumination and background changes.
Abstract:	Peer Reviewed
Subject(s):	-Àrees temàtiques de la UPC::Enginyeria de la telecomunicació -Àrees temàtiques de la UPC::Informàtica -Pattern perception -Image processing -Human face recognition (Computer science) -Reconeixement d'imatges -Imatges -- Processament
Rights:	Attribution-NonCommercial-NoDerivs 3.0 Spain http://creativecommons.org/licenses/by-nc-nd/3.0/es/
Document type:	Article - Published version Conference Object
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