This paper deals with areas detection and tracking using color based image processing. The application addressed concerns human head and hands tracking. We propose an original method in order to locate, for a foreground image, colored areas. Foreground image is provided by a probabilistic way using Gaussian mixture models (GMM) of probability density functions. The temporal tracking is then achieved by a particle filter, which is well adapted to partial occlusions and non Gaussian models.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Realtime head and hands tracking by monocular vision


    Beteiligte:
    Vacavant, A. (Autor:in) / Chateau, T. (Autor:in)


    Erscheinungsdatum :

    2005-01-01


    Format / Umfang :

    518074 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Realtime Head and Hands Tracking by Monocular Vision

    Vacavant, A. / Chateau, T. | British Library Conference Proceedings | 2005


    Embedded control using monocular vision: Face tracking

    Flores-Delgado, J. I. / Martinez-Santos, L. G. / Lozano, R. et al. | IEEE | 2017


    The realtime Vision System for small-sized target tracking

    Boguslavsky, A.A. / Sokolov, S.M. | British Library Online Contents | 2007


    The realtime Vision System for small-sized target tracking

    Boguslavsky, Andrey A. / Sokolov, Sergey M. | British Library Online Contents | 2007


    Realtime depth estimation and obstacle detection from monocular video

    Wedel, Andreas / Franke, Uwe / Klappstein, Jens et al. | Tema Archiv | 2006