We propose a fast texture-segmentation approach to the problem of 2D and 3D model-based contour tracking, which is suitable for real-time or interactive applications. Our approach relies on detecting texture boundaries in the direction normal to the contour boundaries and on using a hidden Markov model to link these boundary points in the other direction. The probabilities that appear in this computation closely relate to texture entropy and Kullback-Leibler divergence, a property we use to compute and update dynamic texture models. We demonstrate results both in the context of interactive 2D delineation and fast 3D tracking.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Fast texture-based tracking and delineation using texture entropy


    Beteiligte:
    Shahrokni, A. (Autor:in) / Drummond, T. (Autor:in) / Fua, P. (Autor:in)


    Erscheinungsdatum :

    2005-01-01


    Format / Umfang :

    1303658 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Fast Texture-Based Tracking and Delineation Using Texture Entropy

    Shahrokni, A. / Drummond, T. / Fua, P. et al. | British Library Conference Proceedings | 2005


    Fast Color-Texture Discrimination: Application to Car Tracking

    Klein, John / Lecomte, Christele / Miche, Pierre | IEEE | 2007


    Multi-modal tracking using texture changes

    Kemp, C. / Drummond, T. | British Library Online Contents | 2008


    Robust Tracking Using Foreground-Background Texture Discrimination

    Nguyen, H. T. / Smeulders, A. W. | British Library Online Contents | 2006


    3D Head Tracking Using Motion Adaptive Texture-Mapping

    Brown, L. M. / IEEE | British Library Conference Proceedings | 2001