We propose a probabilistic method for tracking articulated objects, such as the human figure, across multiple layers in monocular image sequence. In this method, each link of a probabilistic articulated object is assigned to one individual image layer. The layered representation allows us to robustly model the pose and occlusion of object parts during its motion. Appearance of links is described in terms of learned statistics of basic image features, such as color, and geometric models of robust spatial kernels. This results in a highly efficient computational method for inference of the object’s pose. We apply this approach to tracking of the human figure in monocular video sequences. We show that the proposed method, coupled with a learned dynamic model, can lead to a robust articulated object tracker.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Estimation of Human Figure Motion Using Robust Tracking of Articulated Layers


    Beteiligte:
    Kooksang Moon, (Autor:in) / Pavlovic, V. (Autor:in)


    Erscheinungsdatum :

    01.01.2005


    Format / Umfang :

    795028 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Multi-camera Tracking of Articulated Human Motion Using Motion and Shape Cues

    Sundaresan, A. / Chellappa, R. | British Library Conference Proceedings | 2006


    Cyclic Articulated Human Motion Tracking by Sequential Ancestral Simulation

    Chang, C. / Ansari, R. / Khokhar, A. et al. | British Library Conference Proceedings | 2004


    Cyclic articulated human motion tracking by sequential ancestral simulation

    Cheng Chang, / Ansari, R. / Khokhar, A. | IEEE | 2004


    3D articulated motion estimation from images

    Xiaoyun Zhang, / Yuncai Liu, | IEEE | 2005


    Tracking Articulated Hand Motion with Eigen Dynamics Analysis

    Zhou, H. / Huang, T. / IEEE | British Library Conference Proceedings | 2003