Abstract Multiple cameras and collaboration between them make possible the integration of information available from multiple views and reduce the uncertainty due to occlusions. This paper presents a novel method for integrating and tracking multi-view observations using bidirectional belief propagation. The method is based on a fully connected graphical model where target states at different views are represented as different but correlated random variables, and image observations at a given view are only associated with the target states at the same view. The tracking processes at different views collaborate with each other by exchanging information using a message passing scheme, which largely avoids propagating wrong information. An efficient sequential belief propagation algorithm is adopted to perform the collaboration and to infer the multi-view target states. We demonstrate the effectiveness of our method on video-surveillance sequences.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Multi-view Object Tracking Using Sequential Belief Propagation


    Contributors:
    Du, Wei (author) / Piater, Justus (author)


    Publication date :

    2006-01-01


    Size :

    10 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




    Multi-view Object Tracking Using Sequential Belief Propagation

    Du, W. / Piater, J. | British Library Conference Proceedings | 2006



    Multi-Scale Visual Tracking by Sequential Belief Propagation

    Hua, G. / Wu, Y. / IEEE Computer Society | British Library Conference Proceedings | 2004


    Trajectory PMB Filters for Extended Object Tracking Using Belief Propagation

    Xia, Yuxuan / Garcia-Fernandez, Angel F. / Meyer, Florian et al. | IEEE | 2023


    Tracking Targets Via Particle Based Belief Propagation

    Xue, Jianru / Zheng, Nanning / Zhong, Xiaopin | Springer Verlag | 2006