In this paper, we show that in a multi-camera context, we can effectively handle occlusions in real-time at each frame independently, even when the only available data comes from the binary output of a simple blob detector, and the number of present individuals is a priori unknown. We start from occupancy probability estimates in a top view and rely on a generative model to yield probability images to be compared with the actual input images. We then refine the estimates so that the probability images match the binary input images as well as possible. We demonstrate the quality of our results on several sequences involving complex occlusions.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Fixed point probability field for complex occlusion handling


    Contributors:
    Fleuret, F. (author) / Lengagne, R. (author) / Fua, P. (author)


    Publication date :

    2005-01-01


    Size :

    420469 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Fixed Point Probability Field for Complex Occlusion Handling

    Fleuret, F. / Lengagne, R. / Fua, P. et al. | British Library Conference Proceedings | 2005


    Efficient segmentation of 3D LIDAR point clouds handling partial occlusion

    Aue, Jan / Langer, D. / Muller-Bessler, B. et al. | IEEE | 2011


    Efficient Segmentation of 3D LIDAR Point Clouds Handling Partial Occlusion

    Aue, J. / Langer, D. / Mueller-Bessler, B. et al. | British Library Conference Proceedings | 2011


    Appearance models for occlusion handling

    Senior, A. / Hampapur, A. / Tian, Y. L. et al. | British Library Online Contents | 2006


    Symmetric stereo matching for occlusion handling

    Jian Sun, / Yin Li, / Kang, S.B. et al. | IEEE | 2005