We present a framework for motion segmentation that combines the concepts of layer-based methods and feature-based motion estimation. We estimate the initial correspondences by comparing vectors of filter outputs at interest points, from which we compute candidate scene relations via random sampling of minimal subsets of correspondences. We achieve a dense, piecewise smooth assignment of pixels to motion layers using a fast approximate graph-cut algorithm based on a Markov random field formulation. We demonstrate our approach on image pairs containing large inter-frame motion and partial occlusion. The approach is efficient and it successfully segments scenes with inter-frame disparities previously beyond the scope of layer-based motion segmentation methods.


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    Title :

    What went where [motion segmentation]


    Contributors:
    Wills, J. (author) / Agarwal, S. (author) / Belongie, S. (author)


    Publication date :

    2003-01-01


    Size :

    879969 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    What Went Where

    Wills, J. / Agarwal, S. / Belongie, S. et al. | British Library Conference Proceedings | 2003


    Where the professor went

    Kimberley,W. / Caparo Vehicle Technologies,GB | Automotive engineering | 2006



    What went wrong?

    Online Contents | 1998