The paper presents a model of image segmentation that can distinguish foreground from background purely on the basis of motion information. The main processing steps involved are: detection of motion boundaries, and analysis of figure ground relationship. The proposed model utilizes the observation that in kinetic occlusion, motion boundaries typically display mixture motion information, and foreground surfaces tend to move with motion boundaries. Through distributed probabilistic modeling, these constraints can be embedded into computations with efficient network representations. The resulting networks use spatiotemporal Gabor filters as front ends, and are suitable for parallel distributed processing. We demonstrate the application of the model in the decomposition of moving images into surfaces according to depth.<>


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    Title :

    A model of figure-ground segregation from kinetic occlusion


    Contributors:
    Chou, G.T. (author)


    Publication date :

    1995-01-01


    Size :

    947410 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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