The purpose of this study is to investigate tracking of moving objects in a sequence of images by detecting the surface generated by motion boundaries in the space-time domain. Estimation of this spatio-temporal surface is formulated as a Bayesian image partitioning problem. Minimization of the resulting energy functional seeks a solution biased toward smooth closed surfaces which coincide with motion boundaries, have small area, and partition the image into regions of contrasting motion activity. The Euler-Lagrange partial differential equations of minimization are expressed as level set evolution equations. The formulation does not require estimation of the image motion field and does not assume a known background. It allows multiple non-simultaneous independent motions to occur and, under some assumptions, can account for camera motion without prior estimation of this motion.


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    Title :

    Tracking moving objects as spatio-temporal boundary detection


    Contributors:
    Mitiche, A. (author) / Feghali, R. (author) / Mansouri, A. (author)


    Publication date :

    2002-01-01


    Size :

    421863 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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