We propose an object-based framework for detection and tracking of moving objects in a sequence of images. Two key ingredients of the approach are appropriate object models based on Grenander's (see General Pattern Theory, 1993) deformable templates and spatio-temporal data models. Detection and tracking problems are formulated as optimization problems. Detection employs a Metropolis-type procedure starting from a random initial configuration, while tracking involves a deterministic nonlinear Gauss-Seidel algorithm. We present experimental results with real data on a highway traffic sequence.<>


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Motion detection and tracking using deformable templates


    Contributors:
    Perez, P. (author) / Gidas, B. (author)


    Publication date :

    1994-01-01


    Size :

    497857 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Motion Detection and Tracking using Deformable Templates

    Perez, P. / Gidas, B. / IEEE; Signal Processing Society | British Library Conference Proceedings | 1994


    Object Tracking using Deformable Templates

    Yu, Z. / Jain, A. K. / Dubuisson-Jolly, M.-P. et al. | British Library Conference Proceedings | 1998


    Object tracking using deformable templates

    Zhong, Y. / Jain, A.K. / Dubuisson-Jolly, M.-P. | IEEE | 1998


    Motion in deformable templates

    Silsbee, P.L. | IEEE | 1994


    Motion in Deformable Templates

    Silsbee, P. L. / IEEE; Signal Processing Society | British Library Conference Proceedings | 1994