This paper presents a technique to learn dynamic appearance models from a small number of training frames. Under this framework, dynamic appearance is modelled as an unknown operator that satisfies certain interpolation conditions and that can be efficiently identified using very little a priori information with off the shelf software. The advantages of the proposed method are illustrated with several examples where the leaned dynamics accurately predict the appearance of the targets preventing tracking failures due to occlusion or clutter.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    A Caratheodory-Fejer approach to dynamic appearance modeling


    Contributors:
    Hwasup Lim, (author) / Camps, O.I. (author) / Sznaier, M. (author)


    Publication date :

    2005-01-01


    Size :

    423177 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    A Caratheodory-Fejer approach to robust multiframe tracking

    Camps, / Hwasup Lim, / Mazzaro, et al. | IEEE | 2003


    A Caratheodory-Fejer Approach to Robust Multiframe Tracking

    Camps, O. / Lim, H. / Mazzaro, M. et al. | British Library Conference Proceedings | 2003


    Hermite-Fejér-type Operators

    Zhou, Xin-long | TIBKAT | 1991


    Scale space filtering by Fejer kernel

    Ji Yu Shi / Hung Tat Tsui | IEEE | 1994


    Scale Space Filtering by Fejer Kernel

    Shi, J. Y. / Tsui, H. T. / IEEE; Hong Kong Chapter of Signal Processing | British Library Conference Proceedings | 1994