We present a method for appearance management for model-based visual tracking. The approach provides a concise mechanism for mapping image information to a model surface by taking into consideration uncertainties from the mapping process and by propagating appearance information from visible high-confidence surface regions to hidden or low-confidence regions. The method allows acquiring and utilizing appearance information online from available data, eliminating the need for offline appearance information. The problem is modeled with a continuous Markov random field (MRF) with clique potentials defined as energy functionals over color distributions with the Earth mover distance replacing traditional distance measures between random variables. A general MAP-MRF solution usable for general distributions as well as an efficient real-time capable linear close form approximation are presented.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Robust probabilistic estimation of uncertain appearance for model-based tracking


    Contributors:


    Publication date :

    2002-01-01


    Size :

    415610 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Robust Probabilistic Estimation of Uncertain Appearance for Model-Based Tracking

    Krahnstoever, N. / Sharma, R. | British Library Conference Proceedings | 2002


    Visual tracking and recognition using probabilistic appearance manifolds

    Lee, K. C. / Ho, J. / Yang, M. H. et al. | British Library Online Contents | 2005



    Robust online appearance models for visual tracking

    Jepson, A.D. / Fleet, D.J. / El-Maraghi, T.R. | IEEE | 2001


    Robust Online Appearance Models for Visual Tracking

    Jepson, A. D. / Fleet, D. J. / El-Maraghi, T. F. et al. | British Library Conference Proceedings | 2001