Accurate human body posture refinement from single or multiple images is essential in many applications. Two main causes of difficulty to solve the refinement problem are high degree freedom of human body and self-occlusion. One of the most recent algorithms is nonparametric belief propagation (NBP) that solves the problem in a lower dimensional state space. However, it is difficult to handle self-occlusion. This paper presents an NBP-based algorithm that can refine body posture even in self-occlusion case, which has been shown by experimental results. The experimental results also show that our algorithm can accurately refine body posture even if the initial posture has large difference from the true posture.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Human body posture refinement by nonparametric belief propagation


    Contributors:


    Publication date :

    2005-01-01


    Size :

    174094 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Human Body Posture Refinement by Nonparametric Belief Propagation

    Wang, R. / Leow, W. K. | British Library Conference Proceedings | 2005


    Nonparametric belief propagation

    Sudderth, E.B. / Ihler, A.T. / Freeman, W.T. et al. | IEEE | 2003


    Nonparametric Belief Propagation

    Sudderth, E. / Ihler, A. / Freeman, W. et al. | British Library Conference Proceedings | 2003


    Fast nonparametric belief propagation for real-time stereo articulated body tracking

    Bernier, O. / Cheung-Mon-Chan, P. / Bouguet, A. | British Library Online Contents | 2009


    Human body posture underwater propeller

    LIN YUFENG | European Patent Office | 2022

    Free access