We present an integrated approach towards the segmentation and shape estimation of human body outlines. Initially, we assume that the human body consists of a single part, and we fit a deformable model to the given data using our physics-based shape and motion estimation framework. As an actor attains different postures, new protrusions emerge on the outline. We model these changes in the shape using a new representation scheme consisting of a parametric composition of deformable models. This representation allows us to identify the underlying human parts that gradually become visible, by monitoring the evolution of shape and motion parameters of the composed models. Based on these parameters, their joint locations are identified. The algorithm is applied iteratively over subsequent frames until all moving parts are identified. We demonstrate the technique in a series of experiments with very encouraging results.<>


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    Titel :

    Active motion-based segmentation of human body outlines


    Beteiligte:
    Kakadiaris, I.A. (Autor:in) / Metaxas, D. (Autor:in) / Bajcsy, R. (Autor:in)


    Erscheinungsdatum :

    01.01.1994


    Format / Umfang :

    691950 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Active Motion-Based Segmentation of Human Body Outlines

    Kakadiaris, I. A. / Metaxas, D. / Bajcsy, R. et al. | British Library Conference Proceedings | 1994


    A Model Based Approach to Labeling Human Body Outlines

    Leung, M. K. / Yang, Y. H. / IEEE et al. | British Library Conference Proceedings | 1994


    A model based approach to labelling human body outlines

    Leung, M.K. / Yee Hong Yang | IEEE | 1994


    Outlines

    Stiftung Volkswagenwerk | GWLB - Gottfried Wilhelm Leibniz Bibliothek | 1983