Towards real-time body pose estimation for presenters in meeting environments

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    Abstract

    This paper describes a computer vision-based approach to body pose estimation. The algorithm can be executed in real-time and processes low resolution, monocular image sequences. A silhouette is extracted and matched against a projection of a 16 DOF human body model. In addition, skin color is used to locate hands and head. No detailed human body model is needed. We evaluate the approach both quantitatively using synthetic image sequences and qualitatively on video test data of short presentations. The algorithm is developed with the aim of using it in the context of a meeting room where the poses of a presenter have to be estimated. The results can be applied in the domain of virtual environments.
    Original languageUndefined
    Title of host publicationProceedings of the International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision'2005 (WSCG'2005)
    Place of PublicationPlzen, Czech Republic
    PublisherScience Press
    Pages41-44
    Number of pages4
    ISBN (Print)80-903100-9-5
    Publication statusPublished - 2005

    Publication series

    Name
    PublisherScience Press

    Keywords

    • HMI-IA: Intelligent Agents
    • EWI-1812
    • METIS-227356
    • IR-65554
    • EC Grant Agreement nr.: FP6/506811

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