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Automatic reconstruction of 3D human arm motion from a monocular image sequence

Valentina Filova and Franc Solina and Jadran Lenarčič (1998) Automatic reconstruction of 3D human arm motion from a monocular image sequence. Machine Vision and Applications, 10 (5-6). pp. 223-231.

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    Abstract

    A model-based approach to reconstruction of 3D human arm motion from a monocular image sequence taken under orthographic projection is presented. The reconstruction is divided into two stages. First, a 2D shape model is used to track the arm silhouettes and second-order curves are used to model the arm based on an iteratively reweighted least square method. As a result, 2D stick figures are extracted. In the second stage, the stick figures are backprojected into the scene. 3D postures are reconstructed using the constraints of a 3D kinematic model of the human arm. The motion of the arm is then derived as a transition between the arm postures. Applications of these results are foreseen in the analysis of human motion patterns.

    Item Type: Article
    Keywords: Model-based tracking, Motion reconstruction, Robust estimation, Human arm kinematics, Constraint propagation
    Language of Content: English
    Related URLs:
    URLURL Type
    http://www.cobiss.si/scripts/cobiss?command=search&base=50070&select=(id=957780)Alternative location
    Institution: University of Ljubljana
    Department: Faculty of Computer and Information Science
    Divisions: Faculty of Computer and Information Science > Computer Vision Laboratory
    Item ID: 161
    Date Deposited: 14 Jan 2005
    Last Modified: 12 Dec 2013 15:39
    URI: http://eprints.fri.uni-lj.si/id/eprint/161

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