Automatic reconstruction of 3D human arm motion from a monocular image sequence |
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| Authors: | Valentina Filova Franc Solina Jadran Lenarčič |
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| Affiliation: | (1) IBL-Sistemi, Železna c. 18, SI-1000 Ljubljana, Slovenia , SI;(2) University of Ljubljana, Faculty of Computer and Information Science, Tržaška c. 25, SI-1000 Ljubljana, Slovenia , SI;(3) Jožef Stefan Institute, Jamova c. 39, SI-1000 Ljubljana, Slovenia , SI |
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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. Received: 26 January 1996 / Accepted: 17 July 1997 |
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| Keywords: | :Model-based tracking – Motion reconstruction – Robust estimation – Human arm kinematics – Constraint propagation |
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