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.
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Received: 26 January 1996 / Accepted: 17 July 1997
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Filova, V., Solina, F. & Lenarčič, J. Automatic reconstruction of 3D human arm motion from a monocular image sequence. Machine Vision and Applications 10, 223–231 (1998). https://doi.org/10.1007/s001380050074
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DOI: https://doi.org/10.1007/s001380050074