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.
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: | |
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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