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.
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|
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