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

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. Key words: Model-based tracking – Motion reconstruction – Robust estimation – Human arm kinematics – Constraint propagation

• Type: Journal
• Year: 1998
• Where: MVA
• Authors: Valentina Filova, Franc Solina, Jadran Lenarcic
• Keywords: Computer Vision, Human Arm, Human Arm Motion, Monocular Image Sequence, MVA 1998