Tracking Human Motion with Multiple Cameras Using an Articulated Model

This paper presents a markerless motion capture pipeline based on volumetric reconstruction, skeletonization and articulated ICP with hard constraints. The skeletonization produces a set of 3D points roughly distributed around the limbs’ medial axes. Then, the ICP-based algorithm fits an articulated skeletal model (stick figure) of the human body. The algorithm fits each stick to a limb in a hierarchical fashion, traversing the body’s kinematic chain, while preserving the connection of the sticks at the joints. Experimental results with real data demonstrate the performances of the algorithm.

• Type: Conference
• Year: 2009
• Where: MIRAGE
• Authors: Davide Moschini, Andrea Fusiello
• Keywords: Articulated Skeletal Model, Body’s Kinematic Chain, Computer Vision, MIRAGE 2009, Motion Capture Pipeline