Motion Capture Based on Color Error Maps in a Distributed Collaborative Environment

In this paper a composite framework for collaborative working is presented. The framework includes real-time motion tracking based on computer vision from standard webcams situated at different locations, data transmission and real-time animation of 3D avatars in a virtual world. Motion tracking is obtained without using markers, with weak constraints on users' clothes and environment lighting. It is based on a model fitting process that compares the 2D processed images supplied by cameras with a set of artificially generated views of a human model.

• Type: Conference
• Year: 2004
• Where: ICPR
• Authors: Alberto Del Bimbo, Alessandro Valli, Fabio Pucci, Thomas M. Alisi
• Keywords: Computer Vision, ICPR 2004, Model Fitting Process, Motion Tracking, Real-time Motion