Abstract
This paper describes three-dimensional recovery and analysis method of human motions in a large field employing a mobile frame. Modeling 3-D human motions is requested in various fields such as virtual reality, sport analysis and medical science. Generally, 3-D motion recovery is done by employing stereo vision or factorization based on an extended measurement matrix. These techniques normally employ fixed cameras for taking video image streams. They are therefore difficult in recovering the motions in a large field. In this paper, we propose a technique for achieving 3-D recovery of human motions in a large field employing a mobile set of cameras. Three video cameras mounted on a mobile frame track and capture a person's images from three different directions. The 3-D locations of feature points attached on the object are calculated by factorization with every sample time. Using the proposed technique, several human wide range motions are recovered in a 3-D way. Analysis of the motions shows significance of the technique.
