Automatic Human Body Modeling for Vision-Based Motion Capture

Abstract

In this paper we present a computer vision algorithm for building a human body model skeleton in an automatic way. The algorithm is based on analyzing the human shape. We decompose the body into its main parts by computing the curvature of a B-Spline parameterization of the human contour. This algorithm has been applied in a context where the user is standing in front of a camera stereo pair. The process is completed after the user performs a predefined initial posture for identifying her principal joints, and building the human model. Using this model, we solve the initialization problem of a vision-based markerless motion capture system of the human body.