KNOWLEDGE-GUIDED VISUAL-PERCEPTION OF 3-D HUMAN GAIT FROM A SINGLE IMAGE SEQUENCE

Abstract

A computer vision method is presented to determine the 3-D spatial locations of joints or feature points of a human body from a film recording the human motion during walking. The proposed method first applies the geometric projection theory to obtain a set of feasible postures from a single image, then it makes use of the given dimensions of the human stick figure, physiological and motion-specific knowledge to constrain the feasible postures in both the single-frame analysis and the multi-frame analysis. Finally a unique gait interpretation is selected by an optimization algorithm. Computer simulations are used to illustrate the ideas presented.