A Gait Recognition Method Based on Human Posture Pick Extraction

This paper presents a method to extract posture from a series sequence of contour images which were taken from the side of a person. We extract a cycle from the image sequence and confirm the body region, then extract the articulation points of a human body in each images of the sequence and normalize the frame number using cubic spline. In the experiment, we used 360 image sequences taken from 60 persons, and the recognition accuracy rate was 90% for groups with 10 people and 80% for groups with 15 people.