Gait analysis and its implemantation

A new application domain of computer vision has emerged over the past few years dealing with the analysis of images involving humans. This application domain covers face recognition, hand-gesture recognition, and whole body or body parts recognition. Similarly, identification of a person?s activity by gait extracted from video has recently become a popular research problem. Therefore, in recent years, gait analysis and recognition has received substantial attention from both research communities and the industry. It is especially useful for public, military and commercial security purposes.In this thesis, we consider the problem in two parts. First, we locate and track moving objects in an image sequence. Then, we analyze the motion using gait analysis methods. Analyzing a person?s activity by gait has a unique advantage over other biometrics as follows. It has a potential to be used at a distance when other biometrics might be at too low a resolution or might be obscured. The ability to recognize humans and their activities by vision is the key for a machine to interact intelligently and effortlessly with a human-inhabited environment. In this thesis, our aim is to implement human tracking and gait recognition.