Contour extraction of gait recognition

Gait recognition is a new biometric identification technology. Its aim is to recognize people and detect physiological, pathological and mental characters by their walk style. The feature extraction of gait is the key step in gait recognition. This paper combines the background subtraction method with symmetric differential method to segment the motion human image, and then extracts the contour of motion human with improved GVF (gradient vector flow) Snake model. The experimental results show that the proposed method can extract contour features effectively for the gait recognition.