GAIT BIOMETRIC BASED RECOGNITION OF HUMAN IN SILHOUETTE

Abstract

Gait recognition is the process of identifying an individual by the manner in which they walk. This offers the possibility to identify people at a distance, without any interaction or co-operation from the subject; this is the property which makes it as attractive as a method of identification. In modern society, the need for the establishment of defense and prevention mechanisms has encouraged
the development of automatic human recognition systems based on biometrics, i.e. the analysis of a person's psychological and behavioral features. Gait, or the peculiar manner of walking, allows the recognition process to be made at a distance since it is possible to extract the gait information from a video sequence of a distant person walking. In this Dissertation gait recognition algorithm based on the histograms of the silhouette of a person by using gait. A binary silhouette of the walking person is obtained by background subtraction; the binary silhouettes are then aligned and generate a histogram of each silhouette image. Then compare their histograms using the Bhattacharyya coefficient method silhouettes. Histogram of a number of persons is used for recognition purposes.