Human Gait Recognition System Based On Principal Component Analysis [PCA]

This paper addresses about recognition of human being based on gait way of working. Gait recognition is usually referred to as a human identification/individual by the manor style or way of people walk in image sequences. The aim of this project is to implement the traditional gait recognition algorithm which will offers the possibility to identify people at a distance without any interaction or co-operation from the subject, This will be achieved when the human is observed parallel to camera under one condition of walking normal and walking patterns create a gait signature of individual which are transformed into silhouette and then using The principal component analysis (PCA) algorithm to identify the subject by matching with the one which has already registered in the database. However, in this case, the work of a novel method for the purpose of similarity computation rather than the traditional recognition where the overall recognition rate of percent was obtained.