Classification Of Gait Recognition Approaches And Comparison of Each Kind Of Approaches

• 1、College of Computers & Information Engineering, Hohai University

Abstract：Gait recognition is a very newly arisen research area in biometrics which is aimed at identifying the human according to the walking ways of individuals. Gait recognition mainly analysis and process the video sequences of the human movements. The key techniques involved include video processing, picture processing and pattern identification. The course of gait recognition can be divided into three steps: characteristics abstraction, characteristics processing, identification and classification. There have been some research attempts in the recent literatures and many detailed approaches for gait recognition have been proposed. But so far, there is still no paper to classify gait recognition approaches. This paper proposed six classification methods of gait recognition approaches, what’s more, the paper principally compared the application scope and advantages and disadvantages of each kind of gait recognition approaches in order to make the readers get some knowledge of the overall present conditions of gait recognition.

Keywords： gait recognition classification application scope advantages and disadvantages Comparison