A Gait Recognition Method Using Discrete Spatio-temporal Model

As we all know, we have very strong pattern recognition ability. we can distinguish word,picture and condition all around by view information , can apprehend language by hearing information . Pattern recognition ability is a very important part in human aptitude , it makes use of computer and math reasoning to complete automatic identify for shape,mode,curve,number,character format and graph, it comes from a lot of information and datum on a basis of experts'experiences and perceive . Its advantages are that it is a long distant recognition technology, noninvasive and difficult to conceal. Therefore, it can be applied to security system, Human ID management, digital surveillance, and so on. Generally, gait recognition consists of three parts: preprocessing of gait sequence, feature extraction and classification. This article researches the Recognition of Gait deeply, and the main content is as follows:Firstly, this paper introduces the principle of gait Recognition and the main arithmetic .it introduces the design of the mode identify system in the route way of sensors.Secondly, this paper introduces that a serial of image from the objects'movement can make up of a spatio-temporal model, recounts the basic idea of the model. It discusses gait detection and gait track'simulation. We use infrared sensor matrix as a tool to collect information. We can improve a sequential spatio-temporal model to a discrete spatio-temporal model. It explains how to distill and unite the scattered dot. It analyzes the twisted-pair's change when tow peoples come to close.At last, this paper has definitions of individual'gait modes. It advances arithmetic about the Intelligent Recognition. We validate the arithmetic of the gait recognition by emulator.