No abstract

Gait based human recognition system is most important and attractive method of biometrics. Gait the way of walking capture from distance and provide more efficient means of verification. In this paper, we propose an efficient algorithm which works on angle based technique. Initially video converted into frames and then feature abstraction is done. Here we are taking three lower body parts for recognition and a correlation of triangle is derived. Using cosine formula each inner angle of triangle is calculated and stored in database for identification. The gait system is designed using MATLAB to accomplish this research work.

Biometric system is an analysis of unique biological features of human being. The purpose is used for human security and identification. Different conventional biometric (such as face recognition, iris, fingerprint, etc.) methods are used for security and identification purpose, but they can capture only by physical control or at a close distance from record search. Gait on a behavioral biometric has attracted more attention recently because it can capture at a distance with requiring the earlier consent of the observed object. This survey paper covers the current trends and method of Gait based surveillance system using triangle methods and compare them.