Track and identify skeleton based on their walking style Human recognition in surveillance system has become one of the challenging tasks for security aspects. Currently applied systems based on face, fingerprint, iris etc. have certain limitations like their intrusiveness, obtrusiveness, reliability, bio- matric data privacy. GAIT features like walking style, variation of angles in different body joints are some of the unique features which in integrated manner can be used for recognizing a person.
The project introduces an innovative way for human recognition using GAIT and other body features which is an uninstructive, robust, reliable way of human recognition which provides and alternative way to the currently established system based on face, fingerprint and iris.