An efficient algorithm for human tracking in visual surveillance system

This paper focuses on algorithms which are used to count the number of people moving in or out of an area supervised by a single fixed overhead camera. The algorithms presented here have the capability of determining people count for a single person as well as for multiple people crossing the range of camera. The overall mechanism has been divided into five modules and each one of them has been explained in detail. An efficient algorithm has been proposed for tracking single as well as multiple persons in the scene with the help of tracking using the center of gravity approach. Counting is basically done by tracking the person/people in the range of camera. The proposed system, however, faces certain limitations like the background must be constant, illumination should be invariant, static object problem etc.