抽象的

DETECTION AND TRACKING OF MOVING OBJECT IN VISUAL SURVEILLANCE SYSTEM

Seema Kumari, Manpreet Kaur, Birmohan Singh

Visual surveillance system is one of the most challenging research topics in the recent decades. It is a key technology to fight against the problem of crime, terrorism, public safety like in banks, shops, private buildings etc. In this paper, we have analyzed moving object detection techniques, the frame difference and the approximate median method. The frame differencing has been adopted for the reference frame and the step length. We have proposed the moving object detection as well as object tracking by using the modified frame difference method. In the proposed surveillance system for video captured by single camera is considered for the space under the observation. The proposed methodology is tested on ten videos and it is found that this method is capable of detecting multiple moving objects clearly. The results are quite satisfactory.