Detection and Tracking System of Moving Objects Based on MATLAB

Moving Object detection and tracking are receiving a growing attention with the emergence of surveillance systems. Video surveillance has been in used in the monitor security sensitive areas (such as banks, department stores, highways, crowded public places and borders, and etc.). In this thesis, video surveillance system with moving object detection and tracking capabilities is presented. This thesis is committed to the problems of defining and developing the basic building blocks of video surveillance system. The video surveillance system requires fast, reliable and robust algorithms for moving object detection and tracking. The system can process both color and gray images from a stationary camera. It can handle object detection in indoor or outdoor environment and under changing illumination conditions. This paper presents detection and tracking system of moving objects based on matlab.It is described for segmenting moving objects from the scene .The proposed system is capable of adapting to dynamic scene, removing shadow, and distinguishing left/removed objects both in indoor and outdoor. The proposed technique combines simple frame difference (FD), simple adaptive background subtraction (BS), and accurate Gaussian modeling to benefit from the high detection accuracy of Mixture of Gaussian solution (MoG) in outdoor scenes while reducing the computations .Thus, making it faster and more suitable for real time surveillance applications, This study used IFD(InterFrame Differencing algorithm) and bounding box method to track the objects.