Review Paper on Moving Object Tracking In Video Processing

Real time moving object detection and tracking is one of the important research fields that have gained a lot of attention in the last few years. Tracking is required for security, safety and site management. Cameras installed around us but there are no means to monitor all of them continuously. It is necessary to develop technologies that automatically process those images in order to detect problematic situations or unusual behavior of human or object. Design computer vision base automated video surveillance system addresses real-time observation of object within a busy environment leading to the description of their actions and interactions. Object detection by background subtraction technique. Using single camera we detect and track human behavior. Background subtraction is the process of separating out the foreground objects from the background in a sequence of video frames. If human entity is cross the line design security in mall or public area the object is tracked. It is laborious to track and trace people over multiple cameras. In this paper, we present review for some system for real-time tracking and fast interactive retrieval of persons in video streams from single static surveillance camera.