A REVIEW ON OBJECT DETECTION AND TRACKING IN VIDEO SURVEILLANCE

Of late, Video Surveillance is the active area of research in the world of Security. An Intelligent Video Surveillance System is expected to detect and track the object, so as to avoid undesirable activities. This paper reviews the employable techniques of Video Surveillance System. The operations associated with the Video Surveillance System is classified into Object Detection, Classification and Tracking. Objects can be detected through techniques such as Background Subtraction, Optical Flow and Spatio-Temporal Filtering methods. The detected objects are needed to be classified from one another and this is achieved by techniques based on features such as shape, motion and texture. The intended objects can be tracked by techniques based on points, kernel and silhouettes. The techniques are compared with respect to accuracy rate and time complexity