Moving Object Tracking Techniques: A Critical Review

Moving Object Tracking is one of the challenging problems in the field of computer vision, surveillance, traffic monitoring, video compression etc. The goal of object tracking is to locate a moving object in consecutive video frames. Normally a video tracking system combines three stages of data treating; object extraction, objectrecognition & tracking, and decisions about activities. This paper presents a critical review of various video object tracking techniques like point tracking, kernel tracking and Silhouette tracking algorithms. Comparison of all the techniques concludes the better approach for its future research.