The use of video images is rapidly growing from day to day to provide automation such as moving objects and extraction of their motion orbits. Object tracking by analyzing motion and shape in video gains more attractions in many computer vision applications including video surveillance, motion analysis and extraction for computer animation. In order to track moving objects with video images, points to be tracked which belong to the object on the successive video frames, should be selected automatically. In this paper, detailed studies have been performed for extraction of motion vectors. In order to track moving objects from video images, the points to be tracked which belong to the moving object on the successive video frames should be selected automatically. For this purpose we use corner detection algorithms to automatically select those points. For tracking of the selected points we use Lukas-Kanade (LK) Optical Flow approach
Motionorbits, Optical Flow, Image Pyramid, LK Optical Flow
