Tracking Learning and Detection of Multiple Objects using Static Camera

Abstract- Proposed system performs tracking, learning and detection of multiple objects in the video stream using a static camera. Proposed system does the tracking of multiple objects in presence of occlusion, clutter, scaling and rotation. There were many tracking approaches have been proposed in the past decades such as histogram based mean shit methods, contour based tracking methods but they were intensive while achieving better tracking accuracy. Proposed System presents robust tracking framework that can be applied to real time applications. Propose system is expected to track and detect the real time object which is under constant rotation upto 180 degree. General Terms-Extraction, matching template, tracking, detection. Keywords motion detection, improved tracking camshift method, real time object learning