Wireless Vision based Real time Object Tracking System Using Template Matching

Abstract In the present work the concepts of template matching through Normalized Cross Correlation (NCC) has been used to implement a robust real time object tracking system. In this implementation a wireless surveillance pinhole camera has been used to grab the video frames from the non ideal environment. Once the object has been detected it is tracked by employing an efficient Template Matching algorithm. The templates used for the matching purposes are generated dynamically. This ensures that any change in the pose of the object does not hinder the tracking procedure. To automate the tracking process the camera is mounted on a disc coupled with stepper motor, which is synchronized with a tracking algorithm. As and when the object being tracked moves out of the viewing range of the camera, the setup is automatically adjusted to move the camera so as to keep the object of about 360 degree field of view. The system is capable of handling entry and exit of an object. The performance of the proposed Object tracking system has been demonstrated in real time environment both for indoor and outdoor by including a variety of disturbances and a means to detect a loss of track