Certain Approaches of Real Time Object Tracking in Video Sequences on Embedded Linux Platform

--Video tracking in real time is one of the most important topic in the field of computer Vision. Detection and tracking of moving objects in the video scenes is the first relevant step in the information extraction in many computer vision applications.This idea can be used for the surveillance purpose, video annotation, traffic monitoring and also in the field of medical In this paper, we are discussing about the different methods for the video trackingusing Python Opencv software and the implementation of the tracking system on the Beagleboard XM. Background Subtraction method, and color based contour tracking are the different methods using for the tracking.And finally, we concluded that the background subtraction method is most efficient method for tracking all the moving objects in the frames.