Optimization Of Frame Rate In Real Time Object Detection And Tracking

Abstract The paper focuses on the development of the optimization of real time object system which uses a static camera to capture the video frames and track an object. The work proceeds as Matching of the histograms created for the frame Absolute frame subtraction to build an optimized automated object tracking system. As the location of the object is detected it is tracked by using discrete Kalman Filter Technique. Identifying the object entering the viewing range of the camera this is done by histogram matching algorithm. To recognize the object OTSU segmentation is used. Since the frame occurrence rate is increased it can be used in automatic licensed number plate system recognition.