A Novel Traffic Tracking System Based on division of Video into Frames and Processing

The objective of this paper is to visualize and an alyze video.Videos are sequence of image frames. In this work, algorithm will be developed to analyze a frame and the same w ill be applied to all frames in a video. It is expe cted see unwanted objects in video frame, which can be removed by converting col our frames into a gray scale and implement thresh h olding algorithm on an image. Threshold can be set depending on the object to be detected. Gray scale image will be converted to binary during thresh holding process. To reduce noise, to improve the ro bustness of the system, and to reduce the error rat e in detection and tracking process, morphological image processing method for binary images is used. Morphological processing wil l be applied on binary image to remove small unwanted objects that are pre sent d in a frame. A developed blob analysis techni que for extracted binary image facilitates pedestrian and car detection. Pro cessing blob’s information of relative size and loc ation leads to distinguishing between pedestrian and car. The threshold, morphol ogical and blobs process is applied to all frames i n a video and finally original video with tagged cars will be displayed.