Moving Object Counting in Video Signals

Abstract— Object detection and tracking is important in the field of video processing. The increasing need for automated video analysis has generated a great deal of interest in object tracking algorithms. The input video clip is analyzed in three key steps: Frame extraction, Background estimation and Detection of foreground objects. The use of object tracking and counting; basically cars; is pertinent in the tasks of traffic monitoring. Traffic monitoring is important to direct traffic flow, to count traffic density and check the rules of traffic at traffic signals. In this paper we have presented a technique to avoid human monitoring and automate the video surveillance system. This system avoids the need to have a background image of the traffic. To a given input video signals, frames are extracted. Selected frames are used to estimate the background. This background image is subtracted from each input video frame and foreground object is obtained. After post processing technique, counting is done.