A video based real-time vehicle counting system using optimized virtual loop method

This paper describes a computer vision system to detect and count moving vehicles on roads. The system uses a real-time traffic video surveillance camera mounted over roads and computes the total number of vehicles which passed the road. Moving vehicle image is extracted using 'double difference image 'algorithm and counting is accomplished by tracking vehicle movements within a tracking zone, called virtual loop. The system was tested on a video surveillance record file of a road that has a medium-level traffic volume.