Traffic Flow Measurement Considering Occlusion

Abstract

A traffic problem, such as a traffic accident, traffic congestion and environmental pollution, are serious social issues with the increase in vehicle ownership ratio. As a measure, practical application of system which provides a driver with useful information is desired. In connection with such a background, the trial in which the automated surveillance system of a traffic state and an obstacle using image processing technology is made. This research proposes the traffic flow measurement technique using image sequences taken by a CCD camera mounted on the footbridge. We perform vehicles detection using adaptive background difference processing, and vehicles tracking using the concept of a deformable template matching and a tracking cycle to provide solution to vehicles occlusion. Eventually, the traffic parameter called a traffic volume, a speed, and a space occupancy is computed. In the experimental result, the accuracy and the efficiency of our approach is shown.