Surveillance cameras are normally installed at major road links and intersections in urban area for observation by human operators. Instead of limiting the function of the cameras for these purposes, the images from the cameras can be captured and analysed for further decision making processes. This paper suggests image processing algorithms for traffic counting, queue length, speed measurement and vehicle classification. Traffic counting algorithm adopted in this study is carried out by observing changes in pixels values in the middle of traffic lanes. The queue length measurement, vehicle classification and determination of speed, a single line of pixels placed along a traffic lane are observed. The pattern of these pixels values are used to measure the queue length, length of individual vehicle and to detect the position of a particular vehicle within a short interval of time. For the covering abstract see ITRD E114174.
Abstract