Image processing techniques for real-time qualitative road traffic data analysis

Real-time qualitative road traffic data analysis is the cornerstone for any modern transport system. So far, most of the analysis is done manually and the use of image processing techniques for qualitative analysis is at its early stage. In this paper we describe novel image processing algorithms to gether with the results, which assign a qualitative description to a traffi c scene. The qualitative description of a traffic scene can be used for con trolling traffic lights and putting hazard signals on the road side, thereb y warning drivers to slow down or direct them to alternative routes. We ana lyse a wider view of the path and evaluate the whole description of traffic status. To approach this, we considered two major parameters of traffic st atus: the percentage of road occupied by vehicles and the percentage of mov ing and stationary parts of this occupancy. The alogrithm developed for tra ffic analysis automatically divides the scene into a number of blocks, base d on camera parameters and the number of lanes. This full frame image proce ssing application requires a low-cost frame grabber and a Pentium-based com puter system for on-line real-time operations. (C) 1999 Academic Press.