A Window-based Edge Detection Technique for Measuring Road Traffic Parameters in Real-Time

The real-time measurement and analysis of various traffic parameters such as volume, speed and types of vehicles are increasingly required for traffic control and management. Image processing technique is now considered as an attractive and flexible method for automatic analysis and data collections in traffic engineering. Various algorithms based on background differencing techniques have been applied to vehicle detection. However, these techniques have not yielded good results due to inefficiency of background updating techniques. This paper describes a new method for vehicle detection based on edge detection techniques. This method eliminates the background updating and has been implemented in real-time on a low-cost 80386 based microcomputer system. This new vehicle detection algorithm works under various lighting and weather conditions and measures other traffic parameters in real-time as well.

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