The real-time measurement of various traffic parameters including queue parameters is required in many traffic situations such as accident and congestion monitoring and adjusting the timings of the traffic lights. In case of the queue detection, at least two algorithms have been proposed by previous researchers. Those algorithms are used for queue detection and are unable to measure queue parameters. The authors propose a method based on applying the combination of noise insensitive and simple algorithms on a number of sub-profiles (a one-pixel-wide key-region) along the road. The proposed queue detection algorithm consists of motion detection and vehicle detection operations, both based on extracting edges of the scene, to reduce the effects of variation of lighting conditions. To reduce the computation time, the motion detection operation continuously operates on all the sub-profiles, but the vehicle detection is only applied to the tail of the queue. The proposed algorithms have been implemented on an 80386-based microcomputer system and the whole system works in real-time.
Real-time image processing approach to measure traffic queue parameters
1995-10-01
7 pages
Aufsatz (Zeitschrift)
Englisch
edge detection , sub-profiles , computerised monitoring , traffic lights timing adjustment , traffic queue parameters measurement , queue detection algorithm , motion detection , vehicle detection , 80386-based microcomputer system , real-time systems , real-time measurement , road traffic , edge extraction , noise insensitive algorithms , congestion monitoring , image processing , traffic control , image processing approach
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