This paper describes a method for the real-time measurement of vehicle queue parameters in a video-based traffic monitoring experimental system. The method proposed here is based on vehicle presence detection and movement analysis in video sequences acquired by a stationary camera. Queues are detected and characterized by a severity index. Intensive experiments show the robustness of the method under varying illumination and weather conditions. The system is presently undergoing an on-field testing phase in a double ways road near Trento, Italy, where queues frequently occur.
An efficient vehicle queue detection system based on image processing
2003-01-01
296993 byte
Conference paper
Electronic Resource
English
An Efficient Vehicle Queue Detection System Based on Image Processing
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