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
01.01.2003
296993 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
An Efficient Vehicle Queue Detection System Based on Image Processing
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