Vehicle queue detection based on morphological edge

In an Intelligent Traffic Systems(ITS), queue parameters at the intersections are required in many applications, such as accident monitoring and the controlling of traffic light. In this paper we use morphological edge detection to deal with the traffic image and propose a flexible window method to...

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Bibliographic Details
Published in2008 7th World Congress on Intelligent Control and Automation pp. 2732 - 2736
Main Authors Zhe Liu, Yangzhou Chen, Zhenlong Li
Format Conference Proceeding
LanguageChinese
English
Published IEEE 01.06.2008
Subjects
Computer vision
Conferences
flexible window
Image edge detection
Image processing
Monitoring
morphological edge detection
queue detection
Real time systems
Vehicles
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ISBN1424421136
9781424421138
DOI10.1109/WCICA.2008.4593356

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Summary:In an Intelligent Traffic Systems(ITS), queue parameters at the intersections are required in many applications, such as accident monitoring and the controlling of traffic light. In this paper we use morphological edge detection to deal with the traffic image and propose a flexible window method to detect the length of the queue, which adapts to the characteristic and requirement of queue detection. The method is better than background differentiation and frame differentiation in vehicle detection and queue detection. Experimental results show that method is accurate and can run in real-time under different weather, illumination and occlusions.
ISBN:1424421136
9781424421138
DOI:10.1109/WCICA.2008.4593356