DocumentCode
2557541
Title
Adaptive lane finding in road traffic image analysis
Author
Stewart, B.D. ; Reading, I. ; Thomson, M.S. ; Binnie, T.D. ; Dickinson, K.W. ; Wan, C.L.
Author_Institution
Napier Univ., Edinburgh, UK
fYear
1994
fDate
26-28 Apr 1994
Firstpage
133
Lastpage
136
Abstract
The application of image processing and computer vision techniques to the analysis of video sequences of traffic flow offers considerable improvements over the existing methods of traffic data collection. The key to the development of a road monitoring system based upon IA is adaptability. An adaptive system would ease installation of the equipment by aiding with its own initialisation. Such auto-initialisation is considered in this paper. Specifically the automatic location of road lanes. This task has benefits not just in the installation stage but throughout the operating period of the unit, as the ability to automatically locate lanes allows the system to re-calibrate itself in response to changing circumstances without the need for human intervention
Keywords
adaptive systems; calibration; computer vision; image sequences; road traffic; traffic control; adaptive lane finding; adaptive system; auto-initialisation; automatic road lane location; computer vision; image processing; road traffic image analysis; self calibration; traffic flow; video sequences;
fLanguage
English
Publisher
iet
Conference_Titel
Road Traffic Monitoring and Control, 1994., Seventh International Conference on
Conference_Location
London
Type
conf
DOI
10.1049/cp:19940441
Filename
385782
Link To Document