DocumentCode :
273342
Title :
TITAN: a traffic measurement system using image processing techniques
Author :
Blosseville, J.M. ; Krafft, C. ; Lenoir, F. ; Motyka, V. ; Beucher, S.
Author_Institution :
Inst. Nat. de Recherche sur les Transp. et leur Securite, Paris, France
fYear :
1989
fDate :
7-9 Feb 1989
Firstpage :
84
Lastpage :
88
Abstract :
Presents the vehicle detection algorithms which have been developed using the traffic images collected from various scenes covering 100-250 m of a three three-lanes freeway. Pictures can be of front or rear views. The algorithms cope with the possibility of using remote controlled cameras. This means that the system includes features which are able to re-calibrate the algorithms and to detect the lanes if an operator has moved the camera. Different luminance and traffic conditions are considered. Emphases are made upon the new `lane detection´ module and analysis of dense traffic and nocturnal traffic
Keywords :
computer vision; computerised monitoring; computerised pattern recognition; computerised picture processing; road traffic; 100 to 250 m; TITAN; computer vision; computerised pattern recognition; computerised picture processing; dense traffic; image processing; lane detection; luminance; nocturnal traffic; remote controlled cameras; road traffic monitoring; traffic measurement system; vehicle detection algorithm;
fLanguage :
English
Publisher :
iet
Conference_Titel :
Road Traffic Monitoring, 1989., Second International Conference on
Conference_Location :
London
Print_ISBN :
0-85296-373-4
Type :
conf
Filename :
19294
Link To Document :
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