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