DocumentCode :
2653886
Title :
Mathematical theory of image straightening with applications to camera calibration
Author :
Cathey, F.W. ; Dailey, D.J.
Author_Institution :
Dept. of Electr. Eng., Washington Univ., Seattle, WA
fYear :
2006
fDate :
17-20 Sept. 2006
Firstpage :
1364
Lastpage :
1369
Abstract :
Extracting quantitative measures from roadway camera images requires calibration of the camera. Roadway features such as fog lines and lane boundaries can provide the information necessary to calibrate the cameras on the fly. In addition, "straightening" the image allows for linear measurements in the image which in turn allows the use of linear correlation to measure features and traffic speed. This paper presents the theory for straightening and camera calibration
Keywords :
calibration; image processing; mathematical analysis; road traffic; camera calibration; image straightening; mathematical theory; roadway camera image; Calibration; Data mining; Electric variables measurement; Intelligent transportation systems; Layout; Pixel; Road transportation; Smart cameras; Vehicles; Velocity measurement;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Transportation Systems Conference, 2006. ITSC '06. IEEE
Conference_Location :
Toronto, Ont.
Print_ISBN :
1-4244-0093-7
Electronic_ISBN :
1-4244-0094-5
Type :
conf
DOI :
10.1109/ITSC.2006.1707413
Filename :
1707413
Link To Document :
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