Title :
Camera calibration for roundabout traffic scenes
Author :
Dinh, Hai ; Tang, Hua
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Alabama Huntsville, Huntsville, AL, USA
Abstract :
In this paper, we present an approach to estimate camera intrinsic and extrinsic parameters for roundabout traffic scenes in intelligent transportation applications. Unlike many previous works on camera calibration for roadway scenes based on the parallel line method, our work addresses camera calibration at roundabout scenes by using a circle. The proposed method can estimate tilt angle, focal length, and camera height by matching the ellipse equation extracted from an image with the perspective-transformed equation of the corresponding circle. Also, only one image is needed for camera calibration. The method is validated with real world roundabout traffic scenes and the results are comparable to those from the parallel line method in terms of accuracy.
Keywords :
automated highways; calibration; cameras; computer vision; elliptic equations; image matching; parameter estimation; road traffic; camera calibration; camera extrinsic parameter estimation; camera height estimation; camera intrinsic parameter estimation; circle; ellipse equation matching; focal length estimation; intelligent transportation applications; parallel line method; perspective-transformed equation; roundabout traffic scenes; tilt angle estimation; Calibration; Cameras; Computer vision; Equations; Fitting; Mathematical model; Vehicles;
Conference_Titel :
Circuits and Systems (MWSCAS), 2012 IEEE 55th International Midwest Symposium on
Conference_Location :
Boise, ID
Print_ISBN :
978-1-4673-2526-4
Electronic_ISBN :
1548-3746
DOI :
10.1109/MWSCAS.2012.6292110