DocumentCode
1661504
Title
A simple camera calibration method for vehicle velocity estimation
Author
Viet-Hoa Do ; Le-Hoa Nghiem ; Ngoc Pham Thi ; Nam Pham Ngoc
Author_Institution
Embedded Syst. & Reconfigurable Comput. Lab., Hanoi Univ. of Sci. & Technol., Hanoi, Vietnam
fYear
2015
Firstpage
1
Lastpage
5
Abstract
Camera calibration is an essential step in vision-based vehicle speed measurement systems. In this paper, a simple, easy, and robust camera calibration method for vehicle speed measurement is proposed. First, the camera is installed at any position that can cover the desired traffic images. After that, an equilateral triangle is drawn on the ground within the view scene of the camera as a reference object. Then, the image of the triangle captured by the traffic camera is used to determine the camera parameters. The main advantage of our method is that it requires very little effort put into installing the camera and can be used in any road conditions. In order to prove the advantages of our method, we use the found camera parameters with the motion vectors of traffic video frames estimated by the optical flow algorithm to calculate the real moving speed of vehicles. Our experimental results have shown that the proposed method is reliable and easy to use.
Keywords
calibration; cameras; image motion analysis; road traffic; road vehicles; vectors; velocity measurement; equilateral triangle; motion vector parameter; optical flow algorithm; road traffic; simple camera calibration method; traffic video frame estimation; vehicle velocity estimation; visionbased vehicle speed measurement systems; Calibration; Cameras; Mathematical model; Optical imaging; Roads; Vehicles; Velocity measurement; Camera calibration; Motion estimation; Optical flow; Speed estimation; Traffic camera;
fLanguage
English
Publisher
ieee
Conference_Titel
Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON), 2015 12th International Conference on
Conference_Location
Hua Hin
Type
conf
DOI
10.1109/ECTICon.2015.7207027
Filename
7207027
Link To Document