DocumentCode
185677
Title
An efficient and practical calibration method for roadside camera using two vanishing points
Author
Yuan Zheng ; Zhenyu He ; Wei-Guo Yang ; Zhang, X.F.
Author_Institution
Sch. of Comput. Sci., Harbin Inst. of Technol., Shenzhen, China
fYear
2014
fDate
18-19 Oct. 2014
Firstpage
65
Lastpage
69
Abstract
Calibrating roadside camera is essential and indispensable for intelligent traffic surveillance systems. Due to the characteristics of the traffic scenes, the traditional camera calibration methods based on calibration patterns are no longer suitable, since there are generally no calibration patterns (e.g. checkerboard) in traffic scenes. In this paper, we propose a simple and practical calibration method for roadside camera, where the vanishing point in the traffic road direction and the vertical vanishing point are employed that can be easily obtained from most traffic scenes. By making full use of video information, the multiple observations of two vanishing points are available. In order to obtain more accurate calibration results, we present a dynamic calibration method that employs these observations to correct camera parameters and substitutes least squares optimization for closed-form computation. The experimental results on real traffic images demonstrate the effectiveness and practicability of the proposed calibration method.
Keywords
calibration; least mean squares methods; natural scenes; optimisation; road traffic; traffic engineering computing; video cameras; video surveillance; camera parameters correction; dynamic calibration method; intelligent traffic surveillance systems; least square optimization; roadside camera calibration method; traffic road direction; traffic scenes; vanishing points; video information processing; Calibration; Cameras; Conferences; Optimization; Roads; Surveillance; Vehicle dynamics;
fLanguage
English
Publisher
ieee
Conference_Titel
Security, Pattern Analysis, and Cybernetics (SPAC), 2014 International Conference on
Conference_Location
Wuhan
Print_ISBN
978-1-4799-5352-3
Type
conf
DOI
10.1109/SPAC.2014.6982658
Filename
6982658
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