Eighth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing (SNPD 2007)
A Camera Calibration Strategy in the Video-based Traffic Information Detection
Haier International Training Center, Qingdao, China
July 30-August 01
ISBN: 0-7695-2909-7
DOI Bookmark:
http://doi.ieeecomputersociety.org/10.1109/SNPD.2007.16
In this paper an improved camera calibration algorithm is applied to the video-based traffic information detection. The geometric camera model is set up based on the pin-hole model and Direct Linear Transformation (DLT). Adopting the coplanar condition, we estimate parameters of the model and realize the transform from image coordinates to world coordinates in the end. The problem of control points is discussed. In our experiment, the algorithm has the advantage of high-accuracy and its parameters can be easily estimated. It is proved that the algorithm could meet the requirement of calibration accuracy in the application of the video-based traffic information detection.
Index Terms:
traffic information detection, camera calibration, DLT, 3D reconst
Citation:
Yu Yuan, Jiang Dan, "A Camera Calibration Strategy in the Video-based Traffic Information Detection," snpd, vol. 1, pp.162-166, Eighth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing (SNPD 2007), 2007
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