Paper
26 October 2013 Automatic camera calibration method based on dashed lines
Author Affiliations +
Proceedings Volume 8921, MIPPR 2013: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications; 892112 (2013) https://doi.org/10.1117/12.2031362
Event: Eighth International Symposium on Multispectral Image Processing and Pattern Recognition, 2013, Wuhan, China
Abstract
We present a new method for full-automatic calibration of traffic cameras using the end points on dashed lines. Our approach uses the improved RANSAC method with the help of pixels transverse projection to detect the dashed lines and end points on them. Then combining analysis of the geometric relationship between the camera and road coordinate systems, we construct a road model to fit the end points. Finally using two-dimension calibration method we can convert pixels in image to meters along the ground truth lane. On a large number of experiments exhibiting a variety of conditions, our approach performs well, achieving less than 5% error in measuring test lengths in all cases.
© (2013) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Xiuhua Li, Guoyou Wang, and Jianguo Liu "Automatic camera calibration method based on dashed lines", Proc. SPIE 8921, MIPPR 2013: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications, 892112 (26 October 2013); https://doi.org/10.1117/12.2031362
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KEYWORDS
Calibration

Cameras

Roads

Data modeling

Image processing

Imaging systems

Roentgenium

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