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Proceedings Paper

Camera calibration and near-view vehicle speed estimation
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Paper Abstract

In this paper, we present an algorithm of estimating new-view vehicle speed. Different from far-view scenario, near-view image provides more specific vehicle information such as body texture and vehicle identifier which makes it practical for individual vehicle speed estimation. The algorithm adopts the idea of Vanishing Point to calibrate camera parameters and Gaussian Mixture Model (GMM) to detect moving vehicles. After calibrating, it transforms image coordinates to the real-world coordinates using a simple model - the Pinhole Model and calculates the vehicle speed in real-world coordinates. Adopting the idea of Vanishing Point, this algorithm only needs two pre-measured parameters: camera height and distance between camera and middle road line, other information such as camera orientation, focal length, and vehicle speed can be extracted from video data.

Paper Details

Date Published: 26 February 2008
PDF: 10 pages
Proc. SPIE 6813, Image Processing: Machine Vision Applications, 681314 (26 February 2008); doi: 10.1117/12.765077
Show Author Affiliations
Futang Peng, Tsinghua Univ. (China)
Changsong Liu, Tsinghua Univ. (China)
Xiaoqing Ding, Tsinghua Univ. (China)


Published in SPIE Proceedings Vol. 6813:
Image Processing: Machine Vision Applications
Kurt S. Niel; David Fofi, Editor(s)

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