OSA's Digital Library

Chinese Optics Letters

Chinese Optics Letters


  • Vol. 3, Iss. 2 — Feb. 10, 2005
  • pp: 69–72

A universal method for camera calibration in UITS scenes

Zhaoxue Chen and Pengfei Shi  »View Author Affiliations

Chinese Optics Letters, Vol. 3, Issue 2, pp. 69-72 (2005)

View Full Text Article

Acrobat PDF (191 KB)

Browse Journals / Lookup Meetings

Browse by Journal and Year


Lookup Conference Papers

Close Browse Journals / Lookup Meetings

Article Tools

  • Export Citation/Save Click for help


A universal approach to camera calibration based on features of some representative lines on traffic ground is presented. It uses only a set of three parallel edges with known intervals and one of their intersected lines with known slope to gain the focal length and orientation parameters of a camera. A set of equations that computes related camera parameters has been derived from geometric properties of the calibration pattern. With accurate analytical implementation, precision of the approach is only decided by accuracy of the calibration target selecting. Final experimental results have showed its validity by a snapshot from real automatic visual traffic surveillance (AVTS) scenes.

© 2005 Chinese Optics Letters

OCIS Codes
(100.0100) Image processing : Image processing
(100.2000) Image processing : Digital image processing
(100.6890) Image processing : Three-dimensional image processing

Zhaoxue Chen and Pengfei Shi, "A universal method for camera calibration in UITS scenes," Chin. Opt. Lett. 3, 69-72 (2005)

Sort:  Author  |  Year  |  Journal  |  Reset


  1. Z. X. Chen and P. F. Shi, Chin. Opt. Lett. 1, 585 (2003).
  2. N. H. C. Yung, G. K. H. Pang, and G. S. K. Fung, Proc. 7th World Congress on Intelligence Transportation Systems 3024 (2000).
  3. R. Y. Tsai, IEEE J. Robotics and Automation RA-3, 323 (1987).
  4. E. K. Bas and J. D. Crisman, in Proceedings of IEEE Conference on Intelligent Transportation Systems 362 (1997).
  5. L. L. Wang and W. H. Tsai, IEEE Trans. Pattern Analysis and Machine Intelligence 13, 370 (1991).

Cited By

OSA is able to provide readers links to articles that cite this paper by participating in CrossRef's Cited-By Linking service. CrossRef includes content from more than 3000 publishers and societies. In addition to listing OSA journal articles that cite this paper, citing articles from other participating publishers will also be listed.

« Previous Article  |  Next Article »

OSA is a member of CrossRef.

CrossCheck Deposited