A CAMERA AUTO-CALIBRATION ALGORITHM FOR REALTIME ROAD TRAFFIC ANALYSIS

Juan Carlos Tocino Diaz, Quentin Houben, Jacek Czyz, Olivier Debeir, Nadine Warzée

Abstract

This paper presents a new mono-camera system for traffic surveillance. It uses an original algorithm to obtain automatically a calibration pattern from road lane markings. Movement detection is done with a ∑ - ∆ background estimation which is a non linear method of background substraction based on comparison and elementary increment/decrement. Foreground and calibration data obtained allow to determine vehicles speed in an efficient manner. Finally, a new method to estimate the height of vehicles is presented.

References

  1. Dickinson, K.W., and Wan, C. (1989). Road traffic monitoring using the trip ii system. In Second International Conference on Road Traffic Monitoring.
  2. Fung, G. S. K., Yung, N. H. C., and Pang, G. K. H. (2003). Camera calibration from road lane markings. Optical Engineering, 42(10).
  3. He, X. C. and Yung, N. H. C. (2007). New method for overcoming ill-conditioning in vanishing-point-based camera calibration. Optical Engineering, 46(3).
  4. Tan, X., Li, J., and Liu, C. (2007). A video-based real-time vehicle detection method by classified background learning. World Transactions on Engineering and Technology Education.
  5. Kastrinaki, V., Zervakis, M., and Kalaitzakis, K. (2003). A survey of video processing techniques for traffic applications. Image and Vision Computing, 21:359-381.
  6. Manzanera, A. (2008). Progress in Pattern Recognition, Image Analysis and Applications, volume 4756/2008 of Lecture Notes in Computer Science, chapter S D Background Subtraction and the Zipf Law, pages 42- 51.
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Paper Citation


in Harvard Style

Carlos Tocino Diaz J., Houben Q., Czyz J., Debeir O. and Warzée N. (2009). A CAMERA AUTO-CALIBRATION ALGORITHM FOR REALTIME ROAD TRAFFIC ANALYSIS . In Proceedings of the Fourth International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2009) ISBN 978-989-8111-69-2, pages 626-631. DOI: 10.5220/0001803906260631


in Bibtex Style

@conference{visapp09,
author={Juan Carlos Tocino Diaz and Quentin Houben and Jacek Czyz and Olivier Debeir and Nadine Warzée},
title={A CAMERA AUTO-CALIBRATION ALGORITHM FOR REALTIME ROAD TRAFFIC ANALYSIS},
booktitle={Proceedings of the Fourth International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2009)},
year={2009},
pages={626-631},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001803906260631},
isbn={978-989-8111-69-2},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Fourth International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2009)
TI - A CAMERA AUTO-CALIBRATION ALGORITHM FOR REALTIME ROAD TRAFFIC ANALYSIS
SN - 978-989-8111-69-2
AU - Carlos Tocino Diaz J.
AU - Houben Q.
AU - Czyz J.
AU - Debeir O.
AU - Warzée N.
PY - 2009
SP - 626
EP - 631
DO - 10.5220/0001803906260631