Abstract
Jones [1] recently presented a novel calibration procedure that uses a linearized model of the projection of the height of a person to recover the image-plane to local-ground- plane transformation with minimum expert intervention. In this paper we present an addition to the work of Jones [1], by further reducing the measurements needed to be made manually to de ne the image-plane to ground-plane homography. We also do an analysis of the sensitivity of the recovered transformation to errors in measurements and noise, and point out how to use the method to achieve best calibration results.
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References
G.A. Jones, J. Renno and P. Remagnino. “Auto-calibration in Multiple-Camera Surveillance Environments”. Proceedings 3rd IEEE Int. Workshop on PETS, Copenhagen, June 1 2002
Roger Y. Tsai. “A versatile Camera Calibration Technique for High-Accuracy 3D Machine Vision Metrology Using Off-the-Shelf TV Cameras and Lenses”. IEEE Journal of Robotics and Automation, RA-3(4):323–344, August 1987
Zhengyou Zhang. “A Flexible New Technique for Camera Calibration.” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol 22, No. 11, 1330–1334. November 2000
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© 2003 Springer-Verlag Berlin Heidelberg
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Merven, B., Nicolls, F., de Jager, G. (2003). Auto Camera Calibration Method for Person Tracking Applications. In: Bigun, J., Gustavsson, T. (eds) Image Analysis. SCIA 2003. Lecture Notes in Computer Science, vol 2749. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45103-X_13
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DOI: https://doi.org/10.1007/3-540-45103-X_13
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