Auto Camera Calibration Method for Person Tracking Applications

  • Bruno Merven
  • Fred Nicolls
  • Gerhard de Jager
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2749)

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.

Keywords

Auto camera calibration person tracking 

References

  1. [1]
    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 2002Google Scholar
  2. [2]
    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 1987CrossRefGoogle Scholar
  3. [3]
    Zhengyou Zhang. “A Flexible New Technique for Camera Calibration.” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol 22, No. 11, 1330–1334. November 2000CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2003

Authors and Affiliations

  • Bruno Merven
    • 1
  • Fred Nicolls
    • 1
  • Gerhard de Jager
    • 1
  1. 1.Department of Electrical EngineeringUniversity of Cape TownRondeboschSouth Africa

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