PTZ Camera Modeling and Panoramic View Generation via Focal Plane Mapping

  • Karthik Sankaranarayanan
  • James W. Davis
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6493)

Abstract

We present a novel technique to accurately map the complete field-of-coverage of a camera to its pan-tilt space in an efficient manner. This camera model enables mapping the coordinates of any (x,y) point in the camera’s current image to that point’s corresponding orientation in the camera’s pan-tilt space. The model is based on the elliptical locus of the projections of a fixed point on the original focal plane of a moving camera. The parametric location of this point along the ellipse defines the change in camera orientation. The efficiency of the model lies in the fast and automatic mapping technique. We employ the proposed model to generate panoramas and evaluate the mapping procedure with multiple PTZ surveillance cameras.

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References

  1. 1.
    Davis, J., Chen, X.: Calibrating pan-tilt cameras in wide-area surveillance networks. In: Proc. ICCV (2003)Google Scholar
  2. 2.
    Jain, A., Kopell, D., Wang, Y.: Using stationary-dynamic camera assemblies for wide-area video surveillance and selective attention. In: Proc. IEEE CVPR (2006)Google Scholar
  3. 3.
    Bernardin, K., van de Camp, F., Stiefelhagen, R.: Automatic person detection and tracking using fuzzy controlled active cameras. In: Proc. IEEE CVPR (2007)Google Scholar
  4. 4.
    Jethwa, M., Zisserman, A., Fitzgibbon, A.: Real-time panoramic mosaics and augmented reality. In: Proc. BMVC (1998)Google Scholar
  5. 5.
    Tordoff, B., Murray, D.: Reactive control of zoom while fixating using perspective and affine cameras. IEEE TPAMI 26, 98–112 (2004)CrossRefGoogle Scholar
  6. 6.
    Sankaranarayanan, K., Davis, J.: An efficient active camera model for video surveillance. In: Proc. WACV (2008)Google Scholar
  7. 7.
    Basu, A., Ravi, K.: Active camera calibration using pan, tilt and roll. IEEE Trans. Sys., Man and Cyber. 27, 559–566 (1997)CrossRefGoogle Scholar
  8. 8.
    Collins, R., Tsin, Y.: Calibration of an outdoor active camera system. In: Proc. IEEE CVPR, vol. I, pp. 528–534 (1999)Google Scholar
  9. 9.
    Fry, S., Bichsel, M., Muller, P., Robert, D.: Tracking of flying insects using pan-tilt cameras. Journal of Neuroscience Methods 101, 59–67 (2000)CrossRefGoogle Scholar
  10. 10.
    Woo, D., Capson, D.: 3D visual tracking using a network of low-cost pan/tilt cameras. In: Canadian Conf. on Elec. and Comp. Engineering, vol. 2, pp. 884–889 (2000)Google Scholar
  11. 11.
    Barreto, J., Araujo, H.: A general framework for the selection of world coordinate systems in perspective and catadioptric imaging applications. IJCV 57 (2004)Google Scholar
  12. 12.
    Sinha, S., Pollefeys, M.: Pan-tilt-zoom camera calibration and high-resolution mosaic generation. Comp. Vis. and Image Understanding 103, 170–183 (2006)CrossRefGoogle Scholar
  13. 13.
    Lowe, D.G.: Distinctive image features from scale-invariant keypoints. IJCV (2004)Google Scholar
  14. 14.
    Fischler, M., Bolles, R.: Random sample consensus: a paradigm for model fitting. Communications of the ACM Archive 24, 381–395 (1981)CrossRefGoogle Scholar
  15. 15.
    Tordoff, B., Murray, D.: The impact of radial distortion on the self-calibration of rotating cameras (Comp. Vis. and Image Understanding)Google Scholar
  16. 16.
    Hartley, R., Zisserman, A.: Multiple View Geometry in Computer Vision. Cambridge University Press, Cambridge (2000) ISBN: 0521623049MATHGoogle Scholar
  17. 17.
    Weiss, Y.: Deriving intrinsic images from image sequences. In: Proc. ICCV (2001)Google Scholar
  18. 18.
    Porikli, F., Tuzel, O., Meer, P.: Covariance tracking using model update based on means on Riemannian manifolds. In: Proc. IEEE CVPR (2006)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Karthik Sankaranarayanan
    • 1
  • James W. Davis
    • 1
  1. 1.Dept. of Computer Science and EngineeringOhio State UniversityColumbusUSA

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