On the handling of spatial and temporal scales in feature tracking

  • Lars Bretzner
  • Tony Lindeberg
Regular Papers
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1252)


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    L. S. Shapiro, Affine analysis of image sequences. Cambridge, England: Cambridge University Press, 1995.Google Scholar
  2. 2.
    S. M. Smith and J. M. Brady, “Asset-2: Real-time motion segmentation and shape tracking,” IEEE-PAMI, vol. 17, no. 8, pp. 814–820, 1995.Google Scholar
  3. 3.
    Q. Zheng and R. Chellappa, “Automatic feature point extraction and tracking in image sequences for arbitrary camera motion,” IJCV, vol. 15, no. 1, pp. 31–76, 1995.Google Scholar
  4. 4.
    R. Cipolla and A. Blake, “Surface orientation and time to contact from image divergence and deformation,” in 2nd ECCV, pp. 187–202, Springer-Verlag, 1992.Google Scholar
  5. 5.
    D. Koller, J. Weber, and J. Malik, “Robust multiple car tracking with occlusion reasoning,” in 3th ECCV, pp. 189–196, 1994.Google Scholar
  6. 6.
    O. Faugeras, Three-dimensional computer vision. Cambridge, Massachusetts: MIT Press, 1993.Google Scholar
  7. 7.
    J. J. Koenderink and A. J. van Doorn, “Generic neighborhood operators,” IEEE-PAMI, vol. 14, no. 6, pp. 597–605, 1992.Google Scholar
  8. 8.
    L. M. J. Florack, B. M. ter Haar Romeny, J. J. Koenderink, and M. A. Viergever, “Scale and the differential structure of images,” IVC, vol. 10, no. 6, pp. 376–388, 1992.Google Scholar
  9. 9.
    T. Lindeberg, Scale-Space Theory in Computer Vision. Netherlands: Kluwer, 1994.Google Scholar
  10. 10.
    T. Lindeberg, “On scale selection for differential operators,” in 8th SCIA, pp. 857–866, 1993.Google Scholar
  11. 11.
    A. P. Witkin, “Scale-space filtering,” in 8th IJCAI, pp. 1019–1022, 1983.Google Scholar
  12. 12.
    J. J. Koenderink, “The structure of images,” Biol. Cyb., vol. 50, pp. 363–370, 1984.Google Scholar
  13. 13.
    T. Lindeberg, “Edge detection and ridge detection with automatic scale selection,” in Proc. IEEE Comp. Soc. Conf. on Computer Vision and Pattern Recognition, 1996, (San Francisco, California), pp. 465–470, 1996.Google Scholar
  14. 14.
    L. Kitchen and A. Rosenfeld, “Gray-level corner detection,” Pattern Recognition Letters, vol. 1, no. 2, pp. 95–102, 1982.Google Scholar
  15. 15.
    J. J. Koenderink and W. Richards, “Two-dimensional curvature operators,” JOSA, vol. 5:7, pp. 1136–1141, 1988.Google Scholar
  16. 16.
    T. Lindeberg, “Junction detection with automatic selection of detection scales and localization scales,” in Proc. 1st ICIP, vol. I, pp. 924–928, IEEE Comp. Soc. Press, 1994.Google Scholar
  17. 17.
    M. A. Förstner and E. Gülch, “A fast operator for detection and precise location of distinct points, corners and centers of circular features,” in ISPRS, 1987.Google Scholar
  18. 18.
    L. Bretzner and T. Lindeberg, “Feature tracking with automatic selection of spatial scales,” Tech. Rep. ISRN KTH/NA/P-96/21-SE, KTH, 1996.Google Scholar
  19. 19.
    T. Lindeberg and D. Fagerström, “Scale-space with causal time direction,” in 4th ECCV, vol. 1064, (Cambridge, UK), pp. 229–240, 1996.Google Scholar
  20. 20.
    T. Lindeberg, “On scale selection in the temporal domain.” in preparation, 1996.Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 1997

Authors and Affiliations

  • Lars Bretzner
    • 1
  • Tony Lindeberg
    • 1
  1. 1.Computational Vision and Active Perception Laboratory (CVAP) Department of Numerical Analysis and Computing ScienceKTH (Royal Institute of Technology)StockholmSweden

Personalised recommendations