Skip to main content
SpringerLink
Log in
Book cover

International Conference on Computer Analysis of Images and Patterns

CAIP 1993: Computer Analysis of Images and Patterns pp 363–370Cite as

Visual motion estimation from image contour tracking

  • Motion
  • Conference paper
  • First Online:

  • 145 Accesses

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 719))

Abstract

An approach to visual motion estimation and its stabilization suitable for longitudinal camera motion is proposed. Closed contours with their image pair-like displacements in a short image sequence are detected. The contour length change rate is estimated allowing the first stabilization step — a weighted averaging of displacements. Two further steps follow — the grouping of similarly moving neighbour contours and an adaptive motion estimation in a long image sequence.

This is a preview of subscription content, log in via an institution.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Enkelmann W., Kories R., Nagel H.-H., Zimmermann G.: An Experimental Investigation of Estimation Approaches for Optical Flow Fields. In: [Martin W.N., Aggarwal J.K.: Motion Understanding. Robot and Human Vision, Kluwer Academic Publ., Boston etc., 1988], 189–226.

    Google Scholar 

  2. Salari V., Sethi I.K.: Feature Point Correspondence in the Presence of Occlusion; IEEE Trans. Patt Anal Mach Intell, 12 (1990), No.1, 87–91.

    Google Scholar 

  3. Jain R.: Dynamic Vision. Proceedings of the ICPR-88 (Rome, Italy, September 1988), 226–235.

    Google Scholar 

  4. Karmann K.-P., von Brandt A.: Moving Object Recognition Using an Adaptive Background Memory. In: Cappellini V. (ed.): Time-Varying Image Processing and Moving Object Recognition Vol. 2., Elsevier Science Publ., 1990, 289–296.

    Google Scholar 

  5. Dickmanns E.D., Graefe V., Applications of Dynamic Monocular Machine Vision, Machine Vision and Applications, 1988, No. 1, 241–261.

    Google Scholar 

  6. Kirchner H.: Blockmatching with Column and Row Oriented Optimization, In: Cappellini V. (Ed.): Proc. 3rd Int. Workshop on Time-Varying Image Processing and Moving Object Recognition, 1989, 280–288.

    Google Scholar 

  7. Niemann H.: Pattern Analysis and Understanding. Springer, Berlin etc., 1990.

    Google Scholar 

  8. Kasprzak W.: Translational Motion or Depth from Segmentation in Image-Time space, In: Pavesic N., Niemann H., Paulus D.: Image Processing and Stereo Analysis, University of Erlangen-Nuremberg, IMMD-Research Reports, Vol. 26(1993), No.1, pp. 73–97.

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Bavarian Research Center for Knowledge-Based Systems (FORWISS), Am Weichselgarten 7, D-91058, Erlangen

    Włodzimierz Kasprzak & Heinrich Niemann

Authors
  1. Włodzimierz Kasprzak
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Heinrich Niemann
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Dmitry Chetverikov Walter G. Kropatsch

Rights and permissions

Reprints and permissions

Copyright information

© 1993 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Kasprzak, W., Niemann, H. (1993). Visual motion estimation from image contour tracking. In: Chetverikov, D., Kropatsch, W.G. (eds) Computer Analysis of Images and Patterns. CAIP 1993. Lecture Notes in Computer Science, vol 719. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-57233-3_48

Download citation

  • DOI: https://doi.org/10.1007/3-540-57233-3_48

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-57233-6

  • Online ISBN: 978-3-540-47980-2

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics

Search

Navigation