Skip to main content

Coarse-to-Fine Tracking of Articulated Objects Using a Hierarchical Spring System

  • Conference paper
Computer Analysis of Images and Patterns (CAIP 2009)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 5702))

Included in the following conference series:

Abstract

Tracking of articulated objects is a challenging task in Computer Vision. A highly target specific model can improve the robustness of the tracking by eliminating or reducing the ambiguities in the association task. This paper presents a flexible framework, which allows to build target specific, part-based models for arbitrary articulated objects. The rigid parts are described by hierarchical spring systems in form of attributed graph pyramids and connected via articulation points, which transfer position information between the adjacent parts.

Partially supported by the Austrian Science Fund under grants P18716-N13 and S9103-N13.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Fischler, M.A., Elschlager, R.A.: The representation and matching of pictorial structures. Transactions on Computers 22, 67–92 (1973)

    Article  Google Scholar 

  2. Felzenszwalb, P.F.: Pictorial structures for object recognition. IJCV 61, 55–79 (2005)

    Article  Google Scholar 

  3. Ramanan, D., Forsyth, D.: Finding and tracking people from the bottom up. In: CVPR, vol. 2, pp. 467–474. IEEE, Los Alamitos (2003)

    Google Scholar 

  4. Mauthner, T., Donoser, M., Bischof, H.: Robust tracking of spatial related components. In: ICPR, pp. 1–4. IEEE, Los Alamitos (2008)

    Google Scholar 

  5. Artner, N., Ion, A., Kropatsch, W.G.: Tracking objects beyond rigid motion. In: GbR. Springer, Heidelberg (2009)

    Google Scholar 

  6. Gavrila, D.M.: The visual analysis of human movement: A survey. CVIU 73(1), 82–980 (1999)

    MATH  Google Scholar 

  7. Moeslund, T.B., Hilton, A., Krger, V.: A survey of advances in vision-based human motion capture and analysis. CVIU 104(2-3), 90–126 (2006)

    Google Scholar 

  8. Aggarwal, J.K., Cai, Q.: Human motion analysis: A review. CVIU 73(3), 428–440 (1999)

    Google Scholar 

  9. Comaniciu, D., Meer, P.: Mean shift: A robust approach toward feature space analysis. PAMI 24(5), 603–619 (2002)

    Google Scholar 

  10. Porikli, F., Tuzel, O., Meer, P.: Covariance tracking using model update based on lie algebra. In: CVPR, June 2006, vol. 1, pp. 728–735 (2006)

    Google Scholar 

  11. Tuzel, O., Porikli, F., Meer, P.: Region covariance: A fast descriptor for detection and classification. In: Leonardis, A., Bischof, H., Pinz, A. (eds.) ECCV 2006. LNCS, vol. 3952, pp. 589–600. Springer, Heidelberg (2006)

    Chapter  Google Scholar 

  12. Kropatsch, W.G., Haxhimusa, Y., Pizlo, Z., Langs, G.: Vision pyramids that do not grow too high. Pattern Recognition Letters 26(3), 319–337 (2005)

    Article  Google Scholar 

  13. Mármol, S.B.L., Artner, N.M., Ion, A., Kropatsch, W.G., Beleznai, C.: Video object segmentation using graphs. In: Ruiz-Shulcloper, J., Kropatsch, W.G. (eds.) CIARP 2008. LNCS, vol. 5197, pp. 733–740. Springer, Heidelberg (2008)

    Chapter  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2009 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Artner, N., Ion, A., Kropatsch, W. (2009). Coarse-to-Fine Tracking of Articulated Objects Using a Hierarchical Spring System. In: Jiang, X., Petkov, N. (eds) Computer Analysis of Images and Patterns. CAIP 2009. Lecture Notes in Computer Science, vol 5702. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-03767-2_123

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-03767-2_123

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-03766-5

  • Online ISBN: 978-3-642-03767-2

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics