Skip to main content

Parallel Computation of Optical Flow

  • Conference paper

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 3212))

Abstract

This paper describes a new parallel algorithm to compute the optical flow of a video sequence. A previous sequential algorithm has been distributed over a cluster. It has been implemented in a cluster with 8 nodes connected by means of a Gigabit Ethernet. On this architecture, the algorithm, that computes the optical flow of every image on the sequence, is able of processing 10 images of 720 × 576 pixels per second.

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

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   109.99
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

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Lim, S., Gamal, A.: Optical flow estimation using high frame rate sequences. In: Proceedings of the International Conference on Image Processing (ICIP), vol. 2, pp. 925–928 (2001)

    Google Scholar 

  2. Valentinotti, F., Di Caro, G., Crespi, B.: Real-time parallel computation of disparity and optical flow using phase difference. Machine Vision and Applications 9, 87–96 (1996)

    Article  Google Scholar 

  3. Kohlberger, T., Schnrr, C., Bruhn, A., Weickert, J.: Domain decomposition for parallel variational optical flow computation. In: Michaelis, B., Krell, G. (eds.) DAGM 2003. LNCS, vol. 2781, pp. 196–202. Springer, Heidelberg (2003)

    Chapter  Google Scholar 

  4. Zelek, J.: Bayesian real-time optical flow. In: Proceedings of the 15th International Conference on Vision Interface, pp. 266–273 (2002)

    Google Scholar 

  5. Barron, J., Fleet, D.: Performance of optical flow techniques. International Journal of Computer Vision 12, 43–77 (1994)

    Article  Google Scholar 

  6. Lucas, B., Kanake, T.: An iterative image registration technique with an application to stereo vision. In: Proceedings of the 7th International Joint Conference on Artificial Intelligence (IJCAI), pp. 674–679 (1981)

    Google Scholar 

  7. Galvin, B., McCane, B., Novins, K., Mason, D., Mills, S.: Recovering motion fields: An evaluation of eight optical flow algorithms. In: Proceedings of the 9th British Machine Vision Conference, pp. 195–204 (1998)

    Google Scholar 

  8. Correia, M., Campilho, A., Santos, J., Nunes, L.: Optical flow techniques applied to the calibration of visual perception experiments. In: Proceedings of the 13th Int. Conference on Pattern Recognition, ICPR 1996, vol. 1, pp. 498–502 (1996)

    Google Scholar 

  9. Correia, M., Campilho, A.: Real-time implementation of an optical flow algorithm. In: Proceedings of the 16th Int. Conference on Pattern Recognition, ICPR 2002, vol. IV, pp. 247–250 (2002)

    Google Scholar 

  10. Simoncelli, E., Adelson, E., Heeger, D.: Probability distributions of optical flow. In: IEEE Conference on Computer Vision and Pattern Recognition, pp. 310–315 (1991)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2004 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Dopico, A.G., Correia, M.V., Santos, J.A., Nunes, L.M. (2004). Parallel Computation of Optical Flow. In: Campilho, A., Kamel, M. (eds) Image Analysis and Recognition. ICIAR 2004. Lecture Notes in Computer Science, vol 3212. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30126-4_49

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-30126-4_49

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-23240-7

  • Online ISBN: 978-3-540-30126-4

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics