Nothing Special   »   [go: up one dir, main page]

Skip to main content

Motion Guided Video Sequence Synchronization

  • Conference paper
Computer Vision – ACCV 2006 (ACCV 2006)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 3852))

Included in the following conference series:

Abstract

We present an algorithm that synchronizes two short video sequences where an object undergoes ballistic motion against stationary scene points. The object’s motion and epipolar geometry are exploited to guide the algorithm to the correct synchronization in an iterative manner. Our algorithm accurately synchronizes videos recorded at different frame rates, and takes few iterations to converge to sub-frame accuracy. We use synthetic data to analyze our algorithm’s accuracy under the influence of noise. We demonstrate that it accurately synchronizes real video sequences, and evaluate its performance against manual synchronization.

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

Access this chapter

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

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

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Similar content being viewed by others

References

  1. Rao, C., Gritai, A., Shah, M., Syeda-Mahmood, T.: View-invariant alignment and matching of video sequences. In: Proceedings of International Conference on Computer Vision (2003)

    Google Scholar 

  2. Kitahara, I., Saito, H., Akimichi, S., Onno, T., Ohta, Y., Kanade, T.: Large-scale virtualized reality. In: Computer Vision and Pattern Recognition Technical Sketches (2001)

    Google Scholar 

  3. Tresadern, P.A., Reid, I.: Synchronizing image sequences of non-rigid objects. In: Proceedings of British Machine Vision Conference (2003)

    Google Scholar 

  4. Caspi, Y., Irani, M.: Spatio-temporal alignment of sequences. IEEE Transactions on Pattern Analysis and Machine Intelligence 24, 1409–1424 (2002)

    Article  Google Scholar 

  5. Hartley, R., Zisserman, A.: Multiple View Geometry in Computer Vision, 2nd edn. Cambridge University Press, Cambridge (2004)

    MATH  Google Scholar 

  6. Reid, I.D., Zisserman, A.: Goal-directed video metrology. In: Buxton, B.F., Cipolla, R. (eds.) ECCV 1996. LNCS, vol. 1065, pp. 647–658. Springer, Heidelberg (1996)

    Google Scholar 

  7. Stein, G.P.: Tracking from multiple view points: Self-calibration of space and time. In: Proceedings of Computer Vision and Pattern Recognition, pp. 521–527 (1999)

    Google Scholar 

  8. Lee, L., Romano, R., Stein, G.: Monitoring activities from multiple video streams: Establishing a common coordinate frame. IEEE Transactions on Pattern Analysis and Machine Intelligence 22, 758–767 (2000)

    Article  Google Scholar 

  9. Pooley, D.W., Brooks, M.J., van den Hengel, A.J., Chojnacki, W.: A voting scheme for estimating the synchrony of moving-camera videos. In: Proceedings of ICIP (2003)

    Google Scholar 

  10. Carceroni, R.L., Pádua, F.L.C., Santos, G.A.M.R., Kutulakos, K.N.: Linear sequence-to-sequence alignment. In: Proceedings of CVPR, vol. 1, pp. 746–753 (2004)

    Google Scholar 

  11. Fischler, M.A., Bolles, R.C.: Random sample consensus: A paradigm for model fitting with applications to image analysis and automated cartography. Communications of the ACM 24, 381–395 (1981)

    Article  MathSciNet  Google Scholar 

  12. Tuytelaars, T., Van Gool, L.: Synchronizing video sequences. Computer Vision and Pattern Recognition, 762–768 (2004)

    Google Scholar 

  13. Wolf, L., Zomet, A.: Correspondence-free synchronization and reconstruction in a non-rigid scene. In: ECCV Workshop on Vision and Modelling of Dynamic Scenes (2002)

    Google Scholar 

  14. Giese, M.A., Poggio, T.: Synthesis and recognition of biological motion patterns based on linear superposition of prototypical motion sequences. In: Proceedings of the IEEE Workshop on Multi-View Modeling and Analysis of Visual Scene, pp. 73–80 (1999)

    Google Scholar 

  15. Yan, J., Pollefeys, M.: Video synchronization via space-time interest point distribution. In: Proceedings of Advanced Concepts for Intelligent Vision Systems (2004)

    Google Scholar 

  16. Laptev, I., Lindeberg, T.: Space-time interest points. In: Proceedings of International Conference on Computer Vision, vol. 1, pp. 432–439 (2003)

    Google Scholar 

  17. Sinha, S.N., Pollefeys, M.: Synchronization and calibration of camera networks from silhouettes. In: International Conference on Pattern Recognition (2004)

    Google Scholar 

  18. Wedge, D., Huynh, D., Kovesi, P.: Tracking footballs through clutter in broadcast digital videos. In: Image and Vision Computing, New Zealand, pp. 155–160 (2004)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2006 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Wedge, D., Huynh, D., Kovesi, P. (2006). Motion Guided Video Sequence Synchronization. In: Narayanan, P.J., Nayar, S.K., Shum, HY. (eds) Computer Vision – ACCV 2006. ACCV 2006. Lecture Notes in Computer Science, vol 3852. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11612704_83

Download citation

  • DOI: https://doi.org/10.1007/11612704_83

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-31244-4

  • Online ISBN: 978-3-540-32432-4

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics