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

Skip to main content

Distributed Multi-camera Surveillance for Aircraft Servicing Operations

  • Conference paper
Advances in Visual Computing (ISVC 2005)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 3804))

Included in the following conference series:

  • 1773 Accesses

Abstract

This paper presents the visual surveillance aspects of a distributed intelligent system that has been developed in the context of aircraft activity monitoring. The overall tracking system comprises three main modules — Motion Detection, Object Tracking and Data Fusion. In this paper we primarily focus on the object tracking and data fusion modules.

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. Bar-Shalom, Y., Li, X.: Multitarget-Multisensor Tracking: Principles and Techniques. YBS Publishing (1995)

    Google Scholar 

  2. Sullivan, G.D.: Visual interpretation of known objects in constrained scenes. Phil. Trans. R. Soc. Lon. Volume B 337, 361–370 (1992)

    Article  Google Scholar 

  3. Wren, C.R., Azarbayejani, A., Darrell, T., Pentland, A.: Pfinder: Real-time tracking of the human body. IEEE Transactions on PAMI 19(7), 780–785 (1997)

    Google Scholar 

  4. Shi, J., Tomasi, C.: Good features to track. In: Proc. of IEEE Conference on Computer Vision and Pattern Recognition, pp. 593–600 (1994)

    Google Scholar 

  5. Thirde, D., Borg, M., Valentin, V., Fusier, F., Aguilera, J., Ferryman, J., Brémond, F., Thonnat, M., Kampel, M.: Visual surveillance for aircraft activity monitoring. In: Proc. Joint IEEE Int. Workshop on VS-PETS, Beijing (2005)

    Google Scholar 

  6. Aguilera, J., Wildernauer, H., Kampel, M., Borg, M., Thirde, D., Ferryman, J.: Evaluation of motion segmentation quality for aircraft activity surveillances. In: Proc. Joint IEEE Int. Workshop on VS-PETS, Beijing (2005)

    Google Scholar 

  7. Horprasert, T., Harwood, D., Davis, L.: A statistical approach for real-time robust background subtraction and shadow detection. In: IEEE ICCV 1999 FRAME-RATE Workshop (1999)

    Google Scholar 

  8. Xu, G., Zhang, Z.: Epipolar Geometry in Stereo, Motion and Object Recognition: A Unified Approach. Kluwer Academic Publ., Dordrecht (1996)

    MATH  Google Scholar 

  9. Collins, R., Lipton, A., Kanade, T., Fujiyoshi, H., Duggins, D., Tsin, Y., Tolliver, D., Enomoto, N., Hasegawa, O., Burt, P., Wixson, L.: A system for video surveillance and monitoring. Tech. Report CMU-RI-TR-00-12 (2002)

    Google Scholar 

  10. Ferryman, J.M., Worrall, A.D., Maybank, S.J.: Learning enhanced 3d models for vehicle tracking. In: Proc. of the British Machine Vision Conference (1998)

    Google Scholar 

  11. Ohba, K., Ikeuchi, K.: Detectability, uniqueness, and reliability of eigen windows for stable verification of partially occluded objects. IEEE Transactions on Pattern Analysis and Machine Intelligence 19(9), 1043–1048 (1997)

    Article  Google Scholar 

  12. Thirde, D., Borg, M., Aguilera, J., Ferryman, J., Baker, K., Kampel, M.: Evaluation of object tracking for aircraft activity surveillance. In: Proc. Joint IEEE Int. Workshop on VS-PETS, Beijing (2005)

    Google Scholar 

  13. Black, J., Ellis, T.: Multi Camera Image Measurement and Correspondence. Measurement - Journal of the International Measurement Confederation 35(1), 61–71 (2002)

    Google Scholar 

  14. Black, J., Ellis, T., Rosin, P.: A Novel Method for Video Tracking Performance Evaluation. In: Joint IEEE Int. Workshop on VS-PETS, Nice, France, pp. 125–132 (2003)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2005 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Thirde, D., Borg, M., Ferryman, J., Aguilera, J., Kampel, M. (2005). Distributed Multi-camera Surveillance for Aircraft Servicing Operations. In: Bebis, G., Boyle, R., Koracin, D., Parvin, B. (eds) Advances in Visual Computing. ISVC 2005. Lecture Notes in Computer Science, vol 3804. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11595755_15

Download citation

  • DOI: https://doi.org/10.1007/11595755_15

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-30750-1

  • Online ISBN: 978-3-540-32284-9

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics