Skip to main content

A Distributed Sensor Network for Video Surveillance of Outdoors

  • Chapter
Multisensor Surveillance Systems

Abstract

New generation surveillance systems [1], [2], [3] require to manage large amounts of visual data (optical, infrared, etc.). Recently, the development of sensor technology and computer networks has contributed to increase the interest in Distributed Sensor Networks (DSNs) for real-time information fusion [4], [5], [6].

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
Hardcover Book
USD 169.99
Price excludes VAT (USA)
  • Durable hardcover 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. C. Regazzoni, V. Ramesh, and G.L. Foresti, “Special issue on video communications, processing, and understanding for third generation surveillance systems”, Proceeding of the IEEE, vol. 89, n. 10, 2001.

    Google Scholar 

  2. R.T Collins, A.J. Lipton, H. Fujiyoshi, and T. Kanade, “Special Section on Video Surveillance”, IEEE Transactions of Pattern Analysis and Machine Intelligence, Vol. 22, n. 8, August 2001.

    Google Scholar 

  3. G.L. Foresti, P. Mahonen and CS. Regazzoni, Multimedia Video-Based Surveillance Systems: from User Requirements to Research Solutions, Kluwer Academic Publishers, 2000.

    Book  Google Scholar 

  4. D.N. Jayasimha, S.S. Iyengar, and R.L. Kashyap, “Information integration and synchronization in distributed sensor netwoks”, IEEE Transactions on System, Man, and Cybernetics, Vol. 21, n. 21, pp. 1032–1043, Sept/Oct 1991.

    Article  Google Scholar 

  5. A. Knoll and J. Meinkoehn, “Data fusion using large multi-agent networks: an analysis of network structure and performance”, in Proceedings of the International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI), pp.113–120, Las Vegas, NV, Oct.2–5 1994.

    Google Scholar 

  6. H Qi, S. Iyengar, and K. Chakrhbarty, “Multiresolution data integration using mobile agents in distributed sensor networks”, IEEE Transaction on Systems, Man, and Cybernetics — Part C: Applications and Reviews, Vol. 31, No. 3, pp. 383–391, 2001.

    Article  Google Scholar 

  7. G.L. Foresti, “Real-time detection of multiple moving objects in complex image sequences”, International Journal of Imaging Systems and Technology, Vol. 10, pp. 305–317, 1999.

    Article  Google Scholar 

  8. G.L. Foresti, “Object recognition and tracking for remote video surveillance”, IEEE Transaction on Circuits and Systems for Video Technology, Vol. 9, No. 7, 1999, pp. 1045–1062.

    Article  Google Scholar 

  9. G.L. Foresti, C. Micheloni, and L. Snidaro, “Adaptive high order neural trees for pattern recognition”, in Proceedings of the International Conference on Pattern Recognition (ICPR), Quebec City, Canada, August 2002.

    Google Scholar 

  10. T. Wada and T. Matsuyama, “Multiobject behavior recognition by event driven selective attention method”, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol.22, n. 8, pp. 873–887, August 2000.

    Article  Google Scholar 

  11. G. Medioni, I. Cohen, F. Brénond, S. Hongeng and R. Nevatia, “Event detection and analysis from video streams”, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 23, n. 8, pp. 873–889, August 2001.

    Article  Google Scholar 

  12. R.  Wesson, F.Hayes-Roth, J.W. Burge, C. Stasz, and C.A. Sunshine, “Network structures for distributed situation assessment”, IEEE Transactions on System, Man, and Cybernetics, Vol. 11, n. 1, pp. 5–23, January 1981.

    Article  Google Scholar 

  13. H.Qi, S. S. Iyengar, K. Chakrabarty, “Distributed Snesor Networks — A review of recent research”, Journal of the Franklin Institute, Vol. 338, pp. 729–750, March 2001.

    Article  Google Scholar 

  14. L. Prasad, S. S. Iyengar, R. L. Kashyap, and R. N. Madan, “Functional characterization of sensor integration in distributed sensor networks”, IEEE Transactions on System, Man, and Cybernetics, Vol.21, n. 5, pp. 1082–1087, Sept/Oct. 1991

    Article  Google Scholar 

  15. S.S. Iyengar, D.N. Jayasimha, and D. Nadig, “A versatile architecture for the distributed sensor integration problem”, IEEE Transactions on Computers, Vol. 43, n. 2, pp. 175–185, February 1994.

    Article  Google Scholar 

  16. R.T. Collins, A.J. Lipton, H. Fujiyoshi and T. Kanade, “A system for video surveillance and monitoring,” Proceedings of the IEEE, Vol. 89, pp. 1456–1477, October 2001.

    Article  Google Scholar 

  17. K. Skiestad and R. Jain, “Illumination independent change detection for real world image sequences”, Computer Vision Graphics and Image Processing, vol. 46, pp. 387–399,1989.

    Article  Google Scholar 

  18. P.L. Rosin and T. Ellis, “Image difference threshold strategies and shadow detection”, in Proceedings of the 6th British Machine Vision Conference. 1995, pp. 347–356, BMVA Press.

    Google Scholar 

  19. L. Snidaro and G.L. Foresti, “Real-time thresholding with Euler numbers”, Pattern Recognition Letters, Vol. 24, n. 9–10, pp. 1533–1544, June 2003.

    Article  MATH  Google Scholar 

  20. C. Micheloni, G.L. Foresti, and L. Snidaro, “A cooperative multi-camera system for video-surveillance of parking lots”, in Proceedings of the IDSS conference, London, February 2003.

    Google Scholar 

  21. M. E. Liggins II, C. Chong, I. Kadar, M. G. Alford, V. Vannicola, S. Thomopoulos, “Distributed fusion architectures and algorithms for target tracking”, Proceedings of the IEEE, Vol. 85, n. 1, pp. 95–107, January 1997.

    Article  Google Scholar 

  22. Z. Chair and P. K. Varshney, “Optimal data fusion in multiple sensors detection systems”, IEEE Transactions on Aerospace and Electronic Systems, Vol. AES-22, pp.98–101, January 1986.

    Article  Google Scholar 

  23. P.K. Varshney, “Distributed Detection and Data Fusion”, Springer-Verlag, 1997

    Book  Google Scholar 

  24. Y. Bar-Shalom and X. Li, “Multitarget-Multisensor Tracking: Principles and Techniques”, YBS Publishing, 1995.

    Google Scholar 

  25. Y. Bar-Shalom and W. D. Blair (editors), “Multitarget multisensor tracking: applications and advances Volume III”, Artech House, 2000.

    Google Scholar 

  26. D. Willner, C.B. Chang, and K.P. Dunn, “Kaiman filter algorithms for a multi-sensor system”, Proceedings of the IEEE Conference on Decision and Control, pp. 570–574, 1978.

    Google Scholar 

  27. K.C. Chang, R.K. Sana, and Y. Bar-Shalom, “On optimal track-to-track fusion”, IEEE Transactions on Aerospace and Electronic Systems, Vol. AES-33, n. 4, pp. 1271–1275, October 1997.

    Article  Google Scholar 

  28. K.C. Chang, Zhi Tian, and R.K. Sana, “Performance evaluation of track fusion with information filter”, in Proceedings of the International Conference on Multisource-Multisensor Information Fusion, pp. 648–655, July 1998.

    Google Scholar 

  29. R. Tsai, “A versatile camera calibration technique for high-accuracy 3D machine vision metrology using off-the-shelf TV cameras and lenses”, IEEE Journal of Robotics and Automation, Vol. RA-3, n. 4, pp. 323–344,1987.

    Article  Google Scholar 

  30. O.D. Faugeras, Q.-T. Luong, S.J. Maybank “Camera Self-Calibration: Theory and Experiments,” Proceedings of European Conference on Computer Vision, pp. 321–334, 1992.

    Google Scholar 

  31. Gary  Bradski, “Computer Vision Face Tracking for Use in a Perceptual Interface”, Intel Technology Journal, 2nd Quarter, 1998.

    Google Scholar 

  32. Dorin Comanesciu, V. Ramesh and Peter Meer, “Real-time Tracking of Non-Rigid Objects using Mean Shift,” IEEE Conference on Computer Vision and Pattern Recognition, Hilton Head, South Carolina, 2000.

    Google Scholar 

  33. S.S. Balckman, “Multiple-target tracking with radar applications”, Artech House, 1986

    Google Scholar 

  34. A.B. Poore, “Multi-dimensional assignment formulation of data association problems arising from multi-target and multi-sensor tracking”, Computational Optimization and Applications, Vol. 3, pp- 27–57, 1994.

    Article  MathSciNet  MATH  Google Scholar 

  35. Alan Lipton, “Local Application of Optic Flow to Analyze Rigid vs Non-Rigid Motion,” in ICCV Workshop on Frame-Rate Vision, Corfu, Greece, September 1999.

    Google Scholar 

  36. I. Mikic, S. Santini, and R. Jain, “Tracking objects in 3d using multiple camera views”, in Proceedings of ACCV, January 2000.

    Google Scholar 

  37. S.L. Dockstader and A.M. Tekalp, “Multiple Camera Tracking of Interacting and Occluded Human Motion”, Proceedings of the IEEE, Vol. 89, n. 10, pp. 1441–1455, 2001.

    Article  Google Scholar 

  38. A. Mittal and L. S. Davis, “M2tracker: A multi-view approach to segmenting and tracking people in a cluttered scene”, International Journal of Computer Vision, vol. 51, no. 3, Feb/March 2003.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2003 Springer Science+Business Media New York

About this chapter

Cite this chapter

Foresti, G.L., Snidaro, L. (2003). A Distributed Sensor Network for Video Surveillance of Outdoors. In: Foresti, G.L., Regazzoni, C.S., Varshney, P.K. (eds) Multisensor Surveillance Systems. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-0371-2_1

Download citation

  • DOI: https://doi.org/10.1007/978-1-4615-0371-2_1

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4613-5043-9

  • Online ISBN: 978-1-4615-0371-2

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics