skip to main content
10.1145/1099396.1099413acmconferencesArticle/Chapter ViewAbstractPublication PagesmmConference Proceedingsconference-collections
Article

An integrated architecture for surveillance and monitoring in an archaeological site

Published:11 November 2005Publication History

ABSTRACT

This paper describes an on-going work aimed at designing and deploying a system for the surveillance and monitoring of an archaeological site, namely the "Valley of the Temples" in Agrigento, Italy. Given the relevance of the site from an artistical and historical point of view, it is important to protect the monuments from malicious or simply incautious behavior; however, the vastity of the area to be monitored and the vague definition of its boundaries make it unpractical to provide extensive coverage through traditional sensors or similar devices. We describe the design of an architecture for the surveillance of the site and for the monitoring of the visitors' behavior consisting in an integrated framework of networked sensors and cameras. Information will be collected by a minimal set of cameras deployed only at critical spots and coupled with higher-performance wireless sensor nodes. Both sets of devices will be supported by more densely deployed lower-cost wireless sensor so that the system will fulfill the concurrent goals of being minimally intrusive and remaining both responsive and efficient. Sensed data will be processed locally whenever possible and convenient, or otherwise sent to a central intelligent unit that will perform further and more sophisticated analyses using a reasoning system, will infer a higher level representation of the outdoor environment, and finally will be able to fine-tune the action of remote devices.

References

  1. Crossbow Technology Inc. http://www.xbow.com.Google ScholarGoogle Scholar
  2. I. Akyildiz, W. Su, Y. Sankarasubramaniam, and E. Cayirci. A survey on sensor networks. IEEE Communication Magazine, 40(8):102--114, Aug. 2002. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. G. Antoniou and F. van Harmelen. Web Ontology Language: OWL. In S. Staab and R. Studer, editors, The Handbook on Ontologies in Information Systems. Springer Verlag, 2003.Google ScholarGoogle Scholar
  4. K. D. Cebulka, M. J. Muller, and C. A. Riley. Applications of artificial intelligence for meeting network management challenges of the 1990s. In Proc. of IEEE Global Telecommunications Conference (GLOBECOM 89), pages 501 -- 506, Dallas, TX, USA, Nov. 1989.Google ScholarGoogle ScholarCross RefCross Ref
  5. R. T. Collins, A. J. Lipton, and T. Kanade. Introduction to the special section on video surveillance. IEEE Trans. on Pattern Analysis and Machine Intelligence, 22(8):745--746, Aug. 2000. Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. R. Cucchiara, C. Grana, M. Piccardi, and A. Prati. Detecting moving objects, ghosts and shadows in video streams. IEEE Trans. on Pattern Analysis and Machine Intelligence, 25(10):1337--1342, Oct. 2003. Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. D. Ganesan, A. Cerpa, Y. Yu, and D. Estrin. Networking issues in wireless sensor networks. Journal of Par. and Distr. Computing, Special Issue on Frontiers in Distributed Sensor Networks, 2004. Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. L. Gatani, G. Lo Re, and M. Ortolani. Monitoring wireless sensor networks through logical deductive processes. In Proc. of IEEE MILCOM05, Atlantic City, NJ, USA, Nov. 2005.Google ScholarGoogle Scholar
  9. L. Girod, J. Elson, A. Cerpa, T. Stathopoulos, N. Ramanathan, and D. Estrin. Emstar: A software environment for developing and deploying wireless sensor networks. In Proc. of USENIX 04, Nov. 2004. Google ScholarGoogle ScholarDigital LibraryDigital Library
  10. E. Grimson and C. Stauffer. Adaptive background mixture models for real time tracking. In Proc. of Computer Vision and Pattern Recognition Conf., 1999.Google ScholarGoogle Scholar
  11. I. Haritaoglu, D. Harwood, and L. Davis. W4: Real-time surveillance of people and their activities. IEEE Trans. on Pattern Analysis and Machine Intelligence, 22(8):809--830, Aug. 2000. Google ScholarGoogle ScholarDigital LibraryDigital Library
  12. J. Hill, R. Szewczyk, A. Woo, S. Hollar, D. E. Culler, and K. S. J. Pister. System architecture directions for networked sensors. In Architectural Support for Programming Languages and Operating Systems, pages 93--104, Boston, MA, USA, Nov. 2000. http://www.tinyos.net. Google ScholarGoogle ScholarDigital LibraryDigital Library
  13. R. Jain. Dynamic scene analysis using pixel-based processes. Computer, 14(8):12--18, 1981.Google ScholarGoogle ScholarDigital LibraryDigital Library
  14. K. Kanatani. Camera rotation invariance of image characteristics. Computer Vision, Graphics, Image Processing, 39(3):328--354, Sep. 1987. Google ScholarGoogle ScholarDigital LibraryDigital Library
  15. D. Murray and A. Basu. Motion tracking with an active camera. IEEE Trans. on Pattern Analysis and Machine Intelligence, 16(5):449--459, May 1994. Google ScholarGoogle ScholarDigital LibraryDigital Library
  16. N. J. Nilson. Artificial Intelligence: A New Synthesis. Morgan Kaufmann, 1998. Google ScholarGoogle ScholarDigital LibraryDigital Library
  17. M. Ortolani, L. Gatani, G. Lo Re, A. Urso, and S. Gaglio. An efficient retransmission strategy for data gathering in wireless sensor networks. In Proc. of IEEE ETFA05, Catania, Italy, Sep. 2005.Google ScholarGoogle ScholarCross RefCross Ref
  18. C. Stauffer and W. Grimson. Learning patterns of activity using real-time tracking. IEEE Trans. on Pattern Analysis and Machine Intelligence, 22(8):747--757, Aug. 2000. Google ScholarGoogle ScholarDigital LibraryDigital Library
  19. C. Wren, A. Azarbayejani, T. Darrell, and A. Pentland. Pfinder: Real-time tracking of the human body. IEEE Trans. on Pattern Analysis and Machine Intelligence, 19(7):780--785, Jul. 1997. Google ScholarGoogle ScholarDigital LibraryDigital Library
  20. K. Yoshinari and M. Michihiko. A human motion estimation method using 3-successive video frames. In Proc. of Int. Conf. On Virtual Systems and Multimedia, pages 135--140, 1996.Google ScholarGoogle Scholar

Index Terms

  1. An integrated architecture for surveillance and monitoring in an archaeological site

            Recommendations

            Comments

            Login options

            Check if you have access through your login credentials or your institution to get full access on this article.

            Sign in
            • Published in

              cover image ACM Conferences
              VSSN '05: Proceedings of the third ACM international workshop on Video surveillance & sensor networks
              November 2005
              168 pages
              ISBN:1595932429
              DOI:10.1145/1099396

              Copyright © 2005 ACM

              Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

              Publisher

              Association for Computing Machinery

              New York, NY, United States

              Publication History

              • Published: 11 November 2005

              Permissions

              Request permissions about this article.

              Request Permissions

              Check for updates

              Qualifiers

              • Article

              Upcoming Conference

              MM '24
              MM '24: The 32nd ACM International Conference on Multimedia
              October 28 - November 1, 2024
              Melbourne , VIC , Australia

            PDF Format

            View or Download as a PDF file.

            PDF

            eReader

            View online with eReader.

            eReader