Skip to main content

DSO Cognitive Architecture in Mobile Surveillance

  • Conference paper
Future Security (Future Security 2012)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 318))

Included in the following conference series:

  • 2900 Accesses

Abstract

The paper presents the usage of a prototype DSO cognitive architecture (DSO-CA) for mobile surveillance. DSO-CA is able to bring to bear different types of knowledge to solve problems. It imbues mobile robots with intelligent capabilities like reasoning and adaptive path planning in dynamic environments, and achieves human-inspired object recognition. These intelligent robotic movements and object recognition capabilities can potentially be applied to mobile surveillance to enhance security situational awareness.

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 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
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.

References

  1. Hampupur, A., et al.: Smart Video Surveillance. IEEE Signal Processing Magazine, 38–51 (March 2005)

    Google Scholar 

  2. Girgensohn, A., et al.: Dots: Support for Effective Video Surveillance. In: Proc. 15th International Conference on Multimedia, New York (2007)

    Google Scholar 

  3. Li, L., Socher, R., Li, F.: Towards Total Scene Understanding: Classification, Annotation and Segmentation in an Automatic Framework. In: CVPR 2009 (2009)

    Google Scholar 

  4. Newell, A.: Unified Theories of Cognition. Harvard University Press, Cambridge (1990)

    Google Scholar 

  5. Ng, G.W., Tan, Y.S., Teow, L.N., Ng, K.H., Tan, K.H., Chan, R.Z.: A Cognitive Architecture for Knowledge Exploitation (2010)

    Google Scholar 

  6. Ng, G.W., Ng, K.H., Tan, K.H., Goh, C.H.K.: The Ultimate Challenge of Commander’s Decision Aids: The Cognition Based Dynamic Reasoning Machine. In: Proceeding of 25th Army Science Conference, Paper BO-05 (2006)

    Google Scholar 

  7. Tan, A.-H., Carpenter, G.A., Grossberg, S.: Intelligence Through Interaction: Towards a Unified Theory for Learning. In: Liu, D., Fei, S., Hou, Z.-G., Zhang, H., Sun, C. (eds.) ISNN 2007. LNCS, vol. 4491, pp. 1094–1103. Springer, Heidelberg (2007)

    Chapter  Google Scholar 

  8. Fenske, M.J., Aminoff, E., Gronau, N., Bar, M.: Top-down facilitation of visual object recognition: Object-based and context-based contributions. Progress in Brain Research 155, 3–21 (2006)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2012 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Ng, G.W., Tan, Y.S., Xiao, X., Chan, R.Z. (2012). DSO Cognitive Architecture in Mobile Surveillance. In: Aschenbruck, N., Martini, P., Meier, M., Tölle, J. (eds) Future Security. Future Security 2012. Communications in Computer and Information Science, vol 318. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33161-9_11

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-33161-9_11

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-33160-2

  • Online ISBN: 978-3-642-33161-9

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics