Skip to main content
SpringerLink
Log in

ASIC: An architechture for social and individual control and its application to computer vision

  • Conference paper
  • First Online:
Distributed Software Agents and Applications (MAAMAW 1994)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1069))

Abstract

Most of the work done until now in computational vision deals with the construction of independent visual processing methods that implement a specific subtask of the whole process. In this paper, we are proposing a control architecture, Asic, based on a multi-agent approach. It has been used to build the Mavi system which integrates different visual modules and makes them cooperate. We demonstrate its use to study local and global control in a vision system.

Maitre Assistant à l'Ecole Nationale Supérieure des Mines de Paris (ENSMP). This work was done while the author was at LIFIA-IMAG

Chargé de recherche au Centre National de la Recherche Scientifique (CNRS).

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

Access this chapter

Log in via an institution

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Aloimonos, J.Y.: Purposive and Qualitative Vision, ECCV Esprit Workshop on Control of Perception, (1990)

    Google Scholar 

  2. Bajcsy, R.: Active Perception. IEEE Proceedings, 8 (76), (1988) 996–1005

    Google Scholar 

  3. Boissier, O., Demazeau, Y.: A Distributed Artificial Intelligence View on General Purpose Vision Systems. in Decentralized Artificial Intelligence, Elsevier Science Publishers B.V. (North Holland), Werner, E., Demazeau, Y., editors, (1992) 311–330

    Google Scholar 

  4. Boissier, O.: Control Problem in an intergrated vision system. Use of a multi-agent approach (in french). Phd Thesis, Institut National Polytechnique de Grenoble, (1993)

    Google Scholar 

  5. Boissier, O., Demazeau, Y., Masini, G., Skaf. H.: A multi-agent architecture for the implementation of the low level of a scene understanding system (in french). Actes des secondes journées francophones sur l'IAD et les systèmes multi-agents, Voiron, AFCET-AFIA-Pleiad, (1994) 293–304

    Google Scholar 

  6. Boissier, O., Demazeau, Y.: MAVI: a Multi Agent system for Visual Integration. Proceedings of the 1994 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, Las Vegas, NE, October 2–5 1994, 731–738

    Google Scholar 

  7. Burmeister, B., Sundermeyer, K.: Cooperative problem solving guided by intentions and perception. in Decentralized Artificial Intelligence, Elsevier Science Publishers B.V. (North Holland), Werner, E., Demazeau, Y., editors, (1992) 77–92

    Google Scholar 

  8. Cardozo, E., Sichman, J.S., Demazeau, Y.: Using the active object model to implement multi-agent systems. In Proceedings of the IEEE conference on Tools with AI, Boston, (november 1993)

    Google Scholar 

  9. Clark, J.L., Ferner, N.J.: Control of Visual Attention in Mobile Robots. Robotics and Automation, (1989)

    Google Scholar 

  10. Clement, V., Thonnat, M.: A knowledge approach to integration of image processing procedures. CVGIP: image understanding, vol. 57, n. 2, (1993) 166–184

    Google Scholar 

  11. Crowley, J.L., Chehikian A., Kittler, J., Illingworth, J., Eklundh, J.O., Granlund, G., Wiklund, J., Granum, E., Christensen, H.I.: Technical Annex for ESPRIT Basic Research Action 3038: Vision As Process., Aalborg, (1989)

    Google Scholar 

  12. Crowley, J.L., Zoppis, B., Calvary, G., Boissier, O.: Perceptual grouping for scene interpretation in an active vision system. In proceedings of Stockholm Workshop on Computational Vision, (1991)

    Google Scholar 

  13. Demazeau, Y., Müller, J.P.: Decentralized Artificial Intelligence. in Decentralized Artificial Intelligence, Elsevier Science Publishers B.V. (North Holland), Demazeau Y., Müller, J.P., editors, (1990) 3–13

    Google Scholar 

  14. Demazeau, Y., Boissier, O., Koning, J.L.: Using Interaction Protocols to Control Vision Systems Proceedings of SMC conference, San Antonio, (October 1994)

    Google Scholar 

  15. Georgeff, M.P., Lansky, A.L.: Reactive Reasoning and Planning. AAAI Conference, (1987) 677–682.

    Google Scholar 

  16. Hanson, A.R., Riseman, E.M. editors: Computer Vision Systems. Academic Press publishers, (1978)

    Google Scholar 

  17. Searle, J.R.: Speech Acts. Cambridge University Press, (1969)

    Google Scholar 

  18. Tsotsos, J.K.: Image Understanding. The Encyclopedia of Artificial Intelligence, S. Shapiro and D. Eckroth editors, Wiley and Sons, (1987)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. ENSMP, 60 Bd. Saint Michel, 75272, Paris Cedex 06, France

    Olivier Boissier

  2. LIFIA-IMAG, 46 av. Félix Viallet, 38031, Grenoble Cedex, France

    Yves Demazeau

Authors
  1. Olivier Boissier
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Yves Demazeau
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

John W. Perram Jean-Pierre Müller

Rights and permissions

Reprints and permissions

Copyright information

© 1996 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Boissier, O., Demazeau, Y. (1996). ASIC: An architechture for social and individual control and its application to computer vision. In: Perram, J.W., Müller, JP. (eds) Distributed Software Agents and Applications. MAAMAW 1994. Lecture Notes in Computer Science, vol 1069. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-61157-6_27

Download citation

  • DOI: https://doi.org/10.1007/3-540-61157-6_27

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-61157-8

  • Online ISBN: 978-3-540-68335-3

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics

Search

Navigation