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Human and Machine Perception pp 155–177Cite as

Perception for Decision or Decision for Perception?

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Abstract

The paper addresses the duality problem between decision and perception. Based on simple examples, we discuss four major problems to solve for systems to reach some autonomy:

  • viable and robust acquisition through sensor association,

  • efficient data processing to information extracting,

  • acquisition and processing systems management towards actions,

  • injection of models for prediction.

At each stage few sensible techniques and technologies are outlined, illustrating plausible solutions. We first elaborate on reasons for sensor fusion together with definitions, putting the stress on the emergence of control (i.e. decision). Second, sensor and processing multiplications are tackled, leading to a primary feature analysis that is a first attempt towards system control. Third we consider the fusion itself under the angle of its architecture and the way to embed decision techniques into a coherent actable device. The conclusion is on models and generic decisions.

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References

  • JM. Frécaut — Vers une méthode d’intégration du concept d’aide à l’utilisateur dans les systèmes logiciels complexes — 1988

    Google Scholar 

  • J.C. Heudin — Architectures fondées sur la connaissance pour l’exécution et le contrôle de processus complexes — 1988

    Google Scholar 

  • X. Merlo — Techniques probabilistes d’intégration et de contrôle de la perception en vue de son exploitation par le système de décision d’un robot — 1988

    Google Scholar 

  • A. Reichart — Aspects algorithmiques d’une vision fruste d’un robot embarquable — 1988

    Google Scholar 

  • B. Burg — Apprentissage de règles de comportement destinées au contrôle d’un système — 1988

    Google Scholar 

  • C. Millour — Contibution à la vision dynamique: une approche multi-résolutions et multi-traitements — 1989

    Google Scholar 

  • A. Lanusse — Contribution à l’étude de processus décisionnels en robotique — 1989

    Google Scholar 

  • L. Foulloy — Du contrôle symbolique des processus — 1990

    Google Scholar 

  • P. Clermont — Méthodes de programmation de machine parallèle pyramidale — 1990

    Google Scholar 

  • J.L. Desnoyer — Une architecture informatique pour contôler la fonction perceptive — 1990

    Google Scholar 

  • S. Dacic — Conception et exploitation intuitive de systèmes informatiques complexes — 1990

    Google Scholar 

  • H. Safir — Procédé de réduction automatique d’une description d’architecture: application au traitement d’image — 1990

    Google Scholar 

  • P. Thévenoux — Reconnaissance de site par un modèle tri-dimensionnel — 1990

    Google Scholar 

  • V. Serfaty — La Programmation par mécanismes: de la Conception d’Algorithmes à leur Compréhension — 1991

    Google Scholar 

  • D. Luzeaux — Pour l’apprentissage, une nouvelle approche du contrôle: théorie et pratique — 1991

    Google Scholar 

  • P. Bonnin — Méthodologie systématique de conception — realisation d’applications en vision par ordinateur — 1991

    Google Scholar 

  • C. Thomas — Mécanismes de Segmentation d’Images: De la Modélisation à la Création d’Algorithmes — 1992

    Google Scholar 

  • T. Bernard — Des Rétines Artificielles Intelligentes — 1992

    Google Scholar 

  • M. Eccher — Architecture Parallèle dédiée à l’Etude d’Automates de Vision en Temps Réel — 1992

    Google Scholar 

  • O. Dessoude — Contrôle perceptif en milieu hostile: allocation de ressources automatiques pour un système multicapteur — 1993

    Google Scholar 

  • E. Martin — L’apprentissage du contrôle sous contrôle résursif — 1993

    Google Scholar 

  • C. Olivier — Stratégies d’acquisitions de traitement et de prise en compte d’informations en vue du contrôle d’un robot en environnement non structuré — 1993

    Google Scholar 

  • J. Sérot — Mise en oeuvre d’un formalisme fonctionnel par la programmation d’une architecture flot de données dédiée au traitement d’image temps réel — 1993

    Google Scholar 

  • F. Verdier — Conception de logiciels d’optimisation sous contraintes d’architectures VLSI pour le traitement d’images: le problème du contrôle — 1995

    Google Scholar 

  • A. Verhulst — Intégration d’une antenne acoustique à haute résolution sur une plateforme multicapteur — 1995

    Google Scholar 

Bibliography

  1. J.J. Little, G.E. Bleiloch, and T.A. Cass, Algorithmic Techniques for Computer Vision on a Fine-Grained Parallel Machine, in: IEEE PAMI, Vol.11, n.3, (Mars 1989).

    Google Scholar 

  2. G. Quenot, J. Serot, and B. Zavidovique, Functional programming on a data-flow architecture: applications in real-time image processing, in: Journal of Machine vision and applications, Vol.7, (1993).

    Google Scholar 

  3. T. Bernard, B. Zavidovique, and F. Devos, A programmable artificial retina, IEEE Journal of Solid-State Circuits, Vol.28, n.7, (1993).

    Google Scholar 

  4. J.N. Tsitsiklis and M. Athan, On the complexity of decentralized decision making and detection problems, IEEE Transactions on Automatic Control, Vol.AC-30, n.5, (1985).

    Google Scholar 

  5. J.N. Tsitsiklis, Decentralized detection by a large number of sensors, Math. Control Signals Systens, Springer-Verlag, (1988).

    Google Scholar 

  6. D. Teneketzis and P. Varaiya, The decentralized quickest detection problem, IEEE Transactions on Automatic Control, Vol.AC-29, n.7, (1984).

    Google Scholar 

  7. W.R. Watkins, F.T. Kantrowitz, and S.B. Crow, Optical, Infrared, and Millimeter Wave Propagation Engineering, in Proc. SPIE 926, (1988).

    Google Scholar 

  8. F.T. Ulaby, R.K. Moore, and A.K. Fung, Microwave Remote Sensing Active and Passive, Vol.1, II, III, Artech House, Norwood, MA (1986).

    Google Scholar 

  9. R.L. Keeney and H. Raiffa, Decision with Multiple Objective: Preferences and Value Tradeoff, John Wiley (1976).

    Google Scholar 

  10. M. Ghallab, Optimisation de processus décisionnels pour la robotique, Thèse d’Etat, LAAS/UPS, Toulouse, (1982).

    Google Scholar 

  11. J. Malik, Interpretation of Line Drawings of Curved Objects, PhD Thesis, Dept of Computer Science, Stanford University, (1985).

    Google Scholar 

  12. A. Pentland Ed., From Pixels to Predicates: Recent Advances in Computational and Robotic Vision, Ablex Publishing Corp., (1986).

    Google Scholar 

  13. D. Kapur and J.L. Mundy Eds., Special Volume on Geometric Reasoning, Artificial Intelligence (1988).

    Google Scholar 

  14. Lea Sombe, Inferences Non Classiques en Intelligence Artificielle, Rapport du PRC GRECO “Intelligence Artificielle”, Toulouse, (1988).

    Google Scholar 

  15. Hailpern, Temporal Logic, Lecture Notes in Computer Science N° 89, Springer Verlag, (1981).

    Google Scholar 

  16. J.G. Carbonnell Ed., Special Volume on Machine Learning, Artificial Intelligence, (1989).

    Google Scholar 

  17. L. Foulloy L. and B. Zavidovique, Toward symbolic process control, in: Automatica (1994).

    Google Scholar 

  18. D. Luzeaux and B. Zavidovique, Process control and machine learning: rule-based incremental control, IEEE Transactions on Automatic Control, Vol.39, n.6, (1994).

    Google Scholar 

  19. Y. Burnod, An Adaptive Neural Netvork: The Cerebral Cortex, Masson, (1989).

    Google Scholar 

  20. R. Hecht-Nielsen, Mathematical problems arising from neurocomputing, U.S. Army Mathematics Group Meeting, Huntsville, Alabama, U.S.A., (1987).

    Google Scholar 

  21. N.R. Sandell, P. Varayia, M. Athans, and M.G. Safonov, Survey of decentralized control methods for large scale systems, IEEE Transactions on Automatic Control, Vol.AC-23, n..2, (1978).

    Google Scholar 

  22. G. Fox et al., Solving Problems On Concurrent Processors, Addison-Wesley, (1987).

    Google Scholar 

  23. E. Waltz and J. Llinas, Multisensor Data Fusion, Artech House, Norwood, MA (1990).

    Google Scholar 

  24. L.A. Klein, Sensor and Data Fusion Concepts and Applications, SPIE Press TT14.

    Google Scholar 

  25. B.D.O. Anderson and J.B. Moore, Optimal Filtering, Prentice-Hall, EE Series, (1979).

    Google Scholar 

  26. R.E. Kaiman and J.D. Bucy, New Results in Linear Filtering and Prediction Theory, Journal Of Basic Engineering, (1961).

    Google Scholar 

  27. J.S. Bendat and A.G. Pielsol, Engineering Applications of Correlation and Spectral Analysis, John Wiley and Sons, New York, (1980).

    MATH  Google Scholar 

  28. Y. Bar-Shalom and T.S. Fortman, Tracking and Data Association, Academic Press, New York (1989).

    Google Scholar 

  29. L.N. Kanal and J.F. Lemmer Ed., Uncertainty in Artificial Intelligence, Elsevier Science Publishers, BV North-Holland, (1986).

    MATH  Google Scholar 

  30. G. Schäfer, A Mathematical Theory of Evidence, Princeton University Press, Princeton N.J. (1976).

    Google Scholar 

  31. L.A. Zadeh, Outline of a new approach to the analysis of complex computer systems and decision processes, IEEE Transactions on Systems, Man and Cybernetics, Vol.3, n.l, (1973)

    Google Scholar 

  32. L.A. Zadeh, Fuzzy sets versus probability, Proc. IEEE, Vol.68, (1980).

    Google Scholar 

  33. D. Dubois and H. Prade, Théorie des possibilités, Application à la représentation des connaissances en informatique, Masson, Collection Méthodes + Programmes, (1985).

    Google Scholar 

  34. R. Clark and D. Yulle, Data Fusion for Sensory Information Systems, Kluwer Press, (1990).

    Google Scholar 

  35. Lakin, Miles, and Byrnes, Intelligent data fusion for naval command and control, in: Blackboard Systems, Engelmore ed., (1985).

    Google Scholar 

  36. J. Mc Carthy Ed., Special Issue on Non-Monotonic Logic, Artificial Intelligence, (1981).

    Google Scholar 

  37. G. Cohen, A game theoretic approach to decentralized control, Appl. Mathematics, (1976).

    Google Scholar 

  38. J.N. Tsitsiklis, On threshold rules in decentralized detection, Proceedings IEEE Conf. Decision Control, Athènes, (1986).

    Google Scholar 

  39. D. Geman and S. Geman, Stochastic relaxation, Gibbs distribution, and the Bayesian restauration of images, IEEE Transactions On Pattern Analysis and Machine Intelligence, Vol.6, n.6, (1984).

    Google Scholar 

  40. K.J. Aström, Theory and application of adaptive control: a survey, Automatica, Vol.19, n.5, (1983).

    Google Scholar 

  41. K.J. Aström, Auto-tuning, adaptation and expert control, in: Proc. American Contol Conference, Boston, (1985).

    Google Scholar 

  42. K. De Jong, Intelligent control: integrating AI. and control theory, in: IEEE Trends and Applications: Automating Intelligent Behavior. Applications and Frontiers., Gaithersburg (1983).

    Google Scholar 

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Author information

Authors and Affiliations

  1. Laboratoire Système de Perception, ETCA, 94114, Arcueil cedex, France

    Bertrand Y. Zavidovique

  2. Institut d’Electronique Fondamentale, Université Paris, XI - 91405, Orsay cedex, France

    Bertrand Y. Zavidovique

Authors
  1. Bertrand Y. Zavidovique
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Editor information

Editors and Affiliations

  1. University of Pavia, Pavia, Italy

    Virginio Cantoni  & Alessandra Setti  & 

  2. University of Palermo, Palermo, Italy

    Vito Di Gesù  & Domenico Tegolo  & 

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© 1997 Springer Science+Business Media New York

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Zavidovique, B.Y. (1997). Perception for Decision or Decision for Perception?. In: Cantoni, V., Di Gesù, V., Setti, A., Tegolo, D. (eds) Human and Machine Perception. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-5965-8_12

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  • DOI: https://doi.org/10.1007/978-1-4615-5965-8_12

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4613-7734-4

  • Online ISBN: 978-1-4615-5965-8

  • eBook Packages: Springer Book Archive

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