Use of knowledge-based control for vision systems
In this paper, we examine some aspects related to the knowledge-based control of vision systems. We distinguish between the specialist and user modes of control, based on the granularity at which the control takes place. We illustrate the user mode of control on an application developed using the PEGASE  framework developed at INRIA Sophia-Antipolis.
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- 1.R. Chellappa, X. Zhang, P. Burlina, C. L. Lin, Q. Zheng, L. S. Davis, and A. Rosenfeld, “An integrated system for site-model supported monitoring of transportation activities in aerial images,” in DARPA Image Understanding Workshop, vol. 1, (Palm Springs, CA), pp. 275–304, Feb. 1996.Google Scholar
- 2.V. Clément and M. Thonnat, “A knowledge-based approach to the integration of image processing procedures,” CVGIP: Image Understanding, Vol. 57, pp. 166–184, Mar. 1993.Google Scholar
- 3.M. Thonnat and S. Moisan, “Knowledge-based systems for program supervision,” in Proceedings of First International workshop on Knowledge-Based systems for the (re) Use of Program Libraries (KB UP'95), 1995. URL: http://www.inria.fr/orion/.Google Scholar
- 4.R. Vincent, S. Moisan, and M. Thonnat, “A library for program supervision engines,” Tech. Rep. 3011, I.N.R.I.A., Sophia Antipolis, France, 1996. URL: http://www.inria.fr/orion/.Google Scholar
- 5.R. Vincent and M. Thonnat, “Planning, executing, controlling and replanning for IP program library,” in Proceedings of LASTED International Conference Artificial Intelligence and Soft Computing (ASC'97), (Banff, Canada), July-August 1997. URL: http://www.inria.fr/orion/Articles/ASC97.html.Google Scholar