Artificial intelligence

Abstract: The basic elements of human intellectual visual perception and importance of selectivity for this purpose are considered. The analysis of methods of intellectual perception on the base of fovea sensors with radial and hierarchical structures of receptor field is carried out. The new approach to intelligent selective perception is offered. It is based on a coarse-to-fine method of searching and provides facilities to operate parameters of reading information from videosensors. The information aspects of selectivity and examples of their applications are considered.

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1. Boyun V.P. Zorovyi analizator ludini jak prototip dlja pobudovi simeistva problemno-orientovanihsistem tehnichnogo zoru. Muterialy Mezhdunarodnoy nauchno-technicheckoy konferencyi: “Iskustvennyiintellect. Intellektualnye sistemy. II-2010”. 2010. T.1. S. 21-26.
2. Shelepin U.E., Bondarko V.M., Danilova M.V. Konstrukcija foveoly i model piramidalnoy organizaciizritelnoy sistemy. Zh. Sensornye sistemy. №1, 1995. -S.87-97.
3. Tagare H.D., Toyama K., Wang J.G. A Maximum-Likelihood Strategy for Directing Attention duringVisual Search, IEEE Transactions on pattern analysis and machine intelligence, Vol.23, No.5,May 2001,pp. 490-500.
4. Glushkov V.M. O kibernetike kak nauke //Kibernetika, myshlenie, zhizn. –М.: Mysl, 1964.–S.53-62.
5. Boyun V.P. Dinamicheskaja teorija informacii. Osnovy i prilozhenija. Izdanie IK NANU, g. Kiev. 2001,-326s.
6. Boyun V.P. Intellektualnye videokomputernye sistemy i ustrojstva // Innovaciyni tehnologii. \2003. № 2-3. S.124-131.
7. Burt P. J. Smart Sensing within a Pyramid Vision Machine, IEEE, V.76, №8, 1988, pp. 175-185.