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Vol: 52(66) No: 2 / June 2007 Approach to Recognize Unusual Behaviors in Distributed Environments Andor Gaudia Department of Automation and Applied Informatics, Budapest University of Technology and Economics, Goldmann Gyorgy sqr. 3, 1111 Budapest, Hungary, e-mail: gaudia@get.bme.hu Peter Korondi Department of Automation and Applied Informatics, Budapest University of Technology and Economics, Goldmann Gyorgy sqr. 3, 1111 Budapest, Hungary, e-mail: korondi@elektro.get.bme.hu Radu-Emil Precup Department of Automation and Applied Informatics, "Politehnica" University of Timisoara, Faculty of Automation and Computers, Bd. Vasile Parvan 2, 300233, Timisoara, Romania, phone: +40-256-4032-26, e-mail: radu.precup@aut.upt.ro Stefan Preitl Department of Automation and Applied Informatics, "Politehnica" University of Timisoara, Faculty of Automation and Computers, Bd. Vasile Parvan 2, 300233, Timisoara, Romania, e-mail: stefan.preitl@aut.upt.ro Keywords: image processing, Intelligent Space, skin color recognition, ANFIS, DIMAN. Abstract The paper presents an approach focused on the detection of unusual behaviors in the monitored environments using computer vision. The theoretical aspects employ techniques specific to image processing and the neuro-fuzzy technique ANFIS. The DIMAN framework is presented here. It enables the implementation of these techniques. The application of the new approach related to skin color recognition can be encountered in public places like banks or post-offices where several risks must be recognized; these places are protected by special security crews, but the increasing demand on improved security requires redundant and failsafe methods which eliminate the human factor. References [1] A. Guadia, P. Korondi, R. -E. Precup and S. 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