Abstract
In automatic video surveillance systems, full time monitoring represents an important goal to achieve. The aim of this paper is to find out a new methodology for video surveillance adaptive parameter regulation. The method presented here is based upon Self Organizing Map (S.O.M.) which are used for parameter regulation purposes. Results shown in this paper prove how this method permit to achieve overall good performances for all environments.