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In today’s surveillance systems, a multitude of sensors are used. Thus, the data volume is clearly increasing and the human decision maker has to be supported in analyzing this data in an intelligent way. This contribution deals with the process of situation assessment, which is analyzing real-time data with respect to pre-modeled situations of interest with a dynamic Bayesian network. The quality of the recognition is evaluated with a maritime dataset.

data fusion --- dynamic Bayesian networks --- SituationsbewusstseinSituation assessment --- maritime surveillance --- maritime Überwachung --- Situationsanalyse --- Datenfusion --- situation awareness --- dynamische Bayes’sche Netze