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Supporting Maritime Situation Awareness Using Self Organizing Maps and Gaussian Mixture Models
Maria Riveiro, Fredrik Johansson, Göran Falkman, Tom Ziemke
84 - 91
Frontiers in Artificial Intelligence and Applications
Volume 173: Tenth Scandinavian Conference on Artificial Intelligence
Abstract

Maritime situation awareness is of importance in a lot of areas – e.g. detection of weapon smuggling in military peacekeeping operations, and harbor traffic control missions for the coast guard. In this paper, we have combined the use of Self Organizing Maps with Gaussian Mixture Models, in order to enable situation awareness by detecting deviations from normal behavior in an unsupervised way. Initial results show that simple anomalies can be detected using this approach.

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