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Article overview
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An Analytic Framework for Maritime Situation Analysis | Hamed Yaghoubi Shahir
; Uwe Glässer
; Amir Yaghoubi Shahir
; Hans Wehn
; | Date: |
2 Aug 2015 | Abstract: | Maritime domain awareness is critical for protecting sea lanes, ports,
harbors, offshore structures and critical infrastructures against common
threats and illegal activities. Limited surveillance resources constrain
maritime domain awareness and compromise full security coverage at all times.
This situation calls for innovative intelligent systems for interactive
situation analysis to assist marine authorities and security personal in their
routine surveillance operations. In this article, we propose a novel situation
analysis framework to analyze marine traffic data and differentiate various
scenarios of vessel engagement for the purpose of detecting anomalies of
interest for marine vessels that operate over some period of time in relative
proximity to each other. The proposed framework views vessel behavior as
probabilistic processes and uses machine learning to model common vessel
interaction patterns. We represent patterns of interest as left-to-right Hidden
Markov Models and classify such patterns using Support Vector Machines. | Source: | arXiv, 1508.0181 | Services: | Forum | Review | PDF | Favorites |
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