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Improving maritime anomaly detection and situation awareness through interactive visualization
Högskolan i Skövde, Institutionen för kommunikation och information.ORCID-id: 0000-0003-2900-9335
Högskolan i Skövde, Forskningscentrum för Informationsteknologi.ORCID-id: 0000-0001-8884-2154
Högskolan i Skövde, Institutionen för kommunikation och information.ORCID-id: 0000-0001-6883-2450
2008 (engelsk)Inngår i: Proceedings of the 11th International Conference on Information Fusion (FUSION 2008), IEEE Computer Society , 2008, s. 47-54Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

Surveillance of large land, air or sea areas with a multitude of sensor and sensor types typically generates huge amounts of data. Human operators trying to establish individual or collective maritime situation awareness are often overloaded by this information. In order to help them cope with this information overload, we have developed a combined methodology of data visualization, interaction and mining techniques that allows filtering out anomalous vessels, by building a model over normal behavior from which the user can detect deviations. The methodology includes a set of interactive visual representations that support the insertion of the user’s knowledge and experience in the creation, validation and continuous update of the normal model. Additionally, this paper presents a software prototype that implements the suggested methodology.

 

sted, utgiver, år, opplag, sider
IEEE Computer Society , 2008. s. 47-54
Emneord [en]
anomaly detection, interaction, visualization, situation awareness, visual data mining, visual analytics
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Identifikatorer
URN: urn:nbn:se:hj:diva-43288Scopus ID: 2-s2.0-56749112449Lokal ID: 0;0;miljJAILISBN: 978-3-00-024883-2 (tryckt)ISBN: 978-3-8007-3092-6 (tryckt)OAI: oai:DiVA.org:hj-43288DiVA, id: diva2:1293839
Konferanse
11th International Conference on Information Fusion, FUSION 2008; Cologne; Germany; 30 June 2008 through 3 July 2008
Merknad

Best Student Paper Award.

Tilgjengelig fra: 2010-02-01 Laget: 2019-03-05 Sist oppdatert: 2019-08-23bibliografisk kontrollert

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Riveiro, MariaFalkman, GöranZiemke, Tom

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