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A joint statistical and symbolic anomaly detection system: Increasing performance in maritime surveillance
RISE, Swedish ICT, SICS.ORCID iD: 0000-0001-8577-6745
RISE, Swedish ICT, SICS.ORCID iD: 0000-0002-6797-8463
RISE, Swedish ICT, SICS.ORCID iD: 0000-0002-7181-8411
RISE, Swedish ICT, SICS.ORCID iD: 0000-0003-3909-6751
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2012 (English)In: 15th International Conference on Information Fusion, FUSION 2012, 2012, p. 1919-1926, article id 6290535Conference paper, Published paper (Refereed)
Abstract [en]

The need for improving the capability to detect illegal or hazardous activities and yet reducing the workload of operators involved in various surveillance tasks calls for research on more capable automatic tools. To maximize their performance, these tools should be able to combine automatic capturing of normal behavior from data with domain knowledge in the form of human descriptions. In a proposed Joint Statistical and Symbolic Anomaly Detection System, statistical and symbolic methods are tightly integrated in order to detect the majority of critical events in the situation while minimizing unwanted alerts. We exemplify the proposed system in the domain of maritime surveillance.

Place, publisher, year, edition, pages
2012. p. 1919-1926, article id 6290535
Keywords [en]
anomaly detection, data driven methods, knowledge driven methods, maritime domain awareness, situation assessement, statistical methods, surveillance, symbolic methods, Data-driven methods, Digital storage, Information fusion, Space surveillance, Monitoring
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:ri:diva-51716Scopus ID: 2-s2.0-84867645582ISBN: 9780982443859 (print)OAI: oai:DiVA.org:ri-51716DiVA, id: diva2:1517266
Conference
15th International Conference on Information Fusion, FUSION 2012, 7 September 2012 through 12 September 2012, Singapore
Available from: 2021-01-13 Created: 2021-01-13 Last updated: 2023-05-09Bibliographically approved

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Holst, AndersBjurling, BjörnEkman, JanRudström, Åsa

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CiteExportLink to record
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Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
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Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
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Output format
  • html
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  • asciidoc
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