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The role of visualization and interaction in maritime anomaly detection
Högskolan i Skövde, Institutionen för kommunikation och information. Högskolan i Skövde, Forskningscentrum för Informationsteknologi. Högskolan i Skövde, Skövde Artificial Intelligence Lab (SAIL).ORCID-id: 0000-0003-2900-9335
Högskolan i Skövde, Forskningscentrum för Informationsteknologi. Högskolan i Skövde, Institutionen för kommunikation och information. Högskolan i Skövde, Skövde Artificial Intelligence Lab (SAIL).ORCID-id: 0000-0001-8884-2154
2011 (engelsk)Inngår i: Visualization and Data Analysis 2011: Proceedings of SPIE / IS & T Electronic Imaging / [ed] Pak Chung Wong, Jinah Park, Ming C. Hao, Chaomei Chen, Katy Börner, David L. Kao, Jonathan C. Roberts, SPIE - International Society for Optical Engineering, 2011, s. Article number 78680M, 1-12Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

The surveillance of large sea, air or land areas normally involves the analysis of large volumes of heterogeneous data from multiple sources. Timely detection and identification of anomalous behavior or any threat activity is an important objective for enabling homeland security. While it is worth acknowledging that many existing mining applications support identification of anomalous behavior, autonomous anomaly detection systems for area surveillance are rarely used in the real world. We argue that such capabilities and applications present two critical challenges: (1) they need to provide adequate user support and (2) they need to involve the user in the underlying detection process.

In order to encourage the use of anomaly detection capabilities in surveillance systems, this paper analyzes the challenges that existing anomaly detection and behavioral analysis approaches present regarding their use and maintenance by users. We analyze input parameters, detection process, model representation and outcomes. We discuss the role of visualization and interaction in the anomaly detection process. Practical examples from our current research within the maritime domain illustrate key aspects presented.

sted, utgiver, år, opplag, sider
SPIE - International Society for Optical Engineering, 2011. s. Article number 78680M, 1-12
Serie
Proceedings of SPIE - The International Society for Optical Engineering, ISSN 0277-786X ; Volume 7868
Emneord [en]
visualization, interaction, anomaly detection, data mining, visual analytics
HSV kategori
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URN: urn:nbn:se:his:diva-5179DOI: 10.1117/12.871801ISI: 000293625900021Scopus ID: 2-s2.0-79951916432ISBN: 978-0-81948-405-5 OAI: oai:DiVA.org:his-5179DiVA, id: diva2:428970
Konferanse
Visualization and Data Analysis 2011; San Francisco, CA; 24 January 2011 through 25 January 2011
Tilgjengelig fra: 2011-07-01 Laget: 2011-07-01 Sist oppdatert: 2018-01-12bibliografisk kontrollert

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