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Semi-supervised vision-based maritime surveillance system using fused visual attention maps

Matsatsinis Nikolaos, Konstantinos Makantasis, Doulamis, Anastasios, Eftychios Protopapadakis

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URIhttp://purl.tuc.gr/dl/dias/6E4B1646-234D-4EB7-922B-82E32585F970-
Identifierhttps://doi.org/10.1007/s11042-015-2512-x-
Languageen-
Extent28 pagesen
TitleSemi-supervised vision-based maritime surveillance system using fused visual attention mapsen
CreatorMatsatsinis Nikolaosen
CreatorΜατσατσινης Νικολαοςel
CreatorKonstantinos Makantasisen
CreatorDoulamis, Anastasiosen
Creator Eftychios Protopapadakisen
PublisherSpringer Verlagen
Content SummaryThis paper presents a vision-based system for maritime surveillance, using moving PTZ cameras. The proposed methodology fuses a visual attention method that exploits low-level image features appropriately selected for maritime environment, with appropriate tracker, without making any assumptions about environmental or visual conditions. The offline initialization is based on large graph semi-supervised technique. System’s performance was evaluated with videos from cameras placed at Limassol port and Venetian port of Chania. Results suggest high detection ability, despite dynamically changing visual conditions and different kinds of vessels, all in real time. en
Type of ItemPeer-Reviewed Journal Publicationen
Type of ItemΔημοσίευση σε Περιοδικό με Κριτέςel
Licensehttp://creativecommons.org/licenses/by/4.0/en
Date of Item2015-11-04-
Date of Publication2015-
SubjectSemi-supervised learningen
Bibliographic CitationK. Makantasis, E. Protopapadakis, A. Doulamis, N. Matsatsinis ," Semi-supervised vision-based maritime surveillance system using fused visual attention maps ," Multi.Tools and Appl.,pp. 1-28,Mar. 2015.doi:10.1007/s11042-015-2512-xen

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