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

Makantasis Konstantinos, Protopapadakis Eftychios, Doulamis Anastasios, Matsatsinis Nikolaos

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URIhttp://purl.tuc.gr/dl/dias/C8292A00-F3E3-46C1-A4B5-79E358B370CA-
Identifierhttps://link.springer.com/article/10.1007%2Fs11042-015-2512-x-
Identifierhttps://doi.org/10.1007/s11042-015-2512-x-
Languageen-
Extent28 pagesen
TitleSemi-supervised vision-based maritime surveillance system using fused visual attention mapsen
CreatorMakantasis Konstantinosen
CreatorΜακαντασης Κωνσταντινοςel
CreatorProtopapadakis Eftychiosen
CreatorΠρωτοπαπαδακης Ευτυχιοςel
CreatorDoulamis Anastasiosen
CreatorΔουλαμης Αναστασιοςel
CreatorMatsatsinis Nikolaosen
CreatorΜατσατσινης Νικολαοςel
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 Item2018-06-28-
Date of Publication2016-
SubjectMaritime surveillanceen
SubjectSemi-supervised learningen
SubjectVehicle trackingen
SubjectVision-based systemen
SubjectVisual attention mapsen
Bibliographic CitationK. Makantasis, E. Protopapadakis, A. Doulamis and N. Matsatsinis, "Semi-supervised vision-based maritime surveillance system using fused visual attention maps," Multimed. Tools Appl., vol. 75, no. 22, pp. 15051-15078, Nov. 2016. doi: 10.1007/s11042-015-2512-xen

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