Semi-supervised vision-based maritime surveillance system using fused visual attention mapsSemi-supervised vision-based maritime surveillance system using fused visual attention maps Peer-Reviewed Journal Publication Δημοσίευση σε Περιοδικό με Κριτές 2018-06-282016enThis 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.http://creativecommons.org/licenses/by/4.0/Multimedia Tools and Applications752215051-15078 Makantasis Konstantinos Μακαντασης Κωνσταντινος Protopapadakis Eftychios Πρωτοπαπαδακης Ευτυχιος Doulamis Anastasios Δουλαμης Αναστασιος Matsatsinis Nikolaos Ματσατσινης Νικολαος Springer Verlag Maritime surveillance Semi-supervised learning Vehicle tracking Vision-based system Visual attention maps