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 2015-11-042015enThis 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 Applications1-28 Matsatsinis Nikolaos Ματσατσινης Νικολαος Konstantinos Makantasis Doulamis, Anastasios Eftychios Protopapadakis Springer Verlag Semi-supervised learning