Institutional Repository
Technical University of Crete
Technical University of Crete
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EL
| URI | http://purl.tuc.gr/dl/dias/6E4B1646-234D-4EB7-922B-82E32585F970 | - |
| Identifier | https://doi.org/10.1007/s11042-015-2512-x | - |
| Language | en | - |
| Extent | 28 pages | en |
| Title | Semi-supervised vision-based maritime surveillance system using fused visual attention maps | en |
| Creator | Matsatsinis Nikolaos | en |
| Creator | Ματσατσινης Νικολαος | el |
| Creator | Konstantinos Makantasis | en |
| Creator | Doulamis, Anastasios | en |
| Creator | Eftychios Protopapadakis | en |
| Publisher | Springer Verlag | en |
| Content Summary | This 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 Item | Peer-Reviewed Journal Publication | en |
| Type of Item | Δημοσίευση σε Περιοδικό με Κριτές | el |
| License | http://creativecommons.org/licenses/by/4.0/ | en |
| Date of Item | 2015-11-04 | - |
| Date of Publication | 2015 | - |
| Subject | Semi-supervised learning | en |
| Bibliographic Citation | K. 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-x | en |
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