Institutional Repository
Technical University of Crete
EN  |  EL

Search

Browse

My Space

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

Makantasis Konstantinos, Protopapadakis Eftychios, Doulamis Anastasios, Matsatsinis Nikolaos

Full record


URI: http://purl.tuc.gr/dl/dias/C8292A00-F3E3-46C1-A4B5-79E358B370CA
Year 2016
Type of Item Peer-Reviewed Journal Publication
License
Details
Bibliographic Citation K. 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-x https://doi.org/10.1007/s11042-015-2512-x
Appears in Collections

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.

Services

Statistics