Enhancing automatic maritime surveillance systems with visual information
Bloisi, D.D.; Previtali, F.; Pennisi, A.; Nardi, D.; Fiorini, M. (2017). Enhancing automatic maritime surveillance systems with visual information. Ieee Transactions on Intelligent Transportation Systems 18(4): 824-833. https://dx.doi.org/10.1109/TITS.2016.2591321
In: Ieee Transactions on Intelligent Transportation Systems. IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC: Piscataway. ISSN 1524-9050; e-ISSN 1558-0016, meer
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| Author keywords |
Video analysis; infrared surveillance; object detection; sensor fusion |
| Auteurs | | Top |
- Bloisi, D.D.
- Previtali, F.
- Pennisi, A.
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| Abstract |
Automatic surveillance systems for the maritime domain are becoming more and more important due to a constant increase of naval traffic and to the simultaneous reduction of crews on decks. However, available technology still provides only a limited support to this kind of applications. In this paper, a modular system for intelligent maritime surveillance, capable of fusing information from heterogeneous sources, is described. The system is designed to enhance the functions of the existing vessel traffic services systems and to be deployable in populated areas, where radar-based systems cannot be used due to the high electromagnetic radiation emissions. A quantitative evaluation of the proposed approach has been carried out on a large and publicly available data set of images and videos, which are collected from multiple real sites, with different light, weather, and traffic conditions. |
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