Title :
Camera based target recognition for maritime awareness
Author :
Bloisi, Domenico ; Iocchi, Luca ; Fiorini, Michele ; Graziano, Giovanni
Author_Institution :
Dept. of Comput., Control, & Manage. Eng., Sapienza Univ. of Rome, Rome, Italy
Abstract :
In this paper a framework for a camera based vessel recognition system is proposed. The framework is designed to enhance the functionalities of current Vessel Traffic Services (VTS) systems, by adding a visual dimension to VTS data and the classification of non-cooperative targets. Furthermore, the framework can be suitable for the vessel traffic monitoring in populated areas where radar-based systems cannot be used due to electromagnetic radiation emissions. A quantitative evaluation of the detection performance on a publicly available dataset that validates the approach is provided.
Keywords :
electromagnetic waves; marine engineering; object recognition; VTS systems; camera based target recognition; camera based vessel recognition system; electromagnetic radiation emissions; maritime awareness; radar-based systems; vessel traffic monitoring; vessel traffic services; Boats; Cameras; Histograms; Radar tracking; Target tracking; Visualization; Vessel Traffic Services; coastal surveillance; maritime awareness; object recognition; target detection;
Conference_Titel :
Information Fusion (FUSION), 2012 15th International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4673-0417-7
Electronic_ISBN :
978-0-9824438-4-2