In this paper an automatic maritime surveillance system is presented. Boat detection is performed by means of an Haar-like classifier in order to obtain robustness with respect to targets having very different size, reflections and wakes on the water surface, and apparently motionless boats anchored off the coast. Detection results are filtered over the time in order to reduce the false alarm rate. Experimental results show the effectiveness of the approach with different light conditions and camera positions. The system is able to provide the user a global view adding a visual dimension to AIS data.
Automatic maritime surveillance with visual target detection / Bloisi, Domenico Daniele; Iocchi, Luca; M., Fiorini; G., Graziano. - (2011), pp. 141-145. (Intervento presentato al convegno International Defense and Homeland Security Simulation Workshop, DHSS 2011, Held at the International Mediterranean and Latin American Modeling Multiconference, I3M 2011 tenutosi a Rome; Italy nel 12 September 2011 through 14 September 2011).
Automatic maritime surveillance with visual target detection
BLOISI, Domenico Daniele;IOCCHI, Luca;
2011
Abstract
In this paper an automatic maritime surveillance system is presented. Boat detection is performed by means of an Haar-like classifier in order to obtain robustness with respect to targets having very different size, reflections and wakes on the water surface, and apparently motionless boats anchored off the coast. Detection results are filtered over the time in order to reduce the false alarm rate. Experimental results show the effectiveness of the approach with different light conditions and camera positions. The system is able to provide the user a global view adding a visual dimension to AIS data.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
