Composite Event Recognition for Maritime Monitoring

Pitsikalis, Manolis, Artikis, Alexander, Dreo, Richard, Ray, Cyril, Camossi, Elena, Jousselme, Anne-Laure

arXiv.org Artificial Intelligence 

For effective recognition, we developed a recognition component, combining kinematic vessel streams with library of maritime patterns in close collaboration with domain contextual (geographical) knowledge for real-time vessel activity experts. We present a thorough evaluation of the system and the detection. To improve the accuracy of the system, we collaborated, patterns both in terms of predictive accuracy and computational in the context of this paper, with domain experts in order to construct efficiency, using real-world datasets of vessel position streams and effective patterns of maritime activity. Thus, we present a contextual geographical information.

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