Maritime monitoring systems support safe shipping as they allow for the real-time detection of dangerous, suspicious and illegal vessel activities. We present such a system using the Run-Time Event Calculus, a composite event recognition system with formal, declarative semantics. For effective recognition, we developed a library of maritime patterns in close collaboration with domain experts. We present a thorough evaluation of the system and the patterns both in terms of predictive accuracy and computational efficiency, using real-world datasets of vessel position streams and contextual geographical information.
@article{arxiv.1903.03078,
title = {Composite Event Recognition for Maritime Monitoring},
author = {Manolis Pitsikalis and Alexander Artikis and Richard Dreo and Cyril Ray and Elena Camossi and Anne-Laure Jousselme},
journal= {arXiv preprint arXiv:1903.03078},
year = {2019}
}