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Composite Event Recognition for Maritime Monitoring (1903.03078v3)

Published 7 Mar 2019 in cs.AI

Abstract: 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.

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Authors (6)
  1. Manolis Pitsikalis (4 papers)
  2. Alexander Artikis (26 papers)
  3. Richard Dreo (1 paper)
  4. Cyril Ray (2 papers)
  5. Elena Camossi (4 papers)
  6. Anne-Laure Jousselme (2 papers)
Citations (51)

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