Increasing Maritime Situation Awareness via Trajectory Detection, Enrichment and Recognition of Events

@inproceedings{Vouros2018IncreasingMS,
  title={Increasing Maritime Situation Awareness via Trajectory Detection, Enrichment and Recognition of Events},
  author={George A. Vouros and Akrivi Vlachou and Georgios M. Santipantakis and Christos Doulkeridis and Nikos Pelekis and Harris V. Georgiou and Yannis Theodoridis and Kostas Patroumpas and Elias Alevizos and A. Artikis and Georg Fuchs and Michael Mock and Gennady L. Andrienko and Natalia V. Andrienko and Christophe Claramunt and Cyril Ray and Elena Camossi and Anne-Laure Jousselme},
  booktitle={W2GIS},
  year={2018}
}
The research presented in this paper aims to show the deployment and use of advanced technologies towards processing surveillance data for the detection of events, contributing to maritime situation awareness via trajectories’ detection, synopses generation and semantic enrichment of trajectories. We first introduce the context of the maritime domain and then the main principles of the big data architecture developed so far within the European funded H2020 datAcron project. From the integration… 
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