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Composite Event Patterns for Maritime Monitoring

Published: 09 July 2018 Publication History

Abstract

Maritime monitoring systems support safe shipping as they allow for the real-time detection of dangerous, suspicious and illegal vessel activities. We have been developing a composite event recognition system for maritime monitoring in the Event Calculus, allowing both for verification and real-time performance. To increase the accuracy of the system, we have been collaborating with domain experts in order to construct effective patterns of maritime activity. We present some indicative patterns in the Event Calculus, and evaluate them using two forms of real kinematic vessel data.

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Kostas Patroumpas, Elias Alevizos, Alexander Artikis, Marios Vodas, Nikos Pelekis, and Yannis Theodoridis. 2017. Online event recognition from moving vessel trajectories. GeoInformatica 21, 2 (2017), 389--427.
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Cited By

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  • (2024)Trajectory Mining and Routing: A Cross-Sectoral ApproachJournal of Marine Science and Engineering10.3390/jmse1201015712:1(157)Online publication date: 12-Jan-2024
  • (2021)A Deep Learning Streaming Methodology for Trajectory ClassificationISPRS International Journal of Geo-Information10.3390/ijgi1004025010:4(250)Online publication date: 8-Apr-2021
  • (2020)Classification of vessel activity in streaming dataProceedings of the 14th ACM International Conference on Distributed and Event-based Systems10.1145/3401025.3401763(153-164)Online publication date: 13-Jul-2020
  • Show More Cited By

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Published In

cover image ACM Other conferences
SETN '18: Proceedings of the 10th Hellenic Conference on Artificial Intelligence
July 2018
339 pages
ISBN:9781450364331
DOI:10.1145/3200947
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

In-Cooperation

  • EETN: Hellenic Artificial Intelligence Society
  • UOP: University of Patras
  • University of Thessaly: University of Thessaly, Volos, Greece

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 09 July 2018

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Author Tags

  1. Event Calculus
  2. Event Recognition
  3. Pattern Matching

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  • Refereed limited

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Cited By

View all
  • (2024)Trajectory Mining and Routing: A Cross-Sectoral ApproachJournal of Marine Science and Engineering10.3390/jmse1201015712:1(157)Online publication date: 12-Jan-2024
  • (2021)A Deep Learning Streaming Methodology for Trajectory ClassificationISPRS International Journal of Geo-Information10.3390/ijgi1004025010:4(250)Online publication date: 8-Apr-2021
  • (2020)Classification of vessel activity in streaming dataProceedings of the 14th ACM International Conference on Distributed and Event-based Systems10.1145/3401025.3401763(153-164)Online publication date: 13-Jul-2020
  • (2020)Modelling, Managing and Processing of Mobility Data in Urban Environment2020 21st IEEE International Conference on Mobile Data Management (MDM)10.1109/MDM48529.2020.00058(250-251)Online publication date: Jun-2020
  • (2019)Composite Event Recognition for Maritime MonitoringProceedings of the 13th ACM International Conference on Distributed and Event-based Systems10.1145/3328905.3329762(163-174)Online publication date: 24-Jun-2019
  • (2019)Incremental Event Calculus for Run-Time ReasoningProceedings of the 13th ACM International Conference on Distributed and Event-based Systems10.1145/3328905.3329504(79-90)Online publication date: 24-Jun-2019
  • (2019)Use case design and big data analytics evaluation for fishing monitoringOCEANS 2019 - Marseille10.1109/OCEANSE.2019.8867554(1-8)Online publication date: Jun-2019
  • (2019)Information Fusion for Maritime Domain Awareness: Illegal Fishing Detection (Poster)2019 IEEE Conference on Cognitive and Computational Aspects of Situation Management (CogSIMA)10.1109/COGSIMA.2019.8724169(134-139)Online publication date: Apr-2019
  • (2019)Parallel online event calculus learning for complex event recognitionFuture Generation Computer Systems10.1016/j.future.2018.11.03394(468-478)Online publication date: May-2019

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