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GeoInformatica
Erschienen in: GeoInformatica 2/2017

16.08.2016

Online event recognition from moving vessel trajectories

verfasst von: Kostas Patroumpas, Elias Alevizos, Alexander Artikis, Marios Vodas, Nikos Pelekis, Yannis Theodoridis

Erschienen in: GeoInformatica | Ausgabe 2/2017

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Abstract

We present a system for online monitoring of maritime activity over streaming positions from numerous vessels sailing at sea. The system employs an online tracking module for detecting important changes in the evolving trajectory of each vessel across time, and thus can incrementally retain concise, yet reliable summaries of its recent movement. In addition, thanks to its complex event recognition module, this system can also offer instant notification to marine authorities regarding emergency situations, such as suspicious moves in protected zones, or package picking at open sea. Not only did our extensive tests validate the performance, efficiency, and robustness of the system against scalable volumes of real-world and synthetically enlarged datasets, but its deployment against online feeds from vessels has also confirmed its capabilities for effective, real-time maritime surveillance.
Vorheriger Artikel Efficient online extraction of keywords for localized events in twitter

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Fußnoten
4
Typically for trajectories [7], linear interpolation is applied between each pair of successive measurements (p i ,τ i ) and (p i+1,τ i+1). For simplicity, we assume that this also holds in the case of vessels. With the exception of intermittent signals, their course between any two consecutive positions practically evolves in a very small area, which can be locally approximated with a Euclidean plane using Haversine distances.
 
9
The patterns of the complex maritime events are available at http://​users.​iit.​demokritos.​gr/​~a.​artikis/​aminess.​tar.​gz.
 
10
This anonymized dataset (for privacy, each original MMSI has been replaced by a sequence number) is publicly available at http://​chorochronos.​datastories.​org/​?​q=​content/​imis-3months
 
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Metadaten
Titel
Online event recognition from moving vessel trajectories
verfasst von
Kostas Patroumpas
Elias Alevizos
Alexander Artikis
Marios Vodas
Nikos Pelekis
Yannis Theodoridis
Publikationsdatum
16.08.2016
Verlag
Springer US
Erschienen in
GeoInformatica / Ausgabe 2/2017
Print ISSN: 1384-6175
Elektronische ISSN: 1573-7624
DOI
https://doi.org/10.1007/s10707-016-0266-x

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