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Publication Detailed Description
Vessel trajectories outliers
9th International Symposium on Ambient Intelligence, ISAmI 2018
Year (definitive publication)
2019
Language
English
Country
Switzerland
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Abstract
In this work we describe our first steps towards our H2020 project MARISA participation, where we intent to develop a tool-kit towards the identification of outliers in Vessel trajectories based on electronic data regarding position and time. These outliers can correspond to illegal activities that could be related with illegal immigration, drugs transshipment among others. We developed process tools that based on any electronic Vessel position systems, like Automatic Identification System (AIS) data, it is possible to extract routes in an unsupervised approach. At the same time identify non-conformities based on AIS data signal lost and to identify situation when two or more Vessels are approaching close to each other, called the rendezvous.
Acknowledgements
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Keywords
AIS,Outliers,Rendezvous,Trajectory,Vessel
Fields of Science and Technology Classification
- Computer and Information Sciences - Natural Sciences
- Electrical Engineering, Electronic Engineering, Information Engineering - Engineering and Technology
Funding Records
| Funding Reference | Funding Entity |
|---|---|
| UID/MULTI/0446/2013 | Fundação para a Ciência e a Tecnologia |
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