Summary

International Symposium on Antennas and Propagation

2008

Session Number:3D09

Session:

Number:3D09-1

Extraction of Suspicious Behavior of Vessels in the Exclusive Economic Zone

Florent JANGAL,  Marie Anne GIRAUD,  Anne LITTAYE,  Michel MOREL,  Jean-Pierre MANO,  Aldo NAPOLI,  

pp.-

Publication Date:2008/10/27

Online ISSN:2188-5079

DOI:10.34385/proc.35.3D09-1

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Summary:
Constant growth of world maritime transport and significant economic stakes of territorial water management have prompted the international community to invest in maritime global security research [1]. In this context, the ScanMaris project, which is founded by the French National Research Agency (ANR), aims to continuously monitor activities in the Exclusive Economic Zone (EEZ) activities and detect abnormal behavior using both observation systems and external data sources. The ScanMaris software workshop is based on the assumption that global surveillance of the EEZ cannot only use target detection systems. Indeed, whatever the performances of tracking algorithms are, they cannot estimate how suspicious the vessel tracks are. Some external information, like insurance database or transported goods, can improve behavior analysis. We propose to collect numerous information on the observed area (i.e. vessel locations and tracks, weather condition, previous committed offenses, destination, etc.) in order to create an enriched map of the scene. Then, the map is analyzed and abnormal behaviors are picked out. ScanMaris consists in four complementary layers: observation of maritime activities with several kind of sensor, fusion of sensed data, enrichment of information with heterogeneous sources (e.g. EQUASIS safety-related base, weather condition, LLOYDS insurance base, history of vessels, delimitation of maritime zones, etc.) and classification of the overall behavior. The issues of such an approach are target detection up to the EEZ limits, management of a large amount of data, analysis of each vessel activity and classification of behaviors.