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Theses

Motifs spatio-temporels de trajectoires d'objets mobiles, de l'extraction à la détection de comportements inhabituels. Application au trafic maritime.

Laurent Etienne 1
1 IRENAV - SIG
IRENAV - Institut de Recherche de l'Ecole Navale
Abstract : Mobile objects are now equipped with sensors allowing real time monitoring of their movements. Nowadays, the data produced by these sensors are received and stored in spatio-temporal databases in order to visually follow their movements. Data mining on this huge quantity of stored positions allows to extract the behaviour of these mobile objects (spatio-temporal patterns) and to analyze in real time trajectories of mobile objects following the same itinerary. Using these patterns, unusual situations can be detected. This research defines both spatio-temporel patterns and comparison tools to qualify trajectories using a similarity index based on spatial and temporal measures and fuzzy logic. These tools can be used to ease maritime traffic monitoring.
Complete list of metadatas

https://tel.archives-ouvertes.fr/tel-00667953
Contributor : Laurent Etienne <>
Submitted on : Wednesday, February 8, 2012 - 4:38:43 PM
Last modification on : Friday, July 17, 2020 - 2:58:27 PM
Long-term archiving on: : Wednesday, May 9, 2012 - 2:45:33 AM

Identifiers

  • HAL Id : tel-00667953, version 1

Citation

Laurent Etienne. Motifs spatio-temporels de trajectoires d'objets mobiles, de l'extraction à la détection de comportements inhabituels. Application au trafic maritime.. Modélisation et simulation. Université de Bretagne occidentale - Brest, 2011. Français. ⟨tel-00667953⟩

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