Trajectory Clustering and Coastal Surveillance

Abstract
In this paper we explore trajectory clustering as a means for representing the normal behavior of vessels in a coastal surveillance scenario. Trajectory clustering however suffers from some drawbacks in this type of setting and we therefore propose a new approach, spline-based clustering, with a potential for solving the task of representing the normal course of events.
  • Citation
  • BibTeX
Dahlbom, A. & Niklasson, L., (2007). Trajectory Clustering and Coastal Surveillance. In: Herzog, O., Rödiger, K.-H., Ronthaler, M. & Koschke, R. (Hrsg.), Informatik 2007 – Informatik trifft Logistik – Band 2. Bonn: Gesellschaft für Informatik e. V.. (S. 125-129).
@inproceedings{mci/Dahlbom2007,
author = {Dahlbom, Anders AND Niklasson, Lars},
title = {Trajectory Clustering and Coastal Surveillance},
booktitle = {Informatik 2007 – Informatik trifft Logistik – Band 2},
year = {2007},
editor = {Herzog, Otthein AND Rödiger, Karl-Heinz AND Ronthaler, Marc AND Koschke, Rainer} ,
pages = { 125-129 },
publisher = {Gesellschaft für Informatik e. V.},
address = {Bonn}
}
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ISBN: 978-3-88579-206-1
ISSN: 1617-5468
xmlui.MetaDataDisplay.field.date: 2007
Language: en (en)
Content Type: Text/Conference Paper
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