Trajectory Clustering and Coastal Surveillance
| dc.contributor.author | Dahlbom, Anders | |
| dc.contributor.author | Niklasson, Lars | |
| dc.contributor.editor | Herzog, Otthein | |
| dc.contributor.editor | Rödiger, Karl-Heinz | |
| dc.contributor.editor | Ronthaler, Marc | |
| dc.contributor.editor | Koschke, Rainer | |
| dc.date.accessioned | 2019-05-15T09:04:49Z | |
| dc.date.available | 2019-05-15T09:04:49Z | |
| dc.date.issued | 2007 | |
| dc.description.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. | en |
| dc.identifier.isbn | 978-3-88579-206-1 | |
| dc.identifier.pissn | 1617-5468 | |
| dc.identifier.uri | https://dl.gi.de/handle/20.500.12116/22465 | |
| dc.language.iso | en | |
| dc.publisher | Gesellschaft für Informatik e. V. | |
| dc.relation.ispartof | Informatik 2007 – Informatik trifft Logistik – Band 2 | |
| dc.relation.ispartofseries | Lecture Notes in Informatics (LNI) - Proceedings, Volume P-110 | |
| dc.title | Trajectory Clustering and Coastal Surveillance | en |
| dc.type | Text/Conference Paper | |
| gi.citation.endPage | 129 | |
| gi.citation.publisherPlace | Bonn | |
| gi.citation.startPage | 125 | |
| gi.conference.date | 24.-27. September 2007 | |
| gi.conference.location | Bremen | |
| gi.conference.sessiontitle | Regular Research Papers |
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