Dahlbom, AndersNiklasson, LarsHerzog, OttheinRödiger, Karl-HeinzRonthaler, MarcKoschke, Rainer2019-05-152019-05-152007978-3-88579-206-1https://dl.gi.de/handle/20.500.12116/22465In 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.enTrajectory Clustering and Coastal SurveillanceText/Conference Paper1617-5468