Sester, MonikaFeuerhake, UdoKuntzsch, ColinZhang, Lijuan2018-01-082018-01-0820122012https://dl.gi.de/handle/20.500.12116/11302Spatio-temporal trajectories contain implicit knowledge about the movement of individuals, which is relevant for problems in various domains, e.g. animal migration, traffic analysis, security. In this paper we present real-time approaches to segment trajectories into meaningful parts which reflect the underlying typical behaviour or structure. Based on this information atypical behaviour can be identified.On-line structure recognitionSpatio-temporal data analysisRevealing Underlying Structure and Behaviour from Movement DataText/Journal Article1610-1987