Revealing Underlying Structure and Behaviour from Movement Data

Sester, Monika; Feuerhake, Udo; Kuntzsch, Colin; Zhang, Lijuan

Autor(en):

Sester, Monika [DBLP] ;

Feuerhake, Udo [DBLP] ;

Kuntzsch, Colin [DBLP] ;

Zhang, Lijuan [DBLP]

Zusammenfassung

Spatio-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.

Vollständige Referenz
BibTeX

Sester, M., Feuerhake, U., Kuntzsch, C. & Zhang, L., (2012). Revealing Underlying Structure and Behaviour from Movement Data. KI - Künstliche Intelligenz: Vol. 26, No. 3. Springer. (S. 223-231). DOI: 10.1007/s13218-012-0180-9

@article{mci/Sester2012,
author = {Sester, Monika AND Feuerhake, Udo AND Kuntzsch, Colin AND Zhang, Lijuan},
title = {Revealing Underlying Structure and Behaviour from Movement Data},
journal = {KI - Künstliche Intelligenz},
volume = {26},
number = {3},
year = {2012},
,
pages = { 223-231 } ,
doi = { 10.1007/s13218-012-0180-9 }
}

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