Prediction of individual's movement based on interesting places

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dc.identifier.uri http://dx.doi.org/10.15488/5197
dc.identifier.uri https://www.repo.uni-hannover.de/handle/123456789/5244
dc.contributor.author Feuerhake, Udo
dc.date.accessioned 2019-08-15T11:13:37Z
dc.date.available 2019-08-15T11:13:37Z
dc.date.issued 2012
dc.identifier.citation Feuerhake, Udo: Prediction of individual's movement based on interesting places. In: ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences I-2 (2012), Nr. 1, S. 31-36. DOI: https://doi.org/10.5194/isprsannals-i-2-31-2012
dc.description.abstract In general, the development of prediction methods is a quite challenging field. However, as difficult the development is, as useful those methods can be in a large variety of use cases. Whether the weather of tomorrow or the destination of a moving individual is to be predicted, in both cases many different aspects have to be considered, because as well as the weather's behaviour the one of individuals, especially human beings, is influenced by many factors. For instance, movements of human beings are either planned, arbitrary or influenced by their environment or social aspects. In most cases a combination of those factors is involved. In this paper, motivated by the context of a decentralized surveillance scenario, we present an approach for predicting movements on the basis of a prediction model generated from the knowledge, which is implicated in spatio-temporal trajectories. This model is based on extracted interesting places and considers several aspects, which contain gained information about the movement behaviour in a given scenario. eng
dc.language.iso eng
dc.publisher Göttingen : Copernicus GmbH
dc.relation.ispartofseries ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences I-2 (2012), Nr. 1
dc.rights CC BY 3.0 Unported
dc.rights.uri https://creativecommons.org/licenses/by/3.0/
dc.subject Machine learning eng
dc.subject Artificial intelligence eng
dc.subject Use case eng
dc.subject Computer science eng
dc.subject.classification Konferenzschrift ger
dc.subject.ddc 550 | Geowissenschaften ger
dc.title Prediction of individual's movement based on interesting places
dc.type Article
dc.type Text
dc.relation.issn 2194-9050
dc.relation.doi https://doi.org/10.5194/isprsannals-i-2-31-2012
dc.bibliographicCitation.issue 1
dc.bibliographicCitation.volume I-2
dc.bibliographicCitation.firstPage 31
dc.bibliographicCitation.lastPage 36
dc.description.version publishedVersion
tib.accessRights frei zug�nglich


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