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dc.contributor.authorBOLAND, FRANCIS MORGAN
dc.date.accessioned2008-07-28T23:30:29Z
dc.date.available2008-07-28T23:30:29Z
dc.date.created28-30 June 2006en
dc.date.issued2006
dc.date.submitted2006en
dc.identifier.citationD. Kelly, F. Boland., Motion model selection in tracking humans: [in] proceedings of IET Irish Signals and Systems Conference (ISSC 2006), Dublin: IET, 2006, pp363-368en
dc.identifier.otherY
dc.identifier.other51254
dc.identifier.otherYen
dc.identifier.urihttp://hdl.handle.net/2262/19681
dc.descriptionPUBLISHEDen
dc.description.abstractThe performance of many human tracking algorithms rely on accurate motion models. Due to the nature of human motion it is often difficult to determine the suitability of a chosen model. It is typically the case that over the tracking duration the characteristics of the observed motion will fit many different models. Commonly used motion models in the area of tracking include the constant position (CP), constant velocity (CV) and constant acceleration (CA) motion models. This paper applies the Kalman filtering algorithm to the problem of tracking a person's position using a finite set of different motion models. The statistical properties of the innovation sequence are used as a basis for motion model selectionen
dc.format.extent363-368en
dc.format.extent1390587 bytes
dc.format.mimetypeapplication/pdf
dc.language.isoenen
dc.publisherIETen
dc.rightsYen
dc.subjectKalman Filteren
dc.subjectMotion Modellingen
dc.subjectTrackingen
dc.titleMotion model selection in tracking humansen
dc.title.alternativeIET Irish Signals and Systems Conference: Dublin: 2006en
dc.title.alternativeISSC 2006en
dc.typeConference Paperen
dc.type.supercollectionscholarly_publicationsen
dc.type.supercollectionrefereed_publicationsen
dc.identifier.peoplefinderurlhttp://people.tcd.ie/fboland
dc.identifier.rssurihttp://ieeexplore.ieee.org/iel5/4123843/4123844/04123927.pdf?tp=&arnumber=4123927&isnumber=4123844


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