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dc.contributor.authorEstrela, Vania
dc.contributor.authorRivera, Luis A.
dc.contributor.authorBassani, Marcos H. S.
dc.contributor.editorSkala, Václav
dc.date.accessioned2013-09-17T10:42:35Z-
dc.date.available2013-09-17T10:42:35Z-
dc.date.issued2004
dc.identifier.citationWSCG '2004: Short Communications: the 12-th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision 2004, 2.-6. February 2004 Plzeň, p. 47-54.en
dc.identifier.isbn80-903100-5-2
dc.identifier.urihttp://wscg.zcu.cz/wscg2004/Papers_2004_Short/L05.pdf
dc.identifier.urihttp://hdl.handle.net/11025/6184
dc.description.abstractPel-recursive motion estimation is a well-established approach. However, in the presence of noise, it becomes an ill-posed problem that requires regularization. In this paper, motion vectors are estimated in an iterative fashion by means of the Expectation-Maximization (EM) algorithm and a Gaussian data model. Our proposed algorithm also utilizes the local image properties of the scene to improve the motion vector estimates following a spatially adaptive approach. Numerical experiments are presented that demonstrate the merits of our methods.en
dc.format8 s.cs
dc.format.mimetypeapplication/pdf
dc.language.isoenen
dc.publisherVáclav Skala - UNION Agencyen
dc.relation.ispartofseriesWSCG '2004: Short Communicationsen
dc.rights© Václav Skala - UNION Agencycs
dc.subjectodhad pohybucs
dc.subjectEM algoritmuscs
dc.subjectpel-rekurzivní pohybcs
dc.titlePel-recursive motion estimation using the expectation-maximization technique und spatial adaptionen
dc.typekonferenční příspěvekcs
dc.typeconferenceObjecten
dc.rights.accessopenAccessen
dc.type.versionpublishedVersionen
dc.subject.translatedmotion estimationen
dc.subject.translatedEM algorithmen
dc.subject.translatedpel-recursive motionen
dc.type.statusPeer-revieweden
Appears in Collections:WSCG '2004: Short Communications

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