Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/58217
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dc.contributor.authorNiu, Y.en
dc.contributor.authorDick, A.en
dc.contributor.authorBrooks, M.en
dc.date.issued2009en
dc.identifier.citationConference proceedings: 24th International Conference Image and Vision Computing New Zealand (IVCNZ 2009), 23 – 25 November 2009, Wellington, New Zealand / Donald Bailey (ed.): pp.12 - 17en
dc.identifier.isbn9781424446988en
dc.identifier.urihttp://hdl.handle.net/2440/58217-
dc.description.abstractThis paper proposes a new measure that continuously measures the degree of inconsistency for a linear system. We apply the new measure to two essential vision problems. One is to predict the fidelity of a local optical flow computation system; The other is to detect motion boundaries. Experimental results on benchmark sequences validate the performance of the proposed measure on both problems.en
dc.description.statementofresponsibilityYan Niu, Anthony Dick and Michael Brooksen
dc.language.isoenen
dc.publisherIEEEen
dc.rights©2009 IEEEen
dc.subjectOptical flow; confidence measure; inconsistent linear system; motion boundaryen
dc.titleA new inconsistency measure for linear systems and two applications in motion analysisen
dc.typeConference paperen
dc.identifier.rmid0020095944en
dc.contributor.conferenceInternational Conference Image and Vision Computing New Zealand (24th : 2009 : Wellington, New Zealand)en
dc.identifier.doi10.1109/IVCNZ.2009.5378427en
dc.publisher.placeUSAen
dc.identifier.pubid35412-
pubs.library.collectionComputer Science publicationsen
pubs.verification-statusVerifieden
pubs.publication-statusPublisheden
dc.identifier.orcidDick, A. [0000-0001-9049-7345]en
Appears in Collections:Computer Science publications

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