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dc.contributor.authorZhang, B
dc.contributor.authorGao, Y
dc.contributor.authorZhong, B
dc.contributor.editorIAPR
dc.date.accessioned2017-05-03T14:13:03Z
dc.date.available2017-05-03T14:13:03Z
dc.date.issued2008
dc.date.modified2009-05-12T06:39:24Z
dc.identifier.isbn9781424421756
dc.identifier.issn1051-4651
dc.identifier.refurihttp://www.icpr2008.org/
dc.identifier.doi10.1109/ICPR.2008.4761397
dc.identifier.urihttp://hdl.handle.net/10072/22886
dc.description.abstractThis paper proposes a novel Texture Pattern Flow (TPF) for complex background modeling and motion detection. The Pattern Flow is proposed to encode the binary pattern changes among the neighborhoods in the space-time domain. To model the distribution of the TPF, the TPF integral histograms are used to extract the discriminative features to represent the input video. Experimental results on the public videos testify the effectiveness of the proposed method in comparison to LBP and GMM based background modeling methods.
dc.description.peerreviewedYes
dc.description.publicationstatusYes
dc.format.extent230534 bytes
dc.format.mimetypeapplication/pdf
dc.languageEnglish
dc.language.isoeng
dc.publisherIEEE Computer Society
dc.publisher.placeLos Alamitos, California, USA
dc.publisher.urihttp://ieeexplore.ieee.org/servlet/opac?punumber=4740202
dc.relation.ispartofstudentpublicationY
dc.relation.ispartofconferencenameThe 19th International Conference on Pattern Recognition (ICPR)
dc.relation.ispartofconferencetitleProceedings - International Conference on Pattern Recognition
dc.relation.ispartofdatefrom2008-12-08
dc.relation.ispartofdateto2008-12-11
dc.relation.ispartoflocationTampa, Florida, USA
dc.rights.retentionY
dc.subject.fieldofresearchcode280208
dc.titleComplex Background Modeling and Motion Detection based on Texture Pattern Flow
dc.typeConference output
dc.type.descriptionE1 - Conferences
dc.type.codeE - Conference Publications
gro.rights.copyright© 2008 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
gro.date.issued2008
gro.hasfulltextFull Text
gro.griffith.authorGao, Yongsheng


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    Contains papers delivered by Griffith authors at national and international conferences.

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