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dc.contributor.authorZhang, Baochangen_US
dc.contributor.authorGao, Yongshengen_US
dc.contributor.authorZhong, Binengen_US
dc.contributor.editorIAPRen_US
dc.date.accessioned2017-05-03T14:13:03Z
dc.date.available2017-05-03T14:13:03Z
dc.date.issued2008en_US
dc.date.modified2009-05-12T06:39:24Z
dc.identifier.refurihttp://www.icpr2008.org/en_AU
dc.identifier.doi10.1109/ICPR.2008.4761397en_AU
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.en_US
dc.description.peerreviewedYesen_US
dc.description.publicationstatusYesen_AU
dc.format.extent230534 bytes
dc.format.mimetypeapplication/pdf
dc.languageEnglishen_US
dc.language.isoen_AU
dc.publisherIEEE Computer Societyen_US
dc.publisher.placeLos Alamitos, California, USAen_US
dc.publisher.urihttp://ieeexplore.ieee.org/servlet/opac?punumber=4740202en_AU
dc.relation.ispartofstudentpublicationYen_AU
dc.relation.ispartofconferencenameThe 19th International Conference on Pattern Recognition (ICPR)en_US
dc.relation.ispartofconferencetitleProceedings of the 19th International Conference on Pattern Recognition (ICPR)en_US
dc.relation.ispartofdatefrom2008-12-08en_US
dc.relation.ispartofdateto2008-12-11en_US
dc.relation.ispartoflocationTampa, Florida, USAen_US
dc.rights.retentionYen_AU
dc.subject.fieldofresearchcode280208en_US
dc.titleComplex Background Modeling and Motion Detection based on Texture Pattern Flowen_US
dc.typeConference outputen_US
dc.type.descriptionE1 - Conference Publications (HERDC)en_US
dc.type.codeE - Conference Publicationsen_US
gro.rights.copyrightCopyright 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.en_AU
gro.date.issued2008
gro.hasfulltextFull Text


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