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dc.contributor.convenorHenry Selvarajen_AU
dc.contributor.authorGreen, Stevenen_US
dc.contributor.authorBlumenstein, Michaelen_US
dc.contributor.authorBrowne, Matthewen_US
dc.contributor.authorTomlinson, Rodgeren_US
dc.contributor.editorHenry Selvaraj, Brijesh Verma and Andre de Carvalhoen_US
dc.date.accessioned2017-05-03T13:03:16Z
dc.date.available2017-05-03T13:03:16Z
dc.date.issued2005en_US
dc.date.modified2009-09-28T06:49:50Z
dc.identifier.doi10.1109/ICCIMA.2005.57en_AU
dc.identifier.urihttp://hdl.handle.net/10072/2569
dc.description.abstractThis paper presents an initial investigation into the detection and quantification of persons in real-world beach scenes for the automated monitoring of tourist sites. Aside from the obvious use of video and digital imagery for surveillance applications, this research focuses on the analysis of images for the purpose of predicting trends of tourist activities at beach sites in Australia. The proposed system uses image enhancement and segmentation techniques to detect objects in cluttered scenes. Following these steps, a newly proposed feature extraction technique is used to represent important information in the extracted objects for training of a neural network. The neural classifier is used to distinguish the extracted objects between "person" and "non-person" categories to assist in quantification. Encouraging results are presented for person classification on a database of real-word beach scenes.en_US
dc.description.peerreviewedYesen_US
dc.description.publicationstatusYesen_AU
dc.format.extent304767 bytes
dc.format.extent16804 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.languageEnglishen_US
dc.language.isoen_AU
dc.publisherIEEE Computer Society Conference Publishing Servicesen_US
dc.publisher.placeLos Alamitos, CA, USAen_US
dc.publisher.urihttp://www2.computer.org/portal/web/csdl/abs/proceedings/iccima/2005/2358/00/2358toc.htmen_AU
dc.relation.ispartofstudentpublicationNen_AU
dc.relation.ispartofconferencenameSixth International Conference on Computational Intelligence and Multimedia Applicationsen_US
dc.relation.ispartofconferencetitleProceedings Sixth International Conference on Computational Intelligence and Multimedia Applications (ICCIMA 2005)en_US
dc.relation.ispartofdatefrom2005-08-16en_US
dc.relation.ispartofdateto2005-08-18en_US
dc.relation.ispartoflocationLas Vegas, Nevadaen_US
dc.rights.retentionYen_AU
dc.subject.fieldofresearchcode280207en_US
dc.titleThe detection and quantification of persons in cluttered beach scenes using neural network-based classificationen_US
dc.typeConference outputen_US
dc.type.descriptionE1 - Conference Publications (HERDC)en_US
dc.type.codeE - Conference Publicationsen_US
gro.facultyGriffith Sciences, School of Information and Communication Technologyen_US
gro.rights.copyrightCopyright 2005 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.issued2005
gro.hasfulltextFull Text


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

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