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dc.contributor.authorGreen, Stevenen_US
dc.contributor.authorBlumenstein, Michaelen_US
dc.contributor.authorBrowne, Matthewen_US
dc.contributor.authorTomlinson, Rodgeren_US
dc.date.accessioned2017-05-03T13:03:20Z
dc.date.available2017-05-03T13:03:20Z
dc.date.issued2006en_US
dc.date.modified2009-08-26T07:03:42Z
dc.identifier.issn14690268en_US
dc.identifier.doi10.1142/S1469026806001927en_AU
dc.identifier.urihttp://hdl.handle.net/10072/11548
dc.description.abstractThis paper presents an investigation into the detection and quantification of persons in real-world beach scenes for the automated monitoring of public recreation areas. 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 in the intensity of public usage 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 salient 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 facilitate analysis of tourist activity. Encouraging results are presented for person classification on a database of real-word beach scene images.en_US
dc.description.peerreviewedYesen_US
dc.description.publicationstatusYesen_AU
dc.languageEnglishen_US
dc.language.isoen_AU
dc.publisherImperial College Pressen_US
dc.publisher.placeUnited Kingdomen_US
dc.publisher.urihttp://www.worldscinet.com/ijcia/08/0802/S14690268090802.htmlen_AU
dc.relation.ispartofstudentpublicationNen_AU
dc.relation.ispartofpagefrom149en_US
dc.relation.ispartofpageto160en_US
dc.relation.ispartofissue2en_US
dc.relation.ispartofjournalInternational Journal of Computational Intelligence and Applicationsen_US
dc.relation.ispartofvolume6en_US
dc.rights.retentionYen_AU
dc.subject.fieldofresearchcode280212en_US
dc.subject.fieldofresearchcode280207en_US
dc.titleThe Detection of Persons in Cluttered Beach Scenes using Digital Video Imagery and Neural Network-Based Classificationen_US
dc.typeJournal articleen_US
dc.type.descriptionC1 - Peer Reviewed (HERDC)en_US
dc.type.codeC - Journal Articlesen_US
gro.facultyGriffith Sciences, School of Information and Communication Technologyen_US
gro.rights.copyrightCopyright 2006 Imperial College Press. Self-archiving of the author-manuscript version is not yet supported by this publisher. Please refer to International Journal of Computational Intelligence and Applications for access to the definitive, published version or contact the author for more information.en_AU
gro.date.issued2006
gro.hasfulltextNo Full Text


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