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dc.contributor.authorGreen, Stevenen_US
dc.contributor.authorBlumenstein, Michaelen_US
dc.contributor.editorMehmet A. Orgun and John Thorntonen_US
dc.date.accessioned2017-04-24T10:08:49Z
dc.date.available2017-04-24T10:08:49Z
dc.date.issued2007en_US
dc.date.modified2008-12-02T04:36:13Z
dc.identifier.doihttp://www.cit.gu.edu.au/conferences/austai/en_AU
dc.identifier.urihttp://hdl.handle.net/10072/17594
dc.description.abstractThis paper describes a neural-based technique for detecting upright persons in low-resolution beach imagery in order to predict trends of tourist activities at beach sites. The proposed system uses a structural feature extraction technique to represent objects of interest for training a selection of neural classifiers. A number of neural-based classifiers are compared in this study and a direction-based feature extraction technique is investigated in conjunction with a rotationally invariant procedure for the purpose of beach object classification. Encouraging results are presented for person detection using video imagery collected from a beach site on the coast of Australia.en_US
dc.description.peerreviewedYesen_US
dc.description.publicationstatusYesen_AU
dc.languageEnglishen_US
dc.language.isoen_AU
dc.publisherSpringer-Verlagen_US
dc.publisher.placeGermanyen_US
dc.publisher.urihttp://www.springer.com/computer/artificial/book/978-3-540-76926-2en_AU
dc.relation.ispartofstudentpublicationNen_AU
dc.relation.ispartofconferencenameAI 2007: Advances in Artificial Intelligence, 20th Australian Joint Conference on Artificial Intellien_US
dc.relation.ispartofconferencetitleAI 2007: Advances in Artificial intelligence : 20th Australian Joint Conference on Artificial Intelligence : Gold Coast, Australia, December 2007 : Proceedingsen_US
dc.relation.ispartofdatefrom2007-12-02en_US
dc.relation.ispartofdateto2007-12-06en_US
dc.relation.ispartoflocationGold Coast, Australiaen_US
dc.rights.retentionYen_AU
dc.subject.fieldofresearchcode280203en_US
dc.titleA Comparison of Neural-based Techniques Investigating Rotational Invariance for Upright People Detection in Low Resolution Imageryen_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.date.issued2007
gro.hasfulltextNo Full Text


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

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