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dc.contributor.authorTabb, Ken
dc.contributor.authorDavey, N.
dc.contributor.authorGeorge, S.
dc.contributor.authorAdams, R.G.
dc.date.accessioned2008-02-05T12:12:16Z
dc.date.available2008-02-05T12:12:16Z
dc.date.issued1999
dc.identifier.citationTabb , K , Davey , N , George , S & Adams , R G 1999 , Human shape recognition from snakes using neural networks . in In: Procs 3rd Int Conf on Computational Intelligence and Multimedia Applications (ICCIMA'99) . IEEE , pp. 292-296 . https://doi.org/10.1109/ICCIMA.1999.798545
dc.identifier.isbn0-7695-0300-4
dc.identifier.otherPURE: 88938
dc.identifier.otherPURE UUID: 2266acd6-0930-434e-9d8d-45ed619b7641
dc.identifier.otherdspace: 2299/1563
dc.identifier.otherScopus: 49249125850
dc.identifier.urihttp://hdl.handle.net/2299/1563
dc.descriptionThis material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.---- Copyright 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. --DOI : 10.1109/ICCIMA.1999.798545
dc.description.abstractThis paper documents experiments which have been carried out with several neural network systems designed to categorise pedestrian shapes from non-pedestrian shapes. Active Contour models (‘Snakes’) [1] have been used to obtain contours of pedestrians as they move around the visual field. Neural networks have then been trained on representations of these relaxed snakes. The neural network systems developed can successfully discriminate these contours based upon whether they are ‘pedestrian’ in shape or not. Results are presented along with a discussion of some of the system’s possible applications.en
dc.language.isoeng
dc.publisherIEEE
dc.relation.ispartofIn: Procs 3rd Int Conf on Computational Intelligence and Multimedia Applications (ICCIMA'99)
dc.titleHuman shape recognition from snakes using neural networksen
dc.contributor.institutionHealth and Human Sciences Central
dc.contributor.institutionScience & Technology Research Institute
dc.contributor.institutionSchool of Computer Science
dc.contributor.institutionCentre for Computer Science and Informatics Research
rioxxterms.versionofrecordhttps://doi.org/10.1109/ICCIMA.1999.798545
rioxxterms.typeOther
herts.preservation.rarelyaccessedtrue


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