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dc.contributor.authorTabb, Ken
dc.contributor.authorGeorge, S.
dc.contributor.authorDavey, N.
dc.contributor.authorAdams, R.G.
dc.date.accessioned2007-10-03T14:36:10Z
dc.date.available2007-10-03T14:36:10Z
dc.date.issued2000
dc.identifier.citationTabb , K , George , S , Davey , N & Adams , R G 2000 , ' Analysis of human motion using snakes and neural networks ' , Lecture Notes in Computer Science , vol. 1899 , pp. 48-57 . https://doi.org/10.1007/10722604_5
dc.identifier.issn1611-3349
dc.identifier.otherPURE: 100475
dc.identifier.otherPURE UUID: 6e71e6f7-065c-4278-a898-80b736e31000
dc.identifier.otherdspace: 2299/821
dc.identifier.otherScopus: 84944074239
dc.identifier.urihttp://hdl.handle.net/2299/821
dc.descriptionThe original publication is available at www.springerlink.com
dc.description.abstractA novel technique is described for analysing human movement in outdoor scenes. Following initial detection of the humans using active contour models, the contours are then re-represented as normalised axis crossover vectors. These vectors are then fed into a neural network which determines the typicality of a given human shape, allowing for a given human’s motion deformation to be analysed. Experiments are described which investigate the success of the technique being presented.en
dc.language.isoeng
dc.relation.ispartofLecture Notes in Computer Science
dc.titleAnalysis of human motion using snakes and neural networksen
dc.contributor.institutionHealth and Human Sciences Central
dc.contributor.institutionScience & Technology Research Institute
dc.contributor.institutionSchool of Computer Science
dc.description.statusPeer reviewed
rioxxterms.versionofrecordhttps://doi.org/10.1007/10722604_5
rioxxterms.typeJournal Article/Review
herts.preservation.rarelyaccessedtrue


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