Utilize este identificador para referenciar este registo: http://hdl.handle.net/10071/16344
Registo completo
Campo DCValorIdioma
dc.contributor.authorVerlekar, T. T.-
dc.contributor.authorCorreia, P. L.-
dc.contributor.authorSoares, L. D.-
dc.date.accessioned2018-07-12T09:59:16Z-
dc.date.available2018-07-12T09:59:16Z-
dc.date.issued2017-
dc.identifier.isbn978-0-9928626-7-1-
dc.identifier.issn2076-1465-
dc.identifier.urihttps://ciencia.iscte-iul.pt/id/ci-pub-40066-
dc.identifier.urihttp://hdl.handle.net/10071/16344-
dc.descriptionWOS:000426986000189 (Nº de Acesso Web of Science)-
dc.description.abstractSurveillance of public spaces is often conducted with the help of cameras placed at elevated positions. Recently, drones with high resolution cameras have made it possible to perform overhead surveillance of critical spaces. However, images obtained in these conditions may not contain enough body features to allow conventional biometric recognition. This paper introduces a novel gait recognition system which uses the shadows cast by users, when available. It includes two main contributions: (i) a method for shadow segmentation, which analyzes the orientation of the silhouette contour to identify the feet position along time, in order to separate the body and shadow silhouettes connected at such positions; (ii) a method that normalizes the segmented shadow silhouettes, by applying a transformation derived from optimizing the low rank textures of a gait texture image, to compensate for changes in view and shadow orientation. The normalized shadow silhouettes can then undergo a gait recognition algorithm, which in this paper relies on the computation of a gait energy image, combined with linear discriminant analysis for user recognition. The proposed system outperforms the available state-of-the-art, being robust to changes in acquisition viewpoints.por
dc.language.isoengpor
dc.publisherIEEEpor
dc.relationinfo:eu-repo/grantAgreement/FCT/5876/147328/PTpor
dc.rightsopenAccesspor
dc.subjectShadow biometricspor
dc.subjectGait recognitionpor
dc.titleGait recognition using normalized shadowspor
dc.typeconferenceObjectpor
dc.pagination936-940en_US
dc.peerreviewedyespor
dc.journal25th European Signal Processing Conference, EUSIPCO 2017en_US
degois.publication.firstPage936por
degois.publication.lastPage940por
degois.publication.locationKospor
degois.publication.title25th European Signal Processing Conference, EUSIPCO 2017por
dc.date.updated2018-07-12T09:58:29Z-
dc.description.versioninfo:eu-repo/semantics/acceptedVersion-
dc.identifier.doi10.23919/EUSIPCO.2017.8081345-
Aparece nas coleções:IT-CRI - Comunicações a conferências internacionais

Ficheiros deste registo:
Ficheiro Descrição TamanhoFormato 
Gait Recognition Using Shadow Biometrics.pdfPós-print767,9 kBAdobe PDFVer/Abrir


FacebookTwitterDeliciousLinkedInDiggGoogle BookmarksMySpaceOrkut
Formato BibTex mendeley Endnote Logotipo do DeGóis Logotipo do Orcid 

Todos os registos no repositório estão protegidos por leis de copyright, com todos os direitos reservados.