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dc.contributor.authorTürkan, Mehmeten_US
dc.contributor.authorDülek, Berkanen_US
dc.contributor.authorOnaran, İbrahimen_US
dc.contributor.authorÇetin, A. Enisen_US
dc.coverage.spatialOrlando, Florida, United Statesen_US
dc.date.accessioned2016-02-08T11:48:16Zen_US
dc.date.available2016-02-08T11:48:16Zen_US
dc.date.issued2006en_US
dc.identifier.issn0277-786Xen_US
dc.identifier.urihttp://hdl.handle.net/11693/27235en_US
dc.descriptionDate of Conference: 17-21 April 2006en_US
dc.descriptionConference Name: SPIE Defense and Security Symposium, 2006en_US
dc.description.abstractIn this paper, a human face detection method in images and video is presented. After determining possible face candidate regions using color information, each region is filtered by a high-pass filter of a wavelet transform. In this way, edges of the region are highlighted, and a caricature-like representation of candidate regions is obtained. Horizontal, vertical and filter-like projections of the region are used as feature signals in dynamic programming (DP) and support vector machine (SVM) based classifiers. It turns out that the support vector machine based classifier provides better detection rates compared to dynamic programming in our simulation studies.en_US
dc.language.isoEnglishen_US
dc.source.titleProceedings of SPIE Vol. 6246, Visual Information Processing XVen_US
dc.relation.isversionofhttp://dx.doi.org/10.1117/12.666704en_US
dc.subjectDynamic programmingen_US
dc.subjectEdge projectionsen_US
dc.subjectHuman face detectionen_US
dc.subjectSupport vector machinesen_US
dc.subjectFace recognitionen_US
dc.titleHuman face detection in video using edge projectionsen_US
dc.typeConference Paperen_US
dc.departmentDepartment of Electrical and Electronics Engineeringen_US
dc.citation.volumeNumber6246en_US
dc.identifier.doi10.1117/12.666704en_US
dc.publisherSPIEen_US
dc.contributor.bilkentauthorÇetin, A. Enis
buir.contributor.orcidÇetin, A. Enis|0000-0002-3449-1958en_US


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