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A Frame Selection and Preprocessing Based System Aiming to Improve Face Recognition Rate in Videos

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dc.contributor.authorTopkaya, Ibrahim Saygin
dc.contributor.authorBayazit, Nilguen Gueler
dc.contributor.institutionauthorGÜLER BAYAZIT, Nilgün
dc.date.accessioned2026-06-27T13:09:05Z
dc.date.issued2009
dc.description.abstractIn this work, a method for selecting a subset of frames in a video is proposed, aiming to improve face recognition success rate from the video while using less number of frames. The method's goal is to select frames according to some proposed criteria which is based on positions of the facial features on frame. Positively selected frames are preprocessed with some simple image processing and dimension reduction steps and acquired data is used in a multi-class classifier. Finally, experiments done on whole set of faces and set of faces selected and preprocessed with the proposed method are presented and comparitive results are given.en
dc.identifier.endpage+
dc.identifier.isbn978-1-4244-4435-9
dc.identifier.startpage730
dc.identifier.urihttps://hdl.handle.net/20.500.14981/50428
dc.identifier.wos000273935600183
dc.language.isotur
dc.publisherIEEE
dc.relation.conferenceIEEE 17th Signal Processing and Communications Applications Conference
dc.relation.ispartof2009 IEEE 17TH SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS CONFERENCE, VOLS 1 AND 2
dc.subjectComputer Science
dc.subjectEngineering
dc.subjectTelecommunications
dc.titleA Frame Selection and Preprocessing Based System Aiming to Improve Face Recognition Rate in Videos
dc.typeProceedings Paper
dspace.entity.typePublication
local.import.sourceWOS

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