Implementation of HOG algorithm for Real Time Object Recognition Applications on FPGA based Embedded System

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dc.authorid0000-0002-2126-8757
dc.contributor.authorKarakaya, Fuat
dc.contributor.authorAltun, Halis
dc.contributor.authorCavuslu, Mehmet Ali
dc.date.accessioned2019-08-01T13:38:39Z
dc.date.available2019-08-01T13:38:39Z
dc.date.issued2009
dc.departmentNiğde ÖHÜ
dc.descriptionIEEE 17th Signal Processing and Communications Applications Conference -- APR 09-11, 2009 -- Antalya, TURKEY
dc.description.abstractRecent years HOG algorithm has been used to recognize objects in images, with complex content, with a very high success rate. Hardware implementation of this algorithm is very important because of the fact that it can be used in many object recognition applications. In this work HOG algorithm is implemented on FPGA to recognize different geometrical figures with a very high success rate. Objects vertical and horizontal edges have been sharpened using edge detection algorithms to calculate magnitude and angle of the local gradients. Obtained result are used to construct the histograms of gradient orientation. It is observed that each constructed histogram have distinctive features for every object. Rule based classifiers has been used to implement a successful real time object recognition approach on embedded system.
dc.description.sponsorshipIEEE
dc.identifier.endpage741
dc.identifier.isbn978-1-4244-4435-9
dc.identifier.scopus2-s2.0-70350341752
dc.identifier.scopusqualityN/A
dc.identifier.startpage738
dc.identifier.urihttps://hdl.handle.net/11480/5111
dc.identifier.wosWOS:000273935600185
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.institutionauthor[0-Belirlenecek]
dc.language.isotr
dc.publisherIEEE
dc.relation.ispartof2009 IEEE 17TH SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS CONFERENCE, VOLS 1 AND 2
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.titleImplementation of HOG algorithm for Real Time Object Recognition Applications on FPGA based Embedded System
dc.typeConference Object

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