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A Two Stage Template Matching Algorithm and Its Implementation on FPGA

dc.contributor.authorTöreyin, Behçet Uğur
dc.contributor.authorSever, Refik
dc.contributor.authorTöreyin, Behçet Uğur
dc.contributor.authorID19325tr_TR
dc.date.accessioned2020-04-19T23:53:12Z
dc.date.available2020-04-19T23:53:12Z
dc.date.issued2015
dc.departmentÇankaya Üniversitesi, Mühendislik Fakültesi, Elektrik Elektronik Mühendisliği Bölümüen_US
dc.description.abstractIn this paper, to decrease the computational cost and number of cycles in Template Matching Algorithm, a novel two-stage algorithm is proposed. The Sum of Absolute Differences method is used for matching. The proposed algorithm is implemented on Field-Programmable-Gate-Array (FPGA). The algorithm is accelerated with the effective usage of Block RAMs distributed on FPGA. Thus, the proposed algorithm became fast enough for real time object tracking applications on UAVs.en_US
dc.identifier.citationToreyin, Behcet Ugur; Aktas, Hakan; Sever, Refik, "A Two Stage Template Matching Algorithm and Its Implementation on FPGA", 23nd Signal Processing and Communications Applications Conference (SIU), pp. 2214-2217, (2015).en_US
dc.identifier.endpage2217en_US
dc.identifier.issn2165-0608
dc.identifier.startpage2214en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12416/3379
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.relation.ispartof23nd Signal Processing and Communications Applications Conference (SIU)en_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectTemplate Matchingen_US
dc.subjectSum of Absolute Differencesen_US
dc.subjectField-Programmable-Gate-Array (FPGA)en_US
dc.subjectParallel Processingen_US
dc.subjectMemory Adressingen_US
dc.subjectUnmanned Air Vehicle (UAV)en_US
dc.titleA Two Stage Template Matching Algorithm and Its Implementation on FPGAtr_TR
dc.titleA Two Stage Template Matching Algorithm and Its Implementation on Fpgaen_US
dc.typeConference Objecten_US
dspace.entity.typePublication
relation.isAuthorOfPublication31d067df-3d94-4058-a635-943b70f82ea4
relation.isAuthorOfPublication.latestForDiscovery31d067df-3d94-4058-a635-943b70f82ea4

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