A Real-Time Application of Singular Spectrum Analysis to Object Tracking with SIFT

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dc.authoridOzturk, Ali/0000-0001-8258-6030
dc.contributor.authorOzturk, Ali
dc.contributor.authorCayiroglu, Ibrahim
dc.date.accessioned2024-09-29T16:12:22Z
dc.date.available2024-09-29T16:12:22Z
dc.date.issued2022
dc.departmentKarabük Üniversitesien_US
dc.description.abstractThis study combined SIFT and SSA to propose a novel algorithm for real-time object tracking. The proposed algorithm utilizes an intermediate fixed-size buffer and a modified SSA algorithm. Since the complete reconstruction step of the SSA algorithm was unnecessary, it was considerably simplified. In addition, the execution time of a Matlab implementation of the SSA algorithm was compared with a respective C++ implementation. Moreover, the performance of the two different matching algorithms in the detection, the FlannBasedMatcher and Brute-Force matcher algorithms of the OpenCV library, was compared.en_US
dc.identifier.endpage8877en_US
dc.identifier.issn2241-4487
dc.identifier.issn1792-8036
dc.identifier.issue4en_US
dc.identifier.startpage8872en_US
dc.identifier.urihttps://hdl.handle.net/20.500.14619/8719
dc.identifier.volume12en_US
dc.identifier.wosWOS:000843479700015en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.language.isoenen_US
dc.publisherEos Assocen_US
dc.relation.ispartofEngineering Technology & Applied Science Researchen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectobject trackingen_US
dc.subjectobject detectionen_US
dc.subjectcomputer visionen_US
dc.subjectSIFTen_US
dc.subjectSSAen_US
dc.titleA Real-Time Application of Singular Spectrum Analysis to Object Tracking with SIFTen_US
dc.typeArticleen_US

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