Feature fusion in part-based object detection;

dc.authorscopusid7004305370
dc.authorscopusid56247445700
dc.contributor.authorKoyuncu, Murat
dc.contributor.authorCetinkaya,B.
dc.contributor.otherInformation Systems Engineering
dc.date.accessioned2024-07-05T15:44:30Z
dc.date.available2024-07-05T15:44:30Z
dc.date.issued2015
dc.departmentAtılım Universityen_US
dc.department-tempKoyuncu M., Bilişim Sistemleri Mühendisliʇi Bölümü, Atilim Üniversitesi, Ankara, Turkey; Cetinkaya B., Mühendislik Sistemlerinin Tasarimi Ve Modellenmesi, Atilim Üniversitesi, Ankara, Turkeyen_US
dc.description.abstractIn this study, classification of complex objects in images as a whole is compared with classification of its distinctive components using different features. In addition, the impact of feature fusion in part-based object detection is investigated. Applied method, implemented system, conducted tests and their results are presented in this paper. Test results show that, even in the case of a good segmentation, object components are classified more successfully compared to whole object and feature fusion method improves the obtained results to a certain degree. © 2015 IEEE.en_US
dc.identifier.citation0
dc.identifier.doi10.1109/SIU.2015.7129887
dc.identifier.endpage568en_US
dc.identifier.isbn978-146737386-9
dc.identifier.scopus2-s2.0-84939167412
dc.identifier.startpage565en_US
dc.identifier.urihttps://doi.org/10.1109/SIU.2015.7129887
dc.identifier.urihttps://hdl.handle.net/20.500.14411/3763
dc.language.isotren_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.ispartof2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 - Proceedings -- 2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 -- 16 May 2015 through 19 May 2015 -- Malatya -- 113052en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectComponent based object detectionen_US
dc.subjectFeature vectorsen_US
dc.subjectFusionen_US
dc.subjectSVMen_US
dc.titleFeature fusion in part-based object detection;en_US
dc.title.alternativeParça Bazli Nesne Tanimada Öznitelik Füzyonuen_US
dc.typeConference Objecten_US
dspace.entity.typePublication
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relation.isAuthorOfPublication.latestForDiscovery948643aa-7723-4c65-8da8-fcc884405cd1
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relation.isOrgUnitOfPublication.latestForDiscoverycf0fb36c-0500-438e-b4cc-ad1d4ef25579

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