Feature fusion in part-based object detection;
dc.authorscopusid | 7004305370 | |
dc.authorscopusid | 56247445700 | |
dc.contributor.author | Koyuncu, Murat | |
dc.contributor.author | Cetinkaya,B. | |
dc.contributor.other | Information Systems Engineering | |
dc.date.accessioned | 2024-07-05T15:44:30Z | |
dc.date.available | 2024-07-05T15:44:30Z | |
dc.date.issued | 2015 | |
dc.department | Atılım University | en_US |
dc.department-temp | Koyuncu M., Bilişim Sistemleri Mühendisliʇi Bölümü, Atilim Üniversitesi, Ankara, Turkey; Cetinkaya B., Mühendislik Sistemlerinin Tasarimi Ve Modellenmesi, Atilim Üniversitesi, Ankara, Turkey | en_US |
dc.description.abstract | In 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.citation | 0 | |
dc.identifier.doi | 10.1109/SIU.2015.7129887 | |
dc.identifier.endpage | 568 | en_US |
dc.identifier.isbn | 978-146737386-9 | |
dc.identifier.scopus | 2-s2.0-84939167412 | |
dc.identifier.startpage | 565 | en_US |
dc.identifier.uri | https://doi.org/10.1109/SIU.2015.7129887 | |
dc.identifier.uri | https://hdl.handle.net/20.500.14411/3763 | |
dc.language.iso | tr | en_US |
dc.publisher | Institute of Electrical and Electronics Engineers Inc. | en_US |
dc.relation.ispartof | 2015 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 -- 113052 | en_US |
dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.subject | Component based object detection | en_US |
dc.subject | Feature vectors | en_US |
dc.subject | Fusion | en_US |
dc.subject | SVM | en_US |
dc.title | Feature fusion in part-based object detection; | en_US |
dc.title.alternative | Parça Bazli Nesne Tanimada Öznitelik Füzyonu | en_US |
dc.type | Conference Object | en_US |
dspace.entity.type | Publication | |
relation.isAuthorOfPublication | 948643aa-7723-4c65-8da8-fcc884405cd1 | |
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