Koyuncu, MuratKoyuncu,M.Cetinkaya,B.Information Systems Engineering2024-07-052024-07-0520150978-146737386-910.1109/SIU.2015.71298872-s2.0-84939167412https://doi.org/10.1109/SIU.2015.7129887https://hdl.handle.net/20.500.14411/3763In 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.trinfo:eu-repo/semantics/closedAccessComponent based object detectionFeature vectorsFusionSVMConference Object565568