Optimisation of pedestrian detection system using FPGA-CPU hybrid implementation for vehicle industry

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dc.authorid0000-0002-4093-1059en_US
dc.contributor.authorÖzcan, Ahmet Remzi
dc.contributor.authorTaysanoglu, Vedat
dc.date.accessioned2021-03-20T20:12:45Z
dc.date.available2021-03-20T20:12:45Z
dc.date.issued2019
dc.departmentBTÜ, Mühendislik ve Doğa Bilimleri Fakültesi, Mekatronik Mühendisliği Bölümüen_US
dc.description.abstractImproved image processing and developing technologies are rapidly expanding the application areas of image processing systems. In recent years, pedestrian detection systems have become one of the major safety technologies used in the automotive industry. This paper presents an optimised real-time pedestrian detection system using an FPGA-CPU based hybrid design. The histograms of oriented gradients (HOG) algorithm, which is extensively used for feature extraction in pedestrian detection applications, was implemented on a low-end FPGA. In the study, the original HOG descriptors are designed in low complexity without sacrificing performance. The obtained features were classified on a low-power single board computer with support vector machine (SVM). Tests with the INRIA pedestrian database show that the proposed model has high potential for use as a real-time low-cost pedestrian detection system in practice.en_US
dc.identifier.doi10.1504/IJVD.2019.109865en_US
dc.identifier.endpage222en_US
dc.identifier.issn0143-3369
dc.identifier.issn1741-5314
dc.identifier.issue2-4en_US
dc.identifier.scopusqualityQ4en_US
dc.identifier.startpage209en_US
dc.identifier.urihttp://doi.org/10.1504/IJVD.2019.109865
dc.identifier.urihttps://hdl.handle.net/20.500.12885/685
dc.identifier.volume80en_US
dc.identifier.wosWOS:000576400300007en_US
dc.identifier.wosqualityQ3en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.institutionauthorÖzcan, Ahmet Remzi
dc.language.isoenen_US
dc.publisherInderscience Enterprises Ltden_US
dc.relation.ispartofInternational Journal Of Vehicle Designen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectoptimisationen_US
dc.subjectvehicle designen_US
dc.subjectHOGen_US
dc.subjecthistogram of oriented gradientsen_US
dc.subjectcomputer visionen_US
dc.subjectpedestrian detectionen_US
dc.subjectFPGAen_US
dc.titleOptimisation of pedestrian detection system using FPGA-CPU hybrid implementation for vehicle industryen_US
dc.typeArticleen_US

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