Multi-Image Crowd Density Estimation using Multi Column Deep Neural Network

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dc.authorid0000-0002-4595-8031en_US
dc.contributor.authorKurnaz, Oğuzhan
dc.contributor.authorHanilçi, Cemal
dc.date.accessioned2021-03-20T20:26:51Z
dc.date.available2021-03-20T20:26:51Z
dc.date.issued2020
dc.departmentBTÜ, Mühendislik ve Doğa Bilimleri Fakültesi, Mekatronik Mühendisliği Bölümüen_US
dc.description28th Signal Processing and Communications Applications Conference, SIU 2020 -- 5 October 2020 through 7 October 2020 -- -- 166413en_US
dc.description.abstractCrowd density estimation is a challenging problem for security applications which is a regression task consisting of feature extraction and regression steps. In this paper, multicolumn deep neural networks (MDNN) is proposed for crowd density estimation. Regression task is performed using the feature vector obtained from MDNN. 2000 images selected from the UCSD pedestrian dataset are used in the experiments. In the images, the region of interest (ROI) is filtered and the remaining parts are removed. In order to avoid distortions due to camera position, perspective normalization is applied as a pre-processing step which yields considerable performance improvement. © 2020 IEEE.en_US
dc.identifier.doi10.1109/SIU49456.2020.9302347en_US
dc.identifier.isbn9781728172064
dc.identifier.scopus2-s2.0-85100318915en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.urihttp://doi.org/10.1109/SIU49456.2020.9302347
dc.identifier.urihttps://hdl.handle.net/20.500.12885/1290
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.institutionauthorKurnaz, Oğuzhan
dc.language.isotren_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.ispartof2020 28th Signal Processing and Communications Applications Conference, SIU 2020 - Proceedingsen_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectOguzhan KURNAZ Mekatronik Muhendisligi Bolumu Bursa Teknik Universitesi Bursa, Turkiye oguzhan.kurnaz@btu.edu.tren_US
dc.titleMulti-Image Crowd Density Estimation using Multi Column Deep Neural Networken_US
dc.title.alternativeCok Sutunlu Derin Sinir Aglari Kullanarak Cok Imgeli Kalabalik Yogunluk Kestirimien_US
dc.typeConference Objecten_US

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