Please use this identifier to cite or link to this item: https://hdl.handle.net/11147/9925
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dc.contributor.authorKaraimer, Hakkı Cantr
dc.contributor.authorBaştanlar, Yalıntr
dc.date.accessioned2021-01-24T18:31:42Z-
dc.date.available2021-01-24T18:31:42Z-
dc.date.issued2015-
dc.identifier.isbn978-1-4673-7386-9-
dc.identifier.issn2165-0608-
dc.identifier.urihttps://hdl.handle.net/11147/9925-
dc.description23nd Signal Processing and Communications Applications Conference (SIU)en_US
dc.description.abstractWe describe a shape-based method for classification of vehicles from omnidirectional videos. Different from similar approaches, the binary images of vehicles obtained by background subtraction in a sequence of frames are averaged over time. We show with experiments that using the average shape of the object results in a more accurate classification than using a single frame. The vehicle types we classify are motorcycle, car and van. We created an omnidirectional video dataset and repeated experiments with shuffled train-test sets to ensure randomization.en_US
dc.language.isotren_US
dc.publisherIEEEen_US
dc.relation.ispartof2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 - Proceedingsen_US
dc.relation.ispartofseriesSignal Processing and Communications Applications Conference-
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectOmnidirectional cameraen_US
dc.subjectOmnidirectional videoen_US
dc.subjectVehicle detectionen_US
dc.subjectVehicle classificationen_US
dc.titleZamanda ortalaması alınmış ikili önplan imgeleri kullanarak taşıt sınıflandırmasıtr
dc.title.alternativeClassification of vehicles using binary foreground images averaged over timeen_US
dc.typeConference Objecten_US
dc.institutionauthorKaraimer, Hakkı Cantr
dc.institutionauthorBaştanlar, Yalıntr
dc.departmentİzmir Institute of Technology. Computer Engineeringen_US
dc.identifier.startpage391en_US
dc.identifier.endpage394en_US
dc.identifier.wosWOS:000380500900076en_US
dc.identifier.scopus2-s2.0-84939137254en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıtr
dc.identifier.scopusquality--
item.openairetypeConference Object-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.fulltextWith Fulltext-
item.languageiso639-1tr-
item.cerifentitytypePublications-
item.grantfulltextopen-
crisitem.author.dept03.04. Department of Computer Engineering-
Appears in Collections:Computer Engineering / Bilgisayar Mühendisliği
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection
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