Detection of vehicle with Infrared images in Road Traffic using YOLO computational mechanism

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dc.contributor.authorMahmood, M.T.
dc.contributor.authorAhmed, S.R.A.
dc.contributor.authorAhmed, M.R.A.
dc.date.accessioned2024-09-29T16:21:02Z
dc.date.available2024-09-29T16:21:02Z
dc.date.issued2020
dc.departmentKarabük Üniversitesien_US
dc.description2nd International Scientific Conference of Al-Ayen University, ISCAU 2020 -- 15 July 2020 through 17 July 2020 -- Thi-Qar, Virtual -- 165187en_US
dc.description.abstractVehicle counting is an important process in the estimation of road traffic density to evaluate the traffic conditions in intelligent transportation systems. With increased use of cameras in urban centers and transportation systems, surveillance videos have become central sources of data. Vehicle detection is one of the essential uses of object detection in intelligent transport systems. Object detection aims at extracting certain vehicle-related information from videos and pictures containing vehicles. This form of information collection in intelligent systems is faced with low detection accuracy, inaccuracy in vehicle type detection, slow processing speeds. In this research, we propose a vehicle detection system from infrared images using YOLO (You Look Only Once) computational mechanism. The YOLO mechanism can apply different machine or deep learning algorithms for accurate vehicle type detection. In this study we propose an infrared based technique to combine with YOLO for vehicle detection in traffic. This method will be compared with a machine learning technique of K-means++ clustering algorithm, a deep learning mechanism of multitarget detection and infrared imagery using convolutional neutral network © Published under licence by IOP Publishing Ltd.en_US
dc.identifier.doi10.1088/1757-899X/928/2/022027
dc.identifier.issn1757-8981
dc.identifier.issue2en_US
dc.identifier.scopus2-s2.0-85097401367en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.urihttps://doi.org/10.1088/1757-899X/928/2/022027
dc.identifier.urihttps://hdl.handle.net/20.500.14619/9491
dc.identifier.volume928en_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherIOP Publishing Ltden_US
dc.relation.ispartofIOP Conference Series: Materials Science and Engineeringen_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectDetectionen_US
dc.subjectInfrareden_US
dc.subjectIntelligent transport systemen_US
dc.subjectSpatial resolutionen_US
dc.subjectYOLOen_US
dc.titleDetection of vehicle with Infrared images in Road Traffic using YOLO computational mechanismen_US
dc.typeConference Objecten_US

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