Detection of Traffic Light Violations from Fish Eye Driver Cameras of Public Transport Buses

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dc.authoridOzdemir, Mehmet Fatih/0000-0003-3563-054X
dc.contributor.authorErcan, Burak
dc.contributor.authorOzdemir, Mehmet Fatih
dc.contributor.authorEker, Onur
dc.contributor.authorBaytekin, Mehmet Can
dc.contributor.authorBal, Murat
dc.date.accessioned2024-08-04T20:54:46Z
dc.date.available2024-08-04T20:54:46Z
dc.date.issued2023
dc.departmentİnönü Üniversitesien_US
dc.description31st IEEE Conference on Signal Processing and Communications Applications (SIU) -- JUL 05-08, 2023 -- Istanbul Tech Univ, Ayazaga Campus, Istanbul, TURKEYen_US
dc.description.abstractNowadays, automatic detection of traffic rule violations become an important part of smart transportation networks. Among these, automatic detection of traffic light violations is one of the most needed due to their serious effects on life and property safety. In this study, we propose a method based on computer vision and deep learning techniques for the automatic detection of traffic light violations of public transport buses. Our method is designed to work with images taken from fish eye driver cameras, which are currently used for security purposes in buses, in order not to create the need for additional equipment. With our experiments, it has been shown that the object detection models in the literature and in addition, a simple method using optical flow are insufficient for this problem, whereas our proposed method produces successful results.en_US
dc.description.sponsorshipIEEE,TUBITAK BILGEM,Turkcellen_US
dc.identifier.doi10.1109/SIU59756.2023.10223976
dc.identifier.isbn979-8-3503-4355-7
dc.identifier.issn2165-0608
dc.identifier.scopus2-s2.0-85173439915en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.urihttps://doi.org/10.1109/SIU59756.2023.10223976
dc.identifier.urihttps://hdl.handle.net/11616/101608
dc.identifier.wosWOS:001062571000198en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isotren_US
dc.publisherIeeeen_US
dc.relation.ispartof2023 31st Signal Processing and Communications Applications Conference, Siuen_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectAutomatic detection of traffic violationsen_US
dc.subjectsmart citiesen_US
dc.titleDetection of Traffic Light Violations from Fish Eye Driver Cameras of Public Transport Busesen_US
dc.typeConference Objecten_US

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