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dc.contributor.authorPeiris, Akila
dc.contributor.authorEdirisuriya, EATA
dc.contributor.authorAthuraliya, CD
dc.contributor.authorJayasooriya, Isuru
dc.date.accessioned2020-12-31T20:37:54Z
dc.date.available2020-12-31T20:37:54Z
dc.date.issued2020
dc.identifier.urihttp://ir.kdu.ac.lk/handle/345/2953
dc.description.abstractAbstract -The ever growing number of vehicles in a country present a variety of problems including but not limited to; infrastructural problems, air and water pollution and accidents with the latter being the most apparent. The main cause for this being traffic violations. This research was carried out with the intention of detecting motor traffic violations using CCTV footages. While there have been attempts to create automated traffic violation detection systems over the years, these studies have mostly been focused on more streamlined and sparse traffic conditions such as highways. But, the type of traffic conditions observed in Sri Lanka among other developing countries are unruly and chaotic. This paper proposes an automated real-time traffic violation detection system for highly congested and unruly road traffic conditions. The proposed system uses computer vision techniques, machine learning technology in creating a traffic violation detection system.en_US
dc.language.isoenen_US
dc.subjectComputer Visionen_US
dc.subjectTraffic Violation Detectionen_US
dc.subjectKalman Filteren_US
dc.subjectHaar Detectionen_US
dc.titleComputer Vision Based Approach for Traffic Violation Detectionen_US
dc.typeArticle Full Texten_US
dc.identifier.journal13th International Research Conference General Sir John Kotelawala Defence Universityen_US
dc.identifier.pgnos136-139en_US


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