Computer Engineering / Bilgisayar Mühendisliği

Permanent URI for this collectionhttps://hdl.handle.net/11147/10

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Publisher: search.filters.publisher.IEEESubject: search.filters.subject.Vehicle classification

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  • Conference Object
    Zamanda ortalaması alınmış ikili önplan imgeleri kullanarak taşıt sınıflandırması
    (IEEE, 2015) Karaimer, Hakkı Can; Baştanlar, Yalın
    We 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.