Classification of Vehicles in Traffic and Detection Faulty Vehicles by Using ANN Techniques
Küçük Resim Yok
Tarih
2017
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Ieee
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
Number of vehicles in use worldwide per person and depending on this traffic accidents increase day by day. Until today, various studies have been made on detection of the faulty vehicles in traffic. This study; in accordance with this purpose, is realized in order to recognize, classify vehicles on a photo or video that captured on a autoban or road which has two lanes and detect faulty ones between them by using ANN(Artificial Neural Network) and image processing techniques. In this system that developed by using Convolutional Neural Network, the vehicles can be recognized, classified according to their vehicle types and faulty vehicles can be detected with drawing a frame around them.
Açıklama
Scientific Meeting on Electric Electronics, Computer Science, Biomedical Engineerings (EBBT) -- APR 20-21, 2017 -- Istanbul Arel Univ, Istanbul, TURKEY
ALTUN, Yusuf/0000-0002-2099-0959
WOS: 000413686600006
ALTUN, Yusuf/0000-0002-2099-0959
WOS: 000413686600006
Anahtar Kelimeler
neural network, car classification
Kaynak
2017 Electric Electronics, Computer Science, Biomedical Engineerings' Meeting (Ebbt)
WoS Q Değeri
N/A
