@inproceedings{77b77e82b06149a4a4ae0d316fd806a7,
title = "T{\"u}rk{\.i}ye karayollarindak{\.i} traf{\.i}k {\.i}{\c s} aretler{\.i}n{\.i}n otomat{\.i}k taninmasi",
abstract = "With the development of information technologies, intelligent vehicle and driver support systems that can warn the driver or sometimes control movements of the vehicle by watching situation of roads and traffic signs are started to take place more in our daily life. This paper introduces a solution that can be a part of such systems to detect and match traffic signs in Turkish Highways automatically. The video images taken from a vehicle are processed to find probable regions of traffic signs. For each region, whether the region is a sign and the type of sign are determined by using features of traffic signs in the database. With the proposed approach, signs were recognized in various scenes, different scales, and viewing angles. Speed performance of the approach is sufficient to implement a real-time system in the future.",
author = "Yali{\c c}, \{Hamdi Yalin\} and Can, \{Ahmet Burak\}",
year = "2011",
doi = "10.1109/SIU.2011.5929749",
language = "T{\"u}rk{\c c}e",
isbn = "9781457704635",
series = "2011 IEEE 19th Signal Processing and Communications Applications Conference, SIU 2011",
pages = "722--725",
booktitle = "2011 IEEE 19th Signal Processing and Communications Applications Conference, SIU 2011",
note = "2011 IEEE 19th Signal Processing and Communications Applications Conference, SIU 2011 ; Conference date: 20-04-2011 Through 22-04-2011",
}