Title :
Automatically Detecting Road Sign Text from Natural Scene Video
Author :
Jia, Wenjing ; He, Xiangjian ; Tien, David
Author_Institution :
Comput. Vision Res. Group, Univ. of Technol., Sydney, NSW
Abstract :
Automatic detection of text on road signs can help drivers keep aware of the traffic situation and surrounding environments by reminding them of the signs ahead. Current systems can only detect constrained road signs or produce unsatisfying performance when dealing with complex scenes in practical use. This paper firstly reviews the existing techniques used for text detection from natural scene. A novel system which detects text on road signs from natural scene video is then proposed. Our detailed approaches and methodology give a promising solution to this problem in order to reduce the running time and improve the recognition rate
Keywords :
image recognition; road safety; road traffic; traffic engineering computing; video signal processing; automatically text detection; natural scene video; road sign text; road traffic; Computer vision; Image recognition; Information technology; Layout; Lighting; Road safety; Road vehicles; Shape; System testing; Text recognition;
Conference_Titel :
TENCON 2006. 2006 IEEE Region 10 Conference
Conference_Location :
Hong Kong
Print_ISBN :
1-4244-0548-3
Electronic_ISBN :
1-4244-0549-1
DOI :
10.1109/TENCON.2006.343914