DocumentCode :
1617749
Title :
Retrieval of contextual information on Korean road sign
Author :
Ha, Jong-Eun ; Shim, Jin-Bum ; Choi, Keun-Ho
Author_Institution :
Dept. of Automotive Eng., Seoul Nat. Univ. of Technol., Seoul
fYear :
2008
Firstpage :
1753
Lastpage :
1756
Abstract :
Automatic extraction of contextual information on road sign can be used in various applications such as scene interpretation and autonomous navigation. This paper proposes a method for the automatic detection of contextual information on Korean road sign. It usually consists of various information such as directional symbol, the name of place according to direction, and corresponding route number. All this information is automatically detected using image processing. First, target area containing a road sign on image is found using learning based object detection algorithm. Next, grouping into Korean and English characters, direction symbol, and roadpsilas digit is done. Finally, contextual information is obtained by analyzing each group using color and geometric features.
Keywords :
information retrieval; object detection; Korean Road Sign; autonomous navigation; contextual information retrieval; directional symbol; geometric features; image processing; learning based object detection algorithm; scene interpretation; Automatic control; Automation; Context; Control systems; Data mining; Information retrieval; Layout; Navigation; Object detection; Roads; Road sign; contextual information; object detection;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control, Automation and Systems, 2008. ICCAS 2008. International Conference on
Conference_Location :
Seoul
Print_ISBN :
978-89-950038-9-3
Electronic_ISBN :
978-89-93215-01-4
Type :
conf
DOI :
10.1109/ICCAS.2008.4694512
Filename :
4694512
Link To Document :
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