TY - GEN
T1 - Traffic light detection with color and edge information
AU - Omachi, Masako
AU - Omachi, Shinichiro
PY - 2009/11/12
Y1 - 2009/11/12
N2 - The concern of the intelligent transportation system rises and many driver support systems have been developed. In this paper, a fast method of detecting a traffic light in a scene image is proposed. By converting the color space from RGB to normalized RGB, some regions are selected as candidates of a traffic light. Then a method based on the Hough transform is applied to detect an exact region. Experimental results using images including a traffic light verifies the effectiveness of the proposed method.
AB - The concern of the intelligent transportation system rises and many driver support systems have been developed. In this paper, a fast method of detecting a traffic light in a scene image is proposed. By converting the color space from RGB to normalized RGB, some regions are selected as candidates of a traffic light. Then a method based on the Hough transform is applied to detect an exact region. Experimental results using images including a traffic light verifies the effectiveness of the proposed method.
KW - Driver support system
KW - Hough transform
KW - Image recognition
KW - Intelligent transportation system
KW - Traffic light
UR - http://www.scopus.com/inward/record.url?scp=70350788880&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=70350788880&partnerID=8YFLogxK
U2 - 10.1109/ICCSIT.2009.5234518
DO - 10.1109/ICCSIT.2009.5234518
M3 - Conference contribution
AN - SCOPUS:70350788880
SN - 9781424445196
T3 - Proceedings - 2009 2nd IEEE International Conference on Computer Science and Information Technology, ICCSIT 2009
SP - 284
EP - 287
BT - Proceedings - 2009 2nd IEEE International Conference on Computer Science and Information Technology, ICCSIT 2009
T2 - 2009 2nd IEEE International Conference on Computer Science and Information Technology, ICCSIT 2009
Y2 - 8 August 2009 through 11 August 2009
ER -