DocumentCode
3434794
Title
Traffic indication symbols recognition with shape context
Author
Kai Li ; Weiyao Lan
Author_Institution
Dept. of Autom., Xiamen Univ., Xiamen, China
fYear
2011
fDate
3-5 Aug. 2011
Firstpage
852
Lastpage
855
Abstract
A novel traffic indication symbol detection and recognition method is introduced in this paper. We firstly apply color detection and shape detection on the real-time image to locate and extract the symbol region. Then the traffic indication sign is matched and recognized by using shape context. Experimental result demonstrates the proposed algorithm has good performance on recognition and more robustness to the disturbances.
Keywords
edge detection; feature extraction; image colour analysis; image matching; shape recognition; traffic engineering computing; color detection; real-time image; shape detection; symbol region extraction; traffic indication sign matching; traffic indication symbol detection; traffic indication symbol recognition; Context; Educational institutions; Histograms; Image color analysis; Image edge detection; Shape; Transforms; HIS (Hue; Saturation and Intensity) color model; detection and recognition; shape context; traffic indication symbols;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science & Education (ICCSE), 2011 6th International Conference on
Conference_Location
Singapore
Print_ISBN
978-1-4244-9717-1
Type
conf
DOI
10.1109/ICCSE.2011.6028771
Filename
6028771
Link To Document