DocumentCode :
2643309
Title :
Road bridge sign detection and classification
Author :
Marmo, Roberto ; Lombardi, Luca
Author_Institution :
Dipt. di Informatica e Sistemistica, Pavia Univ.
fYear :
2006
fDate :
17-20 Sept. 2006
Firstpage :
823
Lastpage :
826
Abstract :
In this research the problem of the detection and classification of road bridge sign has been faced, in particular, at butterfly bridge configuration. The first step concerns the robust identification of the rectangular sign, through the optical flow analysis. The second step concerns rectangular sign detection based on searching gray level discontinuity on the image and Hough transform. The classification is based on analysis of surface color on inner part, detection of shape and color of rectangular border around the sign, arrows direction analysis. Our approach can detect sign candidates in presence of complex background
Keywords :
Hough transforms; bridges (structures); image classification; image colour analysis; image sequences; object detection; roads; traffic engineering computing; Hough transform; arrows direction analysis; butterfly bridge configuration; image gray level discontinuity searching; optical flow analysis; rectangular border color detection; rectangular sign detection; road bridge sign classification; road bridge sign detection; shape detection; surface color analysis; Face detection; Image color analysis; Image edge detection; Image motion analysis; Information analysis; Road transportation; Shape; Structural panels; Traffic control; Vehicle detection;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Transportation Systems Conference, 2006. ITSC '06. IEEE
Conference_Location :
Toronto, Ont.
Print_ISBN :
1-4244-0093-7
Electronic_ISBN :
1-4244-0094-5
Type :
conf
DOI :
10.1109/ITSC.2006.1706845
Filename :
1706845
Link To Document :
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