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
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