DocumentCode
3268640
Title
Road Sign Detection from Edge Orientation Histograms
Author
Alefs, Bram ; Eschemann, Guy ; Ramoser, Herbert ; Beleznai, Csaba
Author_Institution
Austrian Res. Centers GmbH-ARC, Vienna
fYear
2007
fDate
13-15 June 2007
Firstpage
993
Lastpage
998
Abstract
This paper presents a system for road sign detection based on edge orientation histograms. Edge orientation histograms are reliable, scale and contrast invariant features that can be extracted efficiently using integral images. A learning method is introduced that selects features based on the implicit transmission function of the designer´s template to the object´s appearance in the image. The system is able to detect 85% of the objects on from 12 pixels width and 95% for objects on from 24 pixels width at a low false alarm rate.
Keywords
image recognition; learning (artificial intelligence); edge orientation; false alarm rate; histograms; implicit transmission function; learning method; road sign detection; Computer vision; Histograms; Humans; Image edge detection; Learning systems; Object detection; Roads; Shape; Vehicle detection; Vehicles;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Vehicles Symposium, 2007 IEEE
Conference_Location
Istanbul
ISSN
1931-0587
Print_ISBN
1-4244-1067-3
Electronic_ISBN
1931-0587
Type
conf
DOI
10.1109/IVS.2007.4290246
Filename
4290246
Link To Document