This paper presents a new road sign recognition method with color and edge based features. In the authors' approach, first, extraction of color regions is performed to reduce the computational costs. Next, Histogram of Oriented Gradient (HOG) features are calculated in all the extracted regions. In calculation of HOG features, the edge gradients are amplified on specific color boundaries with road signs. The road sign recognition can be done by using support vector machine. Experimental results showed that the proposed method can work in real image sequences.
Road sign recognition with color and edge based features
Straßenverkehrszeichenerkennung mittels Farb- und Kantenmerkmalen
2010
5 Seiten, 7 Bilder, 1 Tabelle, 12 Quellen
Conference paper
English
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