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.


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    Title :

    Road sign recognition with color and edge based features


    Additional title:

    Straßenverkehrszeichenerkennung mittels Farb- und Kantenmerkmalen


    Contributors:


    Publication date :

    2010


    Size :

    5 Seiten, 7 Bilder, 1 Tabelle, 12 Quellen



    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




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