This paper presents a complete method for pedestrian detection applied to infrared images. First, we study an image descriptor based on histograms of oriented gradients (HOG), associated with a Support Vector Machine (SVM) classifier and evaluate its efficiency. After having tuned the HOG descriptor and the classifier, we include this method in a complete system, which deals with stereo infrared images. This approach gives good results for window classification, and a preliminary test applied on a video sequence proves that this approach is very promising.


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    Title :

    Pedestrian Detection using Infrared images and Histograms of Oriented Gradients


    Contributors:
    Suard, F. (author) / Rakotomamonjy, A. (author) / Bensrhair, A. (author) / Broggi, A. (author)


    Publication date :

    2006-01-01


    Size :

    3296445 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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