This article presents a validator stage for a pedestrian detection system based on the use of probabilistic models for the infrared domain. Four different models are employed in order to recognize the pose of the pedestrians; open, almost open, almost closed and fully closed legs are detected. In an attempt to overcome the drawbacks of template-matching in far infrared images, two different approaches are proposed. The algorithm has been tested on an experimental vehicle in different situations and a Receiver Operating Characteristic has been computed.


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    Title :

    Pedestrian Detection in Far Infrared Images based on the use of Probabilistic Templates


    Contributors:
    Bertozzi, M. (author) / Broggi, A. (author) / Gomez, C. Hilario (author) / Fedriga, R. I. (author) / Vezzoni, G. (author) / DelRose, M. (author)


    Publication date :

    2007-06-01


    Size :

    643366 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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