This paper presents the improvements of a system for pedestrian detection in infrared images. The system is based on a multi-resolution localization of warm symmetrical objects with specific size and aspect ratio; the multi-resolution approach allows to detect both close and far pedestrians. A match against a set of 3D models encoding human shape's morphological and thermal characteristics is used as a validation process to remove false positives. No temporal correlation, nor motion cues are used for the processing that is based on the analysis of single frames only.


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    Title :

    A multi-resolution approach for infrared vision-based pedestrian detection


    Contributors:
    Broggi, A. (author) / Fascioli, A. (author) / Carletti, M. (author) / Graf, T. (author) / Meinecke, M. (author)


    Publication date :

    2004-01-01


    Size :

    833422 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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