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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    Titel :

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


    Beteiligte:
    Broggi, A. (Autor:in) / Fascioli, A. (Autor:in) / Carletti, M. (Autor:in) / Graf, T. (Autor:in) / Meinecke, M. (Autor:in)


    Erscheinungsdatum :

    2004-01-01


    Format / Umfang :

    833422 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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