This paper describes an approach for pedestrian detection in stereo infrared images. The developed system has been implemented on an experimental vehicle equipped with two infrared cameras and preliminarily tested in different situations. It is based on the localization and distance estimation of warm areas in the scene; the algorithm groups areas with similar position and considers only results with specific size and aspect ratio. A final validation process, based on the head shape's morphological and thermal characteristics, is used to build the list of potential pedestrian appearing in the scene. Neither temporal correlation, nor motion cues are used in this processing.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Infrared stereo vision-based pedestrian detection


    Contributors:
    Bertozzi, M. (author) / Broggi, A. (author) / Lasagni, A. (author) / Rose, M.D. (author)


    Publication date :

    2005-01-01


    Size :

    1336061 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Infrared Stereo Vision-based Pedestrian Detection

    Bertozzi, M. / Broggi, A. / Lasagni, A. et al. | British Library Conference Proceedings | 2005


    Pedestrian detection by means of far-infrared stereo vision

    Bertozzi, M. / Broggi, A. / Caraffi, C. et al. | British Library Online Contents | 2007


    Stereo Vision-based approaches for Pedestrian Detection

    Bertozzi, M. / Binelli, E. / Broggi, A. et al. | IEEE | 2005


    Pedestrian Detection Using Stereo Night Vision

    Liu, X. / Fujimura, K. / IEEE | British Library Conference Proceedings | 2003


    Pedestrian detection using stereo night vision

    Xia Liu, / Fujimura, K. | IEEE | 2003