A fusion method of multi spectral video sources for pedestrian localization is presented. The question of how an image from a far infrared (FIR) camera can be registered with an image from a CMOS video camera to extract distance information is discussed. Because the nature of thermal images is quite different to standard video images, one of the biggest challenges is to find mutual information from each of the cameras that can be combined. A new approach for multi-modal stereo-matching based on contour information as common feature is introduced. In the first step, the object contour is extracted on hot spots in the FIR image by means of extended active contour models. In the second step the stereo correspondence problem is solved with a fast active contour shape matching algorithm utilizing the epipolar constraint. Finally, a postponed image classification based on histograms of gradients decides if the region of interest encloses a relevant object such as a pedestrian.


    Access

    Access via TIB

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Multi spectral pedestrian detection and localization


    Additional title:

    Fußgängererkennung und -lokalisierung mit Mehrspektralkameras


    Contributors:
    Bauer, G. (author) / Homm, F. (author) / Walchshäusl, L. (author) / Burschka, D. (author)


    Publication date :

    2008


    Size :

    15 Seiten, 8 Bilder, 18 Quellen




    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




    Cooperative multi-user detection and localization for pedestrian protection

    Morhart, Christian / Biebl, Erwin / Schwarz, Daniel et al. | Tema Archive | 2009


    Shape-Based Pedestrian Detection and Localization

    Bertozzi, M. / Broggi, A. / Chapuis, R. et al. | British Library Conference Proceedings | 2003


    Shape-based pedestrian detection and localization

    Bertozzi, M. / Broggi, A. / Chapuis, R. et al. | IEEE | 2003



    RANGING ASSISTED PEDESTRIAN LOCALIZATION

    KASSIR SAADALLAH / BALASUBRAMANIAN ANANTHARAMAN / GULATI KAPIL | European Patent Office | 2024

    Free access