It is important to assess street-parking vehicles causing traffic problems in urban areas, however, it is performed manually and at high cost. It is a top priority for reducing cost, to develop a detection system of those vehicles. We address a spatio-temporal volume and two types of slice surfaces from the volume, and introduce two-types of panoramic street-images, which possibly provide useful information for our daily life. We propose two alternative detection methods, using a laser-range finder and a line-scan camera. In the former detection method, EPI analysis is applied to line-scan images. As a result of verification experiments in real roads, a detection rate reached 76.9%. In the latter detection method, two kinds of cluster analysis are applied to range points: one is for clustering points at each scan, and the other for clustering points over several scans. Each cluster of range points means a vehicle. As a result of verification experiments in real roads, a detection rate reached 90%.


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    Titel :

    Detection of street-parking vehicles from panoramic street image


    Beteiligte:
    Hirahara, K. (Autor:in) / Ikeuchi, K. (Autor:in)


    Erscheinungsdatum :

    2003


    Format / Umfang :

    6 Seiten, 13 Quellen




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Print


    Sprache :

    Englisch





    Detection of Street-Parking Vehicles from Panoramic Street Image

    Hirahara, K. / Ikeuchi, K. / IEEE | British Library Conference Proceedings | 2003


    Extraction of vehicle image from panoramic street-image

    Hirahara, K. / Ikeuchi, K. | IEEE | 2004


    TPP1.04 Extraction of Vehicle Image from Panoramic Street Image

    Hirahara, K. / Ikeuchi, K. / IEEE | British Library Conference Proceedings | 2004