Motorbikes are often difficult to detect in overhead road traffic images due to the variability of color, size, shape as well as trajectories. This paper tackles the problem of robust and real time image segmentation for motorbike counting. First of all, we perform background subtraction. Foreground blobs are then refined with Laplacian densities. This fusion enables to achieve a significant robustness to cast shadows. Thus, simple features, such as area, height and width, can be used to discriminate motorbikes from other vehicles. Our real time algorithm achieves interesting performances on multiple real traffic video sequences.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Robust image segmentation for overhead real time motorbike counting


    Beteiligte:
    Dupuis, Y. (Autor:in) / Subirats, P. (Autor:in) / Vasseur, P. (Autor:in)


    Erscheinungsdatum :

    01.10.2014


    Format / Umfang :

    1073398 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Motorbike power supply circuit, motorbike power supply system and motorbike

    LAI GUOGUI / YUAN ZHANGPING / CHEN ZHIYONG et al. | Europäisches Patentamt | 2015

    Freier Zugriff

    MOTORBIKE TIRE

    OBANA KENTARO | Europäisches Patentamt | 2020

    Freier Zugriff

    Motorbike tire

    JUNICHIRO MOROZUMI | Europäisches Patentamt | 2015

    Freier Zugriff

    SAFE MOTORBIKE

    ACEVEDO ORDUÑA GERMAN LEONARDO | Europäisches Patentamt | 2023

    Freier Zugriff

    MOTORBIKE TIRE

    HARADA YOICHI | Europäisches Patentamt | 2021

    Freier Zugriff