Lund University, Sweden, is developing a video analysis system for making long-term behavioural studies, primarily in complex urban environments. Road users are detected using the KLT (Kanade-Lucas-Tomasi) interest point tracker. Trajectories are estimated using foreground-background segmentation, whereas speed is estimated using the shape analysis of interest points. The extracted trajectories are further used for behavioural analysis. The authors present the experience from an ongoing study in Stockholm city, where the task was to find out if allowing two-way bicycle traffic on one-way streets had negative effects on safety. The video analysis system was applied to detect biking in the -wrong- direction and analyse traffic conflicts between cyclists and other road users. The manual observations done in parallel allowed validating the accuracy of system performance.


    Zugriff

    Zugriff über TIB

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Application of automated video analysis for behavioural studies: concept and experience


    Beteiligte:
    Laureshyn, A. (Autor:in) / Ardo, H. (Autor:in) / Svensson, A. (Autor:in) / Jonsson, T. (Autor:in)

    Erschienen in:

    Erscheinungsdatum :

    2009


    Format / Umfang :

    13 Seiten, 27 Quellen




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Print


    Sprache :

    Englisch




    Application of automated video analysis for behavioural studies: concept and experience

    Laureshyn, A. / Ardo¨, H. / Svensson, A˚. et al. | IET | 2009


    Automated vehicles and behavioural adaptation in Canada

    Robertson, Robyn D. / Meister, Shawna R. / Vanlaar, Ward G.M. et al. | Elsevier | 2017


    Test Drives and Behavioural Studies

    Grayson, G. B. / Transport Research Laboratory | British Library Conference Proceedings | 1998



    Automated Video-Based Traffic County Analysis

    C. Taylor / Y. Yang / R. Kennedy | NTIS | 2016