In the framework of the European project CROMATICA, some automatic video analysis systems were developed to improve the quality of service in public transport. These systems encompass various incident detections (such as abnormal station conditions, counter-flow, peopole falling on the track) and crowd measurements (such as people counting, crowd density, people distribution). The current article pays attention to an automatic measurement of the passengers queue length. The system presented is robust to contrast changes and it is able to detect events even under low contrast. It is based on the representation of the images by their level lines, and on a study of the effects of contrast changes on them. This algorithm has been tested on real airport situations.


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    Titel :

    Improvement of crowd management through an automatic queue length measurement


    Beteiligte:
    Aubert, D. (Autor:in)


    Erscheinungsdatum :

    1999


    Format / Umfang :

    8 Seiten, 6 Bilder, 1 Tabelle, 11 Quellen


    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Print


    Sprache :

    Englisch




    Passengers Queue Length Measurement

    Aubert, D. / IEEE | British Library Conference Proceedings | 1999



    Progression Factor for Queue Length and Other Queue-Related Statistics

    Akçelik, Rahmi | Transportation Research Record | 1996


    Progression Factor for Queue Length and Other Queue-Related Statistics

    Akcelik, R. / National Research Council; Transportation Research Board | British Library Conference Proceedings | 1996


    Progression Factor for Queue Length and Other Queue-Related Statistics

    Akçelik, Rahmi | Transportation Research Record | 2019