The analysis of velocities from high-density pedestrian events may provide more information on pedestrian flow dynamics. A framework based on particle image velocimetry (PIV)—a technique commonly used in experimental fluid dynamics—has been developed to evaluate the pedestrian velocities from high-density pedestrian events. The framework takes a sequence of two or more images from a regular closed-circuit television camera and obtains the flow properties (speed, direction) of the pedestrians. A detailed analysis has been done in both the qualitative and quantitative aspects of adapting PIV to pedestrian flow. An investigation through the use of the fundamental diagram and real-time extraction of crowd velocities is also presented and discussed. The proposed PIV-based framework enables on-the-spot analysis of pedestrian flow via velocity extraction in a reliable, automated manner.


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    Titel :

    PedPIV: Pedestrian Velocity Extraction From Particle Image Velocimetry


    Beteiligte:
    Baqui, Muhammad (Autor:in) / Lohner, Rainald (Autor:in)


    Erscheinungsdatum :

    01.02.2020


    Format / Umfang :

    4845103 byte




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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