A new algorithm is presented for estimating speed from roadside cameras in uncongested traffic, congested traffic, favorable weather conditions, and adverse weather conditions. Individual vehicle lanes are identified and horizontal vehicle features are emphasized by using a gradient operator. The features are projected into a one-dimensional subspace and transformed into a linear coordinate system by using a simple camera model. A correlation technique is used to summarize the movement of features through a group of images and estimate mean speed for each lane of vehicles.


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    Titel :

    Correlation Technique for Estimating Traffic Speed from Cameras


    Weitere Titelangaben:

    Transportation Research Record


    Beteiligte:


    Erscheinungsdatum :

    2003-01-01




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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    Schoepflin, Todd N. | Online Contents | 2003


    Correlation Technique for Estimating Traffic Speed from Cameras

    Schoepflin, T. N. / Dailey, D. J. / National Research Council | British Library Conference Proceedings | 2003


    Correlation Technique for Estimating Traffic Speed from Cameras

    Schoepflin, T. N. / Dailey, D. J. / National Research Council | British Library Conference Proceedings | 2003


    Algorithm for Estimating Mean Traffic Speed with Uncalibrated Cameras

    Dailey, Daniel J. / Li, Li | Transportation Research Record | 2000