Traffic data can be obtained using video cameras. The data can be used, e.g., to optimise traffic flow by controlling traffic lights dynamically. In order to minimise the number of cameras it is useful to reidentify vehicles leaving one monitored region and afterwards entering the viewing field of a further camera. From reidentified vehicles travel times can be obtained which are relevant parameters to optimise traffic control. A method to reidentify vehicles based on extraction of 3D prototype vehicle models and on colour extraction from the top plane of vehicles is presented. Shadows and light reflections on wet street are corrected, and therefore, the high recognition accuracy is achieved which is necessary to find the top plane of the vehicles. The algorithms are suitable for real-time applications.


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    Titel :

    Fast recognition and reidentification of vehicles from video data for different viewing directions


    Weitere Titelangaben:

    Schnelle Erkennung und Identifikation von Fahrzeugen aus Videodaten mit verschiedenen Blickrichtungen


    Beteiligte:
    Woesler, R. (Autor:in) / Berres, A. (Autor:in) / Schlicker, M. (Autor:in) / Ernst, I. (Autor:in)


    Erscheinungsdatum :

    2003


    Format / Umfang :

    9 Seiten, 1 Bild, 1 Tabelle, 18 Quellen




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Print


    Sprache :

    Englisch




    Real-time Recognition and Reidentification of Vehicles from Video Data with high Reidentification Rate

    Woesler, Richard | Deutsches Zentrum für Luft- und Raumfahrt (DLR) | 2004

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    Fast Extraction of Traffic Parameters and Reidentification of Vehicles From Video Data

    Woesler, R. / IEEE | British Library Conference Proceedings | 2003


    Incident Delay Modeling with Use of Video Reidentification

    National Research Council (U.S.) | British Library Conference Proceedings | 2005