Using video cameras regions of cities can be monitored in order to extract traffic data. Stationary cameras fixed at high buildings can be used which provide data 24 hours a day. The data can be used, e.g., to optimize traffic flow by controlling traffic lights dynamically. In order to minimize 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 optimize traffic control. In the present text, a method to reidentify vehicles based on extraction of 3-d-prototype vehicle models and color extraction from the top plane of vehicles is described. 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. Due to the 3-d-model based analysis the cameras can be placed in a broad region of viewing angles. The algorithms are suitable for real-time applications. First results from video data of two cameras are presented which show a high reidentification rate with no false reidentification hypothesis.


    Access

    Download


    Export, share and cite



    Title :

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


    Contributors:

    Conference:

    2004 ; Orlando (USA)



    Publication date :

    2004


    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English




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

    Woesler, R. / Berres, A. / Schlicker, M. et al. | Tema Archive | 2003



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

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


    Vehicle Reidentification using multidetector fusion

    Sun, C.C. / Arr, G.S. / Ramachandran, R.P. et al. | IEEE | 2004


    METHOD AND APPARATUS FOR REIDENTIFICATION

    NAM SEUNG WOO / BAEK JANG WOON / LEE JOON GOO et al. | European Patent Office | 2022

    Free access