The invention relates to a method for detecting the congestion condition of roads. The method comprises the following steps: (1) processing an obtained video image of a current road to obtain a background and a foreground of the current road, and specifically, modeling for each pixel of a current frame by adopting a Gaussian mixture model; sorting vehicles and road surfaces; calculating communicating regions of the foreground, judging whether the size of each communication region is less than a preset value or not, if so, classifying the corresponding pixels into the background; for single pixel, judging whether the single pixel undergoes lighting changes or foreground changes according to change extraction features of pixels in an adjacent region; judging whether the foreground is in a non-vehicle appearing region or not, if so, enabling the corresponding pixels to be included in the background; re-training the Gaussian mixture model by adopting the pixels judged to be included in the background, and updating a classifier; (2) calculating the road occupancy and vehicle average speed on the current road according to the obtained foreground pixels. Compared with the prior art, the method for detecting congestion condition of roads has the advantages of high speed, strong robustness and the like.


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    Title :

    Method for detecting congestion condition of roads


    Contributors:
    ZHU LONG (author) / CHEN YUANHAO (author)

    Publication date :

    2015-06-03


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    English


    Classification :

    IPC:    G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS / G06K Erkennen von Daten , RECOGNITION OF DATA / G06T Bilddatenverarbeitung oder Bilddatenerzeugung allgemein , IMAGE DATA PROCESSING OR GENERATION, IN GENERAL



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    Compare: Hampton Roads Congestion Management Program

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