The invention discloses a multi-feature-fusion-based traffic video data collection processing method. The method comprises the following steps: (1), carrying out virtual region division on a traffic video image; (2), calculating a foreground pixel ratio of a virtual region, determining a standard difference SDe of edge strength, and determining a vehicle detection direction angle VD; (3), calculating a vehicle existence confidence grade number according to the obtained foreground pixel ratio, the standard difference SDe of edge strength, and the vehicle detection direction angle VD based on the image processing at the step (2); and (4), carrying out CL data statistics to determine the number of monitored vehicles. According to the technical scheme, the method has the following advantages: (1), a vehicle is detected by using features like the foreground area, texture change, and pixel motion in a virtual coil comprehensively and the vehicle detection algorithm is free from the influences of the adverse weather and illumination based on effective fusion of three kinds of features; and (2), the vehicle speed is estimated according to the pixel motion vector in the single virtual coil, thereby solving an inherent vehicle wrong matching problem of the dual-coil speed measurement method.


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    Title :

    Multi-feature-fusion-based traffic video data collection processing method


    Contributors:

    Publication date :

    2015-09-30


    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



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