The invention provides a traffic anomaly detection method and device, relates to the field of artificial intelligence, in particular to a computer vision and deep learning technology, and can be applied to a video analysis scene. The specific implementation scheme includes: acquiring at least two frames of continuous traffic images; and respectively identifying the position of the target vehicle from at least two frames of continuous traffic images to obtain a position information set. and determining the advancing direction and speed of the target vehicle according to the position information set. and comparing the advancing direction and speed of the target vehicle with a pre-generated vehicle vector field, and determining whether the target vehicle is abnormal or not. According to the embodiment, the speed and accuracy of traffic anomaly detection can be improved.

    本公开提供了交通异常检测的方法和装置,涉及人工智能领域,具体涉及计算机视觉和深度学习技术,可应用于视频分析场景下。具体实现方案为:获取至少两帧连续的交通图像。从至少两帧连续的交通图像中分别识别出目标车辆的位置,得到位置信息集合。根据位置信息集合确定出目标车辆的行进方向和速度。将目标车辆的行进方向和速度与预先生成的车辆矢量场进行比较,确定目标车辆是否异常。该实施方式能够提高交通异常检测的速度和准确率。


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    Title :

    Traffic anomaly detection method and device


    Additional title:

    交通异常检测的方法和装置


    Contributors:
    WU WENHAO (author) / ZHAO YUXIANG (author)

    Publication date :

    2021-07-20


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    Chinese


    Classification :

    IPC:    G06K Erkennen von Daten , RECOGNITION OF DATA / G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS




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