The present disclosure provides a method and apparatus for detecting a traffic anomaly, a device, a storage medium and a computer program product, relates to the field of artificial intelligence, and specifically to computer vision and deep learning technologies, and can be applied to intelligent transportation scenarios. A specific implementation of the method comprises: acquiring a traffic video stream; performing vehicle detection tracking on the traffic video stream to determine whether there is an abnormally stopped vehicle, wherein a stop with a time length exceeding a preset time length belongs to an abnormal stop; and performing a traffic anomaly classification on a video frame corresponding to the abnormal stop using a decision tree to obtain a traffic anomaly type, if there is the abnormally stopped vehicle, wherein the decision tree is generated based on features for a traffic anomaly detection. This implementation improves the robustness of the traffic anomaly detection.


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    Title :

    TRAFFIC ANOMALY DETECTION METHOD AND APPARATUS, DEVICE, STORAGE MEDIUM, AND PROGRAM PRODUCT


    Additional title:

    VERFAHREN UND VORRICHTUNG ZUR ERKENNUNG VON VERKEHRSANOMALIEN, VORRICHTUNG, SPEICHERMEDIUM UND PROGRAMMPRODUKT
    PROCÉDÉ ET APPAREIL DE DÉTECTION D'ANOMALIE DE TRAFIC, DISPOSITIF, SUPPORT DE STOCKAGE ET PRODUIT DE PROGRAMME


    Contributors:
    LI YINGYING (author) / TAN XIAO (author) / SUN HAO (author)

    Publication date :

    2023-12-27


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    English


    Classification :

    IPC:    G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen / G06V / G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS



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