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.
TRAFFIC ANOMALY DETECTION METHOD AND APPARATUS, DEVICE, STORAGE MEDIUM, AND PROGRAM PRODUCT
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
2023-12-27
Patent
Elektronische Ressource
Englisch
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