The invention discloses a traffic anomaly detection method and system based on bimodality and a storage medium. The method comprises steps of firstly, obtaining traffic video stream data which comprises time data and picture frames; then, static vehicles in picture frames of the traffic video stream data being detected and recognized; secondly, dynamic vehicles in the traffic video stream data being detected, the dynamic vehicles being tracked and identified, and abnormal track vehicles being marked; and finally, comparing characteristics of the static vehicle and the abnormal track vehicle from the aspects of brightness, contrast and structure, calculating to obtain the similarity between the static vehicle and the abnormal track vehicle, and obtaining a confidence coefficient of the abnormal event and the occurrence time of the event according to the similarity and time data. According to the traffic anomaly detection method based on the bimodal, various road traffic anomaly events in a real scene can be learned and detected from static and dynamic vehicle motion modes, and occurrence of traffic anomaly can be effectively detected.
本发明公开了一种基于双模态的交通异常检测方法、系统和存储介质,包括步骤:首先,获取交通视频流数据,视频流数据包括时间数据和图片帧;然后,检测并识别交通视频流数据的图片帧中的静态车辆;其次,对交通视频流数据中的动态车辆进行检测,跟踪识别动态车辆并标记异常轨迹车辆;最后,从亮度、对比度和结构方面比对静态车辆和异常轨迹车辆的特征,计算得到静态车辆和异常轨迹车辆的相似度,根据相似度和时间数据获取异常事件的置信度和事件发生时间。本发明提供的基于双模态的交通异常检测方法能够从静态和动态车辆运动模式中学习,检测真实场景中的各种道路交通异常事件,能够有效的检测交通异常的发生。
Traffic anomaly detection method and system based on bimodal, and storage medium
基于双模态的交通异常检测方法、系统和存储介质
2022-02-15
Patent
Electronic Resource
Chinese
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