The invention discloses a traffic incident monitoring method and system, and relates to the technical field of visual identification and artificial intelligence. In order to solve the technical problems that in the prior art, an existing traffic incident monitoring algorithm is complex in sample labeling and cannot be trained, optimized and improved online, the technical scheme provided by the invention is as follows: a model training method comprises the following steps: collecting a video stream to be analyzed; marking a video frame where the abnormal event is located in the video stream to be analyzed in real time; sending abnormal event alarm information; collecting alarm information feedback data; and performing optimization training on the monitoring model according to the alarm information feedback data in combination with the corresponding abnormal event alarm information. The system comprises a system configuration management module used for configuring video streams and abnormal events; the video access module is used for acquiring a video stream; the event monitoring and analyzing module is used for analyzing abnormal events; and the alarm management module is used for sending abnormal event alarm information and responding to feedback data. The method can be used in online evolutionary traffic event monitoring work.
交通事件监测方法及系统,涉及视觉识别和人工智能技术领域。为解决现有技术中存在的,现有的交通事件监测算法样本标注复杂、无法在线训练和优化提升的技术问题,本发明提供的技术方案为:模型训练方法,包括:采集待分析的视频流;实时标记待分析的视频流中,异常事件所在视频帧;发送异常事件告警信息;采集告警信息反馈数据;根据告警信息反馈数据,结合对应的异常事件告警信息,对监测模型进行优化训练。系统包括用于配置视频流和异常事件的系统配置管理模块;用于采集视频流的视频接入模块;用于分析异常事件的事件监测分析模块;用于发送异常事件告警信息,并响应反馈数据的告警管理模块。可以用于在线进化的交通事件监测的工作中。
Traffic incident monitoring method and system
交通事件监测方法及系统
2024-10-29
Patent
Electronic Resource
Chinese
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