The invention discloses a traffic abnormal event detection method based on video stream analysis. The method specifically comprises the following steps: obtaining a monitoring video; detecting a preset detection object in the monitoring video by adopting a deep learning target detection algorithm, and outputting a target object according to a category filtering mechanism; tracking the target object by adopting a target tracking algorithm; fitting a lane area based on the running track of the vehicle to realize target area division; and carrying out traffic abnormal event detection on the lane area according to the monitoring state and a preset rule.

    本发明公开一种基于视频流分析的交通异常事件检测方法,具体包括如下步骤:获取监控视频;采用深度学习目标检测算法,对监控视频内的预设检测对象进行检测,并根据类别过滤机制,输出目标对象;采用目标跟踪算法,对目标对象进行跟踪;基于车辆的运行轨迹,拟合车道区域,实现目标区域划分;根据监控状态及预设规则对车道区域进行交通异常事件检测。


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    Title :

    Traffic abnormal event detection method based on video stream analysis


    Additional title:

    一种基于视频流分析的交通异常事件检测方法


    Contributors:
    HUANG ZILI (author)

    Publication date :

    2025-05-13


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    Chinese


    Classification :

    IPC:    G06V / G06T Bilddatenverarbeitung oder Bilddatenerzeugung allgemein , IMAGE DATA PROCESSING OR GENERATION, IN GENERAL / G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS



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