The invention discloses a highway traffic accident judgment method based on a road monitoring video, and solves the problem that abnormal vehicle detection is inaccurate due to the fact that a target detection and tracking algorithm is easy to be unstable and the number of abnormal vehicle judgment criteria is small in a complex scene of highway congestion. According to the implementation scheme, lane position information is obtained; acquiring position and track information of vehicles and pedestrians; constructing a static vehicle dictionary; vehicle abnormity is judged according to pedestrians around the static vehicle; judging that the vehicle is abnormal according to the fact that the stationary vehicle stays in the emergency lane for a certain time; judging that the vehicle is abnormal according to the fact that the static vehicle is bypassed for more than certain times; vehicle abnormity is judged according to periodic double-flash of the static vehicle; and visually displaying the abnormal vehicle in the video. On the basis of the prior art, lane information is introduced, more abnormal vehicle judgment criteria are integrated, the method has high universality and feasibility, abnormal vehicles can be accurately detected, and the method can be used for highway traffic management.
本发明公开了一种基于道路监控视频的高速路交通事故判定方法,解决了高速路拥挤的复杂场景下,目标检测和追踪算法容易不稳定,异常车辆判定准则较少,导致异常车辆检测不准确的问题。实现方案为:获取车道位置信息;获取车辆、行人的位置和轨迹信息;构建静止车辆字典;根据静止车辆周围出现行人判定车辆异常;根据静止车辆在应急车道静止超过一定时间判定车辆异常;根据静止车辆被绕行超过一定次数判定车辆异常;根据静止车辆出现周期性双闪判定车辆异常;在视频中可视化显示异常车辆。本发明在现有技术的基础上,引入了车道信息,融汇了更多的异常车辆判定准则,具有高普适性和可实施性,能准确检测出异常车辆,可用于高速路交通管理。
Highway traffic accident judgment method based on road monitoring video
基于道路监控视频的高速路交通事故判定方法
2024-02-20
Patent
Elektronische Ressource
Chinesisch
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