The invention relates to a rail transit anomaly analysis system false alarm elimination method and device and a medium, and the method comprises the steps: carrying out the foreground detection of an image in a delimited detection region, and obtaining a moving target in the image; performing image illumination algorithm detection and linear programming algorithm detection on the moving target to determine whether the moving target is an interferent; and detecting and determining whether the moving target from which the interferent is removed is an invading foreign matter or not through a target detection algorithm, and if so, giving an alarm. By analyzing the real-time video stream along the railway, the all-weather multi-category interferent detection method along the railway is based on image illumination and linear programming and is combined with deep learning target detection, a disaster detection system can be effectively assisted to accurately detect abnormal conditions, and real railway invading foreign matters can be identified.
本发明涉及一种轨道交通异常分析系统误告警消除方法、装置及介质,包括:在划定的检测区域内,将图像经过前景检测,获取图像中存在的运动目标;将运动目标进行图像照度算法检测及线性规划算法检测,确认运动目标是否为干扰物;将去除干扰物后的运动目标通过目标检测算法检测确定是否为入侵异物,如确定为入侵异物则进行告警。本发明通过对铁路沿线实时视频流的分析,基于图像照度和线性规划并结合深度学习目标检测的铁路沿线全天候多类别干扰物检测方法,能够有效辅助灾害检测系统进行准确的异常情况检测,识别真正的铁路入侵异物。
Rail transit anomaly analysis system false alarm elimination method and device and medium
轨道交通异常分析系统误告警消除方法、装置及介质
2024-01-26
Patent
Electronic Resource
Chinese
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