基于红外光栅技术的高压场地作业区域人员入侵检测方法

Method for intrusion detection of personnel in high voltage field operation areas based on infrared grating technology

为了提高作业区域人员入侵检测的准确度,提出了一种基于红外光栅技术的高压场地作业区域人员入侵检测方法。该方法利用红外光栅技术采集人员图像视觉信息,并通过对结构化相似度特征进行分析,结合监督对比学习和主干特征提取方法,实现特征分割和重构处理。同时,通过模糊度分析获得人员的边缘包围轮廓特征,实现对人员入侵行为的识别。经过实验验证,结果表明该方法在入侵人员检测方面具有高准确性,误报率(FPR)、漏报率(FNR)和虚警率(FAR)的平均值分别为2.69‰、3.13‰和3.21‰,检测速率平均为16.25帧/s。

In order to improve the accuracy of personnel intrusion detection in the work area,this paper proposes a method for personnel intrusion detection in high-voltage field work areas based on infrared grating technology.This method utilizes infrared grating technology to collect visual information of personnel images,and analyzes structured similarity features,combined with supervised comparative learning and backbone feature extraction methods,to achieve feature segmentation and reconstruction processing.At the same time,the edge bounding contour features of personnel are obtained through ambiguity analysis to achieve recognition of personnel intrusion behavior.After experimental verification,the results show that this method has high accuracy in intrusion detection,with an average false alarm rate(FPR),false alarm rate(FNR),and false alarm rate(FAR)of 2.69‰,3.13‰,and 3.21‰,respectively,and a detection rate of 16.25 frames/s.