文件名称:Video-Surveillance
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文章通过设计战场电视侦察系统的智能视频处理模块,提高了战场电视侦察系统的工作效率和智能化水平。首先
分析对重要军事目标进行监控的特点,归纳运动目标的特征,根据特征建立正常模型;然后运用中值滤波对监控视频进行
预处理,再采用基于高斯混合模型的背景减除法提取运动目标,通过特征提取确定运动目标的属性,与正常模型进行匹配
处理后,得出运动目标是否异常;最后达成敌重要目标有异常出现时自动告警的目的-Abstract:This article designs the intelligent video processing module of battlefield investigation TV system, and raises the
efficiency and the intelligent level of it. At first, we analyze the traits of the important military target, summarize the
characteristic of the moving objects, and build the normal model according to the characteristic after the median filtering
pretreatment of the surveillance video, we need to minus the extracted moving object using the background based on the
Gaussian mixture model, define the attributes of the moving object based on feature extraction, and conclude whether it is
abnormal after matching with the normal model at last, achieve the aim of automatic alarming when the important enemy
target abnormality appears.
分析对重要军事目标进行监控的特点,归纳运动目标的特征,根据特征建立正常模型;然后运用中值滤波对监控视频进行
预处理,再采用基于高斯混合模型的背景减除法提取运动目标,通过特征提取确定运动目标的属性,与正常模型进行匹配
处理后,得出运动目标是否异常;最后达成敌重要目标有异常出现时自动告警的目的-Abstract:This article designs the intelligent video processing module of battlefield investigation TV system, and raises the
efficiency and the intelligent level of it. At first, we analyze the traits of the important military target, summarize the
characteristic of the moving objects, and build the normal model according to the characteristic after the median filtering
pretreatment of the surveillance video, we need to minus the extracted moving object using the background based on the
Gaussian mixture model, define the attributes of the moving object based on feature extraction, and conclude whether it is
abnormal after matching with the normal model at last, achieve the aim of automatic alarming when the important enemy
target abnormality appears.
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Video Surveillance.pdf