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基于人机交互的全景智能化视频目标自动监测方法 被引量:1

Panoramic Intelligent Video Target Automatic Mnitoring Method Based on Human-Computer Interaction
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摘要 全景智能化视频中存在多种近似的目标干扰项,在动态活动条件下容易丢失监测目标,影响监测方法对设定目标的抓取效果,针对这一问题以人机交互为基础,设计全新的全景智能化视频目标自动监测方法。该方法以投影变换矩阵为前提,标定与配准摄像机安装节点;利用示性函数判断图像是否为背景图像,根据方向梯度公式排除近似目标干扰项;基于人机交互设置目标模板区域,通过均值偏移过程检测方法追踪监测目标所在位置,自动恢复丢失目标,实现对全景智能化视频目标的自动监测。实验结果表明,对照其他3组自动监测方法,基于人机交互的自动监测,从第1帧图像开始匹配目标,抓取率一直维持在0.9以上,监测效果远优于对照的3组方法。 There are many similar target interference items in panoramic intelligent video. It is easy to lose the monitoring target under the condition of dynamic activity,which affects the grasping effect of the monitoring method on the set target. Aiming at this problem,a new panoramic intelligent video target automatic monitoring method is designed based on human-computer interaction. Based on the projection transformation matrix,the camera installation nodes are calibrated and registered. The indication function is used to judge whether the image is a background image,and the approximate target interference term is eliminated according to the directional gradient formula. Set the target template area based on human-computer interaction,track the location of the monitoring target through the mean shift process detection method,automatically recover the lost target,and realize the automatic monitoring of panoramic intelligent video target. The experimental results show that compared with the other three groups of automatic monitoring methods,the automatic monitoring based on human-computer interaction matches the target from the first frame image,the capture rate has been maintained above 0.9,and the monitoring effect is much better than the three groups of methods.
作者 王锦 WANG Jin(Suqian Technician College,Suqian,223800 Jiangsu,China)
出处 《流体测量与控制》 2021年第6期47-51,共5页 Fluid Measurement & Control
关键词 人机交互 全景视频 摄像机标定 干扰目标 背景判别 自动监测 human computer interaction panoramic video camera calibration jamming target background discrimination automatic monitoring
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