视频图像目标检测技术在库区巡检中的应用

The Application of Video Image Target Detection Technology in the Inspection of the Reservoir Area

目前,尽管采用无人机巡检,航电枢纽库区非法捕捞现象依然严重。库区管理人员无法对非法捕捞人员取证。为了解决这一问题,本文提出将视频图像目标检测技术应用到无人机库区巡检中,对无人机采集的图像进行处理,获得证据。首先,估计初始化背景图像;其次,采用色度相似性估计的方法将图像背景与前景运动目标更清晰分割;最后,为了抑制背景噪声,采用双阈值法判别前景和背景,从而提取运动目标,锁定证据。通过在两个无人机库区巡检采集的视频中试验,该算法能够实现目标分割。目标检测技术可以很好地应用在无人机库区巡检中,配合管理人员取证。

At present,despite the use of unmanned aerial vehicle inspection,navigation and hydropower reservoir area illegal fishing phenomenon is still serious.The manager of the reservoir area was unable to obtain evidence of illegal fishing personnel.In order to solve this problem,the video image target detection technology is applied to the UAV reservoir area inspection,and the images collected from UAV are processed to get evidence.First,estimate to initialize the background image;secondly,using the colorimetric method of the similarity estimation of target image background and foreground segmentation more clearly;finally,in order to suppress the background noise,distinguishing foreground and background by using the dual threshold method to extract the moving target locking evidence.The algorithm can achieve target segmentation by testing the video captured in two unmanned aerial vehicles(UAV)area.The target detection technology can be well applied to the inspection of the UAV reservoir area,and can be used with the managers to obtain evidence.