运动目标检测中的光流扰动效应  

Optical Flow Disturbance Effect in Moving Object Detection

作　　者：王恩达[1] 王恩旺[2] WANG En-Da WANG En-Wang(Information Science and Technology Academy, Chuxiong Normal University, Chuxiong 675000, China The Center for Space and Debris Observation, Chinese Academy of Sciences, Nanjing 210008, China)

机构地区：[1]楚雄师范学院信息科学与技术学院,楚雄675000 [2]中国科学院空间目标与碎片观测研究中心,南京210008

出　　处：《计算机系统应用》2017年第3期1-7,共7页Computer Systems & Applications

基　　金：中国科学院国防科技创新基金(CXJJ-14-S106)

摘　　要：在一些运动目标检测过程中,需要自动判断是否检测到运动目标,虽然在场景中没有出现运动目标,检测结果却错误的判断为检测到了运动目标.为了找到这个错误的根源,通过实验,发现了光流扰动效应,并且设计了光流扰动效应检测算法,清晰地检测出了光流扰动效果.接下来,通过图像二值化方式,消除了光流扰动效应,避免了运动目标误判现象,得到了理想的运动目标检测结果.研究证明在空间中存在光流扰动效应,该效应会对运动目标检测造成干扰,消除光流扰动效应,可提高了运动目标检测与判断的准确度和可靠度.In some moving object detection process, it needs to automaticly judge whether it has detected the moving object, although there is no moving object in the current scene, detection result wrongly judges that it have detected the moving object. In order to find the source of the error, optical flow disturbance effect is found through experiment. The optical flow disturbance effect detection algorithm is designed, and the effect of optical flow perturbation is clearly detected. Next, through the binarization method of image it eliminates optical flow disturbance effect. The ideal results of the moving object detection are obtained. This research proves that the optical flow perturbation effect exists in the space, which can cause interference to the detection of moving object. It also can eliminate the effect of optical flow disturbance and improve the accuracy and reliability of moving object detection and judgment.

关 键 词：光流扰动 运动检测 帧差法 二值化 运动目标判断 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]