监控图像中的人体识别  

Human body recognition method in monitoring image

作　　者：刘宇刚 邢进生[1] LIU Yugang;XING Jinsheng(College of Mathematics and Computer Science,Shanxi Normal University,Linfen 041000,China)

机构地区：[1]山西师范大学数学与计算机科学学院,山西临汾041000

出　　处：《河南工程学院学报（自然科学版）》2018年第1期71-74,共4页Journal of Henan University of Engineering：Natural Science Edition

摘　　要：在变电站的安防范围中有不少无人危险区域,采取视频监控的方式发现闯入危险区域的人并做出预警与警告是主要的监控安防手段.监控图像对人体的识别是一种动态模式识别,采用模糊聚类的方法将视频图像中的静态图像元素过滤,针对动态的像素区域采用对图像识别鲁棒性好的卷积神经网络来识别人体形态,能够快速地对形态多变的人体进行有效识别.In the security range of the substation,there are many uninhabited areas.In those area the video monitoring method is used to find the person who entered the danger zone and make warning.Monitoring image recognition of the human body is a kind of dynamic pattern recognition.This article adopts the method of fuzzy clustering to filter the static image elements in the video image.In view of the dynamic pixel area of image recognition,the better robustness convolutional neural network is used to identify the human form,which can quickly form variables to effectively recognize the human body.Keywords:dynamic body recognition;CNN;FCM

关 键 词：动态人体识别 卷积神经网络 模糊聚类 

分 类 号：TP312[自动化与计算机技术—计算机软件与理论]