摘要
为了提高人体运动目标点优化定位检测能力,提出基于图像跟踪的人体运动目标点优化定位方法.构建人体运动目标图像的三维表面信息重组模型,采用边缘轮廓检测方法进行人体运动目标点跟踪识别,提取人体运动目标点的灰度特征量;采用多维像素重构方法进行人体运动目标图像的信息融合和运动特征点标定,分析人体运动目标点的差异性特征量;采用自适应图像跟踪识别方法进行人体运动目标点优化定位,结合角点检测方法对人体运动目标点优化定位结果进行自适应学习和寻优控制,实现人体运动目标点优化定位优化.仿真结果表明,人体运动目标点优化定位的图像偏移量最高仅有30mm,减小了误差偏移,提高了人体运动目标点定位的精度.
In order to improve the detection ability of human moving target point optimization,an optimal location method of human moving target point based on image tracking is proposed.The 3 Dsurface information recombination model of human moving target image is constructed,and the edge profile detection method is used to track and recognize the moving target point of human body,and the gray feature quantity of human moving target point is extracted.The multi-dimensional pixel reconstruction method is used to fuse the information of human moving target image and calibrate the moving feature point,and the difference feature quantity of human moving target point is analyzed.The adaptive image tracking and recognition method is used to optimize the location of human moving target points,and the adaptive learning and optimization control of the optimal location results of human moving target points are carried out combined with the corner detection method,so as to realize the optimization of human moving target points.The simulation results show that the maximum image offset of human moving target point is only 30 mm,which reduces the error offset and improves the accuracy of human moving target point location.
作者
陈林
CHEN Lin(Basic Department of Urban Construction College,Anhui University of Architecture,Hefei 230000,China)
出处
《周口师范学院学报》
CAS
2020年第2期125-128,共4页
Journal of Zhoukou Normal University
基金
安徽建筑大学城市建设学院质量工程教学研究重点项目“安徽省高校体育教学改革模型研究”(cj2018jyA014)
关键词
图像跟踪
人体运动目标点
优化定位
检测
image tracking
human motion target point
optimal location
detection
