摘要
针对目前采用的方法对三维人体运动图像进行检测时,无法准确获取图像中的目标区域,导致算法存在检测完整度低、检测准确率低、误检率高和检测效率低的问题,提出基于自适应投影的三维人体运动图像智能检测算法。首先构建背景粗提取模型,利用该模型提取三维人体运动图像的背景区域,获取图像的人体运动目标区域;其次采用自适应投影方法提取目标区域的特征,在支持向量机的基础上构建最优分类函数,将目标区域特征输入到最优分类函数中,完成三维人体运动图像的智能检测。实验结果表明,所提算法的检测完整度高、检测准确率高、误检率低、检测效率高。
When the current method is used to detect the three-dimensional human motion image,it can not accurately obtain the target area in the image,resulting in the problems of low detection integrity,low detection accuracy,high false detection rate and low detection efficiency.Therefore,an intelligent detection algorithm of 3D human motion image based on adaptive projection is proposed.Firstly,the background rough extraction model is constructed,and the background region of 3D human motion image is extracted by using the model to obtain the human motion target region of the image.Secondly,the features of the target region are extracted by adaptive projection method,and the optimal classification function is constructed on the basis of support vector machine.The target region feature is input into the optimal classification function to complete the intelligent detection of three-dimensional human motion image.Experimental results show that the proposed algorithm has high detection integrity,high detection accuracy,low false detection rate and high detection efficiency.
作者
宋红毅
SONG Hongyi(Physical Education Institute,Yulin University,Yulin 719000,China)
出处
《吉林大学学报（信息科学版）》
CAS
2023年第1期151-157,共7页
Journal of Jilin University（Information Science Edition）
基金
榆林市社会科学联合会专项基金资助项目(YLSKGH2020-36)。
关键词
自适应投影
三维人体运动图像
背景粗提取模型
支持向量机
图像检测
adaptive projection
three-dimensional human motion image
rough background extraction model
support vector machine
image detection
作者简介
宋红毅(1973-),男,陕西绥德人,榆林学院副教授,主要从事体育教学训练、群众体育研究,(Tel)86-13772908625(E-mail)song-h-y@163.com。
