三维散乱人体运动点的激光跟踪技术研究  

Research on laser tracking technology for 3D unorganized human motion points

作　　者：安秀芳[1] 

机构地区：[1]徐州工业职业技术学院

出　　处：《激光杂志》2017年第11期152-155,共4页Laser Journal

摘　　要：通过对人体运动点的三维跟踪识别,结合人体的运动特征实现人体运动信息提取和图形重构,分析运动人体的规律性特征,提高运动训练水平,提出一种基于三维散乱点特征融合提取和图像重构的人体运动点激光跟踪技术。根据人体运动特征部位,采用激光三维扫描方法进行人体运动过程建模和图像采集,对采集的人体运动图像进行运动特征点标定和排列,提取人体骨架的三维散乱运动点集并表征为一个高维向量,形成动作向量库,对动作向量库中的运动点进行图像融合处理,实现运动图像重构和运动动作跟踪识别。仿真结果表明,采用该方法进行人体运动三维重构和跟踪识别的实时性和准确性较好,对人体运动点的三维重构和跟踪识别具有较强的自适应能力。Through 3 D tracking and recognition of human movement points,combined with the movement characteristics of the human body to achieve human motion information extraction and image reconstruction,analysis of human motion characteristics,improve the level of sports training,put forward a kind of 3 D scattered point extraction and image fusion based on the characteristics of human motion reconstruction of laser tracking technology based on human motion. The characteristics of parts by laser 3 D scanning method for human motion modeling and image acquisition of human motion image motion feature point calibration and alignment,extraction of 3 D scattered point motion skeleton set represented as a high dimensional vector,the form of the action vector library,the motion vector of the moving point in the library for image fusion implementation of motion processing,image reconstruction and motion tracking and recognition. The simulation results show that using the method of human motion tracking and 3 D reconstruction. The recognition has good real-time and accuracy,and has strong adaptive ability for 3 D reconstruction and tracking recognition of human movement points.

关 键 词：三维 人体 运动 动作 激光跟踪 识别 

分 类 号：TN249[电子电信—物理电子学]