基于云平台的人体移动速度自动测量方法

Automatic measurement of human moving speed based on cloud platform

为了实现对人体移动速度的优化估计,实现人体运动识别,提出基于云平台的人体移动速度自动测量方法。建立人体移动速度参数解析模型,通过传感融合跟踪识别方法,进行人体移动速度自动测量和大数据分析,结合参数解耦控制方法进行人体移动速度测量过程中的自适应寻优,采用云平台进行人体移动速度测量数据信息融合,提取人体移动速度大数据序列的关联特征量,通过聚类挖掘的方法分析人体移动速度和位移的关系,结合云平台调度和信息多维融合的方法,进行运动目标的速度参数估计,实现人体移动速度自动测量。仿真结果表明,采用该方法进行人体移动速度自动测量的自适应性较好,测量的精度较高,提高了人体移动目的检测和识别能力。

In order to realize the optimal estimation of human motion speed and human motion recognition,an automatic measurement method of human motion speed based on cloud platform is proposed.The analytical model of human motion speed parameters is established.The automatic measurement and big data analysis of human body movement speed are carried out through the sensor fusion tracking identification method.The adaptive optimization in the process of human body movement speed measurement is carried out by combining the parameter decoupling control method.The cloud platform is used for the information fusion of human body movement speed measurement data,and the correlation characteristics of human body movement speed big data series are extracted The relationship between human movement speed and displacement is analyzed by clustering mining method.Combined with cloud platform scheduling and multi-dimensional information fusion method,the velocity parameter of moving target is estimated,and the automatic measurement of human moving speed is realized.The simulation results show that the method has good adaptability and high accuracy,and improves the ability of human moving object detection and recognition.