摘要
传统基于PC的视频监控系统,在识别特殊人群运动动作过程中存在故障、稳定性不佳的问题。因此,设计并实现了一种基于DM642的特殊人群的运动动作智能识别平台,通过TMS320DM642-PCI评估板对人体运动图像进行处理,云台运动调整CCD摄像机水平和垂直方向的视角,通过AT98S52芯片控制云台。塑造的人体动作采集模块由9个AHRS模块和1台计算机组成,通过位于人体躯干、上下臂以及大小腿上的AHRS模块采集人体运动动作信息,并通过Wi Fi模块将动作信息反馈给上位机进行显示。采用云台控制人体动作采集模块完成特殊人群的运动动作智能识别。给出平台对特殊人群运动动作进行识别的算法流程,以及平台通过串口通信模块输出控制信号控制云台的关键代码。实验结果表明,所设计平台可有效识别出特殊人群运动动作,具有较高的识别率和应用性。
Traditional video monitoring system based on PC is easy to occur fault and has poor stability in the process ofidentification of special crowd motion activity. Therefore,a intelligent identification platform based on DM642 for special crowdmotion activity was designed and realized. In the system,TMS320DM642?PCI evaluation board is used to process the humanmovement images,and AT98S52 chip is adopted to control the holder’s movement of the horizontal and vertical direction of theCCD camera viewing angle. The human body movement acquisition module consists of nine AHRS modules and a computer. TheAHRS modules on the human torso,upper and lower arms and leg acquire the human movement information,and feeds backthe information to the PC for display through WIFI module. With the help of special yuntai,human motion acquisition module iscontrolled to achieve the intelligent identification of the special crowd motion activity. The process for the special crowd motionactivity identification algorithm of the platform,and the key code for controlling the platform through a serial port communica?tion module to output control signal are given. Experimental results indicate that the designed platform can effectively identifythe special crowd motion activity,and has high recognition rate and applicability.
作者
李天宇
LI Tianyu(School of Computer Science and Technology,Changchun Institute of Technology,Changchun 130012,China)
出处
《现代电子技术》
北大核心
2016年第18期21-25,共5页
Modern Electronics Technique
基金
国家自然科学基金(61301220)
关键词
特殊人群
运动动作
智能识别
评估板
special group
motion activity
intelligent identification
evaluation board