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基于STM32 的人体目标检测与追踪系统
引用本文:宋金波,段志伟.基于STM32 的人体目标检测与追踪系统[J].吉林大学学报(信息科学版),2008,38(4):433-438.
作者姓名:宋金波  段志伟
作者单位:东北石油大学电气信息工程学院,黑龙江大庆163318
基金项目:黑龙江省自然科学重点基金资助项目( ZD2019F001) ; 东北石油大学青年科学基金资助项目( 2018QNL-30)
摘    要:为有效解决现有人体目标识别与追踪需人为干预等问题,设计了一种由嵌入式系统、无线通信技术及上 位机组成的人体自动检测及追踪系统。该自动检测与追踪系统分为上位机和下位机两部分,其中下位机以 STM32F103RCT6 单片机为控制核心,通过SHARP-GP2Y0A21YK0F 红外测距传感器检测人体位置进而控制舵 机,舵机上装有摄像头采集视频,利用WIFI( Wireless Fidelity) 将摄像头采集的视频信号传输至上位机。上位机 由Eclipse-Android 系统开发平台开发,可在监控中心实时显示视频信号。实践证明,该系统安装、操作简易快 捷,能准确实现人体的自动化识别与追踪过程,可广泛应用于室内不干扰红外线工作的行业。

关 键 词:人体检测  嵌入式技术  无线通信  
收稿时间:2020-01-09

Human Target Detection and Tracking System Based on STM32
SONG Jinbo,DUAN Zhiwei.Human Target Detection and Tracking System Based on STM32[J].Journal of Jilin University:Information Sci Ed,2008,38(4):433-438.
Authors:SONG Jinbo  DUAN Zhiwei
Institution:School of Electrical Engineering and Information,Northeast Petroleum University,Daqing 163318,China
Abstract:In order to solve the human intervention problem of existing human target recognition and tracking system,an automatic human detection and tracking system is designed,which is composed of embedded system, wireless communication technology and upper computer. The automatic detection and tracking system is divided into two parts: the upper computer and the lower computer. Using STM32F103RCT6 as the control unit,the lower computer detects the position of the human body through the SHRAP-GP2Y0A21YK0F infrared ranging sensor,and then controls the steering gear. The steering gear is equipped with a camera to collect the video signal which is transmitted to the upper computer using WIFI( Wireless Fidelity) wireless technology. The upper computer is developed by Eclipse-Android system development platform,which can display the video signal in real time in the monitoring center. It has been proved that the system is easy to install and operate,can accurately realize the automatic recognition and tracking process of human body,and can be widely used in the industry of indoor non-interference infrared work.
Keywords:human detection  embedded technology  wireless communication  
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