基于CamShift跟踪算法的塔吊监控系统设计  

Design of a Tower Crane Surveillance System Based on Camshift Tracking Algorithm

作　　者：王旭[1] 张自嘉[1] 王慧敏[1] 

机构地区：[1]南京信息工程大学信息与控制学院,南京210044

出　　处：《电子器件》2013年第6期859-863,共5页Chinese Journal of Electron Devices

基　　金：国家自然科学基金项目(61172029)

摘　　要：为了解决塔吊驾驶员因视觉盲区而造成的各种安全事故问题,提出了一种针对塔吊驾驶员使用的无线视频监控系统。系统的采集和接收终端采用S3C6410微处理器芯片,移植OpenCV视觉库到系统终端,调用CamShift算法实现对吊钩的实时跟踪。结合终端的WIFI模块将网关节点嵌入服务器从而连接到无线AP,驾驶员通过便携式接收终端访问无线AP获得实时跟踪图像。测试结果表明:视频传输系统稳定可靠,实时跟踪准确,满足驾驶员实时监控需求。For purpose of solving the problem about a variety of security incidents which caused by the tower crane driver＇s visual blind spot, a wireless video monitoring system for the tower crane driver was proposed. The $3C6410 microprocessor chip was used for acquisition and receiving terminal of the system. OpenCV vision library was transplanted into the system terminal, and CamShift algorithm which can realize the real-time tracking of the hook was invoked. The WIFI module of the terminal was used to connect the gateway node server to wireless AP. In this way, the driver can acquire the real-time tracking image by means of the portable receiving terminal by which the wireless AP is easy of access. The test consequence shows that the video transmission system is stable and reliable, real-time tracking accurately and it can meet the requirements for real-time monitoring of the driver.

关 键 词：嵌入式 视频传输 OPENCV CAMSHIFT算法 WIFI 

分 类 号：TP368.2[自动化与计算机技术—计算机系统结构]