作　　者： ;

机构地区： 广州大学华软软件学院

出　　处： 《现代计算机（中旬刊）》 2018年第6期80-84,共5页

摘　　要： 针对监控图像能直观表达视觉图像信息、图像目标变化的特点,设计基于树莓派管理及Open CV处理的智能监控机器人系统,设计并搭建系统的框架及相关模块,引入多图像特征融合的粒子滤波跟踪算法,在图像目标轮廓获取的基础上融合灰度像素特征进行粒子滤波的改进跟踪。实验分别对物体和人像跟踪进行测试,结果表明,所设计的监控机器人系统能够更好地应用于人像的跟踪,系统执行的准确率和高效性方面都有较好的性能。 In view of the characteristics that monitoring images can express visual image information and image targets directly,designs an intelligent monitoring robot system based on raspberry Pi(RPI)management and OpenCV processing,designs and builds the framework and related modules of the system,and introduces a particle filter tracking algorithm with multi image feature fusion.On the basis of image object contour acquisition,the gray pixel feature is fused with particle filter to improve tracking algorithm.Experiments are carried out to test objects and human images'tracking.The results show that the monitoring robot system can be applied to the tracking of human figures better,and the accuracy and efficiency of the system perform well.

关 键 词： 监控跟踪 智能机器人 树莓派 粒子滤波

领　　域： []