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作 者:周明政[1] 史亚锋 吴道广 吕春雷[2] ZHOU Mingzheng;SHI Yafeng;WU Daoguang;L Chunlei(The 52nd Research Institute of China Electronics Technology Group Corporation,Hangzhou 310000,China;Changchun Institute of Optics,Fine Mechanic and Physics,Chines Academy of Science,Changchun 130033,China)
机构地区:[1]中国电子科技集团公司第五十二研究所,浙江杭州310000 [2]中国科学院长春光学精密机械与物理研究所,吉林长春130033
出 处:《微型电脑应用》2024年第3期140-144,共5页Microcomputer Applications
摘 要:公共监控区域中的运动目标在运动方向和运动速度方面具有一定的随机性,这增加了目标跟踪难度。为了提升运动目标的跟踪性能,设计了公共区域监控视频运动目标跟踪系统。通过设计系统总体框架,确定了系统工作流程;基于建立的总体框架完成了系统各个硬件模块的设计,并着重设计了系统检测跟踪模块,使用Kalman滤波算法预测视频运动目标状态辅助该模块完成目标的精准跟踪;依据系统工作流程完成了系统的软件流程设计;结合系统的硬件、软件设计实现对公共区域的视频运动目标检测跟踪。实验结果表明,设计系统在跟踪公共区域的视频运动目标时,跟踪时间短、跟踪精度高、检测跟踪性能高。The moving target in the public surveillance area has certain randomness in the moving direction and speed,which increases the difficulty of target tracking.In order to improve the tracking performance of moving targets,a video moving target tracking system in the public surveillance area is designed.By designing the overall framework of the system,the workflow of the system is determined.Based on the overall framework,the design of each hardware module of the system is completed,and the system detection and tracking module is emphatically designed.The Kalman filtering algorithm is used to predict the state of video moving targets to assist the module to complete the accurate tracking of targets.The software flow design of the system is completed according to the system workflow.By the hardware and software design of the system,the video moving target detection and tracking in the public area is realized.The experimental results show that the designed system has short tracking time,high tracking accuracy and high detection and tracking performance when tracking video moving targets in public areas.
关 键 词:Kalman滤波算法 运动目标 复杂背景 目标跟踪
分 类 号:TP391[自动化与计算机技术—计算机应用技术]
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