基于无线传感器网络的目标自动跟踪研究  

Research on Automatic Target Tracking Based on Wireless Sensor Network

作　　者：简小女 JIAN Xiaonü(Institute of Intelligent Manufacturing,Guangdong Nanfang Institute of Technology,Jiangmen 529040,China)

机构地区：[1]广东南方职业学院智能制造学院,广东江门529040

出　　处：《微型电脑应用》2022年第8期137-139,158,共4页Microcomputer Applications

摘　　要：由于当前目标跟踪算法中目标变化特点反映准确率低,且跟踪的实时性比较差,对此提出并设计了一种基于无线传感器网络的目标自动跟踪方法。首先分析当前目标跟踪的研究进展,找到引起目标跟踪效果差的因素,通过无线传感器网络节点对目标信息进行采集,并构建目标移动的数学模型,然后采用卡尔曼滤波算法根据数学模型对目标的位置进行检测,从而实现目标自动跟踪,最后采用具体实例与其他目标跟踪算法进行了性能对比。结果表明,本文算法较好地解决了当前目标跟踪算法存在的不足,目标跟踪准确性得了大幅度提升,而且可以实现目标实时在线跟踪,具有十分广泛的应用前景。Target tracking is an important direction in the research of computer vision technology.The current target tracking algorithm cannot accurately reflect the target change characteristics.For multi-target and occluded targets,they are easy to lose the target,and the real-time tracking is poor.In order to improve the target tracking effect,an automatic target tracking algorithm for wireless sensor networks is designed.Firstly,the current research progress of target tracking is analyzed,the factors causing poor target tracking effect are found,the target information is collected through wireless sensor network nodes,and the mathematical model of target movement is constructed,and then the Kalman filter algorithm is used to detect the position of the target according to the mathematical model,so as to realize automatic target tracking,Finally,a specific example is used to compare the performance with other target tracking algorithms.The results show that this algorithm solves the shortcomings of the current target tracking algorithm,greatly improves the accuracy of target tracking,and can realize real-time online target tracking,which has a very wide application prospect.

关 键 词：计算机视觉 目标视频 分帧处理 无线传感器 均值漂移算法 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]