基于Camshift算法的运动目标跟踪系统研究  

Research on Moving Target Tracking System Based on Camshift Algorithm

作　　者：赵海茹 李玉秀 李国瑞 崔建红 李银兵 ZHAO Hailu;LI Yuxiu;LI Guorui;CUI Jianhong;LI Yinbing(School of Physics and Electronic Engineering,Yuxi Normal University,Yuxi 653100,China)

机构地区：[1]玉溪师范学院物理与电子工程学院,云南玉溪653100

出　　处：《玉溪师范学院学报》2023年第6期77-81,共5页Journal of Yuxi Normal University

基　　金：玉溪师范学院大学生创新创业训练项目“变电站环境中的运动目标跟踪系统研究”(项目编号:S202211390014).

摘　　要：在遮挡物较多的变电站场景下,传统的目标跟踪算法容易出现人员跟丢、身份变换、目标被遮挡无法识别等情况,无法做到对目标的准确实时跟踪.使用Camshift算法对变电站环境中的运动目标进行跟踪研究的实验结果表明,Camshift算法能够快速准确地检测出变电站内的运动目标并对其实现有效跟踪,从而提高变电站的自动识别水平,降低监控人员的工作量,有效提高运动目标跟踪检测的效果.In the transformer substation scene with many obstructions,the traditional target tracking algorithm cannot achieve accurate real-time tracking of the target because it is prone to personnel loss,identity change,and failure to identify the target because of the obstructions.The experimental results of using Camshift algorithm to track moving targets in substations show that Camshift algorithm can quickly and accurately detect moving targets in the substation and effectively track them,thus improving the automatic recognition level of substation,reducing the workload of monitoring personnel,and effectively improving the tracking and detection result of moving targets.

关 键 词：变电站 目标跟踪 CAMSHIFT算法 

分 类 号：T391.4[一般工业技术]