摘要
阐述一种渐进式卡尔曼滤波器算法,将该算法应用于人体目标跟踪中。仿真结果表明,该方法在长时间的目标跟踪中,能够有效地提高系统的鲁棒性。实验室环境中的测试结果表明,该方法对人体目标的运动趋势和方向能够做出正确的预测估计。
This paper describes an algorithm of progressive Kalman filter which applied to human target tracking.Simulation results show that the method can effectively improve the robustness of the system in the long time target tracking.The experimental results in laboratory environment show that the proposed method can predict the motion trend and direction of human body accurately.
作者
陈锡锻
陈芝腾
CHEN Xiduan;CHEN Zhiteng(Zhejiang Industry&Trade Vocational College,Zhejiang 325000,China;Wenzhou Vocational College of Science and Technology,Zhejiang 325000,China)
出处
《集成电路应用》
2024年第1期33-35,共3页
Application of IC
基金
2021年温州市级科技计划项目(G20210044)
2022年浙江工贸职业技术学院教师科研项目(纵20220005)。
关键词
图像识别
人体目标
跟踪
渐进式
卡尔曼滤波
鲁棒性
image recognition
human targets
tracking
progressive
Kalman filter
robustness
