基于渐进式卡尔曼滤波器的人体目标跟踪方法分析
Analysis of Human Target Tracking Method Based on Progressive Kalman Filter
陈锡锻 1陈芝腾2
作者信息
- 1. 浙江工贸职业技术学院,浙江 325000
- 2. 温州科技职业学院,浙江 325000
- 折叠
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.
Abstract
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.
关键词
图像识别/人体目标/跟踪/渐进式/卡尔曼滤波/鲁棒性Key words
image recognition/human targets/tracking/progressive/Kalman filter/robustness引用本文复制引用
基金项目
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)
出版年
2024
NETL
NSTL
维普
万方数据