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particle-filter-visual-tracking
- 该代码用于实现粒子滤波视觉目标跟踪(PF)、卡尔曼粒子滤波视觉目标跟踪(KPF)、无迹粒子滤波视觉目标跟踪(UPF)。它们是本人这两年来编写的核心代码，用于实现鲁棒的视觉目标跟踪，其鲁棒性远远超越MeanShift(均值转移)和Camshift之类。用于实现视觉目标跟踪的KPF和UPF都是本人花费精力完成，大家在网上是找不到相关代码的。这些代码虽然只做了部分代码优化，但其优化版本已经成功应用于我们研究组研发的主动视觉目标跟踪打击平台中。
self_UKF
- UKF,无迹/无味/采样卡尔曼滤波，组合导航技术，适合初级的学习。-UKF,integrated kalman filter
EKF_UKF_PF
- 这个事扩展卡尔曼滤波与无迹滤波的结合的一个matlab算法，初期学习机器人的可以参考-This thing extended Kalman filter and unscented filter combines a matlab algorithm, the robot can refer to the early learning
FitzHughNagumo
- 采用无迹卡尔曼滤波器(unscented kalman filter, UKF)对FitzHugh-Nagumo动力学系统进行状态估计滤波-unscented kalman filter(UKF) is applied to state estimation(target tracking).
kalman-filter
- 卡尔曼滤波器的实现，包括通用子程序，扩展卡尔曼滤波算法和无迹滤波算法-Kalman filter implementation, including common subroutines, extended Kalman filter algorithm and unscented filtering algorithm
UKEF_SOC
- UKEF无迹扩展卡尔曼滤波方法估计动力电缆SOC的模型，在MATLAB/SIMULINK环境下运行-UKEF unscented extended Kalman filter method to estimate power cable SOC model, run under MATLAB/SIMULINK environment
ukf
- 该程序用于描述UKF无迹卡尔曼滤波器，其中systemfun为系统函数，measurefun为测量函数。用于非线性系统的滤波有较好的效果。(The program is used to describe the UKF unscented Calman filter, in which systemfun is the system function, and measurefun is the measurement function
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- 粒子滤波PF，无迹粒子滤波UPF，卡尔曼滤波KF，扩展卡尔曼滤波EKF等例程与比较。建议下载，清晰明了(Particle filter PF, Untraced particle filter UPF, Kalman filter KF, extended Kalman filter EKF and other routines and comparisons.)