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卡尔曼滤波器的主要功能就是目标跟踪，程序利用卡尔曼滤波器实现了对机动目标的跟踪-Kalman filter is the main function of target tracking, procedures for the use of a Kalman filter to achieve the right track moving targets
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利用Kalman Filter进行机动目标跟踪的例子，附有详细的说明文档-use for tracking moving targets example, with detailed documentation
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拥有matlab用户界面的卡尔曼滤波程序，matlab-kalman-GUI,有注释，有三个sample供大家学习，可以作为理解设计各种kalman滤波器的开发导航，对学习研究有借鉴价值。还加了一些我最开始上手学习kalman滤波的文档，希望对大家有所帮助。（无密码）-user interface with Matlab Kalman filtering procedures, Matlab-Tracking - GUI, Notes, for all three sample study, c
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卡尔曼滤波器设计MTALAB实现代码,根据matlab中提供的kalman函数进行设计，需要设计出“动态方程”和“观测方程”-Kalman filter design to achieve MATLAB code, under which the Matlab Tracking function for the design, the need to design "dynamic equation" and "observation equation"
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这个个程序是利用卡尔曼滤波实现人体关节点的跟踪问题，运用的是CV模型，噪声为高斯白噪声！有用的拿去看看！,This procedure is to use a Kalman filter to achieve a key point in human tracking problems, the use of the CV model, noise is Gaussian white noise! Take useful to see!
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卡尔曼滤波应用。该源码实现应用kalman滤波进行目标运动轨迹的跟踪。-Kalman filtering applications. The source to achieve the application of kalman filter for target tracking trajectory.
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非常好的粒子滤波程序:扩展卡尔曼模型下的序列追踪-very good particle filter : Extended Kalman model tracing the sequence
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基于机动目标当前统计模型的单目标跟踪，采用卡尔曼滤波实现-Maneuvering target based on current statistical model of the single-target tracking using Kalman filter to achieve
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扩展卡尔曼滤波用于目标跟踪的典型案例，简单易理解-Kalman filter for target tracking in typical cases
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卡尔曼滤波器运用于目标跟踪，据此编写的对于非机动模型的仿真-Kalman filter used in target tracking, has been prepared accordingly for non-motorized model simulation
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目标跟踪算法，运用交互多模型算法的卡尔曼滤波器。有文档，有程序，适用于初学者-Target tracking algorithm, using interactive multiple model Kalman filter algorithm
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程序是一维情况下目标跟踪的粒子滤波
，并将扩展卡尔曼滤波与粒子滤波进行比较。-Program is a one-dimensional case of the target tracking particle filter
, and the extended Kalman filter and particle filter are compared.
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Extended Kalman filter for tracking frequency of sinusoid in noise
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扩展kalman滤波在目标跟踪中的应用。给出了一种基于距离的目标跟踪算法Matlab源程序，并附上详细注释，程序调试通过，可直接运行。-Extended kalman filter in target tracking. Gives a target distance based tracking algorithm Matlab source, along with detailed notes, debugging through, it can be directly run.
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粒子滤波理论是近年来跟踪领域的热门研究课题。在该领域，传统的卡尔曼（Kalman）滤波器是非常经典的运动目标跟踪工具。然而经典亦有其弊端，卡尔曼滤波对于非线性及非高斯环境下的工作能力相当无力。为解决这一问题，本文提出了一种基于粒子滤波的目标跟踪方法。其核心为以粒子(一种随机样本，携带权值)来表示后验概率密度，从而得到基于物理模型的近似最优数值解，其优点在于能在追踪的过程中实现更高的精度和更快的收敛速度等。粒子滤波通过加权计算这些带有权重的随机样本来得到目标的近似的运动状态，因此对于非高斯和非线性
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用卡尔曼滤波进行目标跟踪，有matlab代码，可以借鉴。(Calman filter for target tracking, there is matlab code, can be used for reference)
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Kalman Filter program for object distance and speed tracking
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对目标图像处理进行后，可以对目标进行追踪，卡尔曼滤波模型是目标追踪中常用的代码(After image processing, the target can be tracked. Kalman filter model is a common code in target tracking.)
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Over-the-horizon radar (OTHR) exploits skywave propagation
of high-frequency signals to detect and track targets,
which are different from the conventional radar. It
has received wide attention because of its wide area surveillance,
long detectio
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采用无迹卡尔曼滤波跟踪飞机飞行轨迹，文件中提供数据和MATLAB程序(Tracking the flight path of the aircraft with unscented Kalman filter, data and matlab program are provided in the document)
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