Description: kalman滤波器应用的例子matlab代码，希望对做图像处理的有帮助-Kalman filter examples of the application of Matlab code, and I hope to do the image processing help Platform: |
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Description: 利用kalman滤波器对具有随机加速度的物体运动路线的进行信号采样，滤波处理和估计。-use kalman filter to sample signals of object moving route with random acceleration,filter and estimate Platform: |
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Description: kalman滤波器应用的例子matlab代码，希望对做图像处理的有帮助-Kalman filter examples of the application of Matlab code, and I hope to do the image processing help Platform: |
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Author:卢清华 |
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Description: 对kalman滤波进行了描述，并对其应用举例说明-Kalman filter for a description and examples of its application Platform: |
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Author:hello_jingjh |
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Description: 粒子滤波器是通过蒙特卡罗模拟来实现递归贝叶斯滤波，它不需要线性、高斯噪声的假设，适用于任何能用状态空间模型表示的非线性系统，比卡尔曼滤波器的适用范围广。这里给出了几个粒子滤波的matlab编程实例。-Particle filters are using Monte Carlo simulations to achieve the recursive Bayesian filtering, it does not require linear, Gaussian noise assumptions, can be used for any state-space model of nonlinear systems .It has a wider scope application than the Kalman filter . Here are a few examples of particle filter matlab programming. Platform: |
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Description: 本次实验来源于opencv自带sample中的例子，该例子是用kalman来完成一个一维的跟踪，即跟踪一个不断变化的角度。在界面中表现为一个点在圆周上匀速跑，然后跟踪该点。看起来跟踪点是个二维的，其实转换成角度就是一维的了。
Kalman滤波理论主要应用在现实世界中个，并不是理想环境。主要是来跟踪的某一个变量的值，跟踪的依据是首先根据系统的运动方程来对该值做预测，比如说我们知道一个物体的运动速度，那么下面时刻它的位置按照道理是可以预测出来的，不过该预测肯定有误差，只能作为跟踪的依据。另一个依据是可以用测量手段来测量那个变量的值，当然该测量也是有误差的，也只能作为依据，不过这2个依据的权重比例不同。最后kalman滤波就是利用这两个依据进行一些列迭代进行目标跟踪的。-This experiment from the examples the opencv own sample, the example is to complete a one-dimensional tracking using kalman, ie, tracking a changing point of view. Performance in the interface as a point in the circle on steady running, then track the points. Looks like the tracking point is a two-dimensional, in fact, convert the angle is one-dimensional. The main application of the Kalman filter theory in the real world, not the ideal environment. Is the value of a variable to keep track of the basis for tracking the first according to the equation of motion of the system to the value forecast, for example, we know the velocity of an object, then the following moment of its location in accordance with the truth can be predicted , but the forecast is certainly a margin of error, only as a basis for tracking. Another is based on measurements to measure the value of that variable, Of course, this measurement error can only be used as the basis of these two basis weights the different pr Platform: |
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Description: 卡尔曼滤波的教程，包括基本原理的介绍，和应用举例，非常适合新手。-Kalman filter tutorials, including the introduction of the basic principles and application examples, very suitable for beginners. Platform: |
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Description: 在机器视觉中追踪时常会用到预测算法，kalman是你一定知道的。它可以用来预测各种状态，比如说位置，速度等。关于它的理论有很多很好的文献可以参考。opencv给出了kalman filter的一个实现，而且有范例，该应用是对二维坐标进行预测和平滑-In machine vision often used to track prediction algorithm, kalman is that you must know. It can be used to predict various states, such as position, speed and the like. There are many theories about its well documented reference. opencv gives a realization kalman filter, and there are examples of the application is a two-dimensional coordinate forecasting and smoothing Platform: |
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