Take a look at the result of Kalman filter tracking. Why is it wrong?

When I ran the file kalman.m in from this tutorial http://www.mathworks.com/matlabcentral/fileexchange/14243-2d-target-tracking-using-kalman-filter

Please explain what is the use of kalman filter in this tutorial

A guy posted this tutorial abou开发者_高级运维t object tracking using Kalman filter. Many people rated high star so it is not a fault/wrong tutorial.

Use Kalman filter to track the position of an object, but need to know the position of that object as an input of Kalman filter. What is going on?

I am trying to study how to use Kalman filter in tracking an object (ball) moving in a video sequence by myself so please explain it to me as I am a child.

Why do we need to estimate the true position in Kalman filters?

I am following a probably well-known tutorial about Kalman filter. From these lines of code: figure; plot(t,pos, t,posmeas, t,poshat);

[Matlab]Where can I download this folder docroot\toolbox\eml\gs\examples\sl_kalman

I am following this Matlab tutorial. But I could not find the tuto开发者_开发技巧rial file in my computer, which is supposed to be in

Kalman Filter vs Exponential Filter

I was wondering, what are the advantages and disadvantages of Kalman Filter and Exponential Filter? I have a multi-sensor fusion problem and I\'m trying to decide which method to choose.

Filter out the accelerometers noise using Kalman filter in Python

I get from a socket a stream of data from an accelerometer with a lot of noise. something like this: ...开发者_如何学Go

Sensor fusioning with Kalman filter

I\'m intereste开发者_如何学Cd, how is the dual input in a sensor fusioning setup in a Kalman filter modeled?

O'Reilly book clarification on 2D linear system

The Oreilly book \"Learning OpenCV\" states at page 356 : Quote Before we get totally lost, let’s consider a particular re开发者_JAVA技巧alistic situation of taking measurements

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