Emgu CV Library Documentation
Kalman Class
NamespacesEmgu.CVKalman

www.emgu.com/wiki
A Kalman Filter
Declaration Syntax
C#Visual BasicVisual C++
public class Kalman : DisposableObject
Public Class Kalman _
	Inherits DisposableObject
public ref class Kalman : public DisposableObject
Members
All MembersConstructorsMethodsProperties



IconMemberDescription
Kalman(Matrix<(Of <(Single>)>), Matrix<(Of <(Single>)>), Matrix<(Of <(Single>)>), Matrix<(Of <(Single>)>), Matrix<(Of <(Single>)>), Matrix<(Of <(Single>)>))
Create a Kalman Filter using the specific values

Kalman(Matrix<(Of <(Single>)>), Matrix<(Of <(Single>)>), Matrix<(Of <(Single>)>), Matrix<(Of <(Single>)>), Matrix<(Of <(Single>)>))
Create a Kalman Filter using the specific values

Kalman(Int32, Int32, Int32)
Allocates CvKalman and all its matrices and initializes them somehow.

ControlMatrix
Get or Set the control matrix

Correct(Matrix<(Of <(Single>)>))
Adjusts stochastic model state on the basis of the given measurement of the model state

CorrectedState
Get or Set the Corrected State

Dispose()()()
The dispose function that implements IDisposable interface
(Inherited from DisposableObject.)
Dispose(Boolean)
Release the all the memory associate with this object
(Inherited from DisposableObject.)
DisposeObject()()()
Release all the matrix associated to this object
(Overrides DisposableObject.DisposeObject()()().)
Equals(Object)
Determines whether the specified Object is equal to the current Object.
(Inherited from Object.)
ErrorCovariancePost
Get or Set the posteriori error estimate covariance matrix

ErrorCovariancePre
Get or Set the prior error convariance matrix

Finalize()()()
Destructor
(Inherited from DisposableObject.)
Gain
Get or Set the Kalman Gain

GetHashCode()()()
Serves as a hash function for a particular type.
(Inherited from Object.)
GetType()()()
Gets the Type of the current instance.
(Inherited from Object.)
MCvKalman
Get the MCvKalman structure

MeasurementMatrix
Get or Set the measurement matrix

MeasurementNoiseCovariance
Get or Set the measurement noise covariance matrix

MemberwiseClone()()()
Creates a shallow copy of the current Object.
(Inherited from Object.)
Predict(Matrix<(Of <(Single>)>))
Estimates the subsequent stochastic model state by its current state and stores it at PredictedState

Predict()()()
Estimates the subsequent stochastic model state by its current state

PredictedState
Get or Set the Predicted State

ProcessNoiseCovariance
Get or Set the process noise covariance matrix

ToString()()()
Returns a String that represents the current Object.
(Inherited from Object.)
TransitionMatrix
Get or Set the state transition matrix

Inheritance Hierarchy

Assembly: Emgu.CV (Module: Emgu.CV) Version: 1.5.0.0 (1.5.0.0)