Emgu CV Library Documentation
Kalman Constructor (initialState, transitionMatrix, controlMatrix, measurementMatrix, processNoiseCovarianceMatrix, measurementNoiseCovarianceMatrix)
NamespacesEmgu.CVKalmanKalman(Matrix<(Of <(Single>)>), Matrix<(Of <(Single>)>), Matrix<(Of <(Single>)>), Matrix<(Of <(Single>)>), Matrix<(Of <(Single>)>), Matrix<(Of <(Single>)>))

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Create a Kalman Filter using the specific values
Declaration Syntax
C#Visual BasicVisual C++
public Kalman(
	Matrix<float> initialState,
	Matrix<float> transitionMatrix,
	Matrix<float> controlMatrix,
	Matrix<float> measurementMatrix,
	Matrix<float> processNoiseCovarianceMatrix,
	Matrix<float> measurementNoiseCovarianceMatrix
)
Public Sub New ( _
	initialState As Matrix(Of Single), _
	transitionMatrix As Matrix(Of Single), _
	controlMatrix As Matrix(Of Single), _
	measurementMatrix As Matrix(Of Single), _
	processNoiseCovarianceMatrix As Matrix(Of Single), _
	measurementNoiseCovarianceMatrix As Matrix(Of Single) _
)
public:
Kalman(
	Matrix<float>^ initialState, 
	Matrix<float>^ transitionMatrix, 
	Matrix<float>^ controlMatrix, 
	Matrix<float>^ measurementMatrix, 
	Matrix<float>^ processNoiseCovarianceMatrix, 
	Matrix<float>^ measurementNoiseCovarianceMatrix
)
Parameters
initialState (Matrix<(Of <(Single>)>))
The m x 1 matrix
transitionMatrix (Matrix<(Of <(Single>)>))
The m x m matrix (A)
controlMatrix (Matrix<(Of <(Single>)>))
The m x n matrix (B)
measurementMatrix (Matrix<(Of <(Single>)>))
The n x m matrix (H)
processNoiseCovarianceMatrix (Matrix<(Of <(Single>)>))
The n x n matrix (Q)
measurementNoiseCovarianceMatrix (Matrix<(Of <(Single>)>))
The m x m matrix (R)

Assembly: Emgu.CV (Module: Emgu.CV) Version: 1.3.0.0 (1.3.0.0)