org.opencv.video
Class KalmanFilter

java.lang.Object
  org.opencv.video.KalmanFilter

public class KalmanFilter
extends java.lang.Object

Kalman filter class.

The class implements a standard Kalman filter http://en.wikipedia.org/wiki/Kalman_filter, [Welch95]. However, you can modify transitionMatrix, controlMatrix, and measurementMatrix to get an extended Kalman filter functionality. See the OpenCV sample kalman.cpp.

Note:

• An example using the standard Kalman filter can be found at opencv_source_code/samples/cpp/kalman.cpp

See Also:

org.opencv.video.KalmanFilter

Constructor Summary

KalmanFilter()
The constructors.

KalmanFilter(int dynamParams, int measureParams)
The constructors.

KalmanFilter(int dynamParams, int measureParams, int controlParams, int type)
The constructors.

Method Summary

Mat	correct(Mat measurement) Updates the predicted state from the measurement.
Mat	predict() Computes a predicted state.
Mat	predict(Mat control) Computes a predicted state.

Methods inherited from class java.lang.Object

equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

KalmanFilter

public KalmanFilter()

The constructors.

The full constructor.

Note: In C API when CvKalman* kalmanFilter structure is not needed anymore, it should be released with cvReleaseKalman(&kalmanFilter)

See Also:

org.opencv.video.KalmanFilter.KalmanFilter

KalmanFilter

public KalmanFilter(int dynamParams,
                    int measureParams)

The constructors.

The full constructor.

Note: In C API when CvKalman* kalmanFilter structure is not needed anymore, it should be released with cvReleaseKalman(&kalmanFilter)

Parameters:

dynamParams - Dimensionality of the state.

measureParams - Dimensionality of the measurement.

See Also:

org.opencv.video.KalmanFilter.KalmanFilter

KalmanFilter

public KalmanFilter(int dynamParams,
                    int measureParams,
                    int controlParams,
                    int type)

The constructors.

The full constructor.

Note: In C API when CvKalman* kalmanFilter structure is not needed anymore, it should be released with cvReleaseKalman(&kalmanFilter)

Parameters:

dynamParams - Dimensionality of the state.

measureParams - Dimensionality of the measurement.

controlParams - Dimensionality of the control vector.

type - Type of the created matrices that should be CV_32F or CV_64F.

See Also:

org.opencv.video.KalmanFilter.KalmanFilter

Method Detail

correct

public Mat correct(Mat measurement)

Updates the predicted state from the measurement.

Parameters:

measurement - The measured system parameters

See Also:

org.opencv.video.KalmanFilter.correct

predict

public Mat predict()

Computes a predicted state.

See Also:

org.opencv.video.KalmanFilter.predict

predict

public Mat predict(Mat control)

Computes a predicted state.

Parameters:

control - The optional input control

See Also:

org.opencv.video.KalmanFilter.predict