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OpenCV 2.4.2 | |||||||
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java.lang.Objectorg.opencv.video.KalmanFilter
public class KalmanFilter
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.
| Field Summary | |
|---|---|
protected long |
nativeObj
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| Constructor Summary | |
|---|---|
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KalmanFilter()
The constructors. |
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KalmanFilter(int dynamParams,
int measureParams)
The constructors. |
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KalmanFilter(int dynamParams,
int measureParams,
int controlParams,
int type)
The constructors. |
protected |
KalmanFilter(long addr)
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| Method Summary | |
|---|---|
Mat |
correct(Mat measurement)
Updates the predicted state from the measurement. |
protected void |
finalize()
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Mat |
predict()
Computes a predicted state. |
Mat |
predict(Mat control)
Computes a predicted state. |
| Methods inherited from class java.lang.Object |
|---|
clone, equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
| Field Detail |
|---|
protected final long nativeObj
| Constructor Detail |
|---|
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)
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)
dynamParams - Dimensionality of the state.measureParams - Dimensionality of the measurement.
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)
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.protected KalmanFilter(long addr)
| Method Detail |
|---|
public Mat correct(Mat measurement)
Updates the predicted state from the measurement.
measurement - The measured system parameters
protected void finalize()
throws java.lang.Throwable
finalize in class java.lang.Objectjava.lang.Throwablepublic Mat predict()
Computes a predicted state.
public Mat predict(Mat control)
Computes a predicted state.
control - The optional input control
|
Official OpenCV 2.4 Documentation | |||||||
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