//
// This file is auto-generated. Please don't modify it!
//
package org.opencv.video;
import org.opencv.core.Mat;
// C++: class KalmanFilter
/**
* <p>Kalman filter class.</p>
*
* <p>The class implements a standard Kalman filter http://en.wikipedia.org/wiki/Kalman_filter,
* [Welch95]. However, you can modify <code>transitionMatrix</code>,
* <code>controlMatrix</code>, and <code>measurementMatrix</code> to get an
* extended Kalman filter functionality. See the OpenCV sample <code>kalman.cpp</code>.</p>
*
* <p>Note:</p>
* <ul>
* <li> An example using the standard Kalman filter can be found at
* opencv_source_code/samples/cpp/kalman.cpp
* </ul>
*
* @see <a href="http://docs.opencv.org/modules/video/doc/motion_analysis_and_object_tracking.html#kalmanfilter">org.opencv.video.KalmanFilter</a>
*/
public class KalmanFilter {
protected final long nativeObj;
protected KalmanFilter(long addr) { nativeObj = addr; }
//
// C++: KalmanFilter::KalmanFilter()
//
/**
* <p>The constructors.</p>
*
* <p>The full constructor.</p>
*
* <p>Note: In C API when <code>CvKalman* kalmanFilter</code> structure is not
* needed anymore, it should be released with <code>cvReleaseKalman(&kalmanFilter)</code></p>
*
* @see <a href="http://docs.opencv.org/modules/video/doc/motion_analysis_and_object_tracking.html#kalmanfilter-kalmanfilter">org.opencv.video.KalmanFilter.KalmanFilter</a>
*/
public KalmanFilter()
{
nativeObj = KalmanFilter_0();
return;
}
//
// C++: KalmanFilter::KalmanFilter(int dynamParams, int measureParams, int controlParams = 0, int type = CV_32F)
//
/**
* <p>The constructors.</p>
*
* <p>The full constructor.</p>
*
* <p>Note: In C API when <code>CvKalman* kalmanFilter</code> structure is not
* needed anymore, it should be released with <code>cvReleaseKalman(&kalmanFilter)</code></p>
*
* @param dynamParams Dimensionality of the state.
* @param measureParams Dimensionality of the measurement.
* @param controlParams Dimensionality of the control vector.
* @param type Type of the created matrices that should be <code>CV_32F</code>
* or <code>CV_64F</code>.
*
* @see <a href="http://docs.opencv.org/modules/video/doc/motion_analysis_and_object_tracking.html#kalmanfilter-kalmanfilter">org.opencv.video.KalmanFilter.KalmanFilter</a>
*/
public KalmanFilter(int dynamParams, int measureParams, int controlParams, int type)
{
nativeObj = KalmanFilter_1(dynamParams, measureParams, controlParams, type);
return;
}
/**
* <p>The constructors.</p>
*
* <p>The full constructor.</p>
*
* <p>Note: In C API when <code>CvKalman* kalmanFilter</code> structure is not
* needed anymore, it should be released with <code>cvReleaseKalman(&kalmanFilter)</code></p>
*
* @param dynamParams Dimensionality of the state.
* @param measureParams Dimensionality of the measurement.
*
* @see <a href="http://docs.opencv.org/modules/video/doc/motion_analysis_and_object_tracking.html#kalmanfilter-kalmanfilter">org.opencv.video.KalmanFilter.KalmanFilter</a>
*/
public KalmanFilter(int dynamParams, int measureParams)
{
nativeObj = KalmanFilter_2(dynamParams, measureParams);
return;
}
//
// C++: Mat KalmanFilter::correct(Mat measurement)
//
/**
* <p>Updates the predicted state from the measurement.</p>
*
* @param measurement The measured system parameters
*
* @see <a href="http://docs.opencv.org/modules/video/doc/motion_analysis_and_object_tracking.html#kalmanfilter-correct">org.opencv.video.KalmanFilter.correct</a>
*/
public Mat correct(Mat measurement)
{
Mat retVal = new Mat(correct_0(nativeObj, measurement.nativeObj));
return retVal;
}
//
// C++: Mat KalmanFilter::predict(Mat control = Mat())
//
/**
* <p>Computes a predicted state.</p>
*
* @param control The optional input control
*
* @see <a href="http://docs.opencv.org/modules/video/doc/motion_analysis_and_object_tracking.html#kalmanfilter-predict">org.opencv.video.KalmanFilter.predict</a>
*/
public Mat predict(Mat control)
{
Mat retVal = new Mat(predict_0(nativeObj, control.nativeObj));
return retVal;
}
/**
* <p>Computes a predicted state.</p>
*
* @see <a href="http://docs.opencv.org/modules/video/doc/motion_analysis_and_object_tracking.html#kalmanfilter-predict">org.opencv.video.KalmanFilter.predict</a>
*/
public Mat predict()
{
Mat retVal = new Mat(predict_1(nativeObj));
return retVal;
}
@Override
protected void finalize() throws Throwable {
delete(nativeObj);
}
// C++: KalmanFilter::KalmanFilter()
private static native long KalmanFilter_0();
// C++: KalmanFilter::KalmanFilter(int dynamParams, int measureParams, int controlParams = 0, int type = CV_32F)
private static native long KalmanFilter_1(int dynamParams, int measureParams, int controlParams, int type);
private static native long KalmanFilter_2(int dynamParams, int measureParams);
// C++: Mat KalmanFilter::correct(Mat measurement)
private static native long correct_0(long nativeObj, long measurement_nativeObj);
// C++: Mat KalmanFilter::predict(Mat control = Mat())
private static native long predict_0(long nativeObj, long control_nativeObj);
private static native long predict_1(long nativeObj);
// native support for java finalize()
private static native void delete(long nativeObj);
}