Package org.opencv.video

Class KalmanFilter

java.lang.Object
org.opencv.video.KalmanFilter
public class KalmanFilter extends Object
Kalman filter class. The class implements a standard Kalman filter <http://en.wikipedia.org/wiki/Kalman_filter>, CITE: Welch95 . However, you can modify transitionMatrix, controlMatrix, and measurementMatrix to get an extended Kalman filter functionality. Note: In C API when CvKalman\* kalmanFilter structure is not needed anymore, it should be released with cvReleaseKalman(&kalmanFilter)

  • Field Details

    • nativeObj

      protected final long nativeObj

  • Constructor Details

    • KalmanFilter

      protected KalmanFilter(long addr)

    • KalmanFilter

      public KalmanFilter()

    • KalmanFilter

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

    • KalmanFilter

      public KalmanFilter(int dynamParams, int measureParams, int controlParams)
      Parameters:
      dynamParams - Dimensionality of the state.
      measureParams - Dimensionality of the measurement.
      controlParams - Dimensionality of the control vector.

    • KalmanFilter

      public KalmanFilter(int dynamParams, int measureParams)
      Parameters:
      dynamParams - Dimensionality of the state.
      measureParams - Dimensionality of the measurement.

  • Method Details

    • getNativeObjAddr

      public long getNativeObjAddr()

    • __fromPtr__

      public static KalmanFilter __fromPtr__(long addr)

    • predict

      public Mat predict(Mat control)
      Computes a predicted state.
      Parameters:
      control - The optional input control
      Returns:
      automatically generated

    • predict

      public Mat predict()
      Computes a predicted state.
      Returns:
      automatically generated

    • correct

      public Mat correct(Mat measurement)
      Updates the predicted state from the measurement.
      Parameters:
      measurement - The measured system parameters
      Returns:
      automatically generated

    • get_statePre

      public Mat get_statePre()

    • set_statePre

      public void set_statePre(Mat statePre)

    • get_statePost

      public Mat get_statePost()

    • set_statePost

      public void set_statePost(Mat statePost)

    • get_transitionMatrix

      public Mat get_transitionMatrix()

    • set_transitionMatrix

      public void set_transitionMatrix(Mat transitionMatrix)

    • get_controlMatrix

      public Mat get_controlMatrix()

    • set_controlMatrix

      public void set_controlMatrix(Mat controlMatrix)

    • get_measurementMatrix

      public Mat get_measurementMatrix()

    • set_measurementMatrix

      public void set_measurementMatrix(Mat measurementMatrix)

    • get_processNoiseCov

      public Mat get_processNoiseCov()

    • set_processNoiseCov

      public void set_processNoiseCov(Mat processNoiseCov)

    • get_measurementNoiseCov

      public Mat get_measurementNoiseCov()

    • set_measurementNoiseCov

      public void set_measurementNoiseCov(Mat measurementNoiseCov)

    • get_errorCovPre

      public Mat get_errorCovPre()

    • set_errorCovPre

      public void set_errorCovPre(Mat errorCovPre)

    • get_gain

      public Mat get_gain()

    • set_gain

      public void set_gain(Mat gain)

    • get_errorCovPost

      public Mat get_errorCovPost()

    • set_errorCovPost

      public void set_errorCovPost(Mat errorCovPost)

    • finalize

      protected void finalize() throws Throwable
      Overrides:
      finalize in class Object
      Throws:
      Throwable