cv::tracking::UnscentedKalmanFilter Class Reference

The interface for Unscented Kalman filter and Augmented Unscented Kalman filter. More...

#include <opencv2/tracking/kalman_filters.hpp>

Public Member Functions
virtual	~UnscentedKalmanFilter ()
virtual Mat	correct (InputArray measurement)=0
virtual Mat	getErrorCov () const =0
virtual Mat	getMeasurementNoiseCov () const =0
virtual Mat	getProcessNoiseCov () const =0
virtual Mat	getState () const =0
virtual Mat	predict (InputArray control=noArray())=0

Detailed Description

The interface for Unscented Kalman filter and Augmented Unscented Kalman filter.

Constructor & Destructor Documentation

~UnscentedKalmanFilter()

virtual cv::tracking::UnscentedKalmanFilter::~UnscentedKalmanFilter ( )

inlinevirtual

Member Function Documentation

correct()

virtual Mat cv::tracking::UnscentedKalmanFilter::correct ( InputArray  measurement )

pure virtual

The function performs correction step of the algorithm

Parameters

measurement

- the current measurement vector,

Returns

the corrected estimate of the state.

getErrorCov()

virtual Mat cv::tracking::UnscentedKalmanFilter::getErrorCov ( ) const

pure virtual

Returns

the error cross-covariance matrix.

getMeasurementNoiseCov()

virtual Mat cv::tracking::UnscentedKalmanFilter::getMeasurementNoiseCov ( ) const

pure virtual

Returns

the measurement noise cross-covariance matrix.

getProcessNoiseCov()

virtual Mat cv::tracking::UnscentedKalmanFilter::getProcessNoiseCov ( ) const

pure virtual

Returns

the process noise cross-covariance matrix.

getState()

virtual Mat cv::tracking::UnscentedKalmanFilter::getState ( ) const

pure virtual

Returns

the current estimate of the state.

predict()

virtual Mat cv::tracking::UnscentedKalmanFilter::predict ( InputArray  control = noArray() )

pure virtual

The function performs prediction step of the algorithm

Parameters

control

- the current control vector,

Returns

the predicted estimate of the state.

---

The documentation for this class was generated from the following file:

• opencv2/tracking/kalman_filters.hpp