cv::tracking::UnscentedKalmanFilter Class Reference

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

#include "kalman_filters.hpp"

Public Member Functions
virtual	~UnscentedKalmanFilter ()
virtual Mat	correct (const Mat &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 (const Mat &control=Mat())=0

Detailed Description

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

Constructor & Destructor Documentation

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

inlinevirtual

Member Function Documentation

virtual Mat cv::tracking::UnscentedKalmanFilter::correct ( const Mat &  measurement )

pure virtual

The function performs correction step of the algorithm

Parameters

measurement

- the current measurement vector,

Returns

the corrected estimate of the state.

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

pure virtual

Returns

the error cross-covariance matrix.

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

pure virtual

Returns

the measurement noise cross-covariance matrix.

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

pure virtual

Returns

the process noise cross-covariance matrix.

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

pure virtual

Returns

the current estimate of the state.

virtual Mat cv::tracking::UnscentedKalmanFilter::predict ( const Mat &  control = Mat() )

pure virtual

The function performs prediction step of the algorithm

Parameters

control

- the current control vector,

Returns

the predicted estimate of the state.

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

• /build/master-contrib_docs-mac/opencv_contrib/modules/tracking/include/opencv2/tracking/kalman_filters.hpp