The interface for Unscented Kalman filter and Augmented Unscented Kalman filter.
More...
#include "kalman_filters.hpp"
The interface for Unscented Kalman filter and Augmented Unscented Kalman filter.
◆ ~UnscentedKalmanFilter()
virtual cv::tracking::UnscentedKalmanFilter::~UnscentedKalmanFilter |
( |
| ) |
|
|
virtual |
◆ 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()
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:
- /build/opencv-3.2.0+dfsg.1/contrib/modules/tracking/include/opencv2/tracking/kalman_filters.hpp