The interface for Unscented Kalman filter and Augmented Unscented Kalman filter.
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#include <opencv2/tracking/kalman_filters.hpp>
The interface for Unscented Kalman filter and Augmented Unscented Kalman filter.
◆ ~UnscentedKalmanFilter()
virtual cv::tracking::UnscentedKalmanFilter::~UnscentedKalmanFilter |
( |
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inlinevirtual |
◆ correct()
virtual Mat cv::tracking::UnscentedKalmanFilter::correct |
( |
InputArray |
measurement | ) |
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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 |
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const |
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pure virtual |
- Returns
- the error cross-covariance matrix.
◆ getMeasurementNoiseCov()
virtual Mat cv::tracking::UnscentedKalmanFilter::getMeasurementNoiseCov |
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const |
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pure virtual |
- Returns
- the measurement noise cross-covariance matrix.
◆ getProcessNoiseCov()
virtual Mat cv::tracking::UnscentedKalmanFilter::getProcessNoiseCov |
( |
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const |
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pure virtual |
- Returns
- the process noise cross-covariance matrix.
◆ getState()
virtual Mat cv::tracking::UnscentedKalmanFilter::getState |
( |
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const |
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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: