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OpenCV
4.5.4
Open Source Computer Vision
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Structure for the Kalman filter's initialization parameters. More...
#include <opencv2/gapi/video.hpp>
Public Attributes | |
| Mat | controlMatrix |
| control matrix (B) (Optional: not used if there's no control) More... | |
| Mat | errorCov |
| posteriori error estimate covariance matrix (P(k)): P(k)=(I-K(k)*H)*P'(k) More... | |
| Mat | measurementMatrix |
| measurement matrix (H) More... | |
| Mat | measurementNoiseCov |
| measurement noise covariance matrix (R) More... | |
| Mat | processNoiseCov |
| process noise covariance matrix (Q) More... | |
| Mat | state |
| corrected state (x(k)): x(k)=x'(k)+K(k)*(z(k)-H*x'(k)) More... | |
| Mat | transitionMatrix |
| state transition matrix (A) More... | |
Structure for the Kalman filter's initialization parameters.
| Mat cv::gapi::KalmanParams::controlMatrix |
control matrix (B) (Optional: not used if there's no control)
| Mat cv::gapi::KalmanParams::errorCov |
posteriori error estimate covariance matrix (P(k)): P(k)=(I-K(k)*H)*P'(k)
| Mat cv::gapi::KalmanParams::measurementMatrix |
measurement matrix (H)
| Mat cv::gapi::KalmanParams::measurementNoiseCov |
measurement noise covariance matrix (R)
| Mat cv::gapi::KalmanParams::processNoiseCov |
process noise covariance matrix (Q)
| Mat cv::gapi::KalmanParams::state |
corrected state (x(k)): x(k)=x'(k)+K(k)*(z(k)-H*x'(k))
| Mat cv::gapi::KalmanParams::transitionMatrix |
state transition matrix (A)
1.8.13