OpenCV
4.10.0
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) | |
Mat | errorCov |
posteriori error estimate covariance matrix (P(k)): P(k)=(I-K(k)*H)*P'(k) | |
Mat | measurementMatrix |
measurement matrix (H) | |
Mat | measurementNoiseCov |
measurement noise covariance matrix (R) | |
Mat | processNoiseCov |
process noise covariance matrix (Q) | |
Mat | state |
corrected state (x(k)): x(k)=x'(k)+K(k)*(z(k)-H*x'(k)) | |
Mat | transitionMatrix |
state transition matrix (A) | |
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)