Struct cv::gapi::KalmanParams#

Structure for the Kalman filter's initialization parameters.

#include <opencv2/gapi/video.hpp>

Collaboration diagram for cv::gapi::KalmanParams:

cv::gapi::KalmanParams Node1 cv::gapi::KalmanParams     Node2 cv::Mat   + Mat() + Mat() + Mat() + Mat() + Mat() + Mat() + Mat() + Mat() + Mat() + Mat() and 152 more... + diag() + eye() + eye() + getDefaultAllocator() + getStdAllocator() + ones() + ones() + ones() + ones() + setDefaultAllocator() + zeros() + zeros() + zeros() + zeros() # forEach_impl() Node2->Node1 +controlMatrix +errorCov +measurementMatrix +measurementNoiseCov +processNoiseCov +state +transitionMatrix Node3 int     Node3->Node2 +cols +dims +dummy +flags +rows Node4 uint8_t     Node4->Node2 +data +dataend +datalimit +datastart Node5 cv::MatAllocator   + MatAllocator() + ~MatAllocator() + allocate() + allocate() + copy() + deallocate() + download() + getBufferPoolController() + map() + unmap() + upload() Node5->Node2 +allocator Node6 UMatData *     Node6->Node2 +u Node7 MatSize     Node7->Node2 +size Node8 MatStep     Node8->Node2 +step

cv::gapi::KalmanParams Node1 cv::gapi::KalmanParams     Node2 cv::Mat   + Mat() + Mat() + Mat() + Mat() + Mat() + Mat() + Mat() + Mat() + Mat() + Mat() and 152 more... + diag() + eye() + eye() + getDefaultAllocator() + getStdAllocator() + ones() + ones() + ones() + ones() + setDefaultAllocator() + zeros() + zeros() + zeros() + zeros() # forEach_impl() Node2->Node1 +controlMatrix +errorCov +measurementMatrix +measurementNoiseCov +processNoiseCov +state +transitionMatrix Node3 int     Node3->Node2 +cols +dims +dummy +flags +rows Node4 uint8_t     Node4->Node2 +data +dataend +datalimit +datastart Node5 cv::MatAllocator   + MatAllocator() + ~MatAllocator() + allocate() + allocate() + copy() + deallocate() + download() + getBufferPoolController() + map() + unmap() + upload() Node5->Node2 +allocator Node6 UMatData *     Node6->Node2 +u Node7 MatSize     Node7->Node2 +size Node8 MatStep     Node8->Node2 +step

Detailed Description#

Structure for the Kalman filter’s initialization parameters.

Member Data Documentation#

controlMatrix#

Mat cv::gapi::KalmanParams::controlMatrix

control matrix (B) (Optional: not used if there’s no control)

errorCov#

Mat cv::gapi::KalmanParams::errorCov

posteriori error estimate covariance matrix (P(k)): P(k)=(I-K(k)*H)*P’(k)

measurementMatrix#

Mat cv::gapi::KalmanParams::measurementMatrix

measurement matrix (H)

measurementNoiseCov#

Mat cv::gapi::KalmanParams::measurementNoiseCov

measurement noise covariance matrix (R)

processNoiseCov#

Mat cv::gapi::KalmanParams::processNoiseCov

process noise covariance matrix (Q)

state#

Mat cv::gapi::KalmanParams::state

corrected state (x(k)): x(k)=x’(k)+K(k)(z(k)-Hx’(k))

transitionMatrix#

Mat cv::gapi::KalmanParams::transitionMatrix

state transition matrix (A)

Source file#

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