Unscented Kalman filter parameters. The class for initialization parameters of Unscented Kalman filter.
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#include <opencv2/tracking/kalman_filters.hpp>
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| UnscentedKalmanFilterParams () |
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| UnscentedKalmanFilterParams (int dp, int mp, int cp, double processNoiseCovDiag, double measurementNoiseCovDiag, Ptr< UkfSystemModel > dynamicalSystem, int type=CV_64F) |
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void | init (int dp, int mp, int cp, double processNoiseCovDiag, double measurementNoiseCovDiag, Ptr< UkfSystemModel > dynamicalSystem, int type=CV_64F) |
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Unscented Kalman filter parameters. The class for initialization parameters of Unscented Kalman filter.
◆ UnscentedKalmanFilterParams() [1/2]
cv::tracking::UnscentedKalmanFilterParams::UnscentedKalmanFilterParams |
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◆ UnscentedKalmanFilterParams() [2/2]
cv::tracking::UnscentedKalmanFilterParams::UnscentedKalmanFilterParams |
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int |
dp, |
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int |
mp, |
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int |
cp, |
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double |
processNoiseCovDiag, |
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double |
measurementNoiseCovDiag, |
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Ptr< UkfSystemModel > |
dynamicalSystem, |
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int |
type = CV_64F |
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- Parameters
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dp | - dimensionality of the state vector, |
mp | - dimensionality of the measurement vector, |
cp | - dimensionality of the control vector, |
processNoiseCovDiag | - value of elements on main diagonal process noise cross-covariance matrix, |
measurementNoiseCovDiag | - value of elements on main diagonal measurement noise cross-covariance matrix, |
dynamicalSystem | - ptr to object of the class containing functions for computing the next state and the measurement, |
type | - type of the created matrices that should be CV_32F or CV_64F. |
◆ init()
void cv::tracking::UnscentedKalmanFilterParams::init |
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int |
dp, |
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int |
mp, |
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int |
cp, |
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double |
processNoiseCovDiag, |
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double |
measurementNoiseCovDiag, |
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Ptr< UkfSystemModel > |
dynamicalSystem, |
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int |
type = CV_64F |
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) |
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The function for initialization of Unscented Kalman filter
- Parameters
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dp | - dimensionality of the state vector, |
mp | - dimensionality of the measurement vector, |
cp | - dimensionality of the control vector, |
processNoiseCovDiag | - value of elements on main diagonal process noise cross-covariance matrix, |
measurementNoiseCovDiag | - value of elements on main diagonal measurement noise cross-covariance matrix, |
dynamicalSystem | - ptr to object of the class containing functions for computing the next state and the measurement, |
type | - type of the created matrices that should be CV_32F or CV_64F. |
◆ alpha
double cv::tracking::UnscentedKalmanFilterParams::alpha |
◆ beta
double cv::tracking::UnscentedKalmanFilterParams::beta |
◆ CP
int cv::tracking::UnscentedKalmanFilterParams::CP |
Dimensionality of the control vector.
◆ dataType
int cv::tracking::UnscentedKalmanFilterParams::dataType |
Type of elements of vectors and matrices, default is CV_64F.
◆ DP
int cv::tracking::UnscentedKalmanFilterParams::DP |
Dimensionality of the state vector.
◆ errorCovInit
Mat cv::tracking::UnscentedKalmanFilterParams::errorCovInit |
State estimate cross-covariance matrix, DP x DP, default is identity.
double cv::tracking::UnscentedKalmanFilterParams::k |
◆ measurementNoiseCov
Mat cv::tracking::UnscentedKalmanFilterParams::measurementNoiseCov |
Measurement noise cross-covariance matrix, MP x MP.
◆ model
Object of the class containing functions for computing the next state and the measurement.
◆ MP
int cv::tracking::UnscentedKalmanFilterParams::MP |
Dimensionality of the measurement vector.
◆ processNoiseCov
Mat cv::tracking::UnscentedKalmanFilterParams::processNoiseCov |
Process noise cross-covariance matrix, DP x DP.
◆ stateInit
Mat cv::tracking::UnscentedKalmanFilterParams::stateInit |
Initial state, DP x 1, default is zero.
The documentation for this class was generated from the following file: