org.bytedeco.javacpp

Class opencv_tracking.AugmentedUnscentedKalmanFilterParams

java.lang.Object

org.bytedeco.javacpp.Pointer

org.bytedeco.javacpp.opencv_tracking.UnscentedKalmanFilterParams

org.bytedeco.javacpp.opencv_tracking.AugmentedUnscentedKalmanFilterParams

All Implemented Interfaces:

AutoCloseable

Enclosing class:

opencv_tracking

@Namespace(value="cv::tracking")
public static class opencv_tracking.AugmentedUnscentedKalmanFilterParams
extends opencv_tracking.UnscentedKalmanFilterParams

\brief Augmented Unscented Kalman filter parameters. The class for initialization parameters of Augmented Unscented Kalman filter

Nested Class Summary

Nested classes/interfaces inherited from class org.bytedeco.javacpp.Pointer

org.bytedeco.javacpp.Pointer.CustomDeallocator, org.bytedeco.javacpp.Pointer.Deallocator, org.bytedeco.javacpp.Pointer.NativeDeallocator

Field Summary

Fields inherited from class org.bytedeco.javacpp.Pointer

address, capacity, limit, position

Constructor Summary

Constructors

Constructor and Description
AugmentedUnscentedKalmanFilterParams()
AugmentedUnscentedKalmanFilterParams(int dp, int mp, int cp, double processNoiseCovDiag, double measurementNoiseCovDiag, opencv_tracking.UkfSystemModel dynamicalSystem)
AugmentedUnscentedKalmanFilterParams(int dp, int mp, int cp, double processNoiseCovDiag, double measurementNoiseCovDiag, opencv_tracking.UkfSystemModel dynamicalSystem, int type)
AugmentedUnscentedKalmanFilterParams(long size) Native array allocator.
AugmentedUnscentedKalmanFilterParams(org.bytedeco.javacpp.Pointer p) Pointer cast constructor.

Method Summary

Modifier and Type	Method and Description
void	init(int dp, int mp, int cp, double processNoiseCovDiag, double measurementNoiseCovDiag, opencv_tracking.UkfSystemModel dynamicalSystem)
void	init(int dp, int mp, int cp, double processNoiseCovDiag, double measurementNoiseCovDiag, opencv_tracking.UkfSystemModel dynamicalSystem, int type) The function for initialization of Augmented Unscented Kalman filter
opencv_tracking.AugmentedUnscentedKalmanFilterParams	position(long position)

Methods inherited from class org.bytedeco.javacpp.opencv_tracking.UnscentedKalmanFilterParams

alpha, alpha, beta, beta, CP, CP, dataType, dataType, DP, DP, errorCovInit, errorCovInit, k, k, measurementNoiseCov, measurementNoiseCov, model, model, MP, MP, processNoiseCov, processNoiseCov, stateInit, stateInit

Methods inherited from class org.bytedeco.javacpp.Pointer

address, asBuffer, asByteBuffer, availablePhysicalBytes, calloc, capacity, capacity, close, deallocate, deallocate, deallocateReferences, deallocator, deallocator, equals, fill, formatBytes, free, hashCode, isNull, limit, limit, malloc, maxBytes, maxPhysicalBytes, memchr, memcmp, memcpy, memmove, memset, offsetof, parseBytes, physicalBytes, position, put, realloc, setNull, sizeof, toString, totalBytes, totalPhysicalBytes, withDeallocator, zero

Methods inherited from class java.lang.Object

clone, finalize, getClass, notify, notifyAll, wait, wait, wait

Constructor Detail

AugmentedUnscentedKalmanFilterParams

public AugmentedUnscentedKalmanFilterParams(org.bytedeco.javacpp.Pointer p)

Pointer cast constructor. Invokes Pointer.Pointer(Pointer).

AugmentedUnscentedKalmanFilterParams

public AugmentedUnscentedKalmanFilterParams(long size)

Native array allocator. Access with Pointer.position(long).

AugmentedUnscentedKalmanFilterParams

public AugmentedUnscentedKalmanFilterParams()

AugmentedUnscentedKalmanFilterParams

public AugmentedUnscentedKalmanFilterParams(int dp,
                                            int mp,
                                            int cp,
                                            double processNoiseCovDiag,
                                            double measurementNoiseCovDiag,
                                            @opencv_core.Ptr
                                            opencv_tracking.UkfSystemModel dynamicalSystem,
                                            int type)

Parameters:

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.

AugmentedUnscentedKalmanFilterParams

public AugmentedUnscentedKalmanFilterParams(int dp,
                                            int mp,
                                            int cp,
                                            double processNoiseCovDiag,
                                            double measurementNoiseCovDiag,
                                            @opencv_core.Ptr
                                            opencv_tracking.UkfSystemModel dynamicalSystem)

Method Detail

position

public opencv_tracking.AugmentedUnscentedKalmanFilterParams position(long position)

Overrides:

position in class opencv_tracking.UnscentedKalmanFilterParams

init

public void init(int dp,
                 int mp,
                 int cp,
                 double processNoiseCovDiag,
                 double measurementNoiseCovDiag,
                 @opencv_core.Ptr
                 opencv_tracking.UkfSystemModel dynamicalSystem,
                 int type)

The function for initialization of Augmented Unscented Kalman filter

Overrides:

init in class opencv_tracking.UnscentedKalmanFilterParams

Parameters:

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 - - 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

public void init(int dp,
                 int mp,
                 int cp,
                 double processNoiseCovDiag,
                 double measurementNoiseCovDiag,
                 @opencv_core.Ptr
                 opencv_tracking.UkfSystemModel dynamicalSystem)

Overrides:

init in class opencv_tracking.UnscentedKalmanFilterParams