Uses of Class
de.unihalle.informatik.MiToBo.tracking.multitarget.distributions.abstracts.AbstractMultiObservationDistributionIndep

Packages that use AbstractMultiObservationDistributionIndep

Package	Description
de.unihalle.informatik.MiToBo.tracking.multitarget.algo
de.unihalle.informatik.MiToBo.tracking.multitarget.distributions.abstracts
de.unihalle.informatik.MiToBo.tracking.multitarget.distributions.impl

Uses of AbstractMultiObservationDistributionIndep in de.unihalle.informatik.MiToBo.tracking.multitarget.algo

Methods in de.unihalle.informatik.MiToBo.tracking.multitarget.algo that return AbstractMultiObservationDistributionIndep

Modifier and Type	Method and Description
AbstractMultiObservationDistributionIndep<MotionModelID,MotionModelID>	MultiTargetIMMFilter.getObservationDistribution()
AbstractMultiObservationDistributionIndep<T,T>	MultiTargetPredictionFilterIndep.getObservationDistribution()

Uses of AbstractMultiObservationDistributionIndep in de.unihalle.informatik.MiToBo.tracking.multitarget.distributions.abstracts

Fields in de.unihalle.informatik.MiToBo.tracking.multitarget.distributions.abstracts declared as AbstractMultiObservationDistributionIndep

Modifier and Type	Field and Description
protected AbstractMultiObservationDistributionIndep<S,T>	AbstractAssociationDistribution.obsdistrib observation/measurement likelihood P(z_m^t | c_m, Z^{1:t-1}, c_{1:m-1}

Methods in de.unihalle.informatik.MiToBo.tracking.multitarget.distributions.abstracts with parameters of type AbstractMultiObservationDistributionIndep

Modifier and Type	Method and Description
void	AbstractAssociationDistribution.setNewObservations(AbstractMultiState<S> Z, AbstractMultiObservationDistributionIndep<S,T> observationDistrib)

Constructors in de.unihalle.informatik.MiToBo.tracking.multitarget.distributions.abstracts with parameters of type AbstractMultiObservationDistributionIndep

Constructor and Description
AbstractAssociationDistribution(Random rand, AbstractMultiState<S> Z, AbstractMultiObservationDistributionIndep<S,T> observationDistrib, LogProbabilityDensityFunction spatialClutterDistrib, LogProbabilityDensityFunction spatialNewbornDistrib, DataAssociationFactory assocFactory) Constructor

Uses of AbstractMultiObservationDistributionIndep in de.unihalle.informatik.MiToBo.tracking.multitarget.distributions.impl

Subclasses of AbstractMultiObservationDistributionIndep in de.unihalle.informatik.MiToBo.tracking.multitarget.distributions.impl

Modifier and Type	Class and Description
class	MultiObsDistributionIndepGaussians<T extends Copyable<?>> A simple multi observation density, which assumes independence of the single observations with multivariate Gaussian noise.
class	MultiObsDistributionIndepGaussMix<T extends Copyable<?>> A simple multi observation density, which assumes independent Gaussian mixtures as the underlying distributions.

Methods in de.unihalle.informatik.MiToBo.tracking.multitarget.distributions.impl with parameters of type AbstractMultiObservationDistributionIndep

Modifier and Type	Method and Description
void	AssociationDistribution.setNewObservations(AbstractMultiState<S> Z, AbstractMultiObservationDistributionIndep<S,T> observationDistrib)
void	AssociationDistributionNN.setNewObservations(AbstractMultiState<S> Z, AbstractMultiObservationDistributionIndep<S,T> observationDistrib)

Constructors in de.unihalle.informatik.MiToBo.tracking.multitarget.distributions.impl with parameters of type AbstractMultiObservationDistributionIndep

Constructor and Description
AssociationDistribution(Random rand, AbstractMultiState<S> Z, AbstractMultiObservationDistributionIndep<S,T> observationDistrib, LogProbabilityDensityFunction spatialClutterDistrib, LogProbabilityDensityFunction spatialNewbornDistrib, LogProbabilityMassFunction mu, LogProbabilityMassFunction nu, double P_D) Constructor.
AssociationDistribution(Random rand, AbstractMultiState<S> Z, AbstractMultiObservationDistributionIndep<S,T> observationDistrib, LogProbabilityDensityFunction spatialClutterDistrib, LogProbabilityDensityFunction spatialNewbornDistrib, LogProbabilityMassFunction mu, LogProbabilityMassFunction nu, double P_D, int M_max) Constructor where the maximum number of observations in the time series is specified to avoid some re-computations.
AssociationDistributionNN(Random rand, AbstractMultiState<S> Z, AbstractMultiObservationDistributionIndep<S,T> observationDistrib, LogProbabilityDensityFunction spatialClutterDistrib, LogProbabilityDensityFunction spatialNewbornDistrib, LogProbabilityMassFunction mu, LogProbabilityMassFunction nu, double P_D, int maxNumNeighbors, double maxDistNeighbors) Constructor.
AssociationDistributionNN(Random rand, AbstractMultiState<S> Z, AbstractMultiObservationDistributionIndep<S,T> observationDistrib, LogProbabilityDensityFunction spatialClutterDistrib, LogProbabilityDensityFunction spatialNewbornDistrib, LogProbabilityMassFunction mu, LogProbabilityMassFunction nu, double P_D, int M_max, int maxNumNeighbors, double maxDistNeighbors) Constructor where the maximum number of observations in the time series is specified to avoid some re-computations.