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

Packages that use AbstractMultiObservationDistributionIndep
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
 AbstractMultiObservationDistributionIndep<T,T> MultiTargetPredictionFilterIndep.getObservationDistribution()
           
 AbstractMultiObservationDistributionIndep<MotionModelID,MotionModelID> MultiTargetIMMFilter.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
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
 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
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
 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
 void AssociationDistributionNN.setNewObservations(AbstractMultiState<S> Z, AbstractMultiObservationDistributionIndep<S,T> observationDistrib)
           
 void AssociationDistribution.setNewObservations(AbstractMultiState<S> Z, AbstractMultiObservationDistributionIndep<S,T> observationDistrib)
           
 

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



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