Uses of Class
de.unihalle.informatik.MiToBo.tracking.multitarget.datatypes.abstracts.AbstractMultiStateFactory

Packages that use AbstractMultiStateFactory
de.unihalle.informatik.MiToBo.tracking.multitarget.algo   
de.unihalle.informatik.MiToBo.tracking.multitarget.datatypes.abstracts   
de.unihalle.informatik.MiToBo.tracking.multitarget.datatypes.impl   
de.unihalle.informatik.MiToBo.tracking.multitarget.distributions.abstracts   
de.unihalle.informatik.MiToBo.tracking.multitarget.distributions.impl   
 

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

Fields in de.unihalle.informatik.MiToBo.tracking.multitarget.algo declared as AbstractMultiStateFactory
protected  AbstractMultiStateFactory<MotionModelID> MultiTargetIMMFilter.factoryX
           
protected  AbstractMultiStateFactory<MotionModelID> MultiTargetIMMFilter.factoryZ
           
 

Constructors in de.unihalle.informatik.MiToBo.tracking.multitarget.algo with parameters of type AbstractMultiStateFactory
MultiTargetIMMFilter(Vector<GaussMixDistribution> initialStateDistrib, LinearTransformGaussNoise observationModel, LinearTransformGaussNoise[] dynamicsModels, Jama.Matrix markov, double delta_t, ExponentialDistribution targetDeathDistrib, GaussMixDistribution newbornStateDistrib, Jama.Matrix stateFromObs, AbstractMultiStateFactory<MotionModelID> factoryX, AbstractMultiStateFactory<MotionModelID> factoryZ)
          Constructor that initializes the internal random generator with seed 1.
MultiTargetIMMFilter(Vector<GaussMixDistribution> initialStateDistrib, LinearTransformGaussNoise observationModel, LinearTransformGaussNoise[] dynamicsModels, Jama.Matrix markov, double delta_t, ExponentialDistribution targetDeathDistrib, GaussMixDistribution newbornStateDistrib, Jama.Matrix stateFromObs, AbstractMultiStateFactory<MotionModelID> factoryX, AbstractMultiStateFactory<MotionModelID> factoryZ)
          Constructor that initializes the internal random generator with seed 1.
MultiTargetIMMFilter(Vector<GaussMixDistribution> initialStateDistrib, LinearTransformGaussNoise observationModel, LinearTransformGaussNoise[] dynamicsModels, Jama.Matrix markov, double delta_t, ExponentialDistribution targetDeathDistrib, GaussMixDistribution newbornStateDistrib, Jama.Matrix stateFromObs, AbstractMultiStateFactory<MotionModelID> factoryX, AbstractMultiStateFactory<MotionModelID> factoryZ, Random rand)
          Constructor.
MultiTargetIMMFilter(Vector<GaussMixDistribution> initialStateDistrib, LinearTransformGaussNoise observationModel, LinearTransformGaussNoise[] dynamicsModels, Jama.Matrix markov, double delta_t, ExponentialDistribution targetDeathDistrib, GaussMixDistribution newbornStateDistrib, Jama.Matrix stateFromObs, AbstractMultiStateFactory<MotionModelID> factoryX, AbstractMultiStateFactory<MotionModelID> factoryZ, Random rand)
          Constructor.
 

Uses of AbstractMultiStateFactory in de.unihalle.informatik.MiToBo.tracking.multitarget.datatypes.abstracts
 

Fields in de.unihalle.informatik.MiToBo.tracking.multitarget.datatypes.abstracts declared as AbstractMultiStateFactory
protected  AbstractMultiStateFactory<T> AbstractMultiState.factory
          factory that holds information how a target's state is composed
 

Methods in de.unihalle.informatik.MiToBo.tracking.multitarget.datatypes.abstracts that return AbstractMultiStateFactory
 AbstractMultiStateFactory<T> AbstractMultiState.getFactory()
          Get associated factory
 

Constructors in de.unihalle.informatik.MiToBo.tracking.multitarget.datatypes.abstracts with parameters of type AbstractMultiStateFactory
AbstractMultiState(AbstractMultiStateFactory<T> factory)
          Constructor that assigns a factory
 

Uses of AbstractMultiStateFactory in de.unihalle.informatik.MiToBo.tracking.multitarget.datatypes.impl
 

Subclasses of AbstractMultiStateFactory in de.unihalle.informatik.MiToBo.tracking.multitarget.datatypes.impl
 class MultiStateFactory<T extends Copyable<?>>
          Multi-target state factory implementation.
 

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

Fields in de.unihalle.informatik.MiToBo.tracking.multitarget.distributions.abstracts declared as AbstractMultiStateFactory
protected  AbstractMultiStateFactory<T> AbstractMultiStateTransitionDistribution.factoryX
          multi state factory for condition variable, used for validity checks
protected  AbstractMultiStateFactory<T> AbstractMultiObservationDistribution.factoryX
          multi state factory for condition variable, used for validity checks
protected  AbstractMultiStateFactory<S> AbstractMultiObservationDistribution.factoryZ
          multi state factory for observation variable, used for validity checks
 

Constructors in de.unihalle.informatik.MiToBo.tracking.multitarget.distributions.abstracts with parameters of type AbstractMultiStateFactory
AbstractMultiObservationDistribution(AbstractMultiState<T> conditionX, AbstractMultiStateFactory<T> factoryX, AbstractMultiStateFactory<S> factoryZ)
          Constructor to set the condition conditionX, and the factories of multi state and multi observation variables
AbstractMultiObservationDistribution(AbstractMultiState<T> conditionX, AbstractMultiStateFactory<T> factoryX, AbstractMultiStateFactory<S> factoryZ)
          Constructor to set the condition conditionX, and the factories of multi state and multi observation variables
AbstractMultiObservationDistributionIndep(AbstractMultiState<T> conditionX, AbstractMultiStateFactory<T> factoryX, AbstractMultiStateFactory<S> factoryZ)
          Constructor to set the condition conditionX, and the factories of multi state and multi observation variables
AbstractMultiObservationDistributionIndep(AbstractMultiState<T> conditionX, AbstractMultiStateFactory<T> factoryX, AbstractMultiStateFactory<S> factoryZ)
          Constructor to set the condition conditionX, and the factories of multi state and multi observation variables
AbstractMultiStateTransitionDistribution(AbstractMultiState<T> X, AbstractMultiStateFactory<T> factoryX)
          Constructor to set the condition X, and the factories of multi state and multi observation variables
AbstractMultiStateTransitionDistributionIndep(AbstractMultiState<T> X, AbstractMultiStateFactory<T> factoryX)
           
 

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

Constructors in de.unihalle.informatik.MiToBo.tracking.multitarget.distributions.impl with parameters of type AbstractMultiStateFactory
MultiObsDistributionIndepGaussians(Random rand, Jama.Matrix[] H, Jama.Matrix[] R, AbstractMultiState<T> X, AbstractMultiStateFactory<T> factoryX, AbstractMultiStateFactory<T> factoryZ)
           
MultiObsDistributionIndepGaussians(Random rand, Jama.Matrix[] H, Jama.Matrix[] R, AbstractMultiState<T> X, AbstractMultiStateFactory<T> factoryX, AbstractMultiStateFactory<T> factoryZ)
           
MultiObsDistributionIndepGaussians(Random rand, Jama.Matrix[] H, Jama.Matrix[] R, MultiStateDistributionIndepGaussians<T> distribX, AbstractMultiStateFactory<T> factoryX, AbstractMultiStateFactory<T> factoryZ)
           
MultiObsDistributionIndepGaussians(Random rand, Jama.Matrix[] H, Jama.Matrix[] R, MultiStateDistributionIndepGaussians<T> distribX, AbstractMultiStateFactory<T> factoryX, AbstractMultiStateFactory<T> factoryZ)
           
MultiObsDistributionIndepGaussians(Random rand, Jama.Matrix[] H, Jama.Matrix[] R, MultiStateLinTransDistributionIndepGaussians<T> transdistribX, AbstractMultiStateFactory<T> factoryX, AbstractMultiStateFactory<T> factoryZ)
           
MultiObsDistributionIndepGaussians(Random rand, Jama.Matrix[] H, Jama.Matrix[] R, MultiStateLinTransDistributionIndepGaussians<T> transdistribX, AbstractMultiStateFactory<T> factoryX, AbstractMultiStateFactory<T> factoryZ)
           
MultiObsDistributionIndepGaussians(Random rand, Jama.Matrix H, Jama.Matrix R, AbstractMultiState<T> X, AbstractMultiStateFactory<T> factoryX, AbstractMultiStateFactory<T> factoryZ)
           
MultiObsDistributionIndepGaussians(Random rand, Jama.Matrix H, Jama.Matrix R, AbstractMultiState<T> X, AbstractMultiStateFactory<T> factoryX, AbstractMultiStateFactory<T> factoryZ)
           
MultiObsDistributionIndepGaussians(Random rand, Jama.Matrix H, Jama.Matrix R, MultiStateDistributionIndepGaussians<T> distribX, AbstractMultiStateFactory<T> factoryX, AbstractMultiStateFactory<T> factoryZ)
           
MultiObsDistributionIndepGaussians(Random rand, Jama.Matrix H, Jama.Matrix R, MultiStateDistributionIndepGaussians<T> distribX, AbstractMultiStateFactory<T> factoryX, AbstractMultiStateFactory<T> factoryZ)
           
MultiObsDistributionIndepGaussians(Random rand, Jama.Matrix H, Jama.Matrix R, MultiStateLinTransDistributionIndepGaussians<T> transdistribX, AbstractMultiStateFactory<T> factoryX, AbstractMultiStateFactory<T> factoryZ)
           
MultiObsDistributionIndepGaussians(Random rand, Jama.Matrix H, Jama.Matrix R, MultiStateLinTransDistributionIndepGaussians<T> transdistribX, AbstractMultiStateFactory<T> factoryX, AbstractMultiStateFactory<T> factoryZ)
           
MultiObsDistributionIndepGaussMix(Random rand, Jama.Matrix H, Vector<GaussMixDistribution> obsDistGaussMixtures, AbstractMultiState<T> X, AbstractMultiStateFactory<T> factoryX, AbstractMultiStateFactory<T> factoryZ)
           
MultiObsDistributionIndepGaussMix(Random rand, Jama.Matrix H, Vector<GaussMixDistribution> obsDistGaussMixtures, AbstractMultiState<T> X, AbstractMultiStateFactory<T> factoryX, AbstractMultiStateFactory<T> factoryZ)
           
MultiStateLinTransDistributionIndepGaussians(Random rand, Jama.Matrix[] F, Jama.Matrix[] Q, AbstractMultiState<T> X, AbstractMultiStateFactory<T> factoryX)
           
MultiStateLinTransDistributionIndepGaussians(Random rand, Jama.Matrix[] F, Jama.Matrix[] Q, MultiStateDistributionIndepGaussians<T> distribX, AbstractMultiStateFactory<T> factoryX)
           
MultiStateLinTransDistributionIndepGaussians(Random rand, Jama.Matrix F, Jama.Matrix Q, AbstractMultiState<T> X, AbstractMultiStateFactory<T> factoryX)
           
MultiStateLinTransDistributionIndepGaussians(Random rand, Jama.Matrix F, Jama.Matrix Q, MultiStateDistributionIndepGaussians<T> distribX, AbstractMultiStateFactory<T> factoryX)
           
 



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