Uses of Class
de.unihalle.informatik.MiToBo.math.distributions.impl.GaussMixDistribution

Packages that use GaussMixDistribution
de.unihalle.informatik.MiToBo.math.distributions.impl   
de.unihalle.informatik.MiToBo.tracking.multitarget.algo   
de.unihalle.informatik.MiToBo.tracking.multitarget.distributions.impl   
 

Uses of GaussMixDistribution in de.unihalle.informatik.MiToBo.math.distributions.impl
 

Methods in de.unihalle.informatik.MiToBo.math.distributions.impl that return GaussMixDistribution
 GaussMixDistribution GaussMixDistribution.copy()
           
 

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

Fields in de.unihalle.informatik.MiToBo.tracking.multitarget.algo declared as GaussMixDistribution
protected  GaussMixDistribution MultiTargetIMMFilter.newbornStateDistrib
           
 

Fields in de.unihalle.informatik.MiToBo.tracking.multitarget.algo with type parameters of type GaussMixDistribution
protected  Vector<GaussMixDistribution> MultiTargetIMMFilter.pobs
          observation distribution: independent Gaussian mixtures for each target
protected  Vector<GaussMixDistribution> MultiTargetIMMFilter.pstate
          state distribution: independent Gaussian mixtures for each target
 

Constructors in de.unihalle.informatik.MiToBo.tracking.multitarget.algo with parameters of type GaussMixDistribution
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.
 

Constructor parameters in de.unihalle.informatik.MiToBo.tracking.multitarget.algo with type arguments of type GaussMixDistribution
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.
 

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

Fields in de.unihalle.informatik.MiToBo.tracking.multitarget.distributions.impl with type parameters of type GaussMixDistribution
protected  Vector<GaussMixDistribution> MultiObsDistributionIndepGaussMix.gaussmixtures
           
 

Methods in de.unihalle.informatik.MiToBo.tracking.multitarget.distributions.impl that return GaussMixDistribution
 GaussMixDistribution MultiObsDistributionIndepGaussMix.getGaussMixture(int i)
           
 

Constructor parameters in de.unihalle.informatik.MiToBo.tracking.multitarget.distributions.impl with type arguments of type GaussMixDistribution
MultiObsDistributionIndepGaussMix(Random rand, Jama.Matrix H, Vector<GaussMixDistribution> obsDistGaussMixtures, AbstractMultiState<T> X, AbstractMultiStateFactory<T> factoryX, AbstractMultiStateFactory<T> factoryZ)
           
 



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