de.unihalle.informatik.MiToBo.tracking.multitarget.distributions.abstracts

Class AbstractMultiObservationDistribution<S extends Copyable<?>,T extends Copyable<?>>

java.lang.Object

de.unihalle.informatik.MiToBo.tracking.multitarget.distributions.abstracts.AbstractMultiObservationDistribution<S,T>

Type Parameters:

S - Type of discrete variables in the multi target observation

T - Type of discrete variables in the multi target state

All Implemented Interfaces:

ConditionalDistribution<AbstractMultiState<T>>, EvaluatableDistribution<AbstractMultiState<S>>, LogEvaluatableDistribution<AbstractMultiState<S>>

Direct Known Subclasses:

AbstractMultiObservationDistributionIndep

public abstract class AbstractMultiObservationDistribution<S extends Copyable<?>,T extends Copyable<?>>
extends Object
implements EvaluatableDistribution<AbstractMultiState<S>>, LogEvaluatableDistribution<AbstractMultiState<S>>, ConditionalDistribution<AbstractMultiState<T>>

Abstract class for multi target observation distributions. Used in the Bayesian tracking framework. A distribution of this type represents the probability of a multi target observation given a certain multi target state X: p(Z|X)

Author:

Oliver Gress

Field Summary

Fields

Modifier and Type	Field and Description
protected AbstractMultiState<T>	condX multi state condition on the density
protected AbstractMultiStateFactory<T>	factoryX multi state factory for condition variable, used for validity checks
protected AbstractMultiStateFactory<S>	factoryZ multi state factory for observation variable, used for validity checks

Constructor Summary

Constructors

Constructor and Description
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

Method Summary

Modifier and Type	Method and Description
AbstractMultiState<T>	getCondition() Get conditional variable
abstract double	log_p(AbstractMultiState<S> Z) Evaluate natural logarithm of p(X) at location x. log(P(X=x))
abstract double	p(AbstractMultiState<S> Z) Evaluate p(X) at location x.
void	setCondition(AbstractMultiState<T> X) Set the conditional variable

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Field Detail

condX

protected AbstractMultiState<T extends Copyable<?>> condX

multi state condition on the density

factoryX

protected AbstractMultiStateFactory<T extends Copyable<?>> factoryX

multi state factory for condition variable, used for validity checks

factoryZ

protected AbstractMultiStateFactory<S extends Copyable<?>> factoryZ

multi state factory for observation variable, used for validity checks

Constructor Detail

AbstractMultiObservationDistribution

public 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

Parameters:

conditionX -

factoryX -

factoryZ -

Method Detail

getCondition

public AbstractMultiState<T> getCondition()

Description copied from interface: ConditionalDistribution

Get conditional variable

Specified by:

getCondition in interface ConditionalDistribution<AbstractMultiState<T extends Copyable<?>>>

Returns:

object which specifies the condition

setCondition

public void setCondition(AbstractMultiState<T> X)
                  throws IllegalArgumentException

Description copied from interface: ConditionalDistribution

Set the conditional variable

Specified by:

setCondition in interface ConditionalDistribution<AbstractMultiState<T extends Copyable<?>>>

Parameters:

X - conditional variable

Throws:

IllegalArgumentException

p

public abstract double p(AbstractMultiState<S> Z)

Description copied from interface: EvaluatableDistribution

Evaluate p(X) at location x. P(X=x)

Specified by:

p in interface EvaluatableDistribution<AbstractMultiState<S extends Copyable<?>>>

Parameters:

Z - realization of random variable X

Returns:

value of p(X) at x

log_p

public abstract double log_p(AbstractMultiState<S> Z)

Description copied from interface: LogEvaluatableDistribution

Evaluate natural logarithm of p(X) at location x. log(P(X=x))

Specified by:

log_p in interface LogEvaluatableDistribution<AbstractMultiState<S extends Copyable<?>>>

Parameters:

Z - realization of random variable X

Returns:

value of log(p(X)) at x