GMPHDLinear2DTargetNoIdFilter.h File Reference

This file provides the gaussian mixture implementation of the PHD filter for tracking of multiple objects in a 2D world. The model used in the filter is a linear model. The state of the single target is a vector of n elements. The Ids of the targets are not part of the state. The filter is tested for 2-dimensional state vectors, but in principle should for the generic n-dimensional case. The limitation to the 2D scenario is due to the imput class that takes a classical 2D input, that is positions and odometry of all of all the robots. More...

#include <Spaces.h>
#include <GaussianMixture.h>
#include "PHDFilter.h"

Go to the source code of this file.

Namespaces
namespace	MipAlgorithms
Classes
class	MipAlgorithms::GMPHDLinear2DTargetNoIdFilterPars
	Provides a standard class for the parameters of a PHD filter for tracking of multiple objects in a 2D world. More...
class	MipAlgorithms::GMPHDLinear2DTargetNoIdFilterVars
	Provides a standard class for the variables of a PHD filter for tracking of multiple objects in a 2D world. More...
class	MipAlgorithms::GMPHDLinear2DTargetNoIdFilter
	Provides an abstract standard class for a PHD filter for tracking of multiple objects in a 2D world. More...

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Detailed Description

This file provides the gaussian mixture implementation of the PHD filter for tracking of multiple objects in a 2D world. The model used in the filter is a linear model. The state of the single target is a vector of n elements. The Ids of the targets are not part of the state. The filter is tested for 2-dimensional state vectors, but in principle should for the generic n-dimensional case. The limitation to the 2D scenario is due to the imput class that takes a classical 2D input, that is positions and odometry of all of all the robots.

Author:

Paolo Stegagno