Generalizations of the auxiliary particle filter for multiple target tracking

Author

Ubeda-Medina, Luis ; Garcia-Fernandez, Angel F. ; Grajal, Jesus

Author_Institution

Dipt. Senales, Sist. y Radiocomun., Univ. Politec. de Madrid, Madrid, Spain

fYear

2014

fDate

7-10 July 2014

Firstpage

1

Lastpage

8

Abstract

This paper introduces two generalizations of the celebrated auxiliary particle filter for multiple target tracking. The inherent difficulty of this problem is caused by the sampling of a high dimension state space, giving rise to the curse of dimensionality, which pulls down the performance of direct generalizations of single target particle filter algorithms. The two proposed particle filters are tested in a demanding multiple target scenario, exhibiting a considerable performance improvement with respect to previously reported algorithms of this type for multiple target tracking.

Keywords

particle filtering (numerical methods); signal sampling; target tracking; auxiliary particle filter generalizations; curse of dimensionality; high dimension state space sampling; multiple target tracking; single target particle filter algorithms; Approximation methods; Equations; IP networks; Indexes; Monte Carlo methods; Target tracking; Time measurement; Particle filters; auxiliary parallel partition method; multiple target tracking;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Fusion (FUSION), 2014 17th International Conference on

Conference_Location

Salamanca

Type

conf

Filename

6916102