Title :
Two-Layer Particle Filter for Multiple Target Detection and Tracking
Author :
Garcia-Fernandez, Angel F. ; Grajal, Jesus ; Morelande, Mark R.
Author_Institution :
Univ. Politec. de Madrid, Madrid, Spain
Abstract :
The detection and tracking of an unknown number of targets using a Bayesian hierarchical model with target labels is presented. To approximate the posterior probability density function (PDF), we develop a two-layer particle filter (PF). One deals with track initiation, and the other deals with track maintenance. In addition the parallel partition (PP) method is proposed to sample the states of the surviving targets.
Keywords :
Bayes methods; object detection; particle filtering (numerical methods); target tracking; Bayesian hierarchical model; multiple target detection; multiple target tracking; parallel partition method; posterior probability density function; two layer particle filter; Approximation methods; Bayes methods; Mathematical model; Probability density function; Signal to noise ratio; Target tracking; Vectors;
Journal_Title :
Aerospace and Electronic Systems, IEEE Transactions on
DOI :
10.1109/TAES.2013.6558005
