Title :
Particle filtering for multi-target tracking and sensor management
Author :
Doucet, Arnaud ; Vo, Ba-Ngu ; Andrieu, Christophe ; Davy, Manuel
Author_Institution :
Dept. of Electr. & Electron. Eng., Univ. of Melbourne, Vic., Australia
Abstract :
In this paper, we present computational methods based on particle filters to address the multi-target tracking and sensor management problems. We present a jump Markov model of multi-target systems and an efficient particle filtering algorithm to perform inference. In addition, we also present a formulation of the sensor management problem and its solution using particle methods.
Keywords :
Markov processes; filtering theory; sensor fusion; target tracking; inference; jump Markov model; multi-target tracking; particle filtering; sensor management; Engineering management; Filtering algorithms; Nonlinear dynamical systems; Optimal control; Particle filters; Particle tracking; Sensor fusion; Sensor systems; State estimation; Target tracking;
Conference_Titel :
Information Fusion, 2002. Proceedings of the Fifth International Conference on
Conference_Location :
Annapolis, MD, USA
Print_ISBN :
0-9721844-1-4
DOI :
10.1109/ICIF.2002.1021192
