TY - GEN
T1 - Tracking of coordinated groups using marginalised MCMC-based particle algorithm
AU - Septier, François
AU - Pang, Sze Kim
AU - Godsill, Simon
AU - Carmi, Avishy
PY - 2009/9/21
Y1 - 2009/9/21
N2 - In this paper, we address the problem of detection and tracking of group and individual targets. In particular, we focus on a group model with a virtual leader which models the bulk or group parameter. To perform the sequential inference, we propose a Markov Chain Monte Carlo (MCMC)-based Particle algorithm with a marginalisation scheme using pairwise Kalman filters. Numerical simulations illustrate the ability of the algorithm to detect and track targets within groups, as well as infer both the correct group structure and the number of targets over time.
AB - In this paper, we address the problem of detection and tracking of group and individual targets. In particular, we focus on a group model with a virtual leader which models the bulk or group parameter. To perform the sequential inference, we propose a Markov Chain Monte Carlo (MCMC)-based Particle algorithm with a marginalisation scheme using pairwise Kalman filters. Numerical simulations illustrate the ability of the algorithm to detect and track targets within groups, as well as infer both the correct group structure and the number of targets over time.
UR - http://www.scopus.com/inward/record.url?scp=70349121777&partnerID=8YFLogxK
U2 - 10.1109/AERO.2009.4839491
DO - 10.1109/AERO.2009.4839491
M3 - Conference contribution
AN - SCOPUS:70349121777
SN - 9781424426225
T3 - IEEE Aerospace Conference Proceedings
BT - 2009 IEEE Aerospace Conference
T2 - 2009 IEEE Aerospace Conference
Y2 - 7 March 2009 through 14 March 2009
ER -