Brief Tracking of multiple maneuvering targets in clutter using IMM/JPDA filtering and fixed-lag smoothing

Authors:
Bing Chen;Jitendra K. Tugnait
Affiliations:
IBM Corp., East Fishkill Facility, 2A1 334, 1580 State Route 52, Hopewell Jct., NY 12533, USA;Department of Electrical & Computer Engineering, Auburn University, Auburn, AL 36849, USA
Venue:
Automatica (Journal of IFAC)
Year:
2001

Citing 4
Cited 3

Alternatives to Monte-Carlo simulation evaluations of two multisensor fusion algorithms

Automatica (Journal of IFAC)
Brief paper: Detection and estimation for abruptly changing systems

Automatica (Journal of IFAC)
Fixed-interval smoothing for Markovian switching systems

IEEE Transactions on Information Theory - Part 2
Time-reversion of a hybrid state stochastic difference system with a jump-linear smoothing application

IEEE Transactions on Information Theory

Exact Bayesian filter and joint IMM coupled PDA tracking of maneuvering targets from possibly missing and false measurements

Automatica (Journal of IFAC)
Smoothing innovations and data association with IPDA

Automatica (Journal of IFAC)
Application of the IMM-JPDA filter to multiple target tracking in total internal reflection fluorescence microscopy images

MICCAI'12 Proceedings of the 15th international conference on Medical Image Computing and Computer-Assisted Intervention - Volume Part I

Quantified Score

Hi-index	22.15

Visualization

Abstract

We consider the problem of tracking multiple maneuvering targets in clutter using switching multiple target motion models. A suboptimal filtering algorithm is developed by applying the basic interacting multiple model (IMM) approach and the joint probabilistic data association (JPDA) technique to a Markovian switching system. A suboptimal fixed-lag smoothing algorithm is developed by applying the IMM and the JPDA approaches to a state-augmented system. The algorithms are illustrated via a simulation example involving tracking of two highly maneuvering targets.