Rao-Blackwellized particle filter for multiple target tracking
Authors:
- Simo SärkkäSSSimo Särkkä
- Aki VehtariAVAki Vehtari
- Jouko LampinenJLJouko Lampinen
- 1 January 2007
- journal article
- Published by Elsevier in Information Fusion
- Vol. 8 (1) , 2-15
Abstract
No abstract availableThis publication has 16 references indexed in Scilit:
- Unscented Filtering and Nonlinear EstimationProceedings of the IEEE, 2004
- On-Line Inference for Hidden Markov Models via Particle FiltersJournal of the Royal Statistical Society Series B: Statistical Methodology, 2003
- Multi-target particle filtering for the probability hypothesis density2003
- Monte Carlo data association for multiple target tracking2001
- Sequential Monte Carlo Methods for Neural Networks2001
- Rao-Blackwellisation of sampling schemesBiometrika, 1996
- Monte Carlo Filter and Smoother for Non-Gaussian Nonlinear State Space ModelsJournal of Computational and Graphical Statistics, 1996
- Blind Deconvolution via Sequential ImputationsJournal of the American Statistical Association, 1995
- Novel approach to nonlinear/non-Gaussian Bayesian state estimationIEE Proceedings F Radar and Signal Processing, 1993
- Random sampling approach to state estimation in switching environmentsAutomatica, 1977