Particle Filters for Random Set Models

Summary

This bookdiscusses state estimation of stochastic dynamic systems from noisy measurements, specifically sequential Bayesian estimation and nonlinear or Stochastic filtering and is based on the Monte Carlo statistical method.

Keywords

Particle filter, Computer science, Set (abstract data type), Bayesian probability, Class (philosophy)

References

Statistical Multisource-Multitarget Information FusionRonald Mahler — 2007
Using Search Engine Query Data to Track Pharmaceutical Utilization: A Study of StatinsNathaniel M. Schuster, Mary A.M. Rogers, Laurence F. McMahon — 2010
Mathematics of Data FusionI. R. Goodman, Ronald Mahler, Hung T. Nguyen — 1997
Comparison of an Agent-based Model of Disease Propagation with the Generalised SIR Epidemic ModelRussell Connell, Peter Dawson, Alex Skvortsov — 2009
Particle Markov chain Monte Carlo methodsChristophe Andrieu, Arnaud Doucet, Roman Holenstein — 2010
Introduction to the Box Particle FilteringAmadou Gning, Branko Ristić, Lyudmila Mihaylova — 2013
Detecting influenza outbreaks by analyzing Twitter messagesAron Culotta — 2010
Beyond the Kalman Filter: Particle Filters for Tracking ApplicationsBranko Ristić, Sanjeev Arulampalam, Neil Gordon — 2004
Multiple target tracking with Gaussian mixture PHD filter using passive acoustic Doppler-only measurementsMehmet B. Güldoǧan, David Lindgren, Fredrik Gustafsson — 2012
Foundations and Applications of Sensor ManagementAlfred O. Hero, David A Castan, D. Cochran — 2010
Pandemics in the Age of Twitter: Content Analysis of Tweets during the 2009 H1N1 OutbreakCynthia Chew, Gunther Eysenbach — 2010
Performance Assessment of Tracking SystemsS.B. Colegrove, Lois M. Davis, Samuel J. Davey — 1996
Analysis of target velocity and position estimation via doppler-shift measurementsIman Shames, Adrian N. Bishop, Matthew Smith — 2011
General solution for asynchronous sensors bias estimationYongqing Qi, Zhongliang Jing, Shiqiang Hu — 2008
Particle PHD filter multiple target tracking in sonar imageTaikyeong Jeong — 2007
Data fusion in the transferable belief modelP. Smets — 2000
Tracking cell motion using GM-PHDRadford Juang, Andre Levchenko, Philippe Burlina — 2009
Extended object filtering using spatial independent cluster processesAkshya Swain, Daniel E. Clark — 2010
Bayesian estimation with imprecise likelihoods in the framework of random set theoryBranko Ristić — 2011
Sequential Monte Carlo framework for extended object trackingJ. Vermaak, Norikazu Ikoma, Simon Godsill — 2005

Cited by

Scalable Multisensor Multitarget Tracking Using the Marginalized δ-GLMB DensityClaudio Fantacci, Ba-Tuong Vo, Francesco Papi — 2016
On multitarget pairwise-Markov modelsRonald Mahler — 2015
CPHD filters with unknown quadratic clutter generatorsRonald Mahler — 2015
Multi-Bernoulli sensor-selection for multi-target tracking with unknown clutter and detection profilesAmirali Khodadadian Gostar, Reza Hoseinnezhad, Alireza Bab‐Hadiashar — 2016
Multi-target tracking for multistatic sonobuoy systemsMark R. Morelande, Sofia Suvorova, Fiona Fletcher — 2015
Efficient update of persistent particles in the SMC-PHD filterBranko Ristić — 2015
The sequential Monte Carlo multi-Bernoulli filter for extended targetsMeiqin Liu, Tongyang Jiang, Senlin Zhang — 2015
Performance comparison of several nonlinear multi-Bernoulli filters for multi-target filteringMeiqin Liu, Tongyang Jiang, Xie Wang — 2014
Sensor Control for Selective Object Tracking Using Labeled Multi-Bernoulli FilterSabita Panicker, Amirali Khodadadian Gostar, Alireza Bab-Haidashar — 2018
Tracking “bunching” multitarget correlationsRonald Mahler — 2015
Multitarget detection and tracking in dynamic quadratic clutterRonald Mahler — 2014
Hierarchical framework for target motion analysis algorithmsDenis V. Stepanov, Sergey E. Novoselov, Igor E. Slipchyuck — 2014
Overview of Bayesian sequential Monte Carlo methods for group and extended object trackingLyudmila Mihaylova, Avishy Carmi, François Septier — 2014
MMOSPA-based track extraction in the PHD filter - a justification for k-means clusteringMarcus Baum, Peter Willett, Uwe D. Hanebeck — 2014
Multi-bernoulli sensor control via minimization of expected estimation errorsAmirali Khodadadian Gostar, Reza Hoseinnezhad, Alireza Bab‐Hadiashar — 2015
Labeled Random Finite Sets and the Bayes Multi-Target Tracking FilterBa‐Ngu Vo, Ba-Tuong Vo, Dinh Phung — 2013
A brief survey of advances in random-set fusionRonald Mahler — 2015
OSPA-based sensor controlAmirali Khodadadian Gostar, Reza Hoseinnezhad, Alireza Bab‐Hadiashar — 2015
Joint underwater target detection and tracking with the Bernoulli filter using an acoustic vector sensorAhmet Güneş, Mehmet B. Güldoǧan — 2016
Distributed peer-to-peer multitarget tracking with association-based track fusionGiorgio Battistelli, Luigi Chisci, Claudio Fantacci — 2014

Related papers

Statistical Multisource-Multitarget Information FusionRonald Mahler — 2007
Beyond the Kalman Filter: Particle Filters for Tracking ApplicationsBranko Ristić, Sanjeev Arulampalam, Neil Gordon — 2004
A Consistent Metric for Performance Evaluation of Multi-Object FiltersDominic Schuhmacher, Ba-Tuong Vo, Ba‐Ngu Vo — 2008
Multitarget Bayes filtering via first-order multitarget momentsRonald Mahler — 2003
The Gaussian Mixture Probability Hypothesis Density FilterBa‐Ngu Vo, Wing‐Kin Ma — 2006
Advances in Statistical Multisource-Multitarget Information FusionRonald Mahler — 2014
The Cardinality Balanced Multi-Target Multi-Bernoulli Filter and Its ImplementationsBa-Tuong Vo, Ba‐Ngu Vo, A. Cantoni — 2009
Labeled Random Finite Sets and Multi-Object Conjugate PriorsBa-Tuong Vo, Ba‐Ngu Vo — 2013
PHD filters of higher order in target numberRonald Mahler — 2007
Analytic Implementations of the Cardinalized Probability Hypothesis Density FilterBa-Tuong Vo, Ba‐Ngu Vo, A. Cantoni — 2007