Particle-systems implementation of the PHD multitarget-tracking filter

Keywords

Resampling, Particle filter, Auxiliary particle filter, Computer science, Probability density function

References

• A Branching Particle-based Nonlinear Filter for Multi-target TrackingD. Ballantyne, Hubert Y. Chan, Michael A. Kouritzin — 2001
• A hybrid bootstrap filter for target tracking in clutterNeil Gordon — 1995
• Joint tracking, pose estimation, and identification using HRRR dataRonald Mahler, Constantino Rago, Tim Zajic — 2000
• Joint tracking and identification with robustness against unmodeled targetsTim Zajic, Ravi B. Ravichandran, Ronald Mahler — 2003
• Bulk multitarget tracking using a first-order multitarget moment filterRonald Mahler, Tim Zajic — 2002
• Extended first-order Bayes filter for force aggregationRonald Mahler — 2002
• A Bayesian approach to tracking multiple targets using sensor arrays and particle filtersMatthew Orton, WJ Fitzgerald — 2002
• Sequential Monte Carlo methods for multiple target tracking and data fusionCarine Hue, J.-P. Le Cadre, Patrick Pérez — 2002
• A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian trackingM.S. Arulampalam, Simon Maskell, Neil Gordon — 2002
• Particle Filters - A Theoretical PerspectiveD. Crisan — 2001
• Improving Regularised Particle FiltersC. Musso, N. Oudjane, F. Gland — 2001

Cited by

• Stochastic models and methods for multi-object trackingMichele Pace — 2011
• Fundamentals of Object TrackingSubhash Challa, Mark R. Morelande, Darko Mušicki — 2011
• Particle Filters for Random Set ModelsBranko Ristić — 2013
• Multiple target tracking with the probability hypothesis density filterDaniel Edward Clark — 2006
• Adaptive visual target detection and tracking using weakly supervised incremental appearance learning and RGM-PHD trackerMahdi Yazdian‐Dehkordi, Zohreh Azimifar — 2016
• Suivi et classification d'objets multiples : contributions avec la théorie des fonctions de croyanceSamir Hachour — 2015
• Performance Analysis of Sequential Monte Carlo MCMC and PHD Filters on Multi-target Tracking in VideoAbdullahi Daniyan — 2014
• Nonlinear Filtering Algorithms for Multitarget TrackingK. Punithakumar — 2007
• The multiple model labeled multi-Bernoulli filterStephan Reuter, Alexander Scheel, Klaus Dietmayer — 2015
• Competitive Gaussian mixture probability hypothesis density filter for multiple target tracking in the presence of ambiguity and occlusionMahdi Yazdian‐Dehkordi, Zohreh Azimifar, M.A. Masnadi-Shirazi — 2012
• A probability hypothesis density-based multitarget tracker using multiple bistatic range and velocity measurementsM. Tobias, Aaron D. Lanterman — 2004
• GM-PHD Filter Combined with Track-Estimate Association and Numerical InterpolationJinguang Chen, Bugao Xu, Lili Ma — 2015
• PHD Filtering with target amplitude featureDaniel E. Clark, Branko Ristić, Ba‐Ngu Vo — 2008
• Gaussian mixture PHD filtering with variable probability of detectionGustaf Hendeby, Rickard Karlsson — 2014
• Multisensor particle filter cloud fusion for multitarget trackingDaniel Danu, T. Kirubarajan, Thomas Lang — 2008
• Box-particle PHD filter for multi-target trackingMarek Schikora, Amadou Gning, Lyudmila Mihaylova — 2012
• Global space-time association for Probability Hypothesis Density filterXi Shi, Feng Yang, Yan Liang — 2013
• The Labeled Multi-Bernoulli FilterStephan Reuter, Ba-Tuong Vo, Ba‐Ngu Vo — 2014
• Cooperative Multi-sensor Multi-vehicle Localization in Vehicular Adhoc NetworksSepideh Afkhami Goli, Behrouz H. Far, Abraham O. Fapojuwo — 2015
• Probability hypothesis density filtering for real-time traffic state estimation and predictionMatthieu Canaud, ,Université de Lyon, F-69000, Lyon, Lyudmila Mihaylova — 2013

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