Labeled Random Finite Sets and Multi-Object Conjugate Priors

QR Code

Labeled Random Finite Sets and Multi-Object Conjugate Priors

The objective of multi-object estimation is to simultaneously estimate the number of objects and their states from a set of observations in the presence of data association uncertainty, detection uncertainty, false observations, and noise. This estimation problem can be formulated in a Bayesian fram...

Full description

Bibliographic Details
Main Authors:	Vo, Ba Tuong, Vo, Ba-Ngu
Format:	Journal Article
Published:	Institute of Electrical and Electronics Engineers 2013
Online Access:	http://hdl.handle.net/20.500.11937/24008

Similar Items

A random finite set conjugate prior and application to multi-target tracking
by: Vo, Ba Tuong, et al.
Published: (2011)

A Multi-Scan Labeled Random Finite Set Model for Multi-Object State Estimation
by: Vo, Ba-Ngu, et al.
Published: (2019)

Multi-Object Tracking Using Labeled Multi-Bernoulli Random Finite Sets
by: Reuter, S., et al.
Published: (2014)

A labeled random finite set online multi-object tracker for video data
by: Kim, Du Yong, et al.
Published: (2019)

Labeled Random Finite Sets and the Bayes Multi-Target Tracking Filter
by: Vo, Ba-Ngu, et al.
Published: (2014)

Multi-target tracking with merged measurements using labelled random finite sets
by: Beard, Michael, et al.
Published: (2014)

Bayesian multi-target tracking with merged measurements using labelled random finite sets
by: Beard, M., et al.
Published: (2015)

Multi-target Track-Before-Detect using labeled random finite set
by: Papi, F., et al.
Published: (2013)

A labeled random finite set spawning model
by: Bryant, D., et al.
Published: (2017)

Multiple object tracking in unknown backgrounds with labeled random finite sets
by: Punchihewa, Y., et al.
Published: (2018)

Tracking, Identification and Classification of Random Finite Sets
by: Vo, Ba Tuong, et al.
Published: (2013)

Multiple Extended Target Tracking With Labeled Random Finite Sets
by: Beard, M., et al.
Published: (2016)

Tracking Cells and Their Lineages Via Labeled Random Finite Sets
by: Nguyen, Tran Thien Dat, et al.
Published: (2021)

Bayesian Filtering With Random Finite Set Observations
by: Vo, Ba Tuong, et al.
Published: (2008)

Multi-Sensor Multi-Object Tracking with the Generalized Labeled Multi-Bernoulli Filter
by: Vo, Ba-Ngu, et al.
Published: (2019)

Sensor Control for Multi-Object State-Space Estimation Using Random Finite Sets
by: Ristic, B., et al.
Published: (2010)

Generalized labeled multi-Bernoulli space-object tracking with joint prediction and update
by: Jones, B., et al.
Published: (2016)

Multi-Scan Generalized Labeled Multi-Bernoulli Filter
by: Vo, Ba Tuong, et al.
Published: (2018)

Blind Separation for Multiple Moving Sources with Labeled Random Finite Sets
by: Ong, Jonah, et al.
Published: (2021)

A generalized labeled multi-bernoulli filter with object spawning
by: Bryant, D., et al.
Published: (2018)

Mobile Robotics in a Random Finite Set Framework
by: Mullane, J., et al.
Published: (2014)

A Random-Finite-Set Approach to Bayesian SLAM
by: Mullane, J., et al.
Published: (2011)

Random finite set multi-target trackers: Stochastic geometry for space situational awareness
by: Vo, Ba Tuong, et al.
Published: (2015)

An implementation of the multi-sensor generalized labeled multi-Bernoulli filter via Gibbs sampling
by: Vo, Ba-Ngu, et al.
Published: (2017)

The Labeled Multi-Bernoulli Filter
by: Reuter, S., et al.
Published: (2014)

Error Bounds for Joint Detection and Estimation of a Single Object With Random Finite Set Observation
by: Rezaeian, M., et al.
Published: (2010)

Why random finite sets?
by: Mullane, J., et al.
Published: (2011)

Estimation with random finite sets
by: Mullane, J., et al.
Published: (2011)

Generalised labelled multi-Bernoulli forward-backward smoothing
by: Beard, M., et al.
Published: (2016)

Random Finite Sets for Robot Mapping and SLAM: New Concepts in Autonomous Robotic Map Representations
by: Mullane, J., et al.
Published: (2011)

A Generalized Labeled Multi-Bernoulli filter for maneuvering targets
by: Punchihewa, Y., et al.
Published: (2016)

A random finite set model for data clustering
by: Phung, D., et al.
Published: (2014)

A fast implementation of the generalized labeled multi-Bernoulli filter with joint prediction and update
by: Hoang, H., et al.
Published: (2015)

A Solution for Large-Scale Multi-Object Tracking
by: Beard, Michael, et al.
Published: (2020)

Multi-object particle filter revisited
by: Kim, Du Yong, et al.
Published: (2017)

Void Probabilities and Cauchy-Schwarz Divergence for Generalized Labeled Multi-Bernoulli Models
by: Beard, Michael, et al.
Published: (2017)

A Consistent Metric for Performance Evaluation of Multi-Object Filters
by: Schuhmacher, D., et al.
Published: (2008)

Bayesian Multi-Object Filtering With Amplitude Feature Likelihood for Unknown Object SNR
by: Clark, D., et al.
Published: (2010)

A generalised labelled multi-Bernoulli filter for extended multi-target tracking
by: Beard, M., et al.
Published: (2015)

Generalized Labeled Multi-Bernoulli Approximation of Multi-Object Densities
by: Papi, Francesco, et al.
Published: (2015)

Cannot write session to /tmp/vufind_sessions/sess_4rhdcnknugr68ved5fl54ka5hs