The Cauchy-Schwarz divergence for poisson point processes

QR Code

The Cauchy-Schwarz divergence for poisson point processes

Information theoretic divergences are fundamental tools used to measure the difference between the information conveyed by two random processes. In this paper, we show that the Cauchy-Schwarz divergence between two Poisson point processes is the half the squared L2-distance between their respective...

Full description

Bibliographic Details
Main Authors:	Hoang, Hung Gia, Vo, Ba-Ngu, Vo, Ba Tuong, Mahler, R.
Format:	Conference Paper
Published:	IEEE Computer Society 2014
Online Access:	http://hdl.handle.net/20.500.11937/14417

Similar Items

The Cauchy-Schwarz Divergence for Poisson Point Processes
by: Hung, G., et al.
Published: (2015)

Sensor control for multi-target tracking using Cauchy-Schwarz divergence
by: Beard, M., et al.
Published: (2015)

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

Sensor selection for multi-target tracking via closed form Cauchy-Schwarz divergence
by: Liu, Y., et al.
Published: (2015)

CPHD filtering with unknown clutter rate and detection profile
by: Mahler, R., et al.
Published: (2011)

Closed form solutions to forward-backward smoothing
by: Vo, Ba-Ngu, et al.
Published: (2012)

Forward-Backward Probability Hypothesis Density Smoothing
by: Mahler, R., et al.
Published: (2012)

CPHD Filtering With Unknown Clutter Rate and Detection Profile
by: Mahler, R., et al.
Published: (2011)

A stochastic geometric approach to sensor array processing
by: Vo, Ba-Ngu, et al.
Published: (2014)

Clustering for point pattern data
by: Tran, N., et al.
Published: (2017)

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

Multi-Bernoulli filtering with unknown clutter intensity and sensor field-of-view
by: Vo, Ba Tuong, et al.
Published: (2011)

Robust Multi-Bernoulli Filtering
by: Vo, Ba Tuong, et al.
Published: (2013)

Model-based classification and novelty detection for point pattern data
by: Vo, Ba Tuong, et al.
Published: (2017)

Sensor management for multi-target tracking via multi-bernoulli filtering
by: Hoang, Hung, et al.
Published: (2014)

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

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)

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

Labeled Random Finite Sets and Multi-Object Conjugate Priors
by: Vo, Ba Tuong, et al.
Published: (2013)

The para-normal Bayes multi-target filter and the spooky effect
by: Vo, Ba Tuong, et al.
Published: (2012)

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

Derivation of the PHD filter based on direct Kullback-Leibler divergence minimisation
by: García-Fernández, Ángel, et al.
Published: (2015)

Derivation of the PHD and CPHD Filters Based on Direct Kullback-Leibler Divergence Minimization
by: Garcia-Fernandez, Angel, et al.
Published: (2015)

Filters for Spatial point Processes
by: Singh, S., et al.
Published: (2009)

An improved CPHD filter for unknown clutter backgrounds
by: Mahler, R., et al.
Published: (2014)

Visual Tracking in Background Subtracted Image Sequences via Multi-Bernoulli Filtering
by: Hoseinnezhad, R., et al.
Published: (2013)

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

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

OSPA(2): Using the OSPA metric to evaluate multi-target tracking performance
by: Beard, Michael, et al.
Published: (2017)

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

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

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

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

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

Performance Evaluation for Large-Scale Multi-Target Tracking Algorithms
by: Beard, Michael, et al.
Published: (2018)

Multitarget Filtering With Unknown Clutter Density Using a Bootstrap GMCPHD Filter
by: Beard, Michael, et al.
Published: (2013)

The Cardinality Balanced Multi-Target Multi-Bernoulli Filter and Its Implementations
by: Vo, Ba Tuong, et al.
Published: (2009)

Data fusion in 3D vision using a RGB-D data via switching observation model and its application to people tracking
by: Kim, D., et al.
Published: (2013)

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