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Found 7 papers, 0 papers with code
To Coalesce or to Repel? An Analysis of MHT, JPDA, and Belief Propagation Multitarget Tracking Methods
Joint probabilistic data association (JPDA) filter methods and multiple hypothesis tracking (MHT) methods are widely used for multitarget tracking (MTT).
Fusion of Sensor Measurements and Target-Provided Information in Multitarget Tracking
Here, we develop a statistical model and algorithm for tracking an unknown number of targets based on the probabilistic fusion of observations from two classes of data sources.
An Efficient Labeled/Unlabeled Random Finite Set Algorithm for Multiobject Tracking
Only if a quantity characterizing the plausibility of object existence is above a threshold, a new labeled Bernoulli component is created and the object is tracked by the more accurate but more computationally demanding LMB part of the algorithm.
Classification-Aided Multitarget Tracking Using the Sum-Product Algorithm
Multitarget tracking (MTT) is a challenging task that aims at estimating the number of targets and their states from measurements of the target states provided by one or multiple sensors.
Compressive Nonparametric Graphical Model Selection For Time Series
We propose a method for inferring the conditional indepen- dence graph (CIG) of a high-dimensional discrete-time Gaus- sian vector random process from finite-length observations.
Sigma Point Belief Propagation
Here, we extend the SP filter to nonsequential Bayesian inference corresponding to loopy factor graphs.
