Title :
Comments on "Bayesian Approach to Extended Object and Cluster Tracking using Random Matrices"
Author :
Feldmann, Michel ; Koch, W.
fDate :
4/1/2012 12:00:00 AM
Abstract :
This correspondence shows that the expression for the marginal density of the kinematic state in [1], which is valid only if the kinematic state is fully observable by the sensor, can be generalized. Our second comment concerns the direct integration of a scaling factor for the extent estimate. Thirdly, we show an equivalent update step based on sequential processing of single measurements (instead of the indirect parameters "mean measurement" and "measurement spread" in [1]).
Keywords :
Bayes methods; matrix algebra; object tracking; Bayesian approach; cluster tracking extension; equivalent update step; indirect parameter; kinematic state marginal density; mean measurement; measurement spread; object tracking extension; random matrix; scaling factor; single measurement sequential processing; Bayesian methods; Equations; Gaussian distribution; Kinematics; Noise; Position measurement; Vectors;
Journal_Title :
Aerospace and Electronic Systems, IEEE Transactions on
DOI :
10.1109/TAES.2012.6178088