DocumentCode :
1484196
Title :
Comments on "Bayesian Approach to Extended Object and Cluster Tracking using Random Matrices"
Author :
Feldmann, Michel ; Koch, W.
Volume :
48
Issue :
2
fYear :
2012
fDate :
4/1/2012 12:00:00 AM
Firstpage :
1687
Lastpage :
1693
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;
fLanguage :
English
Journal_Title :
Aerospace and Electronic Systems, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9251
Type :
jour
DOI :
10.1109/TAES.2012.6178088
Filename :
6178088
Link To Document :
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