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