A comprehensive analysis of 'Neural solution to the multitarget tracking data association problem' by D. Sengupta and R.A. Iltis (1989)

1993 ◽  
Vol 29 (1) ◽  
pp. 260-263 ◽  
Author(s):  
B. Zhou ◽  
N.K. Bose
Keyword(s):  
Data Association ◽  
Comprehensive Analysis ◽  
Multitarget Tracking ◽  
Tracking Data

scholarly journals The Impact of the Quality Assessment of Optimal Assignment for Data Association in a Multitarget Tracking Context

2015 ◽  
Vol 15 (7) ◽  
pp. 88-98
Author(s):  
J. Dezert ◽  
A. Tchamova ◽  
P. Konstantinova
Keyword(s):  
Quality Assessment ◽  
Data Association ◽  
New Method ◽  
Multitarget Tracking ◽  
Belief Functions ◽  
Tracking Systems ◽  
Optimal Assignment ◽  
The Individual ◽  
The Impact

Abstract The main purpose of this paper is to apply and to test the performance of a new method, based on belief functions, proposed by Dezert et al. in order to evaluate the quality of the individual association pairings provided in the optimal data association solution for improving the performances of multisensor-multitarget tracking systems. The advantages of its implementation in an illustrative realistic surveillance context, when some of the association decisions are unreliable and doubtful and lead to potentially critical mistake, are discussed. A comparison with the results obtained on the base of Generalized Data Association is made.

Short-term ambiguity assessment to augment tracking data association information

2005 ◽  
Author(s):  
S. Gadaleta ◽  
S. Herman ◽  
S. Miller ◽  
F. Obermeyer ◽  
J. Slocumb ◽  
...  
Keyword(s):  
Data Association ◽  
Tracking Data ◽  
Short Term
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