<abstract xmlns="http://www.w3.org/1999/xhtml"><p>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.</p></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.

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

The French Aerospace Lab, Chemin de la Huniere, F-91761 Palaiseau, France

Institute of Informations and Communication Technologies, BAS, 1113 Sofia, Bulgaria

European Polytechnical University, Pernik, Bulgaria

Cybernetics and Information Technologies

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

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...

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

Pubblicato online: 19 gen 2016

Pagine: 88 - 98

DOI: https://doi.org/10.1515/cait-2015-0092

Parole chiave
Data association, Belief Functions, PCR6 fusion rule, multitarget tracking

© 2015 J. Dezert et al., published by De Gruyter Open

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

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

Pubblicato online: 19 gen 2016

Pagine: 88 - 98

DOI: https://doi.org/10.1515/cait-2015-0092

Parole chiaveData association, Belief Functions, PCR6 fusion rule, multitarget tracking

© 2015 J. Dezert et al., published by De Gruyter Open

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Parole chiave
Data association, Belief Functions, PCR6 fusion rule, multitarget tracking