Robust Fusion for Multisensor Multiobject Tracking

Fantacci, C.; Vo, Ba-Ngu; Vo, Ba Tuong; Battistelli, G.; Chisci, L.

doi:10.1109/LSP.2018.2811750

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Authors

Fantacci, C.

Vo, Ba-Ngu

Vo, Ba Tuong

Battistelli, G.

Chisci, L.

Date

2018

Type

Journal Article

Metadata

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Citation

Fantacci, C. and Vo, B. and Vo, B.T. and Battistelli, G. and Chisci, L. 2018. Robust Fusion for Multisensor Multiobject Tracking. IEEE Signal Processing Letters. 25 (5): pp. 640-644.

Source Title

IEEE Signal Processing Letters

DOI

10.1109/LSP.2018.2811750

ISSN

1070-9908

School

School of Electrical Engineering, Computing and Mathematical Science (EECMS)

Abstract

This letter proposes analytical expressions for the fusion of certain classes of labeled multiobject densities via Kullback-Leibler averaging. Specifically, we provide analytical fusion rules for the labeled multi-Bernoulli and marginalized d-generalized labeled multi-Bernoulli families of labeled multiobject densities. Information fusion via Kullback-Leibler averaging ensures immunity to double counting of information and is essential to the development of effective multiagent multiobject estimation.