Distributed peer-to-peer multitarget tracking with association-based track fusion

Author

Battistelli, Giorgio ; Chisci, L. ; Fantacci, C. ; Forti, N. ; Farina, A. ; Graziano, A.

Author_Institution

DINFO, Univ. di Firenze, Florence, Italy

fYear

2014

fDate

7-10 July 2014

Firstpage

1

Lastpage

7

Abstract

The paper addresses distributed multitarget tracking over a peer-to-peer network of sensors with limited target observability. It is shown how to extend the Cheap Joint Probabilistic Data Association (CJPDA) filter to this setting by devising suitable distributed, consensus-based, procedures for track initiation and track fusion. The resulting, association-based, Distributed-CJPDA (D-CJPDA) tracker is then compared to a previously proposed random set approach for the same problem based on the Gaussian Mixture Cardinalized Probability Hypothesis Density (CPHD) filter.

Keywords

Gaussian processes; distributed tracking; mixture models; peer-to-peer computing; probability; sensor fusion; target tracking; tracking filters; wireless sensor networks; CJPDA filter; CPHD filter; Gaussian mixture cardinalized probability hypothesis density filter; association based track fusion; cheap joint probabilistic data association; distributed CJPDA tracker; distributed peer-to-peer multitarget tracking; random set approach; track initiation; Logic gates; Nickel; Peer-to-peer computing; Sensors; Surveillance; Target tracking;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Fusion (FUSION), 2014 17th International Conference on

Conference_Location

Salamanca

Type

conf

Filename

6916247