A PHD (probability hypothesis density) filter and multiscan association are combined in a feedback fashion in order to provide robust and efficient multitarget tracking. The resulting hybrid tracker, thanks to the feedback connection, provides remarkable performance improvements with respect to both an open-loop PHD filter with estimate extraction via clustering and a traditional tracker equipped with a track formation logic.

Multitarget tracking via joint PHD filtering and multiscan association / F. Papi; G. Battistelli; L. Chisci; S. Morrocchi; A. Farina; A. Graziano. - STAMPA. - (2009), pp. 1163-1170. ((Intervento presentato al convegno 12th International Conference on Information Fusion, FUSION 2009 tenutosi a Seattle, USA.

Multitarget tracking via joint PHD filtering and multiscan association

PAPI, FRANCESCO;BATTISTELLI, GIORGIO;CHISCI, LUIGI;
2009

Abstract

A PHD (probability hypothesis density) filter and multiscan association are combined in a feedback fashion in order to provide robust and efficient multitarget tracking. The resulting hybrid tracker, thanks to the feedback connection, provides remarkable performance improvements with respect to both an open-loop PHD filter with estimate extraction via clustering and a traditional tracker equipped with a track formation logic.
Proceedings 12th International Conference on Information Fusion
12th International Conference on Information Fusion, FUSION 2009
Seattle, USA
F. Papi; G. Battistelli; L. Chisci; S. Morrocchi; A. Farina; A. Graziano
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/2158/371745
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