Mean-Field PHD Filters Based on Generalized Feynman-Kac Flow
hal.structure.identifier | IRIDA | |
dc.contributor.author | PACE, Michele | |
hal.structure.identifier | Advanced Learning Evolutionary Algorithms [ALEA] | |
hal.structure.identifier | Institut de Mathématiques de Bordeaux [IMB] | |
dc.contributor.author | DEL MORAL, Pierre | |
dc.date.issued | 2013 | |
dc.identifier.issn | 1932-4553 | |
dc.description.abstractEn | We discuss a connection between spatial branching processes and the PHD recursion based on conditioning principles for Poisson Point Processes. The branching process formulation gives a generalized Feynman-Kac systems interpretation of the PHD filtering equations, which enables the derivation of mean-field implementations of the PHD filter. This approach provides a principled means for obtaining target tracks and alleviates the need for pruning, merging and clustering for the estimation of multi-target states. | |
dc.language.iso | en | |
dc.publisher | IEEE | |
dc.title.en | Mean-Field PHD Filters Based on Generalized Feynman-Kac Flow | |
dc.type | Article de revue | |
dc.identifier.doi | 10.1109/JSTSP.2013.2250909 | |
dc.subject.hal | Informatique [cs]/Bibliothèque électronique [cs.DL] | |
bordeaux.journal | IEEE Journal of Selected Topics in Signal Processing | |
bordeaux.volume | 7 | |
bordeaux.issue | 3 | |
bordeaux.peerReviewed | oui | |
hal.identifier | hal-00932284 | |
hal.version | 1 | |
hal.popular | non | |
hal.audience | Internationale | |
hal.origin.link | https://hal.archives-ouvertes.fr//hal-00932284v1 | |
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