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hal.structure.identifierAdvanced Learning Evolutionary Algorithms [ALEA]
dc.contributor.authorPACE, Michele
dc.date.issued2010
dc.date.conference2010-05
dc.description.abstractEnThe Probability Hypothesis Density (PHD) filter is applied to realistic three-dimensional aerial and naval scenarios to illustrate its performance in detecting, initiating and terminating tracks in presence of clutter. Radar measurements are available every two seconds. A comparisons between different approximations of the PHD recursion, namely the sequential Monte Carlo and the Gaussian Mixture approximation, is given on different scenarios using the OSPA metric and different levels of clutter.
dc.language.isoen
dc.title.enComparison of PHD based filters for the tracking of 3D aerial and naval scenarios
dc.typeCommunication dans un congrès avec actes
dc.identifier.doi10.1109/RADAR.2010.5494574
dc.subject.halInformatique [cs]/Traitement du signal et de l'image
dc.subject.halStatistiques [stat]/Applications [stat.AP]
dc.subject.halSciences de l'ingénieur [physics]/Traitement du signal et de l'image
bordeaux.countryUS
bordeaux.title.proceedingIEEE Radar Conference
bordeaux.conference.cityWashington
bordeaux.peerReviewedoui
hal.identifierinria-00535931
hal.version1
hal.origin.linkhttps://hal.archives-ouvertes.fr//inria-00535931v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.date=2010&rft.au=PACE,%20Michele&rft.genre=proceeding


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