Marginalized particle PHD filters for multiple object Bayesian filtering
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Year
: 2014DOI: 10.1109/TAES.2014.120805
Keyword(s): Bayes methods,Gaussian processes,Monte Carlo methods,mixture models,particle filtering (numerical methods),GM approximations,Gaussian mixture approximations,SMC methods,marginalized particle PHD filters,multiple object Bayesian filtering,multitarget filtering problem,partially linear substructure,probability hypothesis density filter,sequential Monte Carlo methods,stochastic systems,Adaptation models,Approximation methods,Atmospheric measurements,Bayes methods,Filtering,Parti
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Marginalized particle PHD filters for multiple object Bayesian filtering
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| contributor author | Petetin, Yohan | |
| contributor author | Morelande, Mark | |
| contributor author | Desbouvries, Francois | |
| date accessioned | 2020-03-13T00:12:39Z | |
| date available | 2020-03-13T00:12:39Z | |
| date issued | 2014 | |
| identifier issn | 0018-9251 | |
| identifier other | 6850148.pdf | |
| identifier uri | https://libsearch.um.ac.ir:443/fum/handle/fum/1138351 | |
| format | general | |
| language | English | |
| publisher | IEEE | |
| title | Marginalized particle PHD filters for multiple object Bayesian filtering | |
| type | Journal Paper | |
| contenttype | Metadata Only | |
| identifier padid | 8320410 | |
| subject keywords | Bayes methods | |
| subject keywords | Gaussian processes | |
| subject keywords | Monte Carlo methods | |
| subject keywords | mixture models | |
| subject keywords | particle filtering (numerical methods) | |
| subject keywords | GM approximations | |
| subject keywords | Gaussian mixture approximations | |
| subject keywords | SMC methods | |
| subject keywords | marginalized particle PHD filters | |
| subject keywords | multiple object Bayesian filtering | |
| subject keywords | multitarget filtering problem | |
| subject keywords | partially linear substructure | |
| subject keywords | probability hypothesis density filter | |
| subject keywords | sequential Monte Carlo methods | |
| subject keywords | stochastic systems | |
| subject keywords | Adaptation models | |
| subject keywords | Approximation methods | |
| subject keywords | Atmospheric measurements | |
| subject keywords | Bayes methods | |
| subject keywords | Filtering | |
| subject keywords | Parti | |
| identifier doi | 10.1109/TAES.2014.120805 | |
| journal title | Aerospace and Electronic Systems, IEEE Transactions on | |
| journal volume | 50 | |
| journal issue | 2 | |
| filesize | 696626 | |
| citations | 1 |