Accelerating Particle Filter Using Randomized Multiscale and Fast Multipole Type Methods
Particle filter is a powerful tool for state tracking using non-linear observations. We present a multiscale based method that accelerates the tracking computation by particle filters. Unlike the conventional way, which calculates weights over all particles in each cycle of the algorithm, we sample...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 37(2015), 7 vom: 14. Juli, Seite 1396-407
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| 1. Verfasser: |
Shabat, Gil
(VerfasserIn) |
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| Weitere Verfasser: |
Shmueli, Yaniv,
Bermanis, Amit,
Averbuch, Amir |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2015
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| Zugriff auf das übergeordnete Werk: | IEEE transactions on pattern analysis and machine intelligence
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| Schlagworte: | Journal Article
Research Support, Non-U.S. Gov't
Research Support, U.S. Gov't, Non-P.H.S. |
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