Multitarget tracking using probability hypothesis density smoothing

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Multitarget tracking using probability hypothesis density smoothing

In general, for multitarget problems where the number of targets and their states are time varying, the optimal Bayesian multitarget tracking is computationally demanding. The Probability Hypothesis Density (PHD) filter, which is the first-order moment approximation of the optimal one, is a computat...

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Bibliographic Details
Main Authors:	Nadarajah, Nandakumaran, Kirubarajan, T., Lang, T., McDonald, M., Punithakumar, K.
Format:	Journal Article
Published:	2011
Online Access:	http://hdl.handle.net/20.500.11937/17753

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