The Cardinality Balanced Multi-Target Multi-Bernoulli Filter and Its Implementations

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The Cardinality Balanced Multi-Target Multi-Bernoulli Filter and Its Implementations

It is shown analytically that the multi-target multi- Bernoulli (MeMBer) recursion, proposed by Mahler, has a significant bias in the number of targets. To reduce the cardinality bias, a novel multi-Bernoulli approximation to the multi-target Bayes recursion is derived. Under the same assumptions as...

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Bibliographic Details
Main Authors:	Vo, Ba Tuong, Vo, Ba-Ngu, Cantoni, Antonio
Format:	Journal Article
Published:	IEEE 2009
Subjects:	random sets tracking multi-Bernoulli point processes Estimation finite set statistics
Online Access:	http://hdl.handle.net/20.500.11937/39623

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