Multi-Object Tracking Using Labeled Multi-Bernoulli Random Finite Sets

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Multi-Object Tracking Using Labeled Multi-Bernoulli Random Finite Sets

In this paper, we propose the labeled multi-Bernoulli filter which explicitly estimates target tracks and provides a more accurate approximation of the multi-object Bayes update than the multi-Bernoulli filter. In particular, the labeled multi-Bernoulli filter is not prone to the biased cardinality...

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Bibliographic Details
Main Authors:	Reuter, S., Vo, Ba Tuong, Vo, Ba-Ngu, Dietmayer, K.
Other Authors:	Juan M. Corchado
Format:	Conference Paper
Published:	IEEE 2014
Online Access:	http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6916141 http://hdl.handle.net/20.500.11937/42972

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