Visual tracking of multiple targets by Multi-Bernoulli filtering of background subtracted image data

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Visual tracking of multiple targets by Multi-Bernoulli filtering of background subtracted image data

Most visual multi-target tracking techniques in the literature employ a detection routine to map the image data to point measurements that are usually further processed by a filter. In this paper, we present a visual tracking technique based on a multi-target filtering algorithm that operates direct...

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Bibliographic Details
Main Authors:	Hoseinnezhad, R., Vo, Ba-Ngu, Vu, T.N.
Other Authors:	Ying Tan
Format:	Book Chapter
Published:	Springer 2011
Subjects:	multi-Bernoulli multi-target tracking Bayesian estimation random finite sets visual tracking
Online Access:	http://hdl.handle.net/20.500.11937/45604

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