Probabilistic data association filter

Known as: PDAF 
The probabilistic data association filter (PDAF) is a statistical approach to the problem of plot association in a radar tracker, in which all of the… (More)
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Topic mentions per year

Topic mentions per year

1982-2018
0102019822018

Papers overview

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2016
2016
A new approximation of the Bayes posterior target process for the tracking of a known number of targets is presented. The new… (More)
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2013
2013
Most conventional target tracking algorithms assume that a target can generate at most one measurement per scan. However, there… (More)
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2013
2013
This paper presents the Smoothed Probabilistic Data Association Filter (SmPDAF) that attempts to improve the Gaussian… (More)
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2011
2011
A standard assumption in most tracking algorithms, like the Probabilistic Data Association (PDA) filter, Multiple Hypothesis… (More)
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2010
2010
In many surveillance problems the observed objects are so closely spaced that they cannot always be resolved by the sensor(s… (More)
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Highly Cited
2009
Highly Cited
2009
The measurement selection for updating the state estimate of a target's track, known as data association, is essential for good… (More)
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2008
2008
This paper presents a framework for multiple body part tracking based on a probabilistic data association (DA) filter. The body… (More)
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2004
2004
This paper presents a novel segmentation technique for extracting cavity contours from ultrasound images. The problem is first… (More)
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2002
2002
Multitarget tracking problems are theoretically interesting because, unlike other estimation problems, the origins of the… (More)
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Highly Cited
2001
Highly Cited
2001
ÐWe describe a framework that explicitly reasons about data association to improve tracking performance in many difficult visual… (More)
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