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Joint Probabilistic Data Association Filter

Known as: JPDAF, Joint Probabilistic Association Filter 
The joint probabilistic data-association filter (JPDAF) is a statistical approach to the problem of plot association in a radar tracker, in which all… 
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Papers overview

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2014
2014
This paper deals with an estimation problem where a known number of objects in close proximity are observed but the measurement… 
2013
2013
This paper proposes an improved data association technique for dealing with occlusions in tracking multiple people in indoor… 
2012
2012
Joint multiple target tracking and classification is an important issue in many engineering applications. In recent years… 
2009
2009
The aim of this paper is to develop a distributed Multi-Target Tracking (MTT) algorithm over wireless sensor networks which has… 
2009
2009
This paper proposes an algorithm of multiple target detection and tracking on road, developed for the laserscanner data. It is… 
2009
2009
In this paper we propose to use Regularized Monte Carlo-Joint Probabilistic Data Association Filter (RMC-JPDAF) to the classical… 
2008
2008
Multi-target tracking is an attractive research field due to its widespread application areas and challenges. Every point… 
2005
2005
In multi-target visual tracking, tracking failure due to miss-association can often arise from the presence of occlusions between… 
2002
2002
In many autonomous robot applications robots must be capable of estimating the positions and motions of moving objects in their… 
1991
1991
The authors present a recursive algorithm that allows tracking of a target that splits into two targets in a cluttered…