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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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Related topics

Related topics

3 relations
Probabilistic data association filterRadar trackerSimultaneous localization and mapping

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2014
2014
Optimal joint probabilistic data association filter avoiding coalescence in close proximity
This paper deals with an estimation problem where a known number of objects in close proximity are observed but the measurement… 
2013
2013
Clustering and a joint probabilistic data association filter for dealing with occlusions in multi-target tracking
This paper proposes an improved data association technique for dealing with occlusions in tracking multiple people in indoor… 
2012
2012
Multiple Target Tracking Using Cheap Joint Probabilistic Data Association Multiple Model Particle Filter in Sensors Array
Joint multiple target tracking and classification is an important issue in many engineering applications. In recent years… 
2009
2009
Multi-target Tracking in Wireless Sensor Networks Using Distributed Joint Probabilistic Data Association and Average Consensus Filter
The aim of this paper is to develop a distributed Multi-Target Tracking (MTT) algorithm over wireless sensor networks which has… 
2009
2009
Multiple target detection and tracking by interacting joint probabilistic data association filter and bayesian networks: Application to real data
This paper proposes an algorithm of multiple target detection and tracking on road, developed for the laserscanner data. It is… 
2009
2009
Regularized and simplified Monte Carlo Joint Probabilistic Data Association Filter for multi-target tracking in wireless sensor networks
In this paper we propose to use Regularized Monte Carlo-Joint Probabilistic Data Association Filter (RMC-JPDAF) to the classical… 
2008
2008
Incorporating statistical background model and Joint Probabilistic Data Association filter into motorcycle tracking
Multi-target tracking is an attractive research field due to its widespread application areas and challenges. Every point… 
2005
2005
Predictive Estimation Method to Track Occluded Multiple Objects Using Joint Probabilistic Data Association Filter
In multi-target visual tracking, tracking failure due to miss-association can often arise from the presence of occlusions between… 
2002
2002
Watch their moves: applying probabilistic multiple object tracking to autonomous robot soccer
In many autonomous robot applications robots must be capable of estimating the positions and motions of moving objects in their… 
1991
1991
Tracking of splitting targets in clutter using an interacting multiple model joint probabilistic data association filter
The authors present a recursive algorithm that allows tracking of a target that splits into two targets in a cluttered… 
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