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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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3 relations
Probabilistic data association filter
Radar tracker
Simultaneous 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
Evan Kaufman
,
T. Lovell
,
Taeyoung Lee
European Control Conference
2014
Corpus ID: 42173370
This paper deals with an estimation problem where a known number of objects in close proximity are observed but the measurement…
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2013
2013
Clustering and a joint probabilistic data association filter for dealing with occlusions in multi-target tracking
Ata ur-Rehman
,
S. M. Naqvi
,
L. Mihaylova
,
J. Chambers
Proceedings of the 16th International Conference…
2013
Corpus ID: 6403980
This paper proposes an improved data association technique for dealing with occlusions in tracking multiple people in indoor…
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2012
2012
Multiple Target Tracking Using Cheap Joint Probabilistic Data Association Multiple Model Particle Filter in Sensors Array
Messaoudi Zahir
2012
Corpus ID: 16799577
Joint multiple target tracking and classification is an important issue in many engineering applications. In recent years…
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2009
2009
Multi-target Tracking in Wireless Sensor Networks Using Distributed Joint Probabilistic Data Association and Average Consensus Filter
M. Tinati
,
T. Y. Rezaii
American Control Conference
2009
Corpus ID: 15778517
The aim of this paper is to develop a distributed Multi-Target Tracking (MTT) algorithm over wireless sensor networks which has…
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2009
2009
Multiple target detection and tracking by interacting joint probabilistic data association filter and bayesian networks: Application to real data
B. Jida
,
R. Lherbier
,
J. Noyer
,
M. Wahl
12th International IEEE Conference on Intelligent…
2009
Corpus ID: 15843105
This paper proposes an algorithm of multiple target detection and tracking on road, developed for the laserscanner data. It is…
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2009
2009
Regularized and simplified Monte Carlo Joint Probabilistic Data Association Filter for multi-target tracking in wireless sensor networks
M. Tinati
,
T. Y. Rezaii
,
M. J. Museviniya
IEEE International Symposium on Signal Processing…
2009
Corpus ID: 18837345
In this paper we propose to use Regularized Monte Carlo-Joint Probabilistic Data Association Filter (RMC-JPDAF) to the classical…
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2008
2008
Incorporating statistical background model and Joint Probabilistic Data Association filter into motorcycle tracking
PhiBang Nguyen
,
H. Le
IEEE International Conference on Research…
2008
Corpus ID: 16161558
Multi-target tracking is an attractive research field due to its widespread application areas and challenges. Every point…
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2005
2005
Predictive Estimation Method to Track Occluded Multiple Objects Using Joint Probabilistic Data Association Filter
Heungkyu Lee
,
Hanseok Ko
International Conference on Image Analysis and…
2005
Corpus ID: 2346910
In multi-target visual tracking, tracking failure due to miss-association can often arise from the presence of occlusions between…
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2002
2002
Watch their moves: applying probabilistic multiple object tracking to autonomous robot soccer
Thorsten Schmitt
,
M. Beetz
,
Robert Hanek
,
Sebastian Buck
AAAI/IAAI
2002
Corpus ID: 1373045
In many autonomous robot applications robots must be capable of estimating the positions and motions of moving objects in their…
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1991
1991
Tracking of splitting targets in clutter using an interacting multiple model joint probabilistic data association filter
Y. Bar-Shalom
,
Kuo-Chu Chang
,
Henk A. P. Blom
[] Proceedings of the 30th IEEE Conference on…
1991
Corpus ID: 61315658
The authors present a recursive algorithm that allows tracking of a target that splits into two targets in a cluttered…
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