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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.
2013
2013
Ballistic missile tracking using the interacting mulitple model joint probabilistic data association filter
Timothy M. Dunton
2013
Corpus ID: 109685634
Abstract : The success of interceptors used by the United States ballistic missile defense program is jeopardized by the use of…
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2012
2012
Joint Probabilistic Data Association Filter for Real-Time Multiple Human Tracking in Video
Thomas Andzi-Quinoo Tawiah
,
R. Lea
2012
Corpus ID: 6626440
Human tracking in video is required for interactive multimedia, action recognition, and surveillance. Two of the main challenges…
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2010
2010
Face tracking in video using a joint probabilistic data association filter (JPDAF)
G. Swaminathan
,
S. Bedros
,
U. S. Yanhanandan
,
J. Trojanová
2010
Corpus ID: 196119574
A method for tracking faces in multiple video frames includes obtaining a predicted position of a face in a video frame (310). A…
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2008
2008
Tracking multiple moving objects in a dynamic environment for autonomous navigation
Jorge Almeida
,
Rui Ara´ujo
10th IEEE International Workshop on Advanced…
2008
Corpus ID: 36282825
To deploy autonomous vehicles in dynamic environments its imperative that the robots have a model of the surroundings, with…
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2006
2006
The Joint Probabilistic Data Association Filter (JPDAF) for Multi-Target Tracking
Jaechan Lim
2006
Corpus ID: 57421795
2006
2006
Tracking Extended Targets - A Switching Algorithm Versus The SJPDAF
A. Kräußling
,
D. Schulz
Fusion
2006
Corpus ID: 6954932
Tracking extended targets is of central interest in mobile robotics as it is a prerequisite for interaction with the environment…
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2004
2004
Estimation for Target Tracking ∗
D. Musicki
,
M. Morelande
2004
Corpus ID: 14802345
Gate volume is an integral part of many algorithms for non-parametric target tracking in clutter. Non-parametric target tracking…
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2003
2003
ADAPTIVE TRACKING OF MULTIPLE MANOEUVRING TARGETS IN CLUTTER USING THE IMM AND THE JPDAF
H. Benoudnine
,
M. Keche
,
A. Ouamri
,
M. Woolfson
2003
Corpus ID: 56334206
An algorithm for tracking multiple manoeuvring targets in a cluttered environment is proposed. This algorithm combines the Joint…
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2002
2002
Integrating shape and dynamic probabilistic models for data association and tracking
G. Gennari
,
A. Chiuso
,
Fabio Cuzzolin
,
R. Frezza
Proceedings of the 41st IEEE Conference on…
2002
Corpus ID: 61112144
Tracking and data association procedures like the joint probabilistic data association filter (JPDAF) are not prone to the…
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1999
1999
Set Theory Correlation Free Algorithm for HRRR Target Tracking
Erik Blasch
,
L. Hong
1999
Corpus ID: 42016996
Abstract : One challenge of simultaneous tracking and identification of targets is the fusion of continuous and discrete…
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