Condensation algorithm

Known as: Condensation (disambiguation) 
The condensation algorithm (Conditional Density Propagation) is a computer vision algorithm. The principal application is to detect and track the… (More)
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Computer vision
Generative modelParticle filterPrincipal component analysisVideo tracking

Papers overview

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Highly Cited
2009
Highly Cited
2009
Bose-Einstein Condensation of 84 Sr
The study of quantum degenerate gases continues to be at the forefront of research in atomic and condensed matter physics nearly… (More)
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2006
2006
Nonparametric Background Modeling Using the CONDENSATION Algorithm
Background modeling for dynamic scenes is an important problem in the context of real time video surveillance systems. Several… (More)
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Highly Cited
2003
Highly Cited
2003
The MODIS Aerosol Algorithm , Products , and Validation
The Moderate Resolution Imaging Spectroradiometer (MODIS) aboard both NASA’s Terra and Aqua satellites is making near-global… (More)
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Highly Cited
2002
Highly Cited
2002
Density-Based Multiscale Data Condensation
ÐA problem gaining interest in pattern recognition applied to data mining is that of selecting a small representative subset from… (More)
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Highly Cited
1999
Highly Cited
1999
Using the Condensation Algorithm for Robust, Vision-based Mobile Robot Localization
To navigate reliably in indoor environments, a mobile robot must know where it is. This includes both the ability of globally… (More)
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Highly Cited
1999
Highly Cited
1999
A Sampling Algorithm for Tracking Multiple Objects
Tracking unknown number of moving objects in cluttered scenes is an important yet difficult research issue in computer vision… (More)
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Highly Cited
1998
Highly Cited
1998
CONDENSATION—Conditional Density Propagation for Visual Tracking
The problem of tracking curves in dense visual clutter is challenging. Kalman filtering is inadequate because it is based on… (More)
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Highly Cited
1998
Highly Cited
1998
Recognizing Temporal Trajectories Using the Condensation Algorithm
The recognition of human gestures in image sequences is an important and challengingproblem that enables a host of human-computer… (More)
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Highly Cited
1998
Highly Cited
1998
A Probabilistic Framework for Matching Temporal Trajectories: CONDENSATION-Based Recognition of Gestures and Expressions
The recognition of human gestures and facial expressions in image sequences is an important and challenging problem that enables… (More)
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Highly Cited
1996
Highly Cited
1996
Contour Tracking by Stochastic Propagation of Conditional Density
The problem of tracking curves in dense visual clutter is a challenging one. Trackers based on Kalman lters are of limited use… (More)
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