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» Algorithmic Fusion for More Robust Feature Tracking
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ICCV
1995
IEEE
15 years 1 months ago
Determining Facial Expressions in Real-Time
In this paper we suggest an approach to describing and tracking the deformation of facial features. We concentrate on the mouth since its shape is important in detecting emotion, ...
Yael Moses, David Reynard, Andrew Blake
ICMCS
2007
IEEE
133views Multimedia» more  ICMCS 2007»
15 years 4 months ago
Data Modeling Strategies for Imbalanced Learning in Visual Search
In this paper we examine a novel approach to the difficult problem of querying video databases using visual topics with few examples. Typically with visual topics, the examples a...
Jelena Tesic, Apostol Natsev, Lexing Xie, John R. ...
ICIC
2005
Springer
15 years 3 months ago
Sequential Stratified Sampling Belief Propagation for Multiple Targets Tracking
Rather than the difficulties of highly non-linear and non-Gaussian observation process and the state distribution in single target tracking, the presence of a large, varying number...
Jianru Xue, Nanning Zheng, Xiaopin Zhong
TVCG
2010
188views more  TVCG 2010»
14 years 8 months ago
Analyzing and Tracking Burning Structures in Lean Premixed Hydrogen Flames
— This paper presents topology-based methods to robustly extract, analyze, and track features defined as subsets of isosurfaces. First, we demonstrate how features identified b...
Peer-Timo Bremer, Gunther H. Weber, Valerio Pascuc...
BMCBI
2010
117views more  BMCBI 2010»
14 years 10 months ago
New decoding algorithms for Hidden Markov Models using distance measures on labellings
Background: Existing hidden Markov model decoding algorithms do not focus on approximately identifying the sequence feature boundaries. Results: We give a set of algorithms to com...
Daniel G. Brown 0001, Jakub Truszkowski