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» Object Tracking by Adaptive Modeling
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128
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ICASSP
2011
IEEE
14 years 6 months ago
Analysis-synthesis based speech enhancement with improved spectrum envelope estimation by tracking speech dynamics
This paper presents a Kalman tracking approach to re-estimate clean spectral amplitude from noisy speech spectrum for re-synthesis based speech enhancement. The motivation of usin...
Ruofei Chen, Cheung-Fat Chan
169
Voted
CVPR
2011
IEEE
14 years 6 months ago
Nonlinear Shape Manifolds as Shape Priors in Level Set Segmentation and Tracking
We propose a novel nonlinear, probabilistic and variational method for adding shape information to level setbased segmentation and tracking. Unlike previous work, we represent sha...
Victor Prisacariu, Ian Reid
123
Voted
TOG
2012
188views Communications» more  TOG 2012»
13 years 5 months ago
Deformable objects alive!
We present a method for controlling the motions of active deformable characters. As an underlying principle, we require that all motions be driven by internal deformations. We ach...
Stelian Coros, Sebastian Martin, Bernhard Thomasze...
114
Voted
CVPR
2005
IEEE
16 years 4 months ago
Using Particles to Track Varying Numbers of Interacting People
In this paper, we present a Bayesian framework for the fully automatic tracking of a variable number of interacting targets using a fixed camera. This framework uses a joint multi...
Kevin Smith, Daniel Gatica-Perez, Jean-Marc Odobez
97
Voted
SIAMCO
2000
71views more  SIAMCO 2000»
15 years 2 months ago
On a Perturbation Approach for the Analysis of Stochastic Tracking Algorithms
In this paper, a perturbation expansion technique is introduced to decompose the tracking error of a general adaptive tracking algorithm in a linear regression model. This method ...
Rafik Aguech, Eric Moulines, Pierre Priouret