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ICASSP
2008
IEEE
13 years 11 months ago
A new Particle Filtering algorithm with structurally optimal importance function
Bayesian estimation in nonlinear stochastic dynamical systems has been addressed for a long time. Among other solutions, Particle Filtering (PF) algorithms propagate in time a Mon...
Boujemaa Ait-El-Fquih, François Desbouvries
FGR
2004
IEEE
141views Biometrics» more  FGR 2004»
13 years 8 months ago
Smart Particle Filtering for 3D Hand Tracking
Solving the tracking of an articulated structure in a reasonable time is a complex task mainly due to the high dimensionality of the problem. A new optimization method, called Sto...
Matthieu Bray, Esther Koller-Meier, Luc J. Van Goo...
CVPR
2008
IEEE
14 years 7 months ago
Sequential particle swarm optimization for visual tracking
Visual tracking usually involves an optimization process for estimating the motion of an object from measured images in a video sequence. In this paper, a new evolutionary approac...
Xiaoqin Zhang, Weiming Hu, Stephen J. Maybank, Xi ...
ICASSP
2011
IEEE
12 years 8 months ago
Optimal SIR algorithm vs. fully adapted auxiliary particle filter: A matter of conditional independence
Particle filters (PF) and auxiliary particle filters (APF) are widely used sequential Monte Carlo (SMC) techniques. In this paper we comparatively analyse the Sampling Importanc...
François Desbouvries, Yohan Petetin, Emmanu...
CEC
2008
IEEE
13 years 11 months ago
Differential evolution particle swarm optimization for digital filter design
— In this paper, swarm and evolutionary algorithms have been applied for the design of digital filters. Particle swarm optimization (PSO) and differential evolution particle swar...
Bipul Luitel, Ganesh K. Venayagamoorthy