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ICASSP
2008
IEEE
14 years 4 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
CVPR
2009
IEEE
15 years 5 months ago
Memory-based particle filter for face pose tracking robust under complex dynamics
A novel particle filter, the Memory-based Particle Filter (M-PF), is proposed that can visually track moving objects that have complex dynamics. We aim to realize robustness aga...
Dan Mikami (NTT), Kazuhiro Otsuka (NTT), Junji YAM...
HUMO
2007
Springer
14 years 1 days ago
Gradient-Enhanced Particle Filter for Vision-Based Motion Capture
Tracking of rigid and articulated objects is usually addressed within a particle filter framework or by correspondence based gradient descent methods. We combine both methods, suc...
Daniel Grest, Volker Krüger
DAGSTUHL
2007
13 years 11 months ago
Logical Particle Filtering
Abstract. In this paper, we consider the problem of filtering in relational hidden Markov models. We present a compact representation for such models and an associated logical par...
Luke S. Zettlemoyer, Hanna M. Pasula, Leslie Pack ...
ICRA
2010
IEEE
138views Robotics» more  ICRA 2010»
13 years 8 months ago
Rao-Blackwellized particle filtering for probing-based 6-DOF localization in robotic assembly
This paper presents a probing-based method for probabilistic localization in automated robotic assembly. We consider peg-in-hole problems in which a needle-like peg has a single p...
Yuichi Taguchi, Tim K. Marks, Haruhisa Okuda