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ICASSP
2008
IEEE
15 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
CVPR
2009
IEEE
16 years 11 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
15 years 6 months 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
15 years 5 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»
15 years 2 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