33 search results - page 2 / 7 » Box particle filtering for nonlinear state estimation using ... |
ICASSP
2011
IEEE
12 years 9 months ago
2011
IEEE
A new method for instantaneous phase tracking of oscillatory signals in a narrow band frequency range is proposed. Empirical mode decomposition (EMD), as an adaptive and data-driv...
CLEAR
2007
Springer
14 years 6 days ago
2007
Springer
Abstract. This paper presents a novel approach to the problem of determining head pose estimation and face 3D orientation of several people in low resolution sequences from multipl...
ICIP
2005
IEEE
14 years 7 months ago
2005
IEEE
Sequential importance sampling (SIS), also known as particle filtering, has drawn increasing attention recently due to its superior performance in nonlinear and non-Gaussian dynam...
ACCV
2009
Springer
14 years 20 days ago
2009
Springer
Particle filtering is an effective sequential Monte Carlo approach to solve the recursive Bayesian filtering problem in non-linear and non-Gaussian systems. The algorithm is base...
SAC
2008
ACM
13 years 5 months ago
2008
ACM
Abstract. In this paper we discuss new adaptive proposal strategies for sequential Monte Carlo algorithms--also known as particle filters--relying on new criteria evaluating the qu...