39 search results - page 3 / 8 » Efficient distributed resampling for particle filters |
TSP
2011
13 years 7 days ago
2011
—In this paper, a new particle filter (PF) which we refer to as the decentralized PF (DPF) is proposed. By first decomposing the state into two parts, the DPF splits the filte...
TIP
2010
13 years 17 hour ago
2010
Particle filters (PFs) are Bayesian filters capable of modeling nonlinear, non-Gaussian, and nonstationary dynamical systems. Recent research in PFs has investigated ways to approp...
ICCV
2003
IEEE
14 years 7 months ago
2003
IEEE
In recent years particle filters have become a tremendously popular tool to perform tracking for non-linear and/or non-Gaussian models. This is due to their simplicity, generality...
ICPR
2006
IEEE
14 years 6 months ago
2006
IEEE
Tracking people or objects across multiple cameras is a challenging research area in visual computing especially when these cameras have non-overlapping field-of-views. The import...
UAI
2000
13 years 6 months ago
2000
Particle filters (PFs) are powerful samplingbased inference/learning algorithms for dynamic Bayesian networks (DBNs). They allow us to treat, in a principled way, any type of prob...