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IROS
2007
IEEE
193views Robotics» more  IROS 2007»
15 years 6 months ago
Analyzing gaussian proposal distributions for mapping with rao-blackwellized particle filters
Abstract— Particle filters are a frequently used filtering technique in the robotics community. They have been successfully applied to problems such as localization, mapping, o...
Cyrill Stachniss, Giorgio Grisetti, Wolfram Burgar...
TIP
2010
141views more  TIP 2010»
14 years 6 months ago
Efficient Particle Filtering via Sparse Kernel Density Estimation
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...
Amit Banerjee, Philippe Burlina
ICCV
2003
IEEE
15 years 5 months ago
Meshfree Particle Method
Many of the computer vision algorithms have been posed in various forms of differential equations, derived from minimization of specific energy functionals, and the finite eleme...
Huafeng Liu, Pengcheng Shi
EC
2008
209views ECommerce» more  EC 2008»
14 years 12 months ago
Human Body Pose Estimation with Particle Swarm Optimisation
In this paper we address the problem of human body pose estimation from still images. A multi-view set of images of a person sitting at a table is acquired and the pose estimated....
Spela Ivekovic, Emanuele Trucco, Yvan R. Petillot
GI
2009
Springer
14 years 9 months ago
Rao-Blackwellized Particle Filter for Security Surveillance
: Nowadays, the necessity of safeguarded environments is stronger than ever. The defence of public areas against terroristic threats requires intelligent security assistance system...
Felix Govaers, Monika Wieneke