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ICASSP
2011
IEEE
11 years 5 months ago
Non-parametric bayesian measurement noise density estimation in non-linear filtering
In this study, we investigate online Bayesian estimation of the measurement noise density of a given state space model using particle filters and Dirichlet process mixtures. Diri...
Emre Özkan, Saikat Saha, Fredrik Gustafsson, ...
ICASSP
2011
IEEE
11 years 5 months ago
Human gait parameter estimation based on micro-doppler signatures using particle filters
Monitoring and tracking human activities around restricted areas is an important issue in security and surveillance applications. The movement of different parts of the human body...
M. B. Guldogan, Fredrik Gustafsson, Umut Orguner, ...
ICRA
2003
IEEE
151views Robotics» more  ICRA 2003»
12 years 7 months ago
Adaptive real-time particle filters for robot localization
— Particle filters have recently been applied with great success to mobile robot localization. This success is mostly due to their simplicity and their ability to represent arbi...
Cody C. T. Kwok, Dieter Fox, Marina Meila
HUC
2004
Springer
12 years 7 months ago
Particle Filters for Location Estimation in Ubiquitous Computing: A Case Study
Location estimation is an important part of many ubiquitous computing systems. Particle filters are simulation-based probabilistic approximations which the robotics community has ...
Jeffrey Hightower, Gaetano Borriello
IBPRIA
2005
Springer
12 years 7 months ago
Probabilistic Image-Based Tracking: Improving Particle Filtering
Condensation is a widely-used tracking algorithm based on particle filters. Although some results have been achieved, it has several unpleasant behaviours. In this paper, we highl...
Daniel Rowe, Ignasi Rius, Jordi Gonzàlez, F...
ICRA
2006
IEEE
110views Robotics» more  ICRA 2006»
12 years 7 months ago
Speeding-up Rao-blackwellized SLAM
— Recently, Rao-Blackwellized particle filters have become a popular tool to solve the simultaneous localization and mapping problem. This technique applies a particle filter i...
Giorgio Grisetti, Gian Diego Tipaldi, Cyrill Stach...
ICMCS
2006
IEEE
101views Multimedia» more  ICMCS 2006»
12 years 7 months ago
Power-Aware Particle Filtering for Video Tracking
This paper presents a novel approach to particle filtering which minimizes the total tracking distortion by considering dynamic variance of proposal density and adaptive number o...
Pan Pan, Dan Schonfeld
ACCV
2007
Springer
12 years 8 months ago
Multi-camera People Tracking by Collaborative Particle Filters and Principal Axis-Based Integration
This paper presents a novel approach to tracking people in multiple cameras. A target is tracked not only in each camera but also in the ground plane by individual particle filter...
Wei Du, Justus H. Piater
ICRA
2007
IEEE
160views Robotics» more  ICRA 2007»
12 years 8 months ago
CRF-Filters: Discriminative Particle Filters for Sequential State Estimation
Abstract— Particle filters have been applied with great success to various state estimation problems in robotics. However, particle filters often require extensive parameter tw...
Benson Limketkai, Dieter Fox, Lin Liao
IROS
2008
IEEE
156views Robotics» more  IROS 2008»
12 years 8 months ago
Bayesian state estimation and behavior selection for autonomous robotic exploration in dynamic environments
— In order to be truly autonomous, robots that operate in natural, populated environments must have the ability to create a model of these unpredictable dynamic environments and ...
Georgios Lidoris, Dirk Wollherr, Martin Buss
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