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» Feature-aided particle tracking
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ICASSP
2011
IEEE
14 years 1 months ago
Distributed auxiliary particle filters using selective gossip
This paper introduces a distributed auxiliary particle filter for target tracking in sensor networks. Nodes maintain a shared particle filter by coming to a consensus about the ...
Deniz Üstebay, Mark Coates, Michael Rabbat
IROS
2009
IEEE
199views Robotics» more  IROS 2009»
15 years 4 months ago
Multiswarm Particle Filter for vision based SLAM
Abstract— Particle Filters have been widely used as a powerful optimization tool for nonlinear, non-Gaussian dynamic models such as Simultaneous Localization and Mapping (SLAM) a...
Hee Seok Lee, Kyoung Mu Lee
ACCV
2009
Springer
15 years 4 months ago
A Smarter Particle Filter
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...
Xiaoqin Zhang, Weiming Hu, Steve J. Maybank
GLOBECOM
2009
IEEE
15 years 1 months ago
Restarting Particle Filters: An Approach to Improve the Performance of Dynamic Indoor Localization
Particle filters have been found to be effective in tracking mobile targets in indoor environments. One frequently encountered problem in these settings occurs when the target'...
Begumhan Turgut, Richard P. Martin
ROBOCUP
2004
Springer
117views Robotics» more  ROBOCUP 2004»
15 years 3 months ago
Map-Based Multiple Model Tracking of a Moving Object
In this paper we propose an approach for tracking a moving target using Rao-Blackwellised particle filters. Such filters represent posteriors over the target location by a mixtur...
Cody C. T. Kwok, Dieter Fox