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PKDD
2009
Springer
146views Data Mining» more  PKDD 2009»
14 years 6 days ago
Parallel Subspace Sampling for Particle Filtering in Dynamic Bayesian Networks
Monitoring the variables of real world dynamic systems is a difficult task due to their inherent complexity and uncertainty. Particle Filters (PF) perform that task, yielding prob...
Eva Besada-Portas, Sergey M. Plis, Jesús Ma...
IROS
2007
IEEE
193views Robotics» more  IROS 2007»
14 years 1 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...
GI
2009
Springer
13 years 5 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
TITS
2010
158views Education» more  TITS 2010»
13 years 2 months ago
A Sensor Fusion Framework Using Multiple Particle Filters for Video-Based Navigation
This paper presents a sensor-fusion framework for video-based navigation. Video-based navigation offers the advantages over existing approaches. With this type of navigation, road ...
Li Bai, Yan Wang
ICCV
2001
IEEE
14 years 9 months ago
Learning Image Statistics for Bayesian Tracking
This paper describes a framework for learning probabilistic models of objects and scenes and for exploiting these models for tracking complex, deformable, or articulated objects i...
Hedvig Sidenbladh, Michael J. Black