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» Parallel Algorithms for Bayesian Indoor Positioning Systems
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RAS
2010
136views more  RAS 2010»
13 years 6 months ago
A realistic benchmark for visual indoor place recognition
An important competence for a mobile robot system is the ability to localize and perform context interpretation. This is required to perform basic navigation and to facilitate loc...
Andrzej Pronobis, Barbara Caputo, Patric Jensfelt,...
ICRA
2006
IEEE
113views Robotics» more  ICRA 2006»
14 years 1 months ago
Integration of Dependent Bayesian Filters for Robust Tracking
— Robotics applications based on computer vision algorithms are highly constrained to indoor environments where conditions may be controlled. The development of robust visual alg...
Francesc Moreno-Noguer, Alberto Sanfeliu, Dimitris...
ISWC
2000
IEEE
14 years 13 hour ago
Finding Location Using Omnidirectional Video on a Wearable Computing Platform
In this paper we present a framework for a navigation system in an indoor environment using only omnidirectional video. Within a Bayesian framework we seek the appropriate place a...
Wasinee Rungsarityotin, Thad Starner
CVPR
2007
IEEE
14 years 9 months ago
A Bayesian algorithm for tracking multiple moving objects in outdoor surveillance video
Reliable tracking of multiple moving objects in video is an interesting challenge, made difficult in real-world video by various sources of noise and uncertainty. We propose a Bay...
Manjunath Narayana, Donna Haverkamp
PKDD
2009
Springer
146views Data Mining» more  PKDD 2009»
14 years 5 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...