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ICRA
2003
IEEE
151views Robotics» more  ICRA 2003»
13 years 11 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
CVPR
2007
IEEE
14 years 3 days ago
Target Tracking with Online Feature Selection in FLIR Imagery
We present a particle filter-based target tracking algorithm for FLIR imagery. A dual foreground and background model is proposed for target representation which supports robust ...
Vijay Venkataraman, Guoliang Fan, Xin Fan
ICRA
2003
IEEE
158views Robotics» more  ICRA 2003»
13 years 11 months ago
Probabilistic cooperative localization and mapping in practice
In this paper we present a probabilistic framework for the reduction in the uncertainty of a moving robot pose during exploration by using a second robot to assist. A Monte Carlo ...
Ioannis M. Rekleitis, Gregory Dudek, Evangelos E. ...
ICASSP
2011
IEEE
12 years 9 months ago
Adaptive compressive sensing and processing for radar tracking
Compressive sensing and processing of radar waveforms enables high-resolution tracking while using low sampling rates and inexpensive processing. Compressive processing, however, ...
Ioannis Kyriakides
IVC
2007
89views more  IVC 2007»
13 years 5 months ago
Sequential Monte Carlo tracking by fusing multiple cues in video sequences
This paper presents visual cues for object tracking in video sequences using particle filtering. A consistent histogram-based framework is developed for the analysis of colour, e...
Paul Brasnett, Lyudmila Mihaylova, David R. Bull, ...