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» Complex Articulated Object Tracking
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ICASSP
2011
IEEE
12 years 11 months ago
Particle algorithms for filtering in high dimensional state spaces: A case study in group object tracking
We briefly present the current state-of-the-art approaches for group and extended object tracking with an emphasis on particle methods which have high potential to handle complex...
Lyudmila Mihaylova, Avishy Carmi
HUMO
2007
Springer
13 years 9 months ago
Gradient-Enhanced Particle Filter for Vision-Based Motion Capture
Tracking of rigid and articulated objects is usually addressed within a particle filter framework or by correspondence based gradient descent methods. We combine both methods, suc...
Daniel Grest, Volker Krüger
ENGL
2007
336views more  ENGL 2007»
13 years 7 months ago
Neural Network Based Controller for Visual Servoing of Robotic Hand Eye System
— In this paper a neural network based controller for robot positioning and tracking using direct monocular visual feedback is proposed. The visual information is provided using ...
Vikas Panwar, N. Sukavanam
ARCS
2005
Springer
14 years 1 months ago
Self-Organizing, Adaptive Data Fusion for 3d Object Tracking
Data fusion concepts are a necessary basis for utilizing complex networks of sensors. A key feature for a robust data fusion system is adaptivity, both to be fault-tolerant and to...
Olaf Kähler, Joachim Denzler
IWINAC
2009
Springer
14 years 2 months ago
Optimised Particle Filter Approaches to Object Tracking in Video Sequences
In this paper, the ways of optimising a Particle Filter video tracking algorithm are investigated. The optimisation scheme discussed in this work is based on hybridising a Particle...
Artur Loza, Fanglin Wang, Miguel A. Patricio, Jes&...