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» A Bayesian Framework for Multi-cue 3D Object Tracking
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ICCV
2003
IEEE
13 years 11 months ago
Information Theoretic Focal Length Selection for Real-Time Active 3-D Object Tracking
Active object tracking, for example, in surveillance tasks, becomes more and more important these days. Besides the tracking algorithms themselves methodologies have to be develop...
Joachim Denzler, Matthias Zobel, Heinrich Niemann
ARCS
2005
Springer
13 years 11 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
ICRA
2005
IEEE
183views Robotics» more  ICRA 2005»
13 years 11 months ago
Integration of Model-based and Model-free Cues for Visual Object Tracking in 3D
— Vision is one of the most powerful sensory modalities in robotics, allowing operation in dynamic environments. One of our long-term research interests is mobile manipulation, w...
Ville Kyrki, Danica Kragic
BMVC
2000
13 years 7 months ago
3D Model Acquisition by Tracking 2D Wireframes
This paper presents a semi-automatic wireframe acquisition system. The system uses real-time (25Hz) tracking of a user specified 2D wireframe and intermittent camera pose paramete...
M. Brown, Tom Drummond, Roberto Cipolla
ECCV
2000
Springer
14 years 7 months ago
Stochastic Tracking of 3D Human Figures Using 2D Image Motion
A probabilistic method for tracking 3D articulated human figures in monocular image sequences is presented. Within a Bayesian framework, we define a generative model of image appea...
Hedvig Sidenbladh, Michael J. Black, David J. Flee...