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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
FGR
2002
IEEE
185views Biometrics» more  FGR 2002»
14 years 14 days ago
Hand Gesture Recognition using Multi-Scale Colour Features, Hierarchical Models and Particle Filtering
This paper presents algorithms and a prototype system for hand tracking and hand posture recognition. Hand postures are represented in terms of hierarchies of multi-scale colour i...
Lars Bretzner, Ivan Laptev, Tony Lindeberg
CVPR
2001
IEEE
14 years 9 months ago
Automatic Partitioning of High Dimensional Search Spaces Associated with Articulated Body Motion Capture
Particle filters have proven to be an effective tool for visual tracking in non-gaussian, cluttered environments. Conventional particle filters however do not scale to the problem...
Jonathan Deutscher, Andrew J. Davison, Ian D. Reid
CVPR
2007
IEEE
14 years 9 months ago
Tracking-as-Recognition for Articulated Full-Body Human Motion Analysis
This paper addresses the problem of markerless tracking of a human in full 3D with a high-dimensional (29D) body model. Most work in this area has been focused on achieving accura...
Patrick Peursum, Svetha Venkatesh, Geoff A. W. Wes...
CAIP
2009
Springer
249views Image Analysis» more  CAIP 2009»
14 years 2 months ago
Real-Time Volumetric Reconstruction and Tracking of Hands in a Desktop Environment
A probabilistic framework for vision based volumetric reconstruction and marker free tracking of hand and face volumes is presented, which exclusively relies on off-the-shelf hardw...
Christoph John, Ulrich Schwanecke, Holger Regenbre...