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ICCV
2009
IEEE
13 years 6 months ago
Real-time visual tracking via Incremental Covariance Tensor Learning
Visual tracking is a challenging problem, as an object may change its appearance due to pose variations, illumination changes, and occlusions. Many algorithms have been proposed t...
Yi Wu, Jian Cheng, Jinqiao Wang, Hanqing Lu
ICPR
2006
IEEE
14 years 10 months ago
Performance driven facial animation using illumination independent appearance-based tracking
We introduce a procedure to estimate human face high level animation parameters from a marker-less image sequence in presence of strong illumination changes. We use an efficient a...
Enrique Muñoz, José Miguel Buenaposa...
MIRAGE
2009
Springer
14 years 3 months ago
Tracking Human Motion with Multiple Cameras Using an Articulated Model
This paper presents a markerless motion capture pipeline based on volumetric reconstruction, skeletonization and articulated ICP with hard constraints. The skeletonization produces...
Davide Moschini, Andrea Fusiello
ICPR
2002
IEEE
14 years 10 months ago
Interacting Multiple Model (IMM) Kalman Filters for Robust High Speed Human Motion Tracking
Accurate and robust tracking of humans is of growing interest in the image processing and computer vision communities. The ability of a vision system to track the subjects and acc...
Michael E. Farmer, Rein-Lien Hsu, Anil K. Jain
ICPR
2000
IEEE
14 years 10 months ago
Tracking Humans from a Moving Platform
Research at the Computer Vision Laboratory at the University of Maryland has focussed on developing algorithms and systems that can look at humans and recognize their activities i...
Larry S. Davis, Vasanth Philomin, Ramani Duraiswam...