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ICCV
2009
IEEE
15 years 1 months ago
Bayesian selection of scaling laws for motion modeling in images
Based on scaling laws describing the statistical structure of turbulent motion across scales, we propose a multiscale and non-parametric regularizer for optic-flow estimation. R...
Patrick H´eas, Etienne M´emin, Dominique Heitz, ...
CVPR
2008
IEEE
14 years 11 months ago
Real-time pose estimation of articulated objects using low-level motion
We present a method that is capable of tracking and estimating pose of articulated objects in real-time. This is achieved by using a bottom-up approach to detect instances of the ...
Ben Daubney, David P. Gibson, Neill W. Campbell
ICCV
1995
IEEE
14 years 14 days ago
A Multi-Body Factorization Method for Motion Analysis
The structure-from-motion problem has been extensively studied in the field of computer vision. Yet, the bulk of the existing work assumes that the scene contains only a single m...
João Paulo Costeira, Takeo Kanade
ICCV
1995
IEEE
14 years 14 days ago
Recovering 3D Motion of Multiple Objects Using Adaptive Hough Transform
—We present a method to determine 3D motion and structure of multiple objects from two perspective views, using adaptive Hough transform. In our method, segmentation is determine...
Tina Yu Tian, Mubarak Shah
CVPR
2000
IEEE
14 years 11 months ago
Impact of Dynamic Model Learning on Classification of Human Motion
The human figure exhibits complex and rich dynamic behavior that is both nonlinear and time-varying. However, most work on tracking and analysis of figure motion has employed eith...
Vladimir Pavlovic, James M. Rehg