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» Using Optical Flow for Tracking
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CVPR
2008
IEEE
14 years 11 months ago
FusionFlow: Discrete-continuous optimization for optical flow estimation
Accurate estimation of optical flow is a challenging task, which often requires addressing difficult energy optimization problems. To solve them, most top-performing methods rely ...
Victor S. Lempitsky, Stefan Roth, Carsten Rother
CVPR
2008
IEEE
14 years 11 months ago
Local grouping for optical flow
Optical flow estimation requires spatial integration, which essentially poses a grouping question: what points belong to the same motion and what do not. Classical local approache...
Xiaofeng Ren
CVPR
2008
IEEE
14 years 11 months ago
The Kneed Walker for human pose tracking
The Kneed Walker is a physics-based model derived from a planar biomechanical characterization of human locomotion. By controlling torques at the knees, hips and torso, the model ...
Marcus A. Brubaker, David J. Fleet
ICCV
2005
IEEE
14 years 2 months ago
On the Spatial Statistics of Optical Flow
We develop a method for learning the spatial statistics of optical flow fields from a novel training database. Training flow fields are constructed using range images of natur...
Stefan Roth, Michael J. Black
ECCV
2010
Springer
14 years 2 months ago
TriangleFlow: Optical Flow with Triangulation-based Higher-Order Likelihoods
Abstract. We use a simple yet powerful higher-order conditional random field (CRF) to model optical flow. It consists of a standard photoconsistency cost and a prior on affine mo...