Billy Timlen
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(u,v) = inv(AtA)*At*Ft
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Analyze the pixels around the point of interest
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Works for slow motion and small areas
◦ Derived from fx*u +fy*v = -ft (after taking the partial
derivative in terms of each variable x,y,t
◦ Requires a degree of padding
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Reduces the original image into different
levels
◦ Impyramid(image, ‘reduce’)
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Computes Optical flow for each level
◦ Shifts derivative mask by u and v of prior level
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Add the optical flows of each level
Should record more detailed results of
motion
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Input: 18x18 patch, keypoint and orientation
angle
Outputs a descriptor
◦ Histogram of orientation magnitudes
Results vary according to the Gaussian used (for
smoothing) and the sigma used (which affects
the Gaussian)
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Work with different types of masks
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Use different forms of interpolation
◦ MatLab has their own function
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Use another form of rounding the noninteger indices from u and v
◦ Gonzalo sent us a bilinear function to look at
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Optimal Algorithms for Topologically
Constrained Correspondence
Bayesian Formulation for Event Recounting
given Event Label
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3D Joint Localization for Gesture Recognition
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GPS-Tag Refinement