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2011
IEEE

On analyzing video with very small motions

8 years 1 months ago
On analyzing video with very small motions
We characterize a class of videos consisting of very small but potentially complicated motions. We find that in these scenes, linear appearance variations have a direct relationship to scene motions. We show how to interpret appearance variations captured through a PCA decomposition of the image set as a scene-specific non-parametric motion basis. We propose fast, robust tools for dense flow estimates that are effective in scenes with small motions and potentially large image noise. We show example results in a variety of applications, including motion segmentation and long-term point tracking.
Robert Pless, Nathan Jacobs, Michael Dixon, Austin
Added 30 Apr 2011
Updated 30 Apr 2011
Type Journal
Year 2011
Where CVPR
Authors Robert Pless, Nathan Jacobs, Michael Dixon, Austin Abrams
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