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.

• Type: Journal
• Year: 2011
• Where: CVPR
• Authors: Robert Pless, Nathan Jacobs, Michael Dixon, Austin Abrams
• Keywords: Appearance Variations, Computer Vision, CVPR 2011, Large Image Noise, Scene-specific Non-parametric Motion