Affine Invariant Detection of Periodic Motion
Conference Paper, Proceedings of (CVPR) Computer Vision and Pattern Recognition, pp. 970 - 975, June, 1994
Abstract
Current approaches for detecting periodic motion assume a stationary camera and place limits on an object's motion. These approaches rely on the assumption that a periodic motion projects to a set of periodic image curves, an assumption that is invalid in general. Using affine-invariance, we derive necessary and sufficient conditions for an image sequence to be the projection of a periodic motion. No restrictions are placed on either the motion of the camera or the object. Our algorithm is shown to be provably-correct for noise-free data and is extended to be robust with respect to occlusions and noise. The extended algorithm is evaluated with real and synthetic image sequences.
BibTeX
@conference{Seitz-1994-16081,author = {Steven Seitz and C. R. Dyer},
title = {Affine Invariant Detection of Periodic Motion},
booktitle = {Proceedings of (CVPR) Computer Vision and Pattern Recognition},
year = {1994},
month = {June},
pages = {970 - 975},
}
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