Affine invariant detection of periodic motion
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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 fails 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 easily extended to be robust with respect to occlusions and noise. The extended algorithm is evaluated with real and synthetic image sequences.<<ETX>>
[1] Charles R. Dyer,et al. Cyclic motion detection using spatiotemporal surfaces and curves , 1990, [1990] Proceedings. 10th International Conference on Pattern Recognition.
[2] G. Stewart. Introduction to matrix computations , 1973 .
[3] Randal C. Nelson,et al. Detecting activities , 1993, Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.
[4] Karl Rohr,et al. Incremental recognition of pedestrians from image sequences , 1993, Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.