Proceedings of the International Conference on Pattern Recognition, Brisbane, Australia (1998) DOI:10.1109/ICPR.1998.711189
View-based detection and analysis of periodic motion
R. Cutler, L. DavisWe describe a new technique that detects periodic motion. Assuming a static camera, we first segment moving objects from the background. By tracking objects of interest, we compute the object s self-similarity as it evolves in time. For periodic motion, the self-similarity metric is periodic, and is Fourier analyzed to detect and characterize periodicity. Examples on real image sequences are given.