Real-Time Periodic Motion Detection, Analysis, and Applications

Abstract

We describe a new technique to detect and analyze periodic motion as seen from both a static and moving camera. By tracking objects of interest, we compute an object’s self-similarity as it evolves in time. For periodic motion, the self-similarity measure is also periodic, and we apply time-frequency analysis to detect and characterize the periodic motion. A real-time system has been implemented to track and classify objects using periodicity. Examples of object classification, person counting, and non-stationary periodicity are provided.

DOI: 10.1109/CVPR.1999.784652

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@inproceedings{Cutler1999RealTimePM, title={Real-Time Periodic Motion Detection, Analysis, and Applications}, author={Ross Cutler and Larry S. Davis}, booktitle={CVPR}, year={1999} }