View-based detection and analysis of periodic motion

@article{Cutler1998ViewbasedDA,
  title={View-based detection and analysis of periodic motion},
  author={Ross Cutler and Larry S. Davis},
  journal={Proceedings. Fourteenth International Conference on Pattern Recognition (Cat. No.98EX170)},
  year={1998},
  volume={1},
  pages={495-500 vol.1}
}
  • Ross Cutler, L. Davis
  • Published 16 August 1998
  • Computer Science, Mathematics
  • Proceedings. Fourteenth International Conference on Pattern Recognition (Cat. No.98EX170)
We describe a 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. 
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