Quasi-Periodic Spatiotemporal Filtering G. J. Burghouts, J. M. Geusebroek In IEEE Transactions on Image Processing 2006. [bibtex] [pdf] [url]

This paper presents the online estimation of temporal frequency to simultaneously detect and identify the quasi-periodic motion of an object. We introduce color to increase discriminative power of a reoccurring object and to provide robustness to appearance changes due to illumination changes. Spatial contextual information is incorporated by considering the object motion at different scales. We combined spatiospectral Gaussian filters and a temporal reparameterized Gabor filter to construct the online temporal frequency filter. We demonstrate the online filter to respond faster and decay faster than off-line Gabor filters. Further, we show the online filter to be more selective to the tuned frequency than Gabor filters. We contribute to temporal frequency analysis in that we both identify (what) and detect (when) the frequency. In color video, we demonstrate the filter to detect and identify the periodicity of natural motion. The velocity of moving gratings is determined in a real world example. We consider periodic and quasi-periodic motion of both stationary and non-stationary objects.

@Article{BurghoutsTIP2006,
  author       = "Burghouts, G. J. and Geusebroek, J. M.",
  title        = "Quasi-Periodic Spatiotemporal Filtering",
  journal      = "IEEE Transactions on Image Processing",
  number       = "6",
  volume       = "15",
  pages        = "1572--1582",
  year         = "2006",
  url          = "https://ivi.fnwi.uva.nl/isis/publications/2006/BurghoutsTIP2006",
  pdf          = "https://ivi.fnwi.uva.nl/isis/publications/2006/BurghoutsTIP2006/BurghoutsTIP2006.pdf",
  has_image    = 1
}