Dynamic texture recognition

Saisan, P., Doretto, G., Wu, Y. N., and Soatto, S.
Dynamic texture recognition. In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp. 58–63, Kauai, Hawaii, USA, December 2001.

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Abstract

Dynamic textures are sequences of images that exhibit some form of temporal stationarity, such as waves, steam, and foliage. We pose the problem of recognizing and classifying dynamic textures in the space of dynamical systems where each dynamic texture is uniquely represented. Since the space is non-linear, a distance between models must be defined. We examine three different distances in the space of autoregressive models and assess their power.

@INPROCEEDINGS{saisanDWS01cvpr,
  author = {Saisan, P. and Doretto, G. and Wu, Y. N. and Soatto, S.},
  title = {Dynamic texture recognition},
  booktitle = cvpr,
  year = {2001},
  volume = {2},
  pages = {58--63},
  address = {Kauai, Hawaii, USA},
  month = dec,
  note = {\btohremove{\textsf{\textbf{SCC: 15, GSCC: 39, AR: 29.7\%}}}},
  bib2html_pubtype = {Refereed Conferences},
  bib2html_rescat = {Dynamic Textures, Visual Motion Recognition},
  abstract = {Dynamic textures are sequences of images that exhibit some form of
	temporal stationarity, such as waves, steam, and foliage. We pose
	the problem of recognizing and classifying dynamic textures in the
	space of dynamical systems where each dynamic texture is uniquely
	represented. Since the space is non-linear, a distance between models
	must be defined. We examine three different distances in the space
	of autoregressive models and assess their power.},
  file = {saisanDWS01cvpr.pdf:doretto\\conference\\saisanDWS01cvpr.pdf:PDF},
  owner = {doretto},
  pdf = {doretto\conference\saisanDWS01cvpr.pdf}
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