Bayesian Clustering of Optical Flow Fields

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http://doi.ieeecomputersociety.org/10.1109/ICCV.2003.1238470

Ninth IEEE International Conference o ...

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	Jesse Hoey, James J. Little, "Bayesian Clustering of Optical Flow Fields," Computer Vision, IEEE International Conference on, vol. 2, pp. 1086, Ninth IEEE International Conference on Computer Vision (ICCV'03) - Volume 2, 2003.

	BibTex	x
	@article{ 10.1109/ICCV.2003.1238470, author = {Jesse Hoey and James J. Little}, title = {Bayesian Clustering of Optical Flow Fields}, journal ={Computer Vision, IEEE International Conference on}, volume = {2}, year = {2003}, isbn = {0-7695-1950-4}, pages = {1086}, doi = {http://doi.ieeecomputersociety.org/10.1109/ICCV.2003.1238470}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Computer Vision, IEEE International Conference on TI - Bayesian Clustering of Optical Flow Fields SN - 0-7695-1950-4 SP EP A1 - Jesse Hoey, A1 - James J. Little, PY - 2003 KW - null VL - 2 JA - Computer Vision, IEEE International Conference on ER -

Jesse Hoey, University of British Columbia

James J. Little, University of British Columbia

We present a method for unsupervised learning of classes of motions in video. We project optical flow fields to a complete, orthogonal, a-priori set of basis functions in a probabilistic fashion, which improves the estimation of the projections by incorporating uncertainties in the flows. We then cluster the projections using a mixture of feature-weighted Gaussians over optical flow fields. The resulting model extracts a concise probabilistic description of the major classes of optical flow present. The method is demonstrated on a video of a person's facial expressions.

Citation:

Jesse Hoey, James J. Little, "Bayesian Clustering of Optical Flow Fields," iccv, vol. 2, pp.1086, Ninth IEEE International Conference on Computer Vision (ICCV'03) - Volume 2, 2003

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