Bayesian Clustering of Optical Flow Fields

Authors:
Jesse Hoey;James J. Little
Affiliations:
-;-
Venue:
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Year:
2003

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Abstract

We present a method for unsupervised learning of classesof motions in video. We project optical flow fields to a complete,orthogonal, a-priori set of basis functions in a probabilisticfashion, which improves the estimation of the projectionsby incorporating uncertainties in the flows. We thencluster the projections using a mixture of feature-weightedGaussians over optical flow fields. The resulting modelextracts a concise probabilistic description of the majorclasses of optical flow present. The method is demonstratedon a video of a person's facial expressions.