Fast Texture-Based Tracking and Delineation Using Texture Entropy

Authors:
Ali Shahrokni;Tom Drummond;Pascal Fua
Affiliations:
Ecole Polytechnique Fédérale de Lausanne;University of Cambridge;Ecole Polytechnique Fédérale de Lausanne
Venue:
ICCV '05 Proceedings of the Tenth IEEE International Conference on Computer Vision - Volume 2
Year:
2005

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Abstract

We propose a fast texture-segmentation approach to the problem of 2-D and 3-D model-based contour tracking, which is suitable for real-time or interactive applications. Our approach relies on detecting texture boundaries in the direction normal to the contour boundaries and on using a Hidden Markov model to link these boundary points in the other direction. The probabilities that appear in this computation closely relate to texture entropy and Kullback-Leibler divergence, a property we use to compute and update dynamic texture models. We demonstrate results both in the context of interactive 2-D delineation and fast 3-D tracking.