Adaptive Appearance Models for 2D Tracking

Research Overview

Allan Jepson, Thomas El-Maraghi (University of Toronto) and I have developed an approach to learning 2D models of image appearance for stable, accurate 2D tracking. The approach works with an online version of the EM algorithm to identify stable image structure during tracking. In this way the most stable regions can play the most significant role in the tracking, to facilitate tracking over long image sequences with precise image alignment. This work was awarded Runner-Up for the Best Paper at the IEEE Conference on Compuer Vision and Pattern Recognition in 2001.

Related Publications

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