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Tongue tracking in Ultrasound images with Active Appearance Models

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3 Author(s)
Anastasios Roussos ; School of ECE, National Technical University of Athens, Greece ; Athanassios Katsamanis ; Petros Maragos

Tongue Ultrasound imaging is widely used for human speech production analysis and modeling. In this paper, we propose a novel method to automatically detect and track the tongue contour in Ultrasound (US) videos. Our method is built on a variant of Active Appearance Modeling. It incorporates shape prior information and can estimate the entire tongue contour robustly and accurately in a sequence of US frames. Experimental evaluation demonstrates the effectiveness of our approach and its improved performance compared to previously proposed tongue tracking techniques.

Published in:

2009 16th IEEE International Conference on Image Processing (ICIP)

Date of Conference:

7-10 Nov. 2009