| Autor: |
Kamel, Mohamed, Campilho, Aurélio, Saitoh, Takeshi, Konishi, Ryosuke |
| Zdroj: |
Image Analysis & Recognition; 2005, p507-515, 9p |
| Abstrakt: |
This paper describes a model-based method for detecting lip region from image sequences. Our approach is by Sampled Active Contour Model (S-ACM). The original S-ACM has the problem which can't expand. To overcome this problem, we propose the elastic S-ACM. Moreover, based on the extracted lip contour, the effective delta radius features are fed to the word HMM. We recorded ten words that uses for the wheelchair control, and obtained a recognition rate of 89% with twelve features. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Supplemental Index |
| Externí odkaz: |
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