Lip reading based on sampled active contour model

Authors:
Takeshi Saitoh;Ryosuke Konishi
Affiliations:
Dept. of Electrical and Electronic Engineering, Tottori University, Tottori, Japan;Dept. of Electrical and Electronic Engineering, Tottori University, Tottori, Japan
Venue:
ICIAR'05 Proceedings of the Second international conference on Image Analysis and Recognition
Year:
2005

Citing 2
Cited 1

Extraction of Visual Features for Lipreading

IEEE Transactions on Pattern Analysis and Machine Intelligence
Visual speech recognition using active shape models and hidden Markov models

ICASSP '96 Proceedings of the Acoustics, Speech, and Signal Processing, 1996. on Conference Proceedings., 1996 IEEE International Conference - Volume 02

Intelligent wheelchair multi-modal human-machine interfaces in lip contour extraction based on PMM

ROBIO'09 Proceedings of the 2009 international conference on Robotics and biomimetics

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Abstract

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.