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Author:Luzardo, Marcos
Title:Eye and mouth openness estimation in sign language and news broadcast videos
Publication type:Master's thesis
Publication year:2014
Pages:94 s. + liitt. 14      Language:   eng
Department/School:Perustieteiden korkeakoulu
Main subject:Informaatiotekniikka   (T-61)
Supervisor:Laaksonen, Jorma
Instructor:Viitaniemi, Ville
Electronic version URL: http://urn.fi/URN:NBN:fi:aalto-201409252672
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Location:P1 Ark Aalto  1774   | Archive
Keywords:facial state recognition
sign language analysis
news broadcast analysis
eye openness
mouth openness
eyebrow position
Abstract (eng): Currently there exists an increasing need of automatic video analysis tools to support sign language studies and the evaluation of the activity of the face in sign language and other videos.
Henceforth, research focusing on automatic estimation and annotation of videos and facial gestures is continuously developing.
In this work, techniques for the estimation of eye and mouth openness and eyebrow position are studied.
Such estimation could prove beneficial for automatic annotation and quantitative evaluation of sign language videos as well as towards more prolific production of sign language material.

The method proposed for the estimation of the eyebrow position, eye openness, and mouth state is based on the construction of a set of facial landmarks that employ different detection techniques designed for each facial element.
Furthermore, we compare the presented landmark detection algorithm with a recently published third-party face alignment algorithm.
The landmarks are used to compute features which describe the geometric information of the elements of the face.
The features constitute the input for the classifiers that can produce quantized openness estimates for the studied facial elements.
Finally, the estimation performance of the estimations is evaluated in quantitative and qualitative experiments with sign language and news broadcast videos.
ED:2014-06-30
INSSI record number: 49352
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