Please use this identifier to cite or link to this item: https://doi.org/10.1109/ICIP.2008.4712483
Title: Towards recognition of facial expressions in sign language: Tracking facial features under occlusion
Authors: Nguyen, T.D.
Ranganath, S. 
Keywords: Bayesian tracker
Facial expressions
Facial feature
KLT
PPCA
Sign language
Tracking
Issue Date: 2008
Source: Nguyen, T.D., Ranganath, S. (2008). Towards recognition of facial expressions in sign language: Tracking facial features under occlusion. Proceedings - International Conference on Image Processing, ICIP : 3228-3231. ScholarBank@NUS Repository. https://doi.org/10.1109/ICIP.2008.4712483
Abstract: Deaf people use facial expressions as a non-manual channel for conveying grammatical information in sign language. Tracking facial features using the Kanade - Lucas - Tomasi (KLT) algorithm is a simple and effective method toward recognizing these facial expressions, which are performed simultaneously with head motions and hand signs. To make the tracker robust under these conditions, a Bayesian framework was developed as a feedback mechanism to the KLT tracker. This mechanism relies on a set of face shape subspaces learned by Probabilistic Principal Component Analysis. An update scheme was utilized to modify these subspaces and adapt to persons with different face shapes. The result shows that the proposed system can track facial features with large head motions, substantial facial deformations, and temporary face occlusions by hand. © 2008 IEEE.
Source Title: Proceedings - International Conference on Image Processing, ICIP
URI: http://scholarbank.nus.edu.sg/handle/10635/72058
ISBN: 1424417643
ISSN: 15224880
DOI: 10.1109/ICIP.2008.4712483
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