Facial Feature Tracking and Expression Recognition for Sign Language

Language: English

Published by LAP LAMBERT Academic Publishing Sep 2010, 2010

3838327136 / 9783838327136

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This item is printed on demand - Print on Demand Titel. Neuware -The focus of this work is on classifying the most common non-manual (facial) gestures in Sign Language. This goal is achieved in two consecutive steps: First, automatic facial landmarking is performed based on Multi-resolution Active Shape Models (MRASMs). Second, the tracked landmarks are normalized and expression classification is done based on multivariate Continuous Hidden Markov Model (CHMMs). We collected a video database of expressions from Turkish Sign Language (TSL) to test the proposed approach. The expressions used are universal and the results are applicable to other sign languages. Single view vs. multi-view and person specific vs. generic MRASM trackers are compared both for tracking and expression recognition. The multi-view person-specific tracker performs the best and tracks the landmarks robustly. For expression classification, the proposed CHMM classifier is tested on different training and test set combinations and the results are reported. We observe that the classification performances of distinct classes are very high.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 96 pp. Englisch.…

Seller Inventory # 9783838327136

Title
Facial Feature Tracking and Expression Recognition for Sign Language
Author
¿Smail Ar¿
Publisher
LAP LAMBERT Academic Publishing Sep 2010
Publication year
2010
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
3838327136
ISBN 13
9783838327136
Item weight
161 grams
Dimensions
220x150x7 mm

buchversandmimpf2000

Emtmannsberg, BAYE, Germany

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