Facial Feature Tracking and Expression Recognition for Sign Language

Name: Facial Feature Tracking and Expression Recognition for Sign Language
Brand: LAP Lambert Academic Publishing
SKU: 9783838327136
Price: 234.65 RON
Availability: InStock

Automatic recognition of common facial gestures in sign languages using single camera input

Autor: Ismail Ari

Limbă:

Legare: Carte broșată

Editura: LAP Lambert Academic Publishing

Disponibilitate: În depozitul extern

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The focus of this work is on classifying the most common non-manual (facial) gestures in Sign Langua...

Informații despre carte

Autor

Ismail Ari

Limbă

engleză

Legare

Carte - Carte broșată

Publicat

2009

Pagini

EAN

9783838327136

Enbook ID

06861128

Editura

LAP Lambert Academic Publishing

Greutate

161

Dimensiuni

150 x 220 x 6

Descriere completă

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.

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Facial Feature Tracking and Expression Recognition for Sign Language

Automatic recognition of common facial gestures in sign languages using single camera input

Informații despre carte

Descriere completă

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