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» Automatic Recognition of Colloquial Australian Sign Language
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WACV
2005
IEEE
13 years 10 months ago
Automatic Recognition of Colloquial Australian Sign Language
This paper presents an automatic Australian sign language (Auslan) recognition system, which tracks multiple target objects (the face and hands) throughout an image sequence and e...
Eun-Jung Holden, Gareth Lee, Robyn A. Owens
ICMCS
2005
IEEE
185views Multimedia» more  ICMCS 2005»
13 years 10 months ago
Automatic Object Trajectory-Based Motion Recognition Using Gaussian Mixture Models
In this paper, we propose a novel technique for modelbased recognition of complex object motion trajectories using Gaussian Mixture Models (GMM). We build our models on Principal ...
Faisal I. Bashir, Ashfaq A. Khokhar, Dan Schonfeld
CVPR
2012
IEEE
11 years 7 months ago
Enhanced continuous sign language recognition using PCA and neural network features
In this work a Gaussian Hidden Markov Model (GHMM) based automatic sign language recognition system is built on the SIGNUM database. The system is trained on appearance-based feat...
Yannick L. Gweth, Christian Plahl, Hermann Ney
HVEI
2009
13 years 2 months ago
Sign language perception research for improving automatic sign language recognition
Current automatic sign language recognition (ASLR) seldom uses perceptual knowledge about the recognition of sign language. Using such knowledge can improve ASLR because it can gi...
Gineke A. ten Holt, Jeroen Arendsen, Huib de Ridde...
ICASSP
2009
IEEE
13 years 11 months ago
Product-HMMs for automatic sign language recognition
We address multistream sign language recognition and focus on efficient multistream integration schemes. Alternative approaches are investigated and the application of Product-HM...
Stavros Theodorakis, Athanassios Katsamanis, Petro...