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» Recognizing Sign Language from Brain Imaging
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ICIP
2008
IEEE
16 years 1 months ago
Geodesic active regions for segmentation and tracking of human gestures in sign language videos
Reliable segmentation and motion tracking algorithms are required to achieve gesture detection and tracking for human-machine interaction. In this paper we present an efficient me...
Olga Diamanti, Petros Maragos
AGI
2011
14 years 3 months ago
Generalization of Figure-Ground Segmentation from Binocular to Monocular Vision in an Embodied Biological Brain Model
Abstract. Humans have the remarkable ability to generalize from binocular to monocular figure-ground segmentation of complex scenes. This is clearly evident anytime we look at a p...
Brian Mingus, Trent Kriete, Seth A. Herd, Dean Wya...
CVPR
2012
IEEE
13 years 2 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
FGR
2008
IEEE
198views Biometrics» more  FGR 2008»
15 years 6 months ago
Recognizing hand gestures using dynamic Bayesian network
In this paper, we describe a dynamic Bayesian network or DBN based approach to both two-hand gestures and onehand gestures. Unlike wired glove-based approaches, the success of cam...
Heung-Il Suk, Bong-Kee Sin, Seong-Whan Lee
IBPRIA
2005
Springer
15 years 5 months ago
Appearance-Based Recognition of Words in American Sign Language
In this paper, we present how appearance-based features can be used for the recognition of words in American sign language (ASL) from a video stream. The features are extracted wit...
Morteza Zahedi, Daniel Keysers, Hermann Ney