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» Product-HMMs for automatic sign language recognition
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FGR
2006
IEEE
205views Biometrics» more  FGR 2006»
13 years 11 months ago
Tracking Using Dynamic Programming for Appearance-Based Sign Language Recognition
We present a novel tracking algorithm that uses dynamic programming to determine the path of target objects and that is able to track an arbitrary number of different objects. The...
Philippe Dreuw, Thomas Deselaers, David Rybach, Da...
CVPR
2009
IEEE
15 years 12 days ago
Automated Extraction of Signs from Continuous Sign Language Sentences using Iterated Conditional Modes
Recognition of signs in sentences requires a training set constructed out of signs found in continuous sentences. Currently, this is done manually, which is a tedious process. I...
Barbara L. Loeding, Sudeep Sarkar, Sunita Nayak
GW
2007
Springer
135views Biometrics» more  GW 2007»
13 years 11 months ago
Person-Independent 3D Sign Language Recognition
In this paper, we present a person independent 3D system for judging the correctness of a sign. The system is camera-based, using computer vision techniques to track the hand and e...
Jeroen Lichtenauer, Gineke A. ten Holt, Marcel J. ...
ICMCS
2005
IEEE
185views Multimedia» more  ICMCS 2005»
13 years 11 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
ICIP
2005
IEEE
13 years 11 months ago
HMM-based motion recognition system using segmented PCA
In this paper, we propose a novel technique for modelbased recognition of complex object motion trajectories using Hidden Markov Models (HMM). We build our models on Principal Com...
Faisal I. Bashir, Wei Qu, Ashfaq A. Khokhar, Dan S...