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» Supervised Training Based Hand Gesture Recognition System
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GW
2005
Springer
242views Biometrics» more  GW 2005»
14 years 1 months ago
Finger Tracking Methods Using EyesWeb
This paper compares different algorithms for tracking the position of fingers in a two-dimensional environment. Four algorithms have been implemented in EyesWeb, developed by DIS...
Anne-Marie Burns, Barbara Mazzarino
TEI
2010
ACM
147views Hardware» more  TEI 2010»
14 years 2 months ago
A robust and accurate 3d hand posture estimation method for interactive systems
In this paper, a new 3D hand posture estimation system using a single camera and 3 interactive systems are introduced. Existing hand gesture recognition systems estimate hand'...
Emi Tamaki
FGR
2004
IEEE
231views Biometrics» more  FGR 2004»
13 years 11 months ago
A Boosted Classifier Tree for Hand Shape Detection
The ability to detect a persons unconstrained hand in a natural video sequence has applications in sign language, gesture recognition and HCI. This paper presents a novel, unsuper...
Eng-Jon Ong, Richard Bowden
CVPR
2009
IEEE
15 years 1 months ago
Learning Signs from Subtitles: A Weakly Supervised Approach to Sign Language Recognition
This paper introduces a fully-automated, unsupervised method to recognise sign from subtitles. It does this by using data mining to align correspondences in sections of videos. Bas...
Helen Cooper, Richard Bowden
IRAL
2003
ACM
14 years 26 days ago
Korean named entity recognition using HMM and CoTraining model
Namedentityrecognition isimportantinsophisticatedinformation service system such as Question Answering and Text Mining since most of the answer type and text mining unit depend on...
Euisok Chung, Yi-Gyu Hwang, Myung-Gil Jang