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GW
2005
Springer
136views Biometrics» more  GW 2005»
13 years 9 months ago
Gesture Recognition Using Image Comparison Methods
Abstract. We introduce the use of appearance-based features, and tangent distance or the image distortion model to account for image variability within the hidden Markov model emis...
Philippe Dreuw, Daniel Keysers, Thomas Deselaers, ...
ACCV
2006
Springer
13 years 7 months ago
Gesture Recognition Using Quadratic Curves
Abstract. This paper presents a novel method for human gesture recognition based on quadratic curves. Firstly, face and hands in the images are extracted by skin color and their ce...
Qiulei Dong, Yihong Wu, Zhanyi Hu
FGR
2000
IEEE
157views Biometrics» more  FGR 2000»
13 years 8 months ago
Hand Gesture Recognition Using Input-Output Hidden Markov Models
A new hand gesture recognition method based on Input– Output Hidden Markov Models is presented. This method deals with the dynamic aspects of gestures. Gestures are extracted fr...
Sébastien Marcel, Olivier Bernier, Jean-Emm...
ICTAI
2006
IEEE
13 years 9 months ago
Modeling and Recognition of Gesture Signals in 2D Space: A Comparison of NN and SVM Approaches
In this paper we introduce a novel technique for modeling and recognizing gesture signals in 2D space. This technique is based on measuring the direction of the gradient of the mo...
Farhad Dadgostar, Abdolhossein Sarrafzadeh, Chao F...
ICMCS
2007
IEEE
307views Multimedia» more  ICMCS 2007»
13 years 10 months ago
A Real-Time Hand Gesture Recognition Method
Compared with the traditional interaction approaches, such as keyboard, mouse, pen, etc, vision based hand interaction is more natural and efficient. In this paper, we proposed a...
Yikai Fang, Kongqiao Wang, Jian Cheng, Hanqing Lu