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FGR
2006
IEEE
205views Biometrics» more  FGR 2006»
14 years 1 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...
WACV
2005
IEEE
14 years 1 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
DAGM
2005
Springer
14 years 1 months ago
Combination of Tangent Distance and an Image Distortion Model for Appearance-Based Sign Language Recognition
In this paper, we employ a zero-order local deformation model to model the visual variability of video streams of American sign language (ASL) words. We discuss two possible ways o...
Morteza Zahedi, Daniel Keysers, Thomas Deselaers, ...
ICMI
2003
Springer
166views Biometrics» more  ICMI 2003»
14 years 29 days ago
Georgia tech gesture toolkit: supporting experiments in gesture recognition
Gesture recognition is becoming a more common interaction tool in the fields of ubiquitous and wearable computing. Designing a system to perform gesture recognition, however, can...
Tracy L. Westeyn, Helene Brashear, Amin Atrash, Th...
GW
2007
Springer
93views Biometrics» more  GW 2007»
14 years 1 months ago
Sequential Belief-Based Fusion of Manual and Non-manual Information for Recognizing Isolated Signs
Abstract. This work aims to recognize signs which have both manual and nonmanual components by providing a sequential belief-based fusion mechanism. We propose a methodology based ...
Oya Aran, Thomas Burger, Alice Caplier, Lale Akaru...