Enhancing a Sign Language Translation System with Vision-Based Features
Gesture-Based Human-Computer Interaction and Simulation
Smoothed Disparity Maps for Continuous American Sign Language Recognition
IbPRIA '09 Proceedings of the 4th Iberian Conference on Pattern Recognition and Image Analysis
Towards automated large vocabulary gesture search
Proceedings of the 2nd International Conference on PErvasive Technologies Related to Assistive Environments
A Similarity Measure for Vision-Based Sign Recognition
UAHCI '09 Proceedings of the 5th International Conference on Universal Access in Human-Computer Interaction. Part III: Applications and Services
Spoken Spanish generation from sign language
Interacting with Computers
A database-based framework for gesture recognition
Personal and Ubiquitous Computing
LSESpeak: A spoken language generator for Deaf people
Expert Systems with Applications: An International Journal
Tracking benchmark databases for video-based sign language recognition
ECCV'10 Proceedings of the 11th European conference on Trends and Topics in Computer Vision - Volume Part I
A system for large vocabulary sign search
ECCV'10 Proceedings of the 11th European conference on Trends and Topics in Computer Vision - Volume Part I
| Hi-index | 0.00 |
Up to now, continuous sign language recognition is mainly based on statistical methods, especially Hidden Markov Models (HMM) and Viterbi-Beam searching. However, the recognition speed often gets unacceptable with an increased vocabulary, which could cause a long time delay that is not fit for the real time recognition system. To speed up the recognition process, we present a method using One-Pass (OP) pre-searching before Viterbi recognition. The experiments are processed in the large vocabulary database. Results show that the average recognition speed of OP/Viterbi approach can get a notable raise comparing with the single frame's without reducing too much recognition accuracy.