Video-based sign recognition using self-organizing subunits

Proceedings - International Conference on Pattern Recognition

Volumn 16, Issue 2, 2002, Pages 434-437

  Bauer, Britta ^a   Kraiss, Karl Friedrich ^a  

^a RWTH AACHEN UNIVERSITY   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

DATABASE SYSTEMS; MARKOV PROCESSES; SPEECH RECOGNITION; STATISTICAL METHODS; SYSTEMS ANALYSIS; VOCABULARY CONTROL; COMPUTATIONAL LINGUISTICS;

AUTOMATIC RECOGNITION; BAYES DECISION RULE; ERROR RATE; SIGN LANGUAGE RECOGNITION SYSTEM;

PATTERN RECOGNITION;

AUTOMATIC RECOGNITION; BAYES DECISION RULES; MINIMUM ERROR RATE; RECOGNITION ACCURACY; SIGN LANGUAGE RECOGNITION; SPEECH RECOGNITION SYSTEMS; STATISTICAL APPROACH; TRAINING MATERIAL;

EID: 21244488127     PISSN: 10514651     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (4)

1. Bauer B., H. Hienz and K.-F. Kraiss: Video-Based Continuous Sign Language Recognition Using Statistical Methods In: Proceedings of the International Conference on Pattern Recognition. Pattern Recognition and Neural Networks, Volume 2, pp. 463-466, September 3-7, Barcelona, ISBN 0-7695-0750-6
2. Jelinek, F.: Statistical Methods For Speech Recognition. MIT Press 1998, ISBN 0262-10066-5
3. Liang, R.H. and M. Ouhyoung:A Real-Time Continuous Gestrue Recognition System for Sign Language. In Proceedings of the Third Int. Conference on Automatic Face and Gesture Recognition, Nara (Japan), pp. 558-565 1998.
4. Vogler, C. and D. Metaxas: Toward Scalability in ASL Recognition: Breaking Down Signs into Phonemes.In: Int. Gesture Workshop Gif-sur-Yvette, France 1999