A system for sign language recognition using fuzzy object similarity tracking

Proceedings of the International Conference on Information Visualisation

Volumn 2005, Issue , 2005, Pages 233-238

  Sarfraz, M ^a   Syed, Yusuf A ^a   Zeeshan, M ^a  

^a KING FAHD UNIVERSITY OF PETROLEUM AND MINERALS   (Saudi Arabia)

Author keywords

[No Author keywords available]

Indexed keywords

FUZZY SETS; HUMAN COMPUTER INTERACTION; MARKOV PROCESSES; MATHEMATICAL MODELS; OBJECT RECOGNITION; TRACKING (POSITION); VIRTUAL REALITY;

FUZZY OBJECT; SIGN LANGUAGE RECOGNITION;

SPEECH RECOGNITION;

EID: 33749041066     PISSN: 10939547     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IV.2005.14     Document Type: Conference Paper

References (13)

1. Britta Bauer and Hermann Hienz, "Relevant Features for Video-Based Continuous Sign Language Recognition", Proceedings of the Fourth IEEE International Conference on Automatic Face and Gesture Recognition, 2000.
2. th International Conference on Pattern Recognition, September 3-7, 2000, Barcelona, Spain, pp. 849-853.
3. C. Vogler and D. Metaxas, "ASL Recognition Based on a Coupling Between HMMs and 3D Motion Analysis", Proceedings of the International Conference on Computer Vision, Mumbai, India, January 1998, pp. 363-369.
4. G. Kirsti and A. Marcell, "Isolated sign language recognition using Hidden Markov Models", IEEE International Conference on Systems, Man & Cybernetics, Piscataway, NJ Institute of Electrical & Electronics Engineers, 1997, pp. 162-167.
5. C. Vogler and D. Metaxas, "Adapting hidden Markov models for ASL recognition by using three-dimensional computer vision methods", Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, Orlando, FL, 1997, pp 156-161.
6. Thad Starner and Alex Pentland, "Real-time American sign language recognition from video using hidden markov models", Technical report, M.I. T Media Laboratory Perceptual Computing Section, 1995. Technical Report No. 375, http://www.media.mit.edu.
7. Henrik Birk, "Recognizing Gestures from the Hand Alphabet using Principal Component Analysis", Masters Thesis, Laboratory of Image Analysis, Aalborg University, Denmark, October 1996.
8. Kazuyoshi Y., Toshio K. and Yoshinao A., "Recognition of Japanese Sign Language from Image Sequence using Color Combination", Proceedings of International Conference on Image Processing, Lausanne, Switzerland, 16-19 Sept, 1996.
9. Chung-Lin, Wen-Yi and Cheng-Chang, "Sign Language Recognition using 3D Hopfield Neural Network", International Conference on Image Processing, Volume 2, Washington D.C, October 23 - 26, 1995.
10. Henry Chang and Ulises Robles, "Face Detection", http://www-cs-students.Stanford.edu/robles/ee368/main.html.
11. Jeff A. Bilmes, "A Gentle Tutorial of the EM Algorithm and its Application to Parameter Estimation for Gaussian Mixture and Hidden Markov Models", Technical Report, University of Berkeley, ICSI-TR-97-021, 1997
12. Sarfraz M., Mohandes M. and Muzaffar S., "Video Based Isolated Arabic Sign Language Recognition Using HMM and the EM Algorithm", The Proceedings of the 2nd IEEE-GCC Conference on Advancing Technology in the GCC:Challenges and Solutions, Manama, Kingdom of Bahrain, November 23-25, 2004.
13. Jie Yang and Alex Waibel, "A Real-Time Face Tracker", CMU CS Technical Report.