Real-time capable system for hand gesture recognition using hidden Markov models in stereo color image sequences

16th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, WSCG'2008 - In Co-operation with EUROGRAPHICS, Full Papers

Volumn , Issue , 2008, Pages 65-72

  Elmezain, Mahmoud ^a   Al Hamadi, Ayoub ^a   Michaelis, Bernd ^a  

^a OTTO VON GUERICKE UNIVERSITY   (Germany)

Author keywords

Application; Computer vision image processing; Gesture recognition; Pattern recognition

Indexed keywords

AUTOMATIC SEGMENTATIONS; BAUM-WELCH ALGORITHMS; COLOR IMAGE SEQUENCES; COLOR SPACE; DEPTH INFORMATION; DISCRETE VECTOR; FEATURE EXTRACTION AND CLASSIFICATION; FORWARD ALGORITHMS; GAUSSIAN MIXTURE MODEL; HAND MOTION TRAJECTORY; HAND-GESTURE RECOGNITION; MORPHOLOGICAL OPERATIONS; MOTION TRAJECTORIES; REAL TIME; RECOGNITION RATES; SEARCH AREA;

ALGORITHMS; APPLICATIONS; COLOR IMAGE PROCESSING; COMPUTER GRAPHICS; FEATURE EXTRACTION; GESTURE RECOGNITION; HIDDEN MARKOV MODELS; MATHEMATICAL MORPHOLOGY; PATTERN RECOGNITION; VISUALIZATION;

COMPUTER VISION;

EID: 63249103687     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (21)

1. Askar, S., Kondratyuk, Y., Elazouzi, K., Kauff, P., Schreer, O.: Vision-Based Skin-Colour Segmentation of Moving Hands for Real-Time Application, 1st European CVMP, pp. 79-85, 2004.
2. th International Conference on Pattern Recognition (ICPR 06), pp. 519-522, 2006.
3. Ho-Sub, Y., Jung, S., Young, J.B., Hyun, S.Y.: Hand Gesture Recognition using Combined Features of Location, Angle and Velocity, Pattern Recognition 34(7), pp. 1491-1501, March 2001.
4. Lawrence, R.R.: A Tutorial on Hidden Markov Models and Selected Applications in Speech Recognition, Proceeding of the IEEE, Vol. 77, No. 2, pp. 257-286, February 1989.
5. Nguyen, D.B., Enokida, S., Toshiaki, E.: RealTime Hand Tracking and Gesture Recognition System, GVIP 05 Conference, CICC, pp. 362-368, December 2005.
6. Nianjun, L., Brian, C.L., Peter, J.K.: Evaluation of HMM Training Algorithms for Letter Hand Gesture Recognition, IEEE International Symposium on Signal Processing and Information Technology, pp. 648-651, December 2003.
7. Nianjun, L., Brian, C.L., Peter, J.K., Richard, A.D.: Model Structure Selection & Training Algorithms for a HMM Gesture Recognition System, In International Workshop in Frontiers of Handwriting Recognition, pp. 100-106, October 2004.
8. Niese, R., Al-Hamadi, A., Michaelis, B.: A Stereo and Color-based Method for Face Pose Estimation and Facial Feature Extraction, ICPR 2006 (IEEE), The 18th International Conference on Pattern Recognition, Vol. 1, pp. 299- 302, 2006.
9. Niese, R., Al-Hamadi, A., Michaelis, B.: A Novel Method for 3D Face Detection and Normalization, Journal of Multimedia, ISSN, 1796-2048, 2007.
10. Nobuhiko, T., Nobutaka, S., Yoshiaki, S.: Extraction of Hand Features for Recognition of Sign Language Words, In International Conference on Vision Interface, pp. 391-398, 2002.
11. Noor, S.M.S., Jamilin, J.L.M., Roslan, I., Selman, Y., Azhana, A., Adzly, A., Dzulkifli, M.: Sign Language to Voice Recognition: Hand Detection Techniques for Vision-Based Approach, In Technology-Assisted Education, pp. 967-972, 2006.
12. Ming-Hsuan, Y., Narendra, A.: Gaussian Mixture Modeling of Human Skin Color and Its Applications In Image and Video Databases, In the 1999 SPIE/EI&T Storage and Retrieval for Image and Video Databases, pp. 458-466, January 1999.
13. r Color Space and its Application to Human Face Detection, In IEEE International Conference on Image Processing (ICIP), pp. 289-292, 2002.
14. Raja, Y., Mckenna, S.J., Gong, S.: Colour Model Selection and Adaptation in Dynamic Scenes, In Proceedings European Conference on Computer Vision, pp. 460-474, 1998.
15. Richard, A.R., Homer, F.W.: Mixture Densities, Maximum Likelihood and the EM Algorithm, SIAM Review, Vol. 26, No. 2, pp. 195-239, April 1984.
16. Sebastien, M., Olivier, B., Jean-Emmanuel, V., Daniel, C.: Hand Gesture Recognition using Input-Output Hidden Markov Model, Proceedings of the Fourth IEEE International Conference on Automatic Face and Gesture Recognition, pp. 456-460, 2000.
17. Sobottka, K., Pitas, I.: Face Localization and Feature Extraction Based on Shape and Color Information, Proceedings of IEEE International Conference on Image Processing, pp.483-486, 1996.
18. Soontranon, N., Aramvith, S., Chalidabhongse, T.: Improved Face and Hand Tracking for Sign Language Recognition, ITCC 2005, Vol. 2, pp.141-146, April 2005.
19. Sushmita, M., Tinku, A.: Gesture Recognition: A Survey, IEEE Transactions on Systems, MAN, and Cybernetics, pp. 311-324, May 2007.
20. Vassilia, N.P., Konstantinos, G.M.: On Feature Extraction and Sign Recognition for Greek Sign Language, Proceedings of the 7th IASTED International Conference Artificial Intelligence and Soft Computer, pp. 93-98, July 2003.
21. Xiaojin, Z., Jie, Y., Alex, W.: Segmenting Hands of Arbitrary Color, Proceedings of the Fourth IEEE International Conference on Automatic Face and Gesture Recognition, pp. 446-453, March 2000.