Real-time recognition of 3D-pointing gestures for human-machine-interaction

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 2781, Issue , 2003, Pages 557-565

  Nickel, Kai ^a   Stiefelhagen, Rainer ^a  

^a UNIVERSITY OF KARLSRUHE   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

HIDDEN MARKOV MODELS; HUMAN COMPUTER INTERACTION; MARKOV PROCESSES; PATTERN RECOGNITION; STEREO IMAGE PROCESSING;

DETECTED GESTURES; GESTURE DETECTIONS; HIDDEN MARKOV MODELS (HMMS); HUMAN MACHINE INTERACTION; PERSON-INDEPENDENT; POINTING GESTURES; REAL TIME RECOGNITION; STEREO CAMERAS;

GESTURE RECOGNITION;

EID: 35248838909     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-45243-0_71     Document Type: Article

References (11)

1. Wren, C., Azarbayejani, A., Darrell, T., Pentland, A.: Pfinder: Real-Time Tracking of the Human Body. IEEE Transaction on Pattern Analysis and Machine Intelligence, Vol. 19, No. 7, 1997.
2. Azarbayejani, A., Pentland, A.: Real-time self-calibrating stereo person tracking using 3-D shape estimation from blob features. Proceedings of 13th ICPR, 1996.
3. Darrell, T., Gordon, G., Harville, M., Woodfill, J.: Integrated person tracking using stereo, color, and pattern detection. IEEE Conference on Computer Vision and Pattern Recognition, Santa Barbara, CA, 1998.
4. Starner, T., Pentland, A.: Visual Recognition of American Sign Language Using Hidden Markov Models. M.I.T. Media Laboratory, Perceptual Computing Section, Cambridge MA, USA, 1994.
5. Becker, D.A.: Sensei: A Real-Time Recognition, Feedback and Training System for T'ai Chi Gestures. M.I.T. Media Lab Perceptual Computing Group Technical Report No. 426, 1997.
6. Wilson, A.D., Bobick A.F.: Recognition and Interpretation of Parametric Gesture. Intl. Conference on Computer Vision ICCV, 329-336, 1998.
7. Jojic, N., Brumitt, B., Meyers, B., Harris, S., Huang, T.: Detection and Estimation of Pointing Gestures in Dense Disparity Maps. IEEE International Conference on Automatic Face and Gesture Recognition, Grenoble, France, 2000.
8. Konolige, K.: Small Vision Systems: Hardware and Implementation. Eighth International Symposium on Robotics Research, Hayama, Japan, 1997.
9. Yang, J., Lu, W., Waibel, A.: Skin-color modeling and adaption. Technical Report of School of Computer Science, CMU, CMU-CS-97-146, 1997.
10. Rabiner, L.R.: A Tutorial on Hidden Markov Models and Selected Applications in Speech Recognition. Proc. IEEE, 77 (2), 257-286, 1989.
11. Campbell, L.W., Becker, D.A., Azarbayejani, A., Bobick, A.F., Pentland, A.: Invariant features for 3-D gesture recognition. Second International Workshop on Face and Gesture Recognition, Killington VT, 1996.