[1] Jean-François Paiement-Olivier Delalleau-Marie Ouimet Yoshua Bengio, Pascal Vincent and Nicolas Le Roux. Spectral clustering and kernel pca are learning eigenfunctions. Technical report, Centre de Recherches Mathematiques, Universite de Montreal, 2003.
[ bib ]
[2] D. M. Gavrila. The visual analysis of human movement: A survey. Computer Vision and Image Understanding: CVIU, 73(1):82-98, 1999.
[ bib | .html ]
[3] Matthew Turk. Gesture recognition.
[ bib | .html ]
[4] Thomas S. Huang Pengyu Hong, Matthew Turk. Gesture modeling and recognition using finite state machines (2000).
[ bib | .html ]
[5] Thomas S. Huang Ying Wu. Vision-based gesture recognition: A review.
[ bib | .html ]
[6] Q. Cai J. K. Aggarwal. Human motion analysis: A review (1999). Computer Vision and Image Understanding: CVIU, 73(3):428-440, 1999.
[ bib | .html ]
[7] Aaron F. Bobick. Movement, activity, and action: The role of knowledge in the perception of motion (1997).
[ bib | .html ]
[8] Lawrence R. Rabiner. A tutorial on hidden markov models and selected applications in speech recognition. Proceedings of the IEEE, 77(2):257-286, 1989.
[ bib | http ]
[9] Richard Bowden. Learning statistical models of human motion (2000).
[ bib | .html ]
[10] Matthew Brand and Aaron Hertzmann. Style machines. In Proceedings of the 27th annual conference on Computer graphics and interactive techniques, pages 183-192. ACM Press/Addison-Wesley Publishing Co., 2000.
[ bib ]
[11] Gesture-based Communication in Human-Computer Interaction, chapter Analysis of Expressive Gesture: The EyesWeb Expressive Gesture Processing Library. Springer Verlag, 2004.
[ bib ]
[12] Gualtiero Volpe. Computational models of expressive gesture in multimedia systems. PhD thesis, InfoMus Lab, DIST - University of Genova, 2003.
[ bib ]
[13] Gary R. Bradski and James W. Davis. Motion segmentation and pose recognition with motion history gradients. In Machine Vision and Applications, volume 13, pages 174 - 184. Springer - Verlag, 2002.
[ bib ]
Keywords: Motion segmentation – Normal optical flow
[14] G Bradski and J Davis. Motion segmentation and pose recognition with motion history gradients. WACV, pages 238-244, 2000.
[ bib | .pdf ]
[15] Xianping Ge and Padhraic Smyth. Deformable markov model templates for time-series pattern matching. In Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining, pages 81-90. ACM Press, 2000.
[ bib ]
[16] M. Turk. A random walk trough eigenspace. In IEICE Trans. Inf. Syst., volume E84-D, pages 1586-1695, 2001.
[ bib | .pdf ]
[17] N. F. Troje. Decomposing biological motion: A framework for analysis and synthesis of human gait patterns. In Journal of Vision, volume 2, pages 371-387, 2002.
[ bib | http ]
[18] F. Chenevière, S. Boukir, and B. Vachon. Compression and recognition of spatio-temporal sequences from contemporary ballet. International Journal of Pattern Recognition and Artificial Intelligence, 2003.
[ bib ]
[19] Chil-Woo Lee Hyun-Ju Lee A1, Yong-Jae Lee A1. Gesture classification and recognition using principal component analysis and hmm. In Heung-Yeung Shum, Mark Liao, and Shih-Fu Chang, editors, IEEE Pacific Rim Conference on Multimedia, volume 2195 of Lecture Notes in Computer Science, pages 756-763. Springer, 2001.
[ bib ]
[20] Ying-Qing Xu-Nan-Ning Zheng Tian-Shu Wang, Heung-Yeung Shum. Unsupervised analysis of human gestures. In Heung-Yeung Shum, Mark Liao, and Shih-Fu Chang, editors, IEEE Pacific Rim Conference on Multimedia, volume 2195 of Lecture Notes in Computer Science, pages 174-181. Springer, 2001.
[ bib ]
[21] Christopher Raphael. Automatic segmentation of acoustic music signals using hidden markov models. In IEEE Transactions on Pattern Analysis and Machine Intelligence, volume 21, pages 360-370, 1999.
[ bib | .pdf ]
[22] Nicola Orio, Serge Lemouton, Diemo Schwarz, and Norbert Schnell. Score following: State of the art and new developments. In New Interfaces for Musical Expression (NIME), Montreal, Canada, Mai 2003.
[ bib | http ]
[23] Nicola Orio and François Déchelle. Score following using spectral analysis and hidden markov models. In ICMC: International Computer Music Conference, La Havane, Cuba, 2001.
[ bib ]
[24] E. Flety F. Bevilacqua. Captation et analyse du mouvement pour l'interaction entre danse et musique. In actes des rencontres musicales pluridisciplinaires: le corps et la musique. grame, 2004.
[ bib | .html ]
[25] Thomas Pellegrini, Raphael Duée, and Lise Georges. Suivi de voix parlée grace aux modèles de markov cachés, 2003.
[ bib | .pdf ]
[26] Miller Puckette. EXPLODE: A User Interface for Sequencing and Score Following. pages 259-261, 1990.
[ bib ]
[27] Barry Vercoe. The Synthetic Performer in the Context of Live Performance. pages 199-200, 1984.
[ bib ]
[28] Barry Vercoe and Miller Puckette. Synthetic Rehearsal: Training the Synthetic Performer. pages 275-278, 1985.
[ bib ]

This file has been generated by bibtex2html 1.74