A. Anjum and J. K. Aggarwal, Segmentation and recognition of continuous human activity, in: IEEE Workshop on Detection and Recognition of Events in Video'01, pp.28-28, 2001.

H. Fujiyoshi and A. J. Lipton, Real-time human motion analysis by image skeletonization, Proceedings of IEEE WACV98, pp.15-21, 1998.

M. Ahmad and S. Lee, Hmm-based human action recognition using multiview image sequences, Proceedings of the 18th International Conference on Pattern Recognition, vol.01, pp.263-266, 2006.

L. , Gaussian process latent variable models for visualization of high dimensional data, 2003.

N. Lawrence and A. Hyvarinen, Probabilistic non-linear principal component analysis with Gaussian process latent variable models, J. Mach. Learn. Res, vol.6, pp.1783-1816, 2005.

C. H. Ek, P. H. Torr, and N. D. Lawrence, Gaussian process latent variable models for human pose estimation, Proceedings of the 4th International Conference on Machine Learning for Multimodal Interaction, MLMI'07, pp.132-143, 2008.

J. M. Wang, D. J. Fleet, and A. Hertzmann, Gaussian process dynamical models for human motion, IEEE Trans. Pattern Anal. Mach. Intell, vol.30, pp.283-298, 2008.

R. Urtasun, 3D people tracking with Gaussian process dynamical models, CVPR, CVPR, pp.238-245, 2006.

A. A. Efros, A. C. Berg, G. Mori, and J. Malik, Recognizing action at a distance, Proceedings of the Ninth IEEE International Conference on Computer Vision, ICCV '03, vol.2, pp.726-733, 2003.

L. Zelnik-manor and M. Irani, Event-based analysis of video, 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp.123-130, 2001.

G. Zhu, M. Yang, K. Yu, W. Xu, and Y. Gong, Detecting video events based on action recognition in complex scenes using spatio-temporal descriptor, Proceedings of the 17th ACM International Conference on Multimedia, MM '09, pp.165-174, 2009.

C. Schuldt, I. Laptev, and B. Caputo, Recognizing human actions: a local svm approach, Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04), ICPR '04, vol.03, pp.32-36, 2004.

M. Blank, L. Gorelick, E. Shechtman, M. Irani, and R. Basri, Actions as space-time shapes, Proceedings of the Tenth IEEE International Conference on Computer Vision, ICCV '05, pp.1395-1402, 2005.
DOI : 10.1109/iccv.2005.28

A. F. Bobick and J. W. Davis, The recognition of human movement using temporal templates, IEEE Trans. Pattern Anal. Mach. Intell, vol.23, pp.257-267, 2001.

V. Pavlovic, R. Sharma, and T. Huang, Visual interpretation of hand gestures for human-computer interaction. A review, IEEE Trans. Pattern Anal. Mach. Intell, vol.19, pp.677-695, 1997.

Y. Wu, J. Y. Lin, and T. S. Huang, Capturing natural hand articulation, Proceedings of the 8th International Conference on Computer Vision, pp.426-432, 2001.

Q. Chen, N. D. Georganas, and E. M. Petriu, Real-time vision based hand gesture recognition using haar-like features, Proceeding of the IEEE Instrumentation and Measurement Technology Conference Proceedings, pp.1-6, 2007.
DOI : 10.1109/imtc.2007.379068

C. Chang, I. Chen, and Y. Huang, Hand pose recognition using curvature scale space, IEEE International Conference on Pattern Recognition, 2002.

R. Rosales, V. Athitsos, L. Sigal, and S. Sclaroff, 3D hand pose reconstruction using specialized mappings, IEEE International Conference on Computer Vision, pp.378-385, 2001.
DOI : 10.1109/iccv.2001.937543

URL : https://open.bu.edu/bitstream/handle/2144/1815/2000-022-hand-pose-estimation-with-sma.pdf?sequence%3D1

L. Bretzner, I. Laptev, and T. Lindberg, Hand gesture recognition using multi-scale color features, hierarchical models and particle filtering, IEEE International Conference on Automatic Face and Gesture Recognition, 2002.
DOI : 10.1109/afgr.2002.1004190

URL : http://kth.diva-portal.org/smash/get/diva2:462620/FULLTEXT01

Y. Boykov and V. Kolmogorov, An experimental comparison of min-cut/max-flow algorithms for energy minimization in vision, IEEE Trans. Pattern Anal. Mach. Intell, vol.26, pp.1124-1137, 2004.

Y. Boykov and V. Kolmogorov, Computing geodesics and minimal surfaces via graph cuts, pp.26-33, 2003.
DOI : 10.1109/iccv.2003.1238310

URL : http://www.csd.uwo.ca/~yuri/Papers/iccv03.pdf

Y. Chahir, M. Molina, F. Jouen, and B. Safadi, Haptic gesture analysis and recognition, IEEE/RSJ International Conference on Intelligent Robots and Systems, 2008.
URL : https://hal.archives-ouvertes.fr/hal-00823545

N. Canterakis, 3D zernike moments and zernike affine invariants for 3D image analysis and recognition, 11th Scandinavian Conference on Image Analysis, pp.85-93, 1999.

N. Boaz, S. Lafon, and R. Coifman, Diffusion maps, spectral clustering and eigenfunctions of fokker-planck operators, Neural Inf. Process. Syst, vol.18, 2005.

S. Lafon, Y. Keller, and R. Coifman, Data fusion and multicue data matching by diffusion maps, IEEE Trans. Pattern Anal. Mach. Intell, vol.28, pp.1784-1797, 2006.
DOI : 10.1109/tpami.2006.223

B. Nadler, S. Lafon, R. Coifman, and I. G. Kevrekidis, Diffusion maps-a probabilistic interpretation for spectral embedding and clustering algorithms, Principal Manifolds for Data Visualization and Dimension Reduction, 2007.
DOI : 10.1007/978-3-540-73750-6_10

URL : http://www.wisdom.weizmann.ac.il/~nadler/Publications/probabilistic_interpretation.pdf

R. B. Cattell, The scree test for the number of factors, Multivar. Behav. Res, pp.245-276, 1966.

G. Raiche, M. Riopel, and J. G. Blais, Non graphical solutions for the Cattell's scree test, International Annual Meeting of the Psychometric Society, 2006.

P. Arias, G. Randall, and G. Sapiro, Connecting the out-of-sample and pre-image problems in kernel methods, Conference on Computer Vision and Pattern Recognition, 2007.

M. Ghoniem, Y. Chahir, and A. Elmoataz, Nonlocal video denoising, simplification and inpainting using discrete regularization on graphs, J. Signal Process, vol.90, pp.2445-2455, 2010.
URL : https://hal.archives-ouvertes.fr/hal-00812354

A. Elmoataz, O. Lezoray, and S. Bougleux, Nonlocal discrete regularization on weighted graphs: a framework for image and manifold processing, IEEE Trans. Image Process, vol.17, pp.1047-1060, 2008.
URL : https://hal.archives-ouvertes.fr/hal-00163573

J. Boyce and W. Hossack, Moment invariants for pattern recognition, Pattern Recogn. Lett, vol.1, pp.451-456, 1983.

C. Teh and R. T. Chin, On image analysis by the methods of moments, IEEE Trans. Pattern Anal. Mach. Intell, vol.10, pp.496-513, 1988.

S. Xinghua, C. Mingyu, and A. Hauptmann, Action recognition via local descriptors and holistic features, Computer Vision and Pattern Recognition Workshop 0, pp.58-65, 2009.

R. Vezzani, D. Baltieri, and R. Cucchiara, Hmm based action recognition with projection histogram features, Proceedings of the 20th International Conference on Recognizing Patterns in Signals, Speech, Images, and Videos, ICPR'10, pp.286-293, 2010.

V. Kellokumpu, G. Zhao, and M. Pietikäinenpietik¨pietikäinen, Recognition of human actions using texture descriptors, Machine Vision and Applications, vol.22, issue.5, pp.767-780, 2011.

P. Dhillon, S. Nowozin, and C. Lampert, Combining appearance and motion for human action classification in videos, Computer Vision and Pattern Recognition Workshop, pp.22-29, 2009.

L. Costantini, L. Seidenari, G. Serra, L. Capodiferro, and A. D. Bimbo, Space-time zernike moments and pyramid kernel descriptors for action classification, Lecture Notes in Computer Science, issue.2, pp.199-208, 2011.

L. Ballan, M. Bertini, A. Bimbo, L. Seidenari, and G. Serra, Recognizing human actions by fusing spatio-temporal appearance and motion descriptors, Proceedings of the 16th IEEE International Conference on Image Processing, ICIP'09, pp.3533-3536, 2009.

S. Lederman and R. R. Klatzky, Hand movements: a window into haptic object recognition, Cognitive Psychology, vol.19, pp.342-368, 1987.