S. Bak, R. Kumar, and F. Bremond, Brownian descriptor: A rich meta-feature for appearance matching, IEEE Winter Conference on Applications of Computer Vision, 2014.
DOI : 10.1109/WACV.2014.6836077
URL : https://hal.archives-ouvertes.fr/hal-00905588

P. Bilinski and F. Bremond, Evaluation of Local Descriptors for Action Recognition in Videos, ICVS, 2011.
DOI : 10.1007/978-3-540-88688-4_48
URL : https://hal.archives-ouvertes.fr/inria-00619091

N. Dalal and B. Triggs, Histograms of Oriented Gradients for Human Detection, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05), 2005.
DOI : 10.1109/CVPR.2005.177
URL : https://hal.archives-ouvertes.fr/inria-00548512

P. Dollar, V. Rabaud, G. Cottrell, and S. Belongie, Behavior Recognition via Sparse Spatio-Temporal Features, 2005 IEEE International Workshop on Visual Surveillance and Performance Evaluation of Tracking and Surveillance, 2005.
DOI : 10.1109/VSPETS.2005.1570899
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.77.5712

K. Guo, P. Ishwar, and J. Konrad, Action recognition from video using feature covariance matrices, IEEE Transactions on Image Processing, vol.22, issue.6, pp.2479-2494, 2013.

H. Kuehne, H. Jhuang, E. Garrote, T. Poggio, and T. Serre, HMDB: A large video database for human motion recognition, 2011 International Conference on Computer Vision, 2011.
DOI : 10.1109/ICCV.2011.6126543

I. Laptev and T. Lindeberg, Space-time interest points, ICCV, 2003.

I. Laptev, M. Marszalek, C. Schmid, and B. Rozenfeld, Learning realistic human actions from movies, 2008 IEEE Conference on Computer Vision and Pattern Recognition, 2008.
DOI : 10.1109/CVPR.2008.4587756
URL : https://hal.archives-ouvertes.fr/inria-00548659

J. Liu, J. Luo, and M. Shah, Recognizing realistic actions from videos " in the wild, CVPR, 2009.

R. Messing, C. Pal, and H. Kautz, Activity recognition using the velocity histories of tracked keypoints, 2009 IEEE 12th International Conference on Computer Vision, 2009.
DOI : 10.1109/ICCV.2009.5459154

Y. Pang, Y. Yuan, and X. Li, Gabor-based region covariance matrices for face recognition, IEEE Transactions on Circuits and Systems for Video Technology, pp.989-993, 2008.

F. Perronnin, Y. Liu, J. Sanchez, and H. Poirier, Large-scale image retrieval with compressed Fisher vectors, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2010.
DOI : 10.1109/CVPR.2010.5540009

F. Perronnin, J. Sanchez, and T. Mensink, Improving the Fisher Kernel for Large-Scale Image Classification, ECCV, 2010.
DOI : 10.1007/978-3-642-15561-1_11
URL : https://hal.archives-ouvertes.fr/inria-00548630

F. Porikli, O. Tuzel, and P. Meer, Covariance tracking using model update based means on riemannian manifolds, CVPR, 2006.

G. J. Szekely and M. L. Rizzo, Brownian distance covariance, The Annals of Applied Statistics, vol.3, issue.4, pp.1236-1265, 2009.
DOI : 10.1214/09-AOAS312

O. Tuzel, F. Porikli, and P. Meer, Region Covariance: A Fast Descriptor for Detection and Classification, ECCV, 2006.
DOI : 10.1023/B:VISI.0000029664.99615.94

H. Wang, A. Klaser, C. Schmid, and C. Liu, Action recognition by dense trajectories, CVPR 2011, 2011.
DOI : 10.1109/CVPR.2011.5995407
URL : https://hal.archives-ouvertes.fr/inria-00583818

H. Wang, M. M. Ullah, A. Klaser, I. Laptev, and C. Schmid, Evaluation of local spatio-temporal features for action recognition, Procedings of the British Machine Vision Conference 2009, 2009.
DOI : 10.5244/C.23.124
URL : https://hal.archives-ouvertes.fr/inria-00439769

X. Wang, G. Doretto, T. B. Sebastian, J. Rittscher, and P. H. Tu, Shape and Appearance Context Modeling, 2007 IEEE 11th International Conference on Computer Vision, 2007.
DOI : 10.1109/ICCV.2007.4409019
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.360.7869

G. Willems, T. Tuytelaars, and L. Gool, An Efficient Dense and Scale-Invariant Spatio-Temporal Interest Point Detector, ECCV, 2008.
DOI : 10.1007/978-3-540-88688-4_48

Y. Wu, Mining actionlet ensemble for action recognition with depth cameras, CVPR, 2012.

C. Yuan, W. Hu, X. Li, S. J. Maybank, and G. Luo, Human Action Recognition under Log-Euclidean Riemannian Metric, ACCV, 2009.
DOI : 10.1007/978-3-642-12307-8_32