H. Wang, M. M. Ullah, A. Klaser, I. Laptev, and . 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

V. Kantorov and I. Laptev, Efficient Feature Extraction, Encoding, and Classification for Action Recognition, 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014.
DOI : 10.1109/CVPR.2014.332
URL : https://hal.archives-ouvertes.fr/hal-01058734

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

J. Sánchez, F. Perronnin, T. Mensink, and J. Verbeek, Image Classification with the Fisher Vector: Theory and Practice, International Journal of Computer Vision, vol.73, issue.2, pp.222-245, 2013.
DOI : 10.1007/s11263-006-9794-4

F. Pedregosa, Scikit-learn : Machine learning in Python, Journal of Machine Learning Research, vol.12, pp.2825-2830, 2011.
URL : https://hal.archives-ouvertes.fr/hal-00650905