J. Cohn and T. Kanade, Use of automated facial image analysis for measurement of emotion expression, Handbook of emotion elicitation and assessment. Oxford UP Series in Affective Science, p.3202, 2006.

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), p.3205, 2005.
DOI : 10.1109/CVPR.2005.177

URL : https://hal.archives-ouvertes.fr/inria-00548512

O. Duchenne, I. Laptev, J. Sivic, F. Bach, and J. Ponce, Automatic annotation of human actions in video, 2009 IEEE 12th International Conference on Computer Vision, pp.3204-3205, 2009.
DOI : 10.1109/ICCV.2009.5459279

P. Ekman and W. V. Friesen, Facial Action Coding System, p.3202, 1978.

P. Felzenszwalb, R. Girshick, D. Mcallester, and D. Ramanan, Object Detection with Discriminatively Trained Part-Based Models, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.32, issue.9, p.3202, 2009.
DOI : 10.1109/TPAMI.2009.167

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.153.2745

A. Gaidon, M. Marsza?ek, and C. Schmid, Mining visual actions from movies, Procedings of the British Machine Vision Conference 2009, p.3204, 2009.
DOI : 10.5244/C.23.125

URL : https://hal.archives-ouvertes.fr/inria-00440973

S. Jung, Y. Guo, H. Sawhney, and R. Kumar, Multiple Cue Integrated Action Detection, HCI, p.3202, 2007.
DOI : 10.1007/978-3-540-75773-3_12

A. Kläser, M. Marsza?ek, C. Schmid, and A. Zisserman, Human Focused Action Localization in Video, SGA, pp.3205-3207, 2010.
DOI : 10.1007/978-3-642-35749-7_17

I. Laptev, On Space-Time Interest Points, International Journal of Computer Vision, vol.17, issue.8, pp.107-123, 2005.
DOI : 10.1007/s11263-005-1838-7

I. Laptev, M. Marszalek, C. Schmid, and B. Rozenfeld, Learning realistic human actions from movies, 2008 IEEE Conference on Computer Vision and Pattern Recognition, p.3206, 2008.
DOI : 10.1109/CVPR.2008.4587756

URL : https://hal.archives-ouvertes.fr/inria-00548659

I. Laptev and P. Perez, Retrieving actions in movies, 2007 IEEE 11th International Conference on Computer Vision, pp.3205-3207, 2007.
DOI : 10.1109/ICCV.2007.4409105

B. Laxton, J. Lim, and D. Kriegman, Leveraging temporal, contextual and ordering constraints for recognizing complex activities in video, 2007 IEEE Conference on Computer Vision and Pattern Recognition, p.3202, 2007.
DOI : 10.1109/CVPR.2007.383074

H. Lin, C. Lin, and C. Weng, A note on Platt???s probabilistic outputs for support vector machines, Machine Learning, pp.267-276, 2007.
DOI : 10.1007/s10994-007-5018-6

Y. Lin, G. Wahba, H. Zhang, and Y. Lee, Statistical properties and adaptive tuning of support vector machines, Machine Learning, pp.115-136, 2002.

S. Maji, A. C. Berg, and J. Malik, Classification using intersection kernel support vector machines is efficient, 2008 IEEE Conference on Computer Vision and Pattern Recognition, p.3204, 2008.
DOI : 10.1109/CVPR.2008.4587630

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.141.3974

J. C. Niebles, C. Chen, and L. Fei-fei, Modeling Temporal Structure of Decomposable Motion Segments for Activity Classification, ECCV, p.3202, 2010.
DOI : 10.1007/978-3-642-15552-9_29

S. Nowozin, G. Bakir, and K. Tsuda, Discriminative Subsequence Mining for Action Classification, 2007 IEEE 11th International Conference on Computer Vision, p.3202, 2007.
DOI : 10.1109/ICCV.2007.4409049

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.109.5751

S. Satkin and M. Hebert, Modeling the Temporal Extent of Actions, ECCV, p.3206, 2010.
DOI : 10.1007/978-3-642-15549-9_39

K. Schindler and L. Van-gool, Action snippets: How many frames does human action recognition require?, 2008 IEEE Conference on Computer Vision and Pattern Recognition, p.3202, 2008.
DOI : 10.1109/CVPR.2008.4587730

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.329.7430

C. Schüldt, I. Laptev, and B. Caputo, Recognizing human actions: a local SVM approach, Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004., p.3202, 2004.
DOI : 10.1109/ICPR.2004.1334462

D. Scott, Multivariate density estimation: theory, practice, and visualization, p.3205, 1992.
DOI : 10.1002/9781118575574

T. Simon, M. Nguyen, F. De-la-torre, and J. Cohn, Action unit detection with segment-based SVMs, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, p.3202, 2010.
DOI : 10.1109/CVPR.2010.5539998

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.173.182

P. Viola and M. Jones, Rapid object detection using a boosted cascade of simple features, Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001, p.3202, 2001.
DOI : 10.1109/CVPR.2001.990517

H. Wang, M. M. Ullah, A. Kläser, I. Laptev, and C. Schmid, Evaluation of local spatio-temporal features for action recognition, Procedings of the British Machine Vision Conference 2009, p.3203, 2009.
DOI : 10.5244/C.23.124

URL : https://hal.archives-ouvertes.fr/inria-00439769