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. ,
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
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
Facial Action Coding System, p.3202, 1978. ,
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
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
Multiple Cue Integrated Action Detection, HCI, p.3202, 2007. ,
DOI : 10.1007/978-3-540-75773-3_12
Human Focused Action Localization in Video, SGA, pp.3205-3207, 2010. ,
DOI : 10.1007/978-3-642-35749-7_17
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
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
Retrieving actions in movies, 2007 IEEE 11th International Conference on Computer Vision, pp.3205-3207, 2007. ,
DOI : 10.1109/ICCV.2007.4409105
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
A note on Platt???s probabilistic outputs for support vector machines, Machine Learning, pp.267-276, 2007. ,
DOI : 10.1007/s10994-007-5018-6
Statistical properties and adaptive tuning of support vector machines, Machine Learning, pp.115-136, 2002. ,
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
Modeling Temporal Structure of Decomposable Motion Segments for Activity Classification, ECCV, p.3202, 2010. ,
DOI : 10.1007/978-3-642-15552-9_29
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
Modeling the Temporal Extent of Actions, ECCV, p.3206, 2010. ,
DOI : 10.1007/978-3-642-15549-9_39
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
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
Multivariate density estimation: theory, practice, and visualization, p.3205, 1992. ,
DOI : 10.1002/9781118575574
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
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
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