SURF: Speeded Up Robust Features, In: Computer Vision and Image Understanding, 2008. ,
DOI : 10.1007/11744023_32
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.679.3046
Actions as space-time shapes, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1, 2005. ,
DOI : 10.1109/ICCV.2005.28
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.100.8218
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
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
Actions as Space-Time Shapes, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.29, issue.12, 2007. ,
DOI : 10.1109/TPAMI.2007.70711
Making Large-Scale SVM Learning Practical, Advances in Kernel Methods -Support Vector Learning, 1999. ,
PCA-SIFT: A More Distinctive Representation for Local Image Descriptors, IEEE Conference on Computer Vision and Pattern Recognition, 2004. ,
A Spatio-Temporal Descriptor Based on 3D-Gradients, Procedings of the British Machine Vision Conference 2008, 2008. ,
DOI : 10.5244/C.22.99
Learning human actions in video, 2010. ,
Space-Time Interest Points, International Conference on Computer Vision, 2003. ,
DOI : 10.1109/iccv.2003.1238378
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.4.4359
On Space-Time Interest Points, In: International Journal of Computer Vision, 2005. ,
DOI : 10.1007/s11263-005-1838-7
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.58.1419
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
Recognizing Actions by Shape-Motion Prototype Trees, International Conference on Computer Vision, 2009. ,
Distinctive Image Features from Scale-Invariant Keypoints, International Journal of Computer Vision, vol.60, issue.2, 2004. ,
DOI : 10.1023/B:VISI.0000029664.99615.94
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.14.4931
Activity recognition using the velocity histories of tracked keypoints, 2009 IEEE 12th International Conference on Computer Vision, 2009. ,
DOI : 10.1109/ICCV.2009.5459154
Machine Learning for High-Speed Corner Detection, European Conference on Computer Vision, 2006. ,
DOI : 10.1007/11744023_34
Recognizing human actions: a local SVM approach, Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004., 2004. ,
DOI : 10.1109/ICPR.2004.1334462
Large Margin Methods for Structured and Interdependent Output Variables, In: Journal of Machine Learning Research, 2005. ,
Evaluation of local spatiotemporal features for action recognition, British Machine Vision Conference, 2009. ,
URL : https://hal.archives-ouvertes.fr/inria-00439769
An Efficient Dense and Scale-Invariant Spatio-Temporal Interest Point Detector, European Conference on Computer Vision, 2008. ,
DOI : 10.1007/978-3-540-88688-4_48