Action Recognition Using Rate-Invariant Analysis of Skeletal Shape Trajectories, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.38, issue.1, pp.1-13, 2016. ,
DOI : 10.1109/TPAMI.2015.2439257
Random Forests, Machine Learning, vol.45, issue.1, pp.5-32, 2001. ,
DOI : 10.1023/A:1010933404324
Fusion of Skeletal and Silhouette-Based Features for Human Action Recognition with RGB-D Devices, 2013 IEEE International Conference on Computer Vision Workshops, pp.91-97, 2013. ,
DOI : 10.1109/ICCVW.2013.19
Action Recognition from Depth Sequences Using Depth Motion Maps-Based Local Binary Patterns, 2015 IEEE Winter Conference on Applications of Computer Vision, pp.1092-1099, 2015. ,
DOI : 10.1109/WACV.2015.150
Real-time human action recognition based on depth motion maps, Journal of Real-Time Image Processing, vol.32, issue.1, pp.155-163, 2016. ,
DOI : 10.1023/A:1007469218079
Hierarchical Recurrent Neural Network for Skeleton Based Action Recognition, pp.1110-1118, 2015. ,
Skeletal Quads: Human Action Recognition Using Joint Quadruples, 2014 22nd International Conference on Pattern Recognition, pp.4513-4518, 2014. ,
DOI : 10.1109/ICPR.2014.772
URL : https://hal.archives-ouvertes.fr/hal-00989725
LIBLINEAR: A Library for Large Linear Classification, Journal of Machine Learning Research, vol.9, pp.1871-1874, 2008. ,
Histogram of Oriented Displacements (HOD): Describing Trajectories of Human Joints for Action Recognition, pp.1351-1357, 2013. ,
Convex incremental extreme learning machine, Neurocomputing, vol.70, issue.16-18, pp.16-18, 2007. ,
DOI : 10.1016/j.neucom.2007.02.009
Enhanced random search based incremental extreme learning machine, Neurocomputing, vol.71, issue.16-18, pp.16-18, 2008. ,
DOI : 10.1016/j.neucom.2007.10.008
Extreme Learning Machine for Regression and Multiclass Classification, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics), vol.42, issue.2, pp.513-529, 2012. ,
DOI : 10.1109/TSMCB.2011.2168604
Extreme Learning Machine: A New Learning Scheme of Feedforward Neural Networks, IEEE International Joint Conference on Neural Networks, pp.985-990, 2004. ,
A Read-Time System for Dynamic Hand Gesture Recognition with A Depth Sensor, pp.1975-1979, 2012. ,
Learning realistic human actions from movies, 2008 IEEE Conference on Computer Vision and Pattern Recognition, pp.1-8, 2008. ,
DOI : 10.1109/CVPR.2008.4587756
URL : https://hal.archives-ouvertes.fr/inria-00548659
Expandable Data-Driven Graphical Modeling of Human Actions Based on Salient Postures, IEEE Transactions on Circuits and Systems for Video Technology, vol.18, issue.11, pp.1499-1510, 2008. ,
Action recognition based on a bag of 3D points, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Workshops, pp.9-14, 2010. ,
DOI : 10.1109/CVPRW.2010.5543273
Improving Action Recognition Using Collaborative Representation of Local Depth Map Feature, IEEE Signal Processing Letters, vol.23, issue.9, pp.1241-1245, 2016. ,
DOI : 10.1109/LSP.2016.2592419
Encoding High Dimensional Local Features by Sparse Coding Based Fisher Vectors, pp.1143-1151, 2014. ,
Group Sparsity and Geometry Constrained Dictionary Learning for Action Recognition from Depth Maps, 2013 IEEE International Conference on Computer Vision, pp.1809-1816, 2013. ,
DOI : 10.1109/ICCV.2013.227
A performance evaluation of local descriptors, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.27, issue.10, pp.1615-1630, 2005. ,
DOI : 10.1109/TPAMI.2005.188
URL : https://hal.archives-ouvertes.fr/inria-00548529
Information Retrieval for Music and Motion, Inc, 2007. ,
DOI : 10.1007/978-3-540-74048-3
A Mathematical Introduction to Robotic Manipulation, 1994. ,
Detection of gradual transitions through temporal slice analysis, Proceedings. 1999 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No PR00149), pp.36-41, 1999. ,
DOI : 10.1109/CVPR.1999.786914
Performance evaluation of texture measures with classification based on Kullback discrimination of distributions, Proceedings of 12th International Conference on Pattern Recognition, pp.582-585, 1994. ,
DOI : 10.1109/ICPR.1994.576366
HON4D: Histogram of Oriented 4D Normals for Activity Recognition from Depth Sequences, 2013 IEEE Conference on Computer Vision and Pattern Recognition, pp.716-723, 2013. ,
DOI : 10.1109/CVPR.2013.98
A Discussion on the Validation Tests Employed to Compare Human Action Recognition Methods Using the MSR Action3D Dataset, p.7390, 2014. ,
3D Action Recognition from Novel Viewpoints, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp.1506-1515, 2016. ,
DOI : 10.1109/CVPR.2016.167
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
URL : https://hal.archives-ouvertes.fr/hal-00779493
Deep learning in neural networks: An overview, Neural Networks, vol.61, pp.85-117, 2015. ,
DOI : 10.1016/j.neunet.2014.09.003
Describing Trajectory of Surface Patch for Human Action Recognition on RGB and Depth Videos, IEEE Signal Processing Letters, vol.22, issue.4, pp.426-429, 2015. ,
DOI : 10.1109/LSP.2014.2361901
Vlfeat, Proceedings of the international conference on Multimedia, MM '10, pp.1469-1472, 2010. ,
DOI : 10.1145/1873951.1874249
Human Action Recognition by Representing 3D Skeletons as Points in a Lie Group, 2014 IEEE Conference on Computer Vision and Pattern Recognition, pp.588-595, 2014. ,
DOI : 10.1109/CVPR.2014.82
An Approach to Pose-Based Action Recognition, 2013 IEEE Conference on Computer Vision and Pattern Recognition, pp.915-922, 2013. ,
DOI : 10.1109/CVPR.2013.123
Robust 3D Action Recognition with Random Occupancy Patterns, pp.872-885, 2012. ,
DOI : 10.1007/978-3-642-33709-3_62
Mining actionlet ensemble for action recognition with depth cameras, 2012 IEEE Conference on Computer Vision and Pattern Recognition, pp.1290-1297, 2012. ,
DOI : 10.1109/CVPR.2012.6247813
Super Normal Vector for Activity Recognition Using Depth Sequences, 2014 IEEE Conference on Computer Vision and Pattern Recognition, pp.804-811, 2014. ,
DOI : 10.1109/CVPR.2014.108
EigenJoints-based Action Recognition Using Naive-Bayes-Nearest- Neighbor, pp.14-19, 2012. ,
Recognizing actions using depth motion maps-based histograms of oriented gradients, Proceedings of the 20th ACM international conference on Multimedia, MM '12, pp.1057-1060, 2012. ,
DOI : 10.1145/2393347.2396382
Local Derivative Pattern Versus Local Binary Pattern: Face Recognition With High-Order Local Pattern Descriptor, IEEE Transactions on Image Processing, vol.19, issue.2, pp.533-544, 2010. ,
DOI : 10.1109/TIP.2009.2035882
Dynamic Texture Recognition Using Local Binary Patterns with an Application to Facial Expressions, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.29, issue.6, pp.915-928, 2007. ,
DOI : 10.1109/TPAMI.2007.1110
Fusing Spatiotemporal Features and Joints for 3D Action Recognition, 2013 IEEE Conference on Computer Vision and Pattern Recognition Workshops, pp.486-491, 2013. ,
DOI : 10.1109/CVPRW.2013.78