LIBSVM, ACM Transactions on Intelligent Systems and Technology, vol.2, issue.3, pp.27-28, 2011. ,
DOI : 10.1145/1961189.1961199
Revisiting the VLAD image representation, Proceedings of the 21st ACM international conference on Multimedia, MM '13, 2013. ,
DOI : 10.1145/2502081.2502171
URL : https://hal.archives-ouvertes.fr/hal-00840653
3D Human Action Recognition by Shape Analysis of Motion Trajectories on Riemannian Manifold, IEEE Transactions on Cybernetics, 2014. ,
URL : https://hal.archives-ouvertes.fr/hal-01056397
Temporal and object relations in unsupervised plan and activity recognition, AI for HRI: Papers from the AAAI 2015 Fall Symp, pp.48-50, 2015. ,
Aggregating local descriptors into a compact image representation, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp.3304-3311, 2010. ,
DOI : 10.1109/CVPR.2010.5540039
Aggregating Local Image Descriptors into Compact Codes, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.34, issue.9, pp.1704-1716, 2012. ,
DOI : 10.1109/TPAMI.2011.235
Graph-based approach for 3D human skeletal action recognition, Pattern Recognition Letters, vol.87, 2016. ,
DOI : 10.1016/j.patrec.2016.07.021
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
A Survey on Human Action Recognition Using Depth Sensors, 2015 International Conference on Digital Image Computing: Techniques and Applications (DICTA), pp.1-8, 2015. ,
DOI : 10.1109/DICTA.2015.7371223
Range-Sample Depth Feature for Action Recognition, 2014 IEEE Conference on Computer Vision and Pattern Recognition, pp.772-779, 2014. ,
DOI : 10.1109/CVPR.2014.104
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.432.7338
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
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.665.3646
A Bayesian approach for task recognition and future human activity prediction, The 23rd IEEE International Symposium on Robot and Human Interactive Communication, pp.726-731, 2013. ,
DOI : 10.1109/ROMAN.2014.6926339
A survey on vision-based human action recognition, Image and Vision Computing, vol.28, issue.6, pp.976-990, 2010. ,
DOI : 10.1016/j.imavis.2009.11.014
Histogram of Oriented Principal Components for Cross-View Action Recognition, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.38, issue.12, pp.1-1, 2016. ,
DOI : 10.1109/TPAMI.2016.2533389
Descriptor Optimization for Multimedia Indexing and Retrieval, Multimedia Tools and Applications (MTAP), pp.1267-1290, 2015. ,
DOI : 10.1109/cbmi.2013.6576554
URL : https://hal.archives-ouvertes.fr/hal-00953090
Recognizing Actions from Depth Cameras as Weakly Aligned Multi-part Bag-of-Poses, 2013 IEEE Conference on Computer Vision and Pattern Recognition Workshops, pp.479-485, 2013. ,
DOI : 10.1109/CVPRW.2013.77
Real-time Human Pose Recognition in Parts from Single Depth Images, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), CVPR '11, pp.1297-1304, 2011. ,
Accurate 3D action recognition using learning on the Grassmann manifold, Pattern Recognition, vol.48, issue.2, pp.556-567, 2015. ,
DOI : 10.1016/j.patcog.2014.08.011
URL : https://hal.archives-ouvertes.fr/hal-01056399
An effective fusion scheme of spatio-temporal features for human action recognition in RGB-D video, 2013 International Conference on Control, Automation and Information Sciences (ICCAIS), pp.246-251, 2013. ,
DOI : 10.1109/ICCAIS.2013.6720562
Differential Recurrent Neural Networks for Action Recognition, 2015 IEEE International Conference on Computer Vision (ICCV), 2015. ,
DOI : 10.1109/ICCV.2015.460
URL : http://arxiv.org/abs/1504.06678
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
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
Distance Metric Learning for Large Margin Nearest Neighbor Classification, The Journal of Machine Learning Research (JMLR), vol.10, pp.207-244, 2009. ,
A survey of vision-based methods for action representation, segmentation and recognition, Computer Vision and Image Understanding, vol.115, issue.2, pp.224-241, 2011. ,
DOI : 10.1016/j.cviu.2010.10.002
URL : https://hal.archives-ouvertes.fr/inria-00459653
View invariant human action recognition using histograms of 3D joints, 2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, pp.20-27, 2012. ,
DOI : 10.1109/CVPRW.2012.6239233
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
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.665.8605
The Moving Pose: An Efficient 3D Kinematics Descriptor for Low-Latency Action Recognition and Detection, 2013 IEEE International Conference on Computer Vision, pp.2752-2759, 2013. ,
DOI : 10.1109/ICCV.2013.342
RGB-D-based action recognition datasets: A survey, Pattern Recognition, vol.60, pp.86-105, 2016. ,
DOI : 10.1016/j.patcog.2016.05.019
URL : http://arxiv.org/abs/1601.05511
Cooccurrence Feature Learning for Skeleton based Action Recognition using Regularized Deep LSTM Networks, Association for the Advancement of Artificial Intelligence (AAAI), 2016. ,
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