Skeletal Quads: Human Action Recognition Using Joint Quadruples
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Georgios Evangelidis | Gurkirt Singh | Radu Horaud | R. Horaud | Gurkirt Singh | Georgios Evangelidis
[1] Ruzena Bajcsy,et al. Sequence of the Most Informative Joints (SMIJ): A new representation for human skeletal action recognition , 2012, 2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops.
[2] Mohan M. Trivedi,et al. Joint Angles Similarities and HOG2 for Action Recognition , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition Workshops.
[3] Tido Röder,et al. Documentation Mocap Database HDM05 , 2007 .
[4] Ying Wu,et al. Robust 3D Action Recognition with Random Occupancy Patterns , 2012, ECCV.
[5] Thomas Mensink,et al. Image Classification with the Fisher Vector: Theory and Practice , 2013, International Journal of Computer Vision.
[6] Cordelia Schmid,et al. Beyond Bags of Features: Spatial Pyramid Matching for Recognizing Natural Scene Categories , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).
[7] Thomas Mensink,et al. Improving the Fisher Kernel for Large-Scale Image Classification , 2010, ECCV.
[8] Xiaodong Yang,et al. EigenJoints-based action recognition using Naïve-Bayes-Nearest-Neighbor , 2012, 2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops.
[9] David Haussler,et al. Exploiting Generative Models in Discriminative Classifiers , 1998, NIPS.
[10] Andrew W. Fitzgibbon,et al. Real-time human pose recognition in parts from single depth images , 2011, CVPR 2011.
[11] Jake K. Aggarwal,et al. Spatio-temporal Depth Cuboid Similarity Feature for Activity Recognition Using Depth Camera , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.
[12] Mario Fernando Montenegro Campos,et al. On the improvement of human action recognition from depth map sequences using Space-Time Occupancy Patterns , 2014, Pattern Recognit. Lett..
[13] Ying Wu,et al. Mining actionlet ensemble for action recognition with depth cameras , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.
[14] Ruzena Bajcsy,et al. Bio-inspired Dynamic 3D Discriminative Skeletal Features for Human Action Recognition , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition Workshops.
[15] Chih-Jen Lin,et al. LIBSVM: A library for support vector machines , 2011, TIST.
[16] Jake K. Aggarwal,et al. Human activity recognition from 3D data: A review , 2014, Pattern Recognit. Lett..
[17] Christian Bauckhage,et al. Efficient Subframe Video Alignment Using Short Descriptors , 2013, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[18] Wanqing Li,et al. Action recognition based on a bag of 3D points , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Workshops.
[19] Zicheng Liu,et al. HON4D: Histogram of Oriented 4D Normals for Activity Recognition from Depth Sequences , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.
[20] Qing Zhang,et al. A Survey on Human Motion Analysis from Depth Data , 2013, Time-of-Flight and Depth Imaging.
[21] Jake K. Aggarwal,et al. View invariant human action recognition using histograms of 3D joints , 2012, 2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops.
[22] S. Roweis,et al. ASTROMETRY.NET: BLIND ASTROMETRIC CALIBRATION OF ARBITRARY ASTRONOMICAL IMAGES , 2009, 0910.2233.
[23] Eshed Ohn-Bar,et al. Joint Angles Similiarities and HOG 2 for Action Recognition , 2013 .