Grassmannian Representation of Motion Depth for 3D Human Gesture and Action Recognition
暂无分享,去创建一个
[1] 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.
[2] 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.
[3] 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.
[4] No Value,et al. IEEE International Conference on Image Processing , 2003 .
[5] Hassen Drira,et al. 3D Face Recognition under Expressions, Occlusions, and Pose Variations , 2013, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[6] Tae-Seong Kim,et al. Depth video-based human activity recognition system using translation and scaling invariant features for life logging at smart home , 2012, IEEE Transactions on Consumer Electronics.
[7] Rama Chellappa,et al. Statistical Computations on Grassmann and Stiefel Manifolds for Image and Video-Based Recognition , 2011, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[8] Alberto Del Bimbo,et al. Space-Time Pose Representation for 3D Human Action Recognition , 2013, ICIAP Workshops.
[9] Cordelia Schmid,et al. A Spatio-Temporal Descriptor Based on 3D-Gradients , 2008, BMVC.
[10] Alan Edelman,et al. The Geometry of Algorithms with Orthogonality Constraints , 1998, SIAM J. Matrix Anal. Appl..
[11] Z. Liu,et al. A real time system for dynamic hand gesture recognition with a depth sensor , 2012, 2012 Proceedings of the 20th European Signal Processing Conference (EUSIPCO).
[12] Andreas E. Savakis,et al. A spatiotemporal descriptor based on radial distances and 3D joint tracking for action classification , 2012, 2012 19th IEEE International Conference on Image Processing.
[13] Ying Wu,et al. Robust 3D Action Recognition with Random Occupancy Patterns , 2012, ECCV.
[14] 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.
[15] Andrew W. Fitzgibbon,et al. Real-time human pose recognition in parts from single depth images , 2011, CVPR 2011.
[16] SrivastavaAnuj,et al. 3D Face Recognition under Expressions, Occlusions, and Pose Variations , 2013 .
[17] Helena M. Mentis,et al. Instructing people for training gestural interactive systems , 2012, CHI.
[18] Mario Fernando Montenegro Campos,et al. STOP: Space-Time Occupancy Patterns for 3D Action Recognition from Depth Map Sequences , 2012, CIARP.
[19] Xiaodong Yang,et al. Recognizing actions using depth motion maps-based histograms of oriented gradients , 2012, ACM Multimedia.
[20] J. Ross Beveridge,et al. Tangent bundle for human action recognition , 2011, Face and Gesture 2011.
[21] Rama Chellappa,et al. Locally time-invariant models of human activities using trajectories on the grassmannian , 2009, CVPR.
[22] James M. Keller,et al. Histogram of Oriented Normal Vectors for Object Recognition with a Depth Sensor , 2012, ACCV.
[23] Ying Wu,et al. Mining actionlet ensemble for action recognition with depth cameras , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.
[24] Peter H. N. de With,et al. Automatic video-based human motion analyzer for consumer surveillance system , 2009, IEEE Transactions on Consumer Electronics.