Super Normal Vector for Activity Recognition Using Depth Sequences
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[1] Alberto Del Bimbo,et al. Recognizing Actions from Depth Cameras as Weakly Aligned Multi-part Bag-of-Poses , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition Workshops.
[2] Cordelia Schmid,et al. Dense Trajectories and Motion Boundary Descriptors for Action Recognition , 2013, International Journal of Computer Vision.
[3] James M. Keller,et al. Histogram of Oriented Normal Vectors for Object Recognition with a Depth Sensor , 2012, ACCV.
[4] 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.
[5] Alan L. Yuille,et al. An Approach to Pose-Based Action Recognition , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.
[6] Cristian Sminchisescu,et al. The Moving Pose: An Efficient 3D Kinematics Descriptor for Low-Latency Action Recognition and Detection , 2013, 2013 IEEE International Conference on Computer Vision.
[7] Andrew Y. Ng,et al. The Importance of Encoding Versus Training with Sparse Coding and Vector Quantization , 2011, ICML.
[8] 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.
[9] Ying Wu,et al. Mining actionlet ensemble for action recognition with depth cameras , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.
[10] Cordelia Schmid,et al. Aggregating local descriptors into a compact image representation , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[11] 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.
[12] Cordelia Schmid,et al. Learning realistic human actions from movies , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.
[13] Honglak Lee,et al. Convolutional deep belief networks for scalable unsupervised learning of hierarchical representations , 2009, ICML '09.
[14] 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.
[15] 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.
[16] Chih-Jen Lin,et al. LIBLINEAR: A Library for Large Linear Classification , 2008, J. Mach. Learn. Res..
[17] Ling Shao,et al. Learning Discriminative Representations from RGB-D Video Data , 2013, IJCAI.
[18] Richard Bowden,et al. Hollywood 3D: Recognizing Actions in 3D Natural Scenes , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.
[19] Ying Wu,et al. Robust 3D Action Recognition with Random Occupancy Patterns , 2012, ECCV.
[20] Jean Ponce,et al. Learning mid-level features for recognition , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[21] Mario Fernando Montenegro Campos,et al. STOP: Space-Time Occupancy Patterns for 3D Action Recognition from Depth Map Sequences , 2012, CIARP.
[22] Xiaodong Yang,et al. Recognizing actions using depth motion maps-based histograms of oriented gradients , 2012, ACM Multimedia.
[23] Thomas Mensink,et al. Improving the Fisher Kernel for Large-Scale Image Classification , 2010, ECCV.
[24] Toby Sharp,et al. Real-time human pose recognition in parts from single depth images , 2011, CVPR.
[25] Thomas S. Huang,et al. Image Classification Using Super-Vector Coding of Local Image Descriptors , 2010, ECCV.
[26] Guillermo Sapiro,et al. Online dictionary learning for sparse coding , 2009, ICML '09.
[27] 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).