3D Action Recognition Using Multiscale Energy-Based Global Ternary Image
暂无分享,去创建一个
Hong Liu | Chen Chen | Mengyuan Liu | Hong Liu | Mengyuan Liu | Chen Chen
[1] Mario Fernando Montenegro Campos,et al. STOP: Space-Time Occupancy Patterns for 3D Action Recognition from Depth Map Sequences , 2012, CIARP.
[2] Andrea Vedaldi,et al. Vlfeat: an open and portable library of computer vision algorithms , 2010, ACM Multimedia.
[3] Yun Yang,et al. Action recognition from depth sequences using weighted fusion of 2D and 3D auto-correlation of gradients features , 2016, Multimedia Tools and Applications.
[4] Lei Wang,et al. Beyond Covariance: Feature Representation with Nonlinear Kernel Matrices , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[5] Nasser Kehtarnavaz,et al. Action Recognition from Depth Sequences Using Depth Motion Maps-Based Local Binary Patterns , 2015, 2015 IEEE Winter Conference on Applications of Computer Vision.
[6] Xiaodong Yang,et al. Recognizing actions using depth motion maps-based histograms of oriented gradients , 2012, ACM Multimedia.
[7] James W. Davis,et al. The Recognition of Human Movement Using Temporal Templates , 2001, IEEE Trans. Pattern Anal. Mach. Intell..
[8] 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.
[9] Guo-Jun Qi,et al. Differential Recurrent Neural Networks for Action Recognition , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[10] Nasser Kehtarnavaz,et al. Improving Human Action Recognition Using Fusion of Depth Camera and Inertial Sensors , 2015, IEEE Transactions on Human-Machine Systems.
[11] Xiaodong Yang,et al. Histogram of 3D Facets: A characteristic descriptor for hand gesture recognition , 2013, 2013 10th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG).
[12] Arif Mahmood,et al. Histogram of Oriented Principal Components for Cross-View Action Recognition , 2014, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[13] Yan Zhang,et al. Local Surface Geometric Feature for 3D human action recognition , 2016, Neurocomputing.
[14] Lu Yang,et al. Survey on 3D Hand Gesture Recognition , 2016, IEEE Transactions on Circuits and Systems for Video Technology.
[15] Cordelia Schmid,et al. Learning realistic human actions from movies , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.
[16] Pol Cirujeda,et al. 4DCov: A Nested Covariance Descriptor of Spatio-Temporal Features for Gesture Recognition in Depth Sequences , 2014, 2014 2nd International Conference on 3D Vision.
[17] Hong Liu,et al. Learning directional co-occurrence for human action classification , 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[18] Daijin Kim,et al. Robust human activity recognition from depth video using spatiotemporal multi-fused features , 2017, Pattern Recognit..
[19] 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.
[20] Hong Liu,et al. Salient pairwise spatio-temporal interest points for real-time activity recognition , 2016, CAAI Trans. Intell. Technol..
[21] Cordelia Schmid,et al. A Spatio-Temporal Descriptor Based on 3D-Gradients , 2008, BMVC.
[22] Bingbing Ni,et al. RGBD-HuDaAct: A color-depth video database for human daily activity recognition , 2011, ICCV Workshops.
[23] Hairong Qi,et al. Group Sparsity and Geometry Constrained Dictionary Learning for Action Recognition from Depth Maps , 2013, 2013 IEEE International Conference on Computer Vision.
[24] Andrew Zisserman,et al. Efficient Additive Kernels via Explicit Feature Maps , 2012, IEEE Trans. Pattern Anal. Mach. Intell..
[25] Alexandros André Chaaraoui,et al. A discussion on the validation tests employed to compare human action recognition methods using the MSR Action3D dataset , 2014, ArXiv.
[26] Yingli Tian,et al. Edge Enhanced Depth Motion Map for Dynamic Hand Gesture Recognition , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition Workshops.
[27] Ying Wu,et al. Mining actionlet ensemble for action recognition with depth cameras , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.
[28] Zhengyou Zhang,et al. Microsoft Kinect Sensor and Its Effect , 2012, IEEE Multim..
[29] Gang Wang,et al. NTU RGB+D: A Large Scale Dataset for 3D Human Activity Analysis , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[30] Li Ma,et al. Coupled hidden conditional random fields for RGB-D human action recognition , 2015, Signal Process..
[31] Nasser Kehtarnavaz,et al. A Real-Time Human Action Recognition System Using Depth and Inertial Sensor Fusion , 2016, IEEE Sensors Journal.
[32] Yong Du,et al. Hierarchical recurrent neural network for skeleton based action recognition , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[33] Rui Yang,et al. DMM-Pyramid Based Deep Architectures for Action Recognition with Depth Cameras , 2014, ACCV.
[34] Dan Schonfeld,et al. Event Analysis Based on Multiple Interactive Motion Trajectories , 2009, IEEE Transactions on Circuits and Systems for Video Technology.
[35] 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.
[36] Andreas E. Savakis,et al. Grassmannian Sparse Representations and Motion Depth Surfaces for 3D Action Recognition , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition Workshops.
[37] Yun Fu,et al. Hierarchical 3D kernel descriptors for action recognition using depth sequences , 2015, 2015 11th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG).
[38] Hong Liu,et al. 3D Action Recognition Using Multi-Temporal Depth Motion Maps and Fisher Vector , 2016, IJCAI.
[39] Nasser Kehtarnavaz,et al. A survey of depth and inertial sensor fusion for human action recognition , 2015, Multimedia Tools and Applications.
[40] Nasser Kehtarnavaz,et al. Real-time human action recognition based on depth motion maps , 2016, Journal of Real-Time Image Processing.
[41] Tian-Tsong Ng,et al. Multimodal Multipart Learning for Action Recognition in Depth Videos , 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[42] Ronen Basri,et al. Actions as space-time shapes , 2005, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1.
[43] Ling Shao,et al. Learning Discriminative Representations from RGB-D Video Data , 2013, IJCAI.
[44] Ying Wu,et al. Robust 3D Action Recognition with Random Occupancy Patterns , 2012, ECCV.
[45] H. Zhang,et al. Multi-perspective and multi-modality joint representation and recognition model for 3D action recognition , 2015, Neurocomputing.
[46] Susanna Spinsante,et al. Human Action Recognition Based on Temporal Pyramid of Key Poses Using RGB-D Sensors , 2016, ACIVS.
[47] Xiaodong Yang,et al. Super Normal Vector for Human Activity Recognition with Depth Cameras , 2017, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[48] Ling Guan,et al. Spatio-Temporal Pyramid Model based on depth maps for action recognition , 2015, 2015 IEEE 17th International Workshop on Multimedia Signal Processing (MMSP).
[49] Min-Chun Hu,et al. Human action recognition and retrieval using sole depth information , 2012, ACM Multimedia.
[50] Alan L. Yuille,et al. An Approach to Pose-Based Action Recognition , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.
[51] Cewu Lu,et al. Range-Sample Depth Feature for Action Recognition , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[52] James M. Keller,et al. Histogram of Oriented Normal Vectors for Object Recognition with a Depth Sensor , 2012, ACCV.
[53] Andrew W. Fitzgibbon,et al. Real-time human pose recognition in parts from single depth images , 2011, CVPR 2011.
[54] Alan L. Yuille,et al. Mining 3D Key-Pose-Motifs for Action Recognition , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[55] Arif Mahmood,et al. Discriminative human action classification using locality-constrained linear coding , 2016, Pattern Recognit. Lett..
[56] Yun Yang,et al. Action recognition using completed local binary patterns and multiple-class boosting classifier , 2015, 2015 3rd IAPR Asian Conference on Pattern Recognition (ACPR).
[57] Junsong Yuan,et al. Learning Actionlet Ensemble for 3D Human Action Recognition , 2014, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[58] Hong Liu,et al. Human action recognition using Adaptive Hierarchical Depth Motion Maps and Gabor filter , 2017, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[59] 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.
[60] Jing Zhang,et al. RGB-D-based action recognition datasets: A survey , 2016, Pattern Recognit..
[61] Yingli Tian,et al. Histogram of 3D Facets: A depth descriptor for human action and hand gesture recognition , 2015, Comput. Vis. Image Underst..
[62] Jing Zhang,et al. Action Recognition From Depth Maps Using Deep Convolutional Neural Networks , 2016, IEEE Transactions on Human-Machine Systems.
[63] Arif Mahmood,et al. Real time action recognition using histograms of depth gradients and random decision forests , 2014, IEEE Winter Conference on Applications of Computer Vision.
[64] Fabio Cuzzolin,et al. 3D Activity Recognition Using Motion History and Binary Shape Templates , 2014, ACCV Workshops.
[65] Michael Harville,et al. Foreground segmentation using adaptive mixture models in color and depth , 2001, Proceedings IEEE Workshop on Detection and Recognition of Events in Video.
[66] Pichao Wang,et al. Action Recognition Based on Joint Trajectory Maps Using Convolutional Neural Networks , 2016, ACM Multimedia.
[67] Hong Liu,et al. Depth Context: a new descriptor for human activity recognition by using sole depth sequences , 2016, Neurocomputing.
[68] Jake K. Aggarwal,et al. Human activity recognition from 3D data: A review , 2014, Pattern Recognit. Lett..