A Hierarchical Pose-Based Approach to Complex Action Understanding Using Dictionaries of Actionlets and Motion Poselets
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[1] Cassandra Mariette Carley. Human Activity Analysis , 2018 .
[2] Thorsten Joachims,et al. Learning structural SVMs with latent variables , 2009, ICML '09.
[3] Nanning Zheng,et al. Concurrent Action Detection with Structural Prediction , 2013, 2013 IEEE International Conference on Computer Vision.
[4] Cordelia Schmid,et al. Action recognition by dense trajectories , 2011, CVPR 2011.
[5] Rémi Ronfard,et al. A survey of vision-based methods for action representation, segmentation and recognition , 2011, Comput. Vis. Image Underst..
[6] Pietro Perona,et al. Human action recognition by sequence of movelet codewords , 2002, Proceedings. First International Symposium on 3D Data Processing Visualization and Transmission.
[7] Jian-Huang Lai,et al. Jointly Learning Heterogeneous Features for RGB-D Activity Recognition , 2017, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[8] David A. Forsyth,et al. Automatic Annotation of Everyday Movements , 2003, NIPS.
[9] Václav Hlavác,et al. Pose primitive based human action recognition in videos or still images , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.
[10] Alan L. Yuille,et al. An Approach to Pose-Based Action Recognition , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.
[11] Ying Wu,et al. Mining actionlet ensemble for action recognition with depth cameras , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.
[12] Jitendra Malik,et al. Poselets: Body part detectors trained using 3D human pose annotations , 2009, 2009 IEEE 12th International Conference on Computer Vision.
[13] Bernt Schiele,et al. A database for fine grained activity detection of cooking activities , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.
[14] Limin Wang,et al. Video Action Detection with Relational Dynamic-Poselets , 2014, ECCV.
[15] Anupam Agrawal,et al. A survey on activity recognition and behavior understanding in video surveillance , 2012, The Visual Computer.
[16] Rama Chellappa,et al. Human Action Recognition by Representing 3D Skeletons as Points in a Lie Group , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[17] Subhransu Maji,et al. Detecting People Using Mutually Consistent Poselet Activations , 2010, ECCV.
[18] Hanqing Lu,et al. Spatio-Temporal Triangular-Chain CRF for Activity Recognition , 2015, ACM Multimedia.
[19] Ronald Poppe,et al. A survey on vision-based human action recognition , 2010, Image Vis. Comput..
[20] Mani Golparvar-Fard,et al. Automated Vision-based Recognition of Construction Worker Actions for Building Interior Construction , 2012 .
[21] G. Johansson. Visual perception of biological motion and a model for its analysis , 1973 .
[22] 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.
[23] Iasonas Kokkinos,et al. Discovering discriminative action parts from mid-level video representations , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.
[24] Yang Wang,et al. Learning a discriminative hidden part model for human action recognition , 2008, NIPS.
[25] 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.
[26] Cordelia Schmid,et al. Towards Understanding Action Recognition , 2013, 2013 IEEE International Conference on Computer Vision.
[27] Fei-Fei Li,et al. Modeling mutual context of object and human pose in human-object interaction activities , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[28] Daphne Koller,et al. Self-Paced Learning for Latent Variable Models , 2010, NIPS.
[29] René Vidal,et al. Moving Poselets: A Discriminative and Interpretable Skeletal Motion Representation for Action Recognition , 2015, 2015 IEEE International Conference on Computer Vision Workshop (ICCVW).
[30] Gwenn Englebienne,et al. Learning latent structure for activity recognition , 2014, 2014 IEEE International Conference on Robotics and Automation (ICRA).
[31] Song-Chun Zhu,et al. Joint action recognition and pose estimation from video , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[32] J.K. Aggarwal,et al. Human activity analysis , 2011, ACM Comput. Surv..
[33] Subhransu Maji,et al. Action recognition from a distributed representation of pose and appearance , 2011, CVPR 2011.
[34] Thorsten Joachims,et al. Cutting-plane training of structural SVMs , 2009, Machine Learning.
[35] Silvio Savarese,et al. Action Recognition by Hierarchical Mid-Level Action Elements , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[36] Alan L. Yuille,et al. The Concave-Convex Procedure , 2003, Neural Computation.
[37] Li Fei-Fei,et al. Every Moment Counts: Dense Detailed Labeling of Actions in Complex Videos , 2015, International Journal of Computer Vision.
[38] Juan Carlos Niebles,et al. Discriminative Hierarchical Modeling of Spatio-temporally Composable Human Activities , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[39] Yun Fu,et al. Bilinear heterogeneous information machine for RGB-D action recognition , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[40] Yong Du,et al. Hierarchical recurrent neural network for skeleton based action recognition , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[41] Andrew W. Fitzgibbon,et al. Real-time human pose recognition in parts from single depth images , 2011, CVPR 2011.
[42] Cordelia Schmid,et al. P-CNN: Pose-Based CNN Features for Action Recognition , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).