Pose-invariant action recognition for automated behaviour analysis

[1]  Alan L. Yuille,et al.  An Approach to Pose-Based Action Recognition , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.

[2]  Dacheng Tao,et al.  Slow Feature Analysis for Human Action Recognition , 2012, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[3]  Bowen Zhang,et al.  Real-Time Action Recognition with Enhanced Motion Vector CNNs , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[4]  Wei Huang,et al.  Human action recognition based on Self Organizing Map , 2010, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing.

[5]  Jake K. Aggarwal,et al.  A hierarchical Bayesian network for event recognition of human actions and interactions , 2004, Multimedia Systems.

[6]  Zheru Chi,et al.  Realistic Human Action Recognition With Multimodal Feature Selection and Fusion , 2013, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

[7]  Honglak Lee,et al.  Convolutional deep belief networks for scalable unsupervised learning of hierarchical representations , 2009, ICML '09.

[8]  François Brémond,et al.  Contextual Statistics of Space-Time Ordered Features for Human Action Recognition , 2012, 2012 IEEE Ninth International Conference on Advanced Video and Signal-Based Surveillance.

[9]  Tomaso A. Poggio,et al.  Example-Based Object Detection in Images by Components , 2001, IEEE Trans. Pattern Anal. Mach. Intell..

[10]  Rama Chellappa,et al.  Quasi-invariants for human action representation and recognition , 2002, Object recognition supported by user interaction for service robots.

[11]  Katerina Fragkiadaki,et al.  Pose from Flow and Flow from Pose , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.

[12]  Songtao Ding,et al.  A Human Action Recognition Method Based on Tchebichef Moment Invariants and Temporal Templates , 2012, 2012 4th International Conference on Intelligent Human-Machine Systems and Cybernetics.

[13]  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.

[14]  Michael J. Black,et al.  HumanEva: Synchronized Video and Motion Capture Dataset and Baseline Algorithm for Evaluation of Articulated Human Motion , 2010, International Journal of Computer Vision.

[15]  Alexandros Iosifidis,et al.  Neural representation and learning for multi-view human action recognition , 2012, The 2012 International Joint Conference on Neural Networks (IJCNN).

[16]  Limin Wang,et al.  Action recognition with trajectory-pooled deep-convolutional descriptors , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[17]  Takeo Kanade,et al.  First-Person Vision , 2012, Proceedings of the IEEE.

[18]  Ying Wu,et al.  Discriminative subvolume search for efficient action detection , 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.

[19]  Wei Liang,et al.  3D head pose estimation with convolutional neural network trained on synthetic images , 2016, 2016 IEEE International Conference on Image Processing (ICIP).

[20]  Andrew Zisserman,et al.  Convolutional Two-Stream Network Fusion for Video Action Recognition , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[21]  Juan Carlos Niebles,et al.  Unsupervised Learning of Human Action Categories Using Spatial-Temporal Words , 2006, BMVC.

[22]  Chee Kheong Siew,et al.  Universal Approximation using Incremental Constructive Feedforward Networks with Random Hidden Nodes , 2006, IEEE Transactions on Neural Networks.

[23]  Jiebo Luo,et al.  Action recognition in unconstrained amateur videos , 2009, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing.

[24]  Rita Cucchiara,et al.  Detecting Moving Objects, Ghosts, and Shadows in Video Streams , 2003, IEEE Trans. Pattern Anal. Mach. Intell..

[25]  Aaron F. Bobick,et al.  Recognition of human body motion using phase space constraints , 1995, Proceedings of IEEE International Conference on Computer Vision.

[26]  Bill Triggs,et al.  Histograms of oriented gradients for human detection , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).

[27]  Ramakant Nevatia,et al.  Single View Human Action Recognition using Key Pose Matching and Viterbi Path Searching , 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.

[28]  Honghai Liu,et al.  A Unified Fuzzy Framework for Human-Hand Motion Recognition , 2011, IEEE Transactions on Fuzzy Systems.

[29]  Ramakant Nevatia,et al.  Coupled Hidden Semi Markov Models for Activity Recognition , 2007, 2007 IEEE Workshop on Motion and Video Computing (WMVC'07).

[30]  Ling Shao,et al.  Learning Discriminative Key Poses for Action Recognition , 2013, IEEE Transactions on Cybernetics.

[31]  Larry S. Davis,et al.  Understanding videos, constructing plots learning a visually grounded storyline model from annotated videos , 2009, CVPR.

[32]  Fei-Fei Li,et al.  Recognizing Human-Object Interactions in Still Images by Modeling the Mutual Context of Objects and Human Poses , 2012, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[33]  Ramakant Nevatia,et al.  Tracking of Multiple, Partially Occluded Humans based on Static Body Part Detection , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).

[34]  Patrick Pérez,et al.  View-Independent Action Recognition from Temporal Self-Similarities , 2011, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[35]  Ronen Basri,et al.  Actions as space-time shapes , 2005, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1.

[36]  Yongtian Wang,et al.  Auto learning temporal atomic actions for activity classification , 2013, Pattern Recognit..

[37]  Mao Ye,et al.  Head Pose Estimation Based on Robust Convolutional Neural Network , 2016 .

[38]  Jiebo Luo,et al.  Recognizing realistic actions from videos “in the wild” , 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.

[39]  Shyh-Kang Jeng,et al.  Action recognition using instance-specific and class-consistent cues , 2012, 2012 19th IEEE International Conference on Image Processing.

[40]  Shuicheng Yan,et al.  ML-fusion based multi-model human detection and tracking for robust human-robot interfaces , 2009, 2009 Workshop on Applications of Computer Vision (WACV).

[41]  Tim J. Ellis,et al.  ViHASi: Virtual human action silhouette data for the performance evaluation of silhouette-based action recognition methods , 2008, ICDSC.

[42]  Vinodkrishnan Kulathumani,et al.  Real-time multi-view human action recognition using a wireless camera network , 2011, 2011 Fifth ACM/IEEE International Conference on Distributed Smart Cameras.

[43]  Dacheng Tao,et al.  This article has been accepted for inclusion in a future issue of this journal. Content is final as presented, with the exception of pagination. IEEE TRANSACTIONS ON SYSTEMS, MAN, AND CYBERNETICS—PART B: CYBERNETICS 1 Cross-Domain Human Action Recognition , 2022 .

[44]  Jian-Jiun Ding,et al.  Real time accelerometer-based gait recognition using adaptive windowed wavelet transforms , 2012, 2012 IEEE Asia Pacific Conference on Circuits and Systems.

[45]  Viet Vo,et al.  An effective approach for human actions recognition based on optical flow and edge features , 2012, ICCA 2012.

[46]  S. Sclaroff,et al.  Web-Based Classifiers for Human Action Recognition , 2012, IEEE Transactions on Multimedia.

[47]  Xuelong Li,et al.  View-Independent Behavior Analysis , 2009, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

[48]  Peter V. Gehler,et al.  Poselet Conditioned Pictorial Structures , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.

[49]  Ronald Poppe,et al.  A survey on vision-based human action recognition , 2010, Image Vis. Comput..

[50]  Larry S. Davis,et al.  Towards 3-D model-based tracking and recognition of human movement: a multi-view approach , 1995 .

[51]  Ling Shao,et al.  Boosted key-frame selection and correlated pyramidal motion-feature representation for human action recognition , 2013, Pattern Recognit..

[52]  Jyh-Yeong Chang,et al.  Fuzzy rule inference based human activity recognition , 2009, 2009 IEEE Control Applications, (CCA) & Intelligent Control, (ISIC).

[53]  Alex Pentland,et al.  Space-time gestures , 1993, Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.

[54]  Simone Calderara,et al.  Action Signature: A Novel Holistic Representation for Action Recognition , 2008, 2008 IEEE Fifth International Conference on Advanced Video and Signal Based Surveillance.

[55]  Alexandros André Chaaraoui,et al.  Silhouette-based human action recognition using sequences of key poses , 2013, Pattern Recognit. Lett..

[56]  Andrea Vedaldi,et al.  Dynamic Image Networks for Action Recognition , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[57]  Cordelia Schmid,et al.  Dense Trajectories and Motion Boundary Descriptors for Action Recognition , 2013, International Journal of Computer Vision.

[58]  Geoffrey E. Hinton,et al.  ImageNet classification with deep convolutional neural networks , 2012, Commun. ACM.

[59]  Luc Van Gool,et al.  Action snippets: How many frames does human action recognition require? , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.

[60]  Larry S. Davis,et al.  Recognizing actions by shape-motion prototype trees , 2009, 2009 IEEE 12th International Conference on Computer Vision.

[61]  Thomas Serre,et al.  HMDB: A large video database for human motion recognition , 2011, 2011 International Conference on Computer Vision.

[62]  Larry S. Davis,et al.  Recognizing Human Actions by Learning and Matching Shape-Motion Prototype Trees , 2012, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[63]  Dimitrios Makris,et al.  G3D: A gaming action dataset and real time action recognition evaluation framework , 2012, 2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops.

[64]  Fei-Fei Li,et al.  Large-Scale Video Classification with Convolutional Neural Networks , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.

[65]  Siu-Yeung Cho,et al.  Recognising human actions by analysing negative spaces , 2012 .

[66]  Chu Kiong Loo,et al.  Biological inspired human action recognition , 2013, 2013 IEEE Workshop on Robotic Intelligence in Informationally Structured Space (RiiSS).

[67]  Kimitoshi Yamazaki,et al.  Home-Assistant Robot for an Aging Society , 2012, Proceedings of the IEEE.

[68]  Henri Bouma,et al.  Recognition and localization of relevant human behavior in videos , 2013, Defense, Security, and Sensing.

[69]  Mark Everingham,et al.  Clustered Pose and Nonlinear Appearance Models for Human Pose Estimation , 2010, BMVC.

[70]  Xin Guo,et al.  A spatio-temporal interest point detector based on vorticity for action recognition , 2013, 2013 IEEE International Conference on Multimedia and Expo Workshops (ICMEW).

[71]  Afshin Dehghan,et al.  Part-based multiple-person tracking with partial occlusion handling , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.

[72]  Josechu J. Guerrero,et al.  View-invariant human feature extraction for video-surveillance applications , 2007, 2007 IEEE Conference on Advanced Video and Signal Based Surveillance.

[73]  Masamichi Shimosaka,et al.  Fast Online Action Recognition with Boosted Combinational Motion Features , 2006, 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[74]  Ian D. Reid,et al.  Estimating Gaze Direction from Low-Resolution Faces in Video , 2006, ECCV.

[75]  Richard Souvenir,et al.  Learning the viewpoint manifold for action recognition , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.

[76]  James W. Davis,et al.  The Recognition of Human Movement Using Temporal Templates , 2001, IEEE Trans. Pattern Anal. Mach. Intell..

[77]  Ehud Rivlin,et al.  Propagating Certainty in Petri Nets for Activity Recognition , 2013, IEEE Transactions on Circuits and Systems for Video Technology.

[78]  Luc Van Gool,et al.  Hough Forests for Object Detection, Tracking, and Action Recognition , 2011, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[79]  Isabelle Guyon,et al.  ChaLearn gesture challenge: Design and first results , 2012, 2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops.

[80]  Trevor Darrell,et al.  Adaptive Vocabulary Forests br Dynamic Indexing and Category Learning , 2007, 2007 IEEE 11th International Conference on Computer Vision.

[81]  Varun Ramakrishna,et al.  Tracking Human Pose by Tracking Symmetric Parts , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.

[82]  Inho Choi,et al.  Local Transform Features and Hybridization for Accurate Face and Human Detection , 2013, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[83]  Tim J. Ellis,et al.  Human action recognition using robust power spectrum features , 2008, 2008 15th IEEE International Conference on Image Processing.

[84]  Rama Chellappa,et al.  Activity recognition using the dynamics of the configuration of interacting objects , 2003, 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings..

[85]  Hao Jiang,et al.  Human pose estimation using consistent max-covering , 2009, 2009 IEEE 12th International Conference on Computer Vision.

[86]  James M. Rehg,et al.  A Scalable Approach to Activity Recognition based on Object Use , 2007, 2007 IEEE 11th International Conference on Computer Vision.

[87]  Mubarak Shah,et al.  Chaotic Invariants for Human Action Recognition , 2007, 2007 IEEE 11th International Conference on Computer Vision.

[88]  Fang Zhang,et al.  View-invariant action recognition in surveillance videos , 2011, The First Asian Conference on Pattern Recognition.

[89]  Deva Ramanan,et al.  Face detection, pose estimation, and landmark localization in the wild , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.

[90]  Iasonas Kokkinos,et al.  Rapid Deformable Object Detection using Dual-Tree Branch-and-Bound , 2011, NIPS.

[91]  Barbara Caputo,et al.  Recognizing human actions: a local SVM approach , 2004, Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004..

[92]  Janusz Konrad,et al.  Action Recognition From Video Using Feature Covariance Matrices , 2013, IEEE Transactions on Image Processing.

[93]  Christian Wolf,et al.  Sequential Deep Learning for Human Action Recognition , 2011, HBU.

[94]  Ke Li,et al.  Head Pose Estimation from Low-Resolution Image with Hough Forest , 2010, 2010 Chinese Conference on Pattern Recognition (CCPR).

[95]  Raymond H. Cuijpers,et al.  Head pose estimation for real-time low-resolution video , 2010, ECCE.

[96]  Stefan Carlsson,et al.  CNN Features Off-the-Shelf: An Astounding Baseline for Recognition , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition Workshops.

[97]  Pascal Fua,et al.  Making Action Recognition Robust to Occlusions and Viewpoint Changes , 2010, ECCV.

[98]  Ming-Sui Lee,et al.  Human action recognition using Action Trait Code , 2012, Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012).

[99]  Larry S. Davis,et al.  Objects in Action: An Approach for Combining Action Understanding and Object Perception , 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.

[100]  Yiannis Aloimonos,et al.  View-Invariant Modeling and Recognition of Human Actions Using Grammars , 2006, WDV.

[101]  Guodong Guo,et al.  A Study on Visible to Infrared Action Recognition , 2013, IEEE Signal Processing Letters.

[102]  Michael J. Black,et al.  Parameterized Modeling and Recognition of Activities , 1999, Comput. Vis. Image Underst..

[103]  Jun Li,et al.  Robust Representation and Recognition of Facial Emotions Using Extreme Sparse Learning , 2015, IEEE Transactions on Image Processing.

[104]  Christian Szegedy,et al.  DeepPose: Human Pose Estimation via Deep Neural Networks , 2013, 2014 IEEE Conference on Computer Vision and Pattern Recognition.

[105]  Irfan A. Essa,et al.  Exploiting human actions and object context for recognition tasks , 1999, Proceedings of the Seventh IEEE International Conference on Computer Vision.

[106]  Jordi Gonzàlez,et al.  View-invariant human-body detection with extension to human action recognition using component-wise HMM of body parts , 2008, 2008 8th IEEE International Conference on Automatic Face & Gesture Recognition.

[107]  I. Patras,et al.  Spatiotemporal salient points for visual recognition of human actions , 2005, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

[108]  Dong Liang,et al.  A 3D object recognition and pose estimation system using deep learning method , 2014, 2014 4th IEEE International Conference on Information Science and Technology.

[109]  Mohiuddin Ahmad,et al.  Human action recognition using multi-view image sequences , 2006, 7th International Conference on Automatic Face and Gesture Recognition (FGR06).

[110]  Rémi Ronfard,et al.  Automatic Discovery of Action Taxonomies from Multiple Views , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).

[111]  Xiaolong Wang,et al.  Discriminative Deep Belief Networks for image classification , 2010, 2010 IEEE International Conference on Image Processing.

[112]  Arnaldo de Albuquerque Araújo,et al.  Transfer Learning for Human Action Recognition , 2011, 2011 24th SIBGRAPI Conference on Graphics, Patterns and Images.

[113]  Mubarak Shah,et al.  Action MACH a spatio-temporal Maximum Average Correlation Height filter for action recognition , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.

[114]  James L. Crowley,et al.  Probabilistic recognition of activity using local appearance , 1999, Proceedings. 1999 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No PR00149).

[115]  Luc Van Gool,et al.  Temporal Segment Networks: Towards Good Practices for Deep Action Recognition , 2016, ECCV.

[116]  Guangyou Xu,et al.  Action Recognition Unrestricted by Location and Viewpoint Variation , 2008, 2008 IEEE 8th International Conference on Computer and Information Technology Workshops.

[117]  J.K. Aggarwal,et al.  Human activity analysis , 2011, ACM Comput. Surv..

[118]  Honghai Liu,et al.  Intelligent Video Systems and Analytics: A Survey , 2013, IEEE Transactions on Industrial Informatics.

[119]  Claudio S. Pinhanez,et al.  Human action detection using PNF propagation of temporal constraints , 1998, Proceedings. 1998 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No.98CB36231).

[120]  Tae-Kyun Kim,et al.  Learning Motion Categories using both Semantic and Structural Information , 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.

[121]  Lei Wang,et al.  Body Detection and Tracking with Hierarchical Scheme in Dynamic Scenes , 2007, 2007 IEEE International Conference on Multimedia and Expo.

[122]  Wei Huang,et al.  Human action recognition using Recursive Self Organizing map and longest common subsequence matching , 2009, 2009 Workshop on Applications of Computer Vision (WACV).

[123]  Guangfeng Lin,et al.  Human Action Recognition Using Latent-Dynamic Condition Random Fields , 2009, 2009 International Conference on Artificial Intelligence and Computational Intelligence.

[124]  Svetha Venkatesh,et al.  Combining image regions and human activity for indirect object recognition in indoor wide-angle views , 2005, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1.

[125]  Quoc V. Le,et al.  Learning hierarchical invariant spatio-temporal features for action recognition with independent subspace analysis , 2011, CVPR 2011.

[126]  Noel E. O'Connor,et al.  A virtual coaching environment for improving golf swing technique , 2010, SMVC '10.

[127]  Lin Sun,et al.  DL-SFA: Deeply-Learned Slow Feature Analysis for Action Recognition , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.

[128]  Junji Yamato,et al.  Recognizing human action in time-sequential images using hidden Markov model , 1992, Proceedings 1992 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

[129]  Alex Pentland,et al.  A Bayesian Computer Vision System for Modeling Human Interactions , 1999, IEEE Trans. Pattern Anal. Mach. Intell..

[130]  Honghai Liu,et al.  Exploring Human Hand Capabilities Into Embedded Multifingered Object Manipulation , 2011, IEEE Transactions on Industrial Informatics.

[131]  Alex Pentland,et al.  Real-time American Sign Language recognition from video using hidden Markov models , 1995 .

[132]  Plamen P. Angelov,et al.  Creating Evolving User Behavior Profiles Automatically , 2012, IEEE Transactions on Knowledge and Data Engineering.

[133]  Roman Filipovych,et al.  Determining the scale of interest regions in videos , 2009, 2009 16th IEEE International Conference on Image Processing (ICIP).

[134]  Martial Hebert,et al.  Spatio-temporal Shape and Flow Correlation for Action Recognition , 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.

[135]  Rémi Ronfard,et al.  Free viewpoint action recognition using motion history volumes , 2006, Comput. Vis. Image Underst..

[136]  Changyin Sun,et al.  Action recognition using linear dynamic systems , 2013, Pattern Recognit..

[137]  Q. M. Jonathan Wu,et al.  Human action recognition using extreme learning machine based on visual vocabularies , 2010, Neurocomputing.

[138]  Andrew Zisserman,et al.  Two-Stream Convolutional Networks for Action Recognition in Videos , 2014, NIPS.

[139]  Cordelia Schmid,et al.  Learning realistic human actions from movies , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.

[140]  Takanori Shibata,et al.  Therapeutic Seal Robot as Biofeedback Medical Device: Qualitative and Quantitative Evaluations of Robot Therapy in Dementia Care , 2012, Proceedings of the IEEE.

[141]  Hongyu Wang,et al.  Human Abnormal Action Identification Method in Different Scenarios , 2011, 2011 Second International Conference on Digital Manufacturing & Automation.

[142]  Qiang Ji,et al.  Modeling Temporal Interactions with Interval Temporal Bayesian Networks for Complex Activity Recognition , 2013, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[143]  Mircea Nicolescu,et al.  Human Body Parts Tracking Using Torso Tracking: Applications to Activity Recognition , 2012, 2012 Ninth International Conference on Information Technology - New Generations.

[144]  Mubarak Shah,et al.  Human Action Recognition in Videos Using Kinematic Features and Multiple Instance Learning , 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[145]  Andrew Blake,et al.  Mathematical modelling of animate and intentional motion. , 2003, Philosophical transactions of the Royal Society of London. Series B, Biological sciences.

[146]  Honghai Liu,et al.  Advances in View-Invariant Human Motion Analysis: A Review , 2010, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).

[147]  Cordelia Schmid,et al.  Actions in context , 2009, CVPR.

[148]  Guang-Hui Liu,et al.  Human action recognition using PEM histogram , 2010, International Conference on Computational Problem-Solving.

[149]  Stefano Soatto,et al.  Flexible Dictionaries for Action Classification , 2008 .

[150]  Stefano Soatto,et al.  Tracklet Descriptors for Action Modeling and Video Analysis , 2010, ECCV.

[151]  Ling Shao,et al.  Silhouette Analysis-Based Action Recognition Via Exploiting Human Poses , 2013, IEEE Transactions on Circuits and Systems for Video Technology.

[152]  Bernt Schiele,et al.  2D Human Pose Estimation: New Benchmark and State of the Art Analysis , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.

[153]  Serge J. Belongie,et al.  Behavior recognition via sparse spatio-temporal features , 2005, 2005 IEEE International Workshop on Visual Surveillance and Performance Evaluation of Tracking and Surveillance.

[154]  Md. Atiqur Rahman Ahad,et al.  Action dataset — A survey , 2011, SICE Annual Conference 2011.

[155]  Yang Wang,et al.  Hidden Part Models for Human Action Recognition: Probabilistic versus Max Margin , 2011, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[156]  Hossein Ragheb,et al.  MuHAVi: A Multicamera Human Action Video Dataset for the Evaluation of Action Recognition Methods , 2010, 2010 7th IEEE International Conference on Advanced Video and Signal Based Surveillance.

[157]  Octavia I. Camps,et al.  Activity Recognition from Silhouettes using Linear Systems and Model (In)validation Techniques , 2006, 18th International Conference on Pattern Recognition (ICPR'06).

[158]  Aaron F. Bobick,et al.  A State-Based Approach to the Representation and Recognition of Gesture , 1997, IEEE Trans. Pattern Anal. Mach. Intell..

[159]  乔宇.  Motionlets: Mid-Level 3D Parts for Human Motion Recognition , 2013 .

[160]  M. Alex O. Vasilescu,et al.  Recognizing action events from multiple viewpoints , 2001, Proceedings IEEE Workshop on Detection and Recognition of Events in Video.

[161]  Jian Dong,et al.  Deep Human Parsing with Active Template Regression , 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[162]  Krystian Mikolajczyk,et al.  Action recognition with motion-appearance vocabulary forest , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.

[163]  Gang Sun,et al.  A Key Volume Mining Deep Framework for Action Recognition , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[164]  Etienne Corvée,et al.  Body Parts Detection for People Tracking Using Trees of Histogram of Oriented Gradient Descriptors , 2010, 2010 7th IEEE International Conference on Advanced Video and Signal Based Surveillance.

[165]  Iqbal Gondal,et al.  Action Recognition Using Spatio-Temporal Distance Classifier Correlation Filter , 2011, 2011 International Conference on Digital Image Computing: Techniques and Applications.

[166]  Zhidong Deng,et al.  A robust pedestrian detection approach based on shapelet feature and Haar detector ensembles , 2012 .

[167]  Yanbing Xue,et al.  Human action recognition based on sparse representation induced by L1/L2 regulations , 2012, Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012).

[168]  Jean-Michel Jolion,et al.  Pairwise Features for Human Action Recognition , 2010, 2010 20th International Conference on Pattern Recognition.

[169]  Lihi Zelnik-Manor,et al.  Event-based analysis of video , 2001, Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001.

[170]  Yibo Li,et al.  Action recognition based on spatio-temporal interest points , 2012, 2012 5th International Conference on BioMedical Engineering and Informatics.

[171]  Wen Gao,et al.  Learning discriminative features for fast frame-based action recognition , 2013, Pattern Recognit..

[172]  Subhransu Maji,et al.  Detecting People Using Mutually Consistent Poselet Activations , 2010, ECCV.

[173]  Zdenek Kalal,et al.  Tracking-Learning-Detection , 2012, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[174]  Radu Horaud,et al.  will be inserted by the editor ) Continuous Action Recognition Based on Sequence Alignment , 2017 .

[175]  Liyuan Li,et al.  Human Action Recognition by Negative Space Analysis , 2010, 2010 International Conference on Cyberworlds.

[176]  Hao Jiang,et al.  Human movement summarization and depiction from videos , 2013, 2013 IEEE International Conference on Multimedia and Expo (ICME).

[177]  Hassan Foroosh,et al.  View-invariant action recognition using fundamental ratios , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.

[178]  Peyman Milanfar,et al.  Action Recognition from One Example , 2011, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[179]  Luc Van Gool,et al.  Coupled Action Recognition and Pose Estimation from Multiple Views , 2012, International Journal of Computer Vision.

[180]  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.

[181]  Jitendra Malik,et al.  Poselets: Body part detectors trained using 3D human pose annotations , 2009, 2009 IEEE 12th International Conference on Computer Vision.

[182]  Ivan Laptev,et al.  On Space-Time Interest Points , 2003, Proceedings Ninth IEEE International Conference on Computer Vision.

[183]  Fei-Fei Li,et al.  ImageNet: A large-scale hierarchical image database , 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.

[184]  Shao-zi Li,et al.  Transfer AdaBoost learning for action recognition , 2009, 2009 IEEE International Symposium on IT in Medicine & Education.

[185]  Ioannis A. Kakadiaris,et al.  Matching mixtures of curves for human action recognition , 2014, Comput. Vis. Image Underst..

[186]  Tim J. Ellis,et al.  ViHASi: Virtual human action silhouette data for the performance evaluation of silhouette-based action recognition methods , 2008, 2008 Second ACM/IEEE International Conference on Distributed Smart Cameras.

[187]  Svetha Venkatesh,et al.  Human action segmentation via controlled use of missing data in HMMs , 2004, Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004..

[188]  Ying Wang,et al.  Human Activity Recognition Based on R Transform , 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.

[189]  Ashok Veeraraghavan,et al.  The Function Space of an Activity , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).

[190]  Andrew Gilbert,et al.  Scale Invariant Action Recognition Using Compound Features Mined from Dense Spatio-temporal Corners , 2008, ECCV.

[191]  Byoung-Tak Zhang,et al.  Enhancing human action recognition through spatio-temporal feature learning and semantic rules , 2013, 2013 13th IEEE-RAS International Conference on Humanoid Robots (Humanoids).

[192]  Svetha Venkatesh,et al.  Learning and detecting activities from movement trajectories using the hierarchical hidden Markov model , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).

[193]  K. Subramanian,et al.  Human Action Recognition using MetaCognitive Neuro-Fuzzy Inference System , 2012 .

[194]  Li Wang,et al.  Human Action Recognition from Boosted Pose Estimation , 2010, 2010 International Conference on Digital Image Computing: Techniques and Applications.

[195]  Lynne E. Parker,et al.  4-dimensional local spatio-temporal features for human activity recognition , 2011, 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[196]  Eli Shechtman,et al.  Space-time behavior based correlation , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).

[197]  Andrew Gilbert,et al.  Action Recognition Using Mined Hierarchical Compound Features , 2011, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[198]  H. Hashimoto,et al.  Human action recognition using wavelet signal analysis as an input in 4W1H , 2010, 2010 8th IEEE International Conference on Industrial Informatics.

[199]  Thomas L. Dean,et al.  Sparse Spatiotemporal Coding for Activity Recognition , 2010 .

[200]  Mubarak Shah,et al.  Recognizing human actions in videos acquired by uncalibrated moving cameras , 2005, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1.

[201]  Mubarak Shah,et al.  View-invariance in action recognition , 2001, Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001.

[202]  Wai Kit Wong,et al.  Wavelet mach filter for omnidirectional human activity recognition , 2012 .

[203]  Yale Song,et al.  Action Recognition by Hierarchical Sequence Summarization , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.

[204]  Leonid Sigal,et al.  Poselet Key-Framing: A Model for Human Activity Recognition , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.

[205]  Tanaya Guha,et al.  Learning Sparse Representations for Human Action Recognition , 2012, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[206]  Michael J. Black,et al.  From Pictorial Structures to deformable structures , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.

[207]  Samuel Kaski,et al.  Learning from Relevant Tasks Only , 2007, ECML.

[208]  Mubarak Shah,et al.  Incremental action recognition using feature-tree , 2009, 2009 IEEE 12th International Conference on Computer Vision.

[209]  M. Tech,et al.  Improved Discriminative Model for View- Invariant Human Action Recognition , 2013 .

[210]  Bernt Schiele,et al.  Pictorial structures revisited: People detection and articulated pose estimation , 2009, CVPR.

[211]  Suman K. Mitra,et al.  Human Action Recognition Using DFT , 2011, 2011 Third National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics.

[212]  Binlong Li,et al.  Activity recognition using dynamic subspace angles , 2011, CVPR 2011.

[213]  Brian C. Lovell,et al.  Kernel analysis on Grassmann manifolds for action recognition , 2013, Pattern Recognit. Lett..

[214]  Mubarak Shah,et al.  Detecting group activities using rigidity of formation , 2005, MULTIMEDIA '05.

[215]  Jake K. Aggarwal,et al.  Spatio-temporal relationship match: Video structure comparison for recognition of complex human activities , 2009, 2009 IEEE 12th International Conference on Computer Vision.

[216]  Leonidas J. Guibas,et al.  Human action recognition by learning bases of action attributes and parts , 2011, 2011 International Conference on Computer Vision.

[217]  Thomas Brox,et al.  High Accuracy Optical Flow Estimation Based on a Theory for Warping , 2004, ECCV.

[218]  Jitendra Malik,et al.  Recognizing action at a distance , 2003, Proceedings Ninth IEEE International Conference on Computer Vision.

[219]  Ioannis Pitas,et al.  The i3DPost Multi-View and 3D Human Action/Interaction Database , 2009, 2009 Conference for Visual Media Production.

[220]  Daniel P. Huttenlocher,et al.  Pictorial Structures for Object Recognition , 2004, International Journal of Computer Vision.

[221]  Richard P. Wildes,et al.  Action Spotting and Recognition Based on a Spatiotemporal Orientation Analysis , 2013, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[222]  Dong Xu,et al.  Action Recognition Using Multilevel Features and Latent Structural SVM , 2013, IEEE Transactions on Circuits and Systems for Video Technology.

[223]  Honghai Liu,et al.  Fuzzy Gaussian Mixture Models , 2012, Pattern Recognit..

[224]  Yaser Sheikh,et al.  Exploring the space of a human action , 2005, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1.

[225]  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.

[226]  Mubarak Shah,et al.  Discovering Motion Primitives for Unsupervised Grouping and One-Shot Learning of Human Actions, Gestures, and Expressions , 2013, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[227]  Christian Bauckhage,et al.  Action recognition by learning discriminative key poses , 2011, 2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops).

[228]  Subhransu Maji,et al.  Action recognition from a distributed representation of pose and appearance , 2011, CVPR 2011.

[229]  Ting Chen,et al.  Research on human activity recognition based on active learning , 2010, 2010 International Conference on Machine Learning and Cybernetics.

[230]  Wang Chuanx.  On Temporal Order Invariance for View-invariant Action Recognition , 2015 .

[231]  Ze-Nian Li,et al.  Successive Convex Matching for Action Detection , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).