Video-Based Human Behavior Understanding: A Survey
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Andrea Cavallaro | Nicola Conci | Paulo Vinicius Koerich Borges | A. Cavallaro | P. Borges | N. Conci
[1] Sébastien Marcel,et al. Hand gesture recognition using input-output hidden Markov models , 2000, Proceedings Fourth IEEE International Conference on Automatic Face and Gesture Recognition (Cat. No. PR00580).
[2] Christopher Joseph Pal,et al. Activity recognition using the velocity histories of tracked keypoints , 2009, 2009 IEEE 12th International Conference on Computer Vision.
[3] David A. McAllester,et al. Object Detection with Discriminatively Trained Part Based Models , 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[4] Mubarak Shah,et al. Action recognition in videos acquired by a moving camera using motion decomposition of Lagrangian particle trajectories , 2011, 2011 International Conference on Computer Vision.
[5] Jintao Li,et al. Hierarchical spatio-temporal context modeling for action recognition , 2009, CVPR.
[6] Hassan Foroosh,et al. Action recognition using rank-1 approximation of Joint Self-Similarity Volume , 2011, 2011 International Conference on Computer Vision.
[7] M. de Rijke,et al. UvA-DARE ( Digital Academic Repository ) The MediaMill TRECVID 2008 semantic video search engine , 2008 .
[8] Ho Gi Jung,et al. A New Approach to Urban Pedestrian Detection for Automatic Braking , 2009, IEEE Transactions on Intelligent Transportation Systems.
[9] Bernt Schiele,et al. Learning people detection models from few training samples , 2011, CVPR 2011.
[10] Luc Van Gool,et al. You'll never walk alone: Modeling social behavior for multi-target tracking , 2009, 2009 IEEE 12th International Conference on Computer Vision.
[11] Martial Hebert,et al. Activity Forecasting , 2012, ECCV.
[12] Cordelia Schmid,et al. Learning realistic human actions from movies , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.
[13] Ramakant Nevatia,et al. Cluster Boosted Tree Classifier for Multi-View, Multi-Pose Object Detection , 2007, 2007 IEEE 11th International Conference on Computer Vision.
[14] 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).
[15] Pietro Perona,et al. Pedestrian Detection: An Evaluation of the State of the Art , 2012, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[16] Cordelia Schmid,et al. Actions in context , 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.
[17] Jun Wang,et al. A 3D facial expression database for facial behavior research , 2006, 7th International Conference on Automatic Face and Gesture Recognition (FGR06).
[18] Roland Mörzinger,et al. Using Gait Features for Improving Walking People Detection , 2010, 2010 20th International Conference on Pattern Recognition.
[19] Luc Van Gool,et al. Depth and Appearance for Mobile Scene Analysis , 2007, 2007 IEEE 11th International Conference on Computer Vision.
[20] Jitendra Malik,et al. Recognizing action at a distance , 2003, Proceedings Ninth IEEE International Conference on Computer Vision.
[21] Michael S. Ryoo,et al. Human activity prediction: Early recognition of ongoing activities from streaming videos , 2011, 2011 International Conference on Computer Vision.
[22] Qingshan Liu,et al. Abnormal detection using interaction energy potentials , 2011, CVPR 2011.
[23] Jake K. Aggarwal,et al. Human detection using depth information by Kinect , 2011, CVPR 2011 WORKSHOPS.
[24] Cordelia Schmid,et al. Dense Trajectories and Motion Boundary Descriptors for Action Recognition , 2013, International Journal of Computer Vision.
[25] Bernt Schiele,et al. Pedestrian detection in crowded scenes , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).
[26] Jake K. Aggarwal,et al. Modeling human activities as speech , 2011, CVPR 2011.
[27] H. Kelley,et al. The social psychology of groups , 1960 .
[28] Ram Nevatia,et al. Detection and Segmentation of Multiple, Partially Occluded Objects by Grouping, Merging, Assigning Part Detection Responses , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.
[29] Elisa Ricci,et al. Space speaks: towards socially and personality aware visual surveillance , 2010, MPVA '10.
[30] Rama Chellappa,et al. Machine Recognition of Human Activities: A Survey , 2008, IEEE Transactions on Circuits and Systems for Video Technology.
[31] Jeffrey E. Boyd,et al. Synchronization of oscillations for machine perception of gaits , 2004, Comput. Vis. Image Underst..
[32] J. Little,et al. Recognizing People by Their Gait: The Shape of Motion , 1998 .
[33] Jinxiang Chai,et al. Modeling 3D human poses from uncalibrated monocular images , 2009, 2009 IEEE 12th International Conference on Computer Vision.
[34] Yupin Luo,et al. Real-Time Pedestrian Detection and Tracking at Nighttime for Driver-Assistance Systems , 2009, IEEE Transactions on Intelligent Transportation Systems.
[35] Matti Pietikäinen,et al. Human Activity Recognition Using Sequences of Postures , 2005, MVA.
[36] Dariu Gavrila,et al. Multi-cue Pedestrian Detection and Tracking from a Moving Vehicle , 2007, International Journal of Computer Vision.
[37] 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.
[38] Zicheng Liu,et al. Expandable Data-Driven Graphical Modeling of Human Actions Based on Salient Postures , 2008, IEEE Transactions on Circuits and Systems for Video Technology.
[39] Bart Selman,et al. Human Activity Detection from RGBD Images , 2011, Plan, Activity, and Intent Recognition.
[40] Serge J. Belongie,et al. Simultaneous Learning and Alignment: Multi-Instance and Multi-Pose Learning ? , 2008 .
[41] Wen Gao,et al. Contour-motion feature (CMF): A space-time approach for robust pedestrian detection , 2009, Pattern Recognit. Lett..
[42] Mubarak Shah,et al. Cyclic motion detection for motion based recognition , 1994, Pattern Recognit..
[43] 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.
[44] Andrea Cavallaro,et al. Interaction recognition in wide areas using audiovisual sensors , 2012, 2012 19th IEEE International Conference on Image Processing.
[45] Paulo Vinicius,et al. Blob Motion Statistics for Pedestrian Detection , 2011, 2011 International Conference on Digital Image Computing: Techniques and Applications.
[46] Bertrand Vachon,et al. Statistical Background Modeling for Foreground Detection: A Survey , 2010 .
[47] Honghai Liu,et al. Viewpoint Insensitive Actions Recognition Using Hidden Conditional Random Fields , 2010, KES.
[48] Michael I. Jordan,et al. Latent Dirichlet Allocation , 2001, J. Mach. Learn. Res..
[49] Jodie A. Baird,et al. Making sense of human behavior: Action parsing and intentional inference , 2001 .
[50] Simone Calderara,et al. Detecting anomalies in people's trajectories using spectral graph analysis , 2011, Comput. Vis. Image Underst..
[51] Dong Han,et al. Selection and context for action recognition , 2009, 2009 IEEE 12th International Conference on Computer Vision.
[52] Bernt Schiele,et al. Pictorial structures revisited: People detection and articulated pose estimation , 2009, CVPR.
[53] Robert T. Collins,et al. Vision-Based Analysis of Small Groups in Pedestrian Crowds , 2012, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[54] Xin Li,et al. Pedestrian detection and tracking in infrared imagery using shape and appearance , 2007, Comput. Vis. Image Underst..
[55] Jian Zhang,et al. Fast Pedestrian Detection Using a Cascade of Boosted Covariance Features , 2008, IEEE Transactions on Circuits and Systems for Video Technology.
[56] Baihua Li,et al. Recognition of human periodic movements from unstructured information using a motion-based frequency domain approach , 2006, Image Vis. Comput..
[57] Mubarak Shah,et al. Recognizing 50 human action categories of web videos , 2012, Machine Vision and Applications.
[58] Ramin Mehran,et al. Abnormal crowd behavior detection using social force model , 2009, CVPR.
[59] Xiangjian He,et al. Motion Based Pedestrian Recognition , 2008, 2008 Congress on Image and Signal Processing.
[60] Rita Cucchiara,et al. 3DPeS: 3D people dataset for surveillance and forensics , 2011, J-HGBU '11.
[61] Silvio Savarese,et al. A Unified Framework for Multi-target Tracking and Collective Activity Recognition , 2012, ECCV.
[62] Cordelia Schmid,et al. Action recognition by dense trajectories , 2011, CVPR 2011.
[63] Gregory D. Abowd,et al. The Aware Home: A Living Laboratory for Ubiquitous Computing Research , 1999, CoBuild.
[64] Hao Su,et al. Object Bank: A High-Level Image Representation for Scene Classification & Semantic Feature Sparsification , 2010, NIPS.
[65] Li Li,et al. Semantic event representation and recognition using syntactic attribute graph grammar , 2009, Pattern Recognit. Lett..
[66] 艾而帝,et al. Microsoft Kinect 虛擬復健系統設計 , 2013 .
[67] Bingbing Ni,et al. Recognizing human group activities with localized causalities , 2009, CVPR 2009.
[68] Shaogang Gong,et al. Recognising action as clouds of space-time interest points , 2009, CVPR.
[69] 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.
[70] Massimo Piccardi,et al. HMM-MIO: An enhanced hidden Markov model for action recognition , 2011, CVPR 2011 WORKSHOPS.
[71] Christopher G. Harris,et al. A Combined Corner and Edge Detector , 1988, Alvey Vision Conference.
[72] Andrew W. Fitzgibbon,et al. Real-time human pose recognition in parts from single depth images , 2011, CVPR 2011.
[73] 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.
[74] Michael I. Jordan,et al. Graphical Models, Exponential Families, and Variational Inference , 2008, Found. Trends Mach. Learn..
[75] Adrian Hilton,et al. A survey of advances in vision-based human motion capture and analysis , 2006, Comput. Vis. Image Underst..
[76] Jean-Marc Odobez,et al. Multiperson Visual Focus of Attention from Head Pose and Meeting Contextual Cues , 2011, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[77] Bart Selman,et al. Unstructured human activity detection from RGBD images , 2011, 2012 IEEE International Conference on Robotics and Automation.
[78] Leonid Sigal,et al. Poselet Key-Framing: A Model for Human Activity Recognition , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.
[79] A. Maslow. Motivation and Personality , 1954 .
[80] Nizar Bouguila,et al. A nonparametric Bayesian approach for enhanced pedestrian detection and foreground segmentation , 2011, CVPR 2011 WORKSHOPS.
[81] 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.
[82] Andrea Cavallaro,et al. Recognizing Interactions in Video , 2010, Intelligent Multimedia Analysis for Security Applications.
[83] Paul A. Viola,et al. Rapid object detection using a boosted cascade of simple features , 2001, Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001.
[84] W. Eric L. Grimson,et al. Unsupervised Activity Perception by Hierarchical Bayesian Models , 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.
[85] Silvio Savarese,et al. Learning context for collective activity recognition , 2011, CVPR 2011.
[86] Yoav Freund,et al. A decision-theoretic generalization of on-line learning and an application to boosting , 1995, EuroCOLT.
[87] Jason J. Corso,et al. Action bank: A high-level representation of activity in video , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.
[88] Larry S. Davis,et al. A Pose-Invariant Descriptor for Human Detection and Segmentation , 2008, ECCV.
[89] Deva Ramanan,et al. Efficiently Scaling Up Video Annotation with Crowdsourced Marketplaces , 2010, ECCV.
[90] Helbing,et al. Social force model for pedestrian dynamics. , 1995, Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics.
[91] Barry G. Quinn,et al. The Estimation and Tracking of Frequency , 2001 .
[92] Daniel Snow,et al. Pedestrian detection using boosted features over many frames , 2008, 2008 19th International Conference on Pattern Recognition.
[93] David Gerónimo Gómez,et al. Survey of Pedestrian Detection for Advanced Driver Assistance Systems , 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[94] Dacheng Tao,et al. Slow Feature Analysis for Human Action Recognition , 2012, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[95] E. Hall,et al. The Hidden Dimension , 1970 .
[96] Francesco G. B. De Natale,et al. Learning and matching human activities using regular expressions , 2010, 2010 IEEE International Conference on Image Processing.
[97] Paulo Vinicius Koerich Borges,et al. Pedestrian Detection Based on Blob Motion Statistics , 2013, IEEE Transactions on Circuits and Systems for Video Technology.
[98] James M. Rehg,et al. Learning to recognize objects in egocentric activities , 2011, CVPR 2011.
[99] Larry S. Davis,et al. Pedestrian Detection via Periodic Motion Analysis , 2007, International Journal of Computer Vision.
[100] Iasonas Kokkinos,et al. Discovering discriminative action parts from mid-level video representations , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.
[101] Jiebo Luo,et al. Recognizing realistic actions from videos “in the wild” , 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.
[102] Guillermo Sapiro,et al. Sparse Modeling of Human Actions from Motion Imagery , 2012, International Journal of Computer Vision.
[103] James W. Davis,et al. The Recognition of Human Movement Using Temporal Templates , 2001, IEEE Trans. Pattern Anal. Mach. Intell..
[104] Henry Kautz,et al. Human activity recognition in video: extending statistical features across time, space and semantic context , 2011 .
[105] Ronald Poppe,et al. A survey on vision-based human action recognition , 2010, Image Vis. Comput..
[106] P. Molnár. Social Force Model for Pedestrian Dynamics Typeset Using Revt E X 1 , 1995 .
[107] Liang Wang,et al. Recognizing Human Activities from Silhouettes: Motion Subspace and Factorial Discriminative Graphical Model , 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.
[108] Ivan Laptev,et al. On Space-Time Interest Points , 2005, International Journal of Computer Vision.
[109] Meng Wang,et al. Automatic adaptation of a generic pedestrian detector to a specific traffic scene , 2011, CVPR 2011.
[110] Ming-Kuei Hu,et al. Visual pattern recognition by moment invariants , 1962, IRE Trans. Inf. Theory.
[111] Juan Carlos Niebles,et al. Unsupervised Learning of Human Action Categories , 2006 .
[112] Paul A. Viola,et al. Detecting Pedestrians Using Patterns of Motion and Appearance , 2003, Proceedings Ninth IEEE International Conference on Computer Vision.
[113] Mubarak Shah,et al. Learning human actions via information maximization , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.
[114] Jintao Li,et al. Hierarchical spatio-temporal context modeling for action recognition , 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.
[115] Yang Wang,et al. Hidden Part Models for Human Action Recognition: Probabilistic versus Max Margin , 2011, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[116] Dimitris G. Manolakis,et al. Statistical and Adaptive Signal Processing , 2000 .
[117] 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.
[118] Fernando De la Torre,et al. Joint segmentation and classification of human actions in video , 2011, CVPR 2011.
[119] Kaiqi Huang,et al. An Extended Grammar System for Learning and Recognizing Complex Visual Events , 2011, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[120] Bernt Schiele,et al. New features and insights for pedestrian detection , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[121] Paulo Peixoto,et al. Semantic fusion of laser and vision in pedestrian detection , 2010, Pattern Recognit..
[122] Luc Van Gool,et al. Exploiting simple hierarchies for unsupervised human behavior analysis , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[123] Ramakant Nevatia,et al. Detection of multiple, partially occluded humans in a single image by Bayesian combination of edgelet part detectors , 2005, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1.
[124] 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.
[125] J.K. Aggarwal,et al. Human activity analysis , 2011, ACM Comput. Surv..
[126] Willem Doise,et al. Social interaction in individual development , 2010 .
[127] Bingbing Ni,et al. RGBD-HuDaAct: A color-depth video database for human daily activity recognition , 2011, ICCV Workshops.
[128] Vittorio Murino,et al. Towards Computational Proxemics: Inferring Social Relations from Interpersonal Distances , 2011, 2011 IEEE Third Int'l Conference on Privacy, Security, Risk and Trust and 2011 IEEE Third Int'l Conference on Social Computing.
[129] A. Howard,et al. Detecting Pedestrians with Stereo Vision: Safe Operation of Autonomous Ground Vehicles in Dynamic Environments , 2007 .
[130] Sridha Sridharan,et al. Efficient Articulated Trajectory Reconstruction Using Dynamic Programming and Filters , 2012, ECCV.
[131] Larry S. Davis,et al. Understanding videos, constructing plots learning a visually grounded storyline model from annotated videos , 2009, CVPR.
[132] Ronen Basri,et al. Actions as space-time shapes , 2005, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1.
[133] James Hays,et al. Quality Assessment for Crowdsourced Object Annotations , 2011, BMVC.
[134] Luc Van Gool,et al. Improving Data Association by Joint Modeling of Pedestrian Trajectories and Groupings , 2010, ECCV.
[135] E. Hall. The Silent Language , 1959 .
[136] Nicu Sebe,et al. Real Time Detection of Social Interactions in Surveillance Video , 2012, ECCV Workshops.
[137] Shaogang Gong,et al. Video Behavior Profiling for Anomaly Detection , 2008, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[138] Dieter Fox,et al. Fine-grained kitchen activity recognition using RGB-D , 2012, UbiComp.
[139] Alex Pentland,et al. Human computing and machine understanding of human behavior: a survey , 2006, ICMI '06.
[140] Luc Van Gool,et al. Coupled Action Recognition and Pose Estimation from Multiple Views , 2012, International Journal of Computer Vision.
[141] Jitendra Malik,et al. Poselets: Body part detectors trained using 3D human pose annotations , 2009, 2009 IEEE 12th International Conference on Computer Vision.
[142] Hai Jin,et al. Integrating Spatio-Temporal Context With Multiview Representation for Object Recognition in Visual Surveillance , 2011, IEEE Transactions on Circuits and Systems for Video Technology.
[143] S. Johnsen,et al. Real-Time Object Tracking and Classification Using a Static Camera , 2009 .
[144] Dariu Gavrila,et al. Monocular Pedestrian Detection: Survey and Experiments , 2009, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[145] Hironobu Fujiyoshi,et al. Real-time human motion analysis by image skeletonization , 1998, Proceedings Fourth IEEE Workshop on Applications of Computer Vision. WACV'98 (Cat. No.98EX201).
[146] Rémi Ronfard,et al. Free viewpoint action recognition using motion history volumes , 2006, Comput. Vis. Image Underst..
[147] Björn Stenger,et al. Correlated probabilistic trajectories for pedestrian motion detection , 2009, 2009 IEEE 12th International Conference on Computer Vision.
[148] Sheng-Wen Shih,et al. Human Action Recognition Using 2-D Spatio-Temporal Templates , 2007, 2007 IEEE International Conference on Multimedia and Expo.
[149] Thomas B. Moeslund,et al. A selective spatio-temporal interest point detector for human action recognition in complex scenes , 2011, 2011 International Conference on Computer Vision.
[150] Mohan M. Trivedi,et al. A Survey of Vision-Based Trajectory Learning and Analysis for Surveillance , 2008, IEEE Transactions on Circuits and Systems for Video Technology.
[151] Xinbo Gao,et al. Tactic analysis based on real-world ball trajectory in soccer video , 2012, Pattern Recognit..
[152] Mohamed R. Amer,et al. Cost-Sensitive Top-Down/Bottom-Up Inference for Multiscale Activity Recognition , 2012, ECCV.
[153] Hema Swetha Koppula,et al. Learning human activities and object affordances from RGB-D videos , 2012, Int. J. Robotics Res..
[154] Ivan Laptev,et al. Improving bag-of-features action recognition with non-local cues , 2010, BMVC.
[155] Martial Hebert,et al. Event Detection in Crowded Videos , 2007, 2007 IEEE 11th International Conference on Computer Vision.
[156] Navneet Dalal,et al. Finding People in Images and Videos , 2006 .
[157] Ignacio Parra,et al. Combination of Feature Extraction Methods for SVM Pedestrian Detection , 2007, IEEE Transactions on Intelligent Transportation Systems.
[158] James W. Davis,et al. Minimal-latency human action recognition using reliable-inference , 2006, Image Vis. Comput..
[159] Ashley Tews,et al. Real-Time Object Tracking and Classification Using a Static Came ra , 2009 .
[160] Ian D. Reid,et al. High Five: Recognising human interactions in TV shows , 2010, BMVC.
[161] Tae-Kyun Kim,et al. Tensor Canonical Correlation Analysis for Action Classification , 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.
[162] Kai Oliver Arras,et al. People detection in RGB-D data , 2011, 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems.
[163] Barbara Caputo,et al. Recognizing human actions: a local SVM approach , 2004, Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004..
[164] W. Eric L. Grimson,et al. Trajectory analysis and semantic region modeling using a nonparametric Bayesian model , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.
[165] Simon Richir,et al. WiiMedia: motion analysis methods and applications using a consumer video game controller , 2007, Sandbox '07.
[166] Mohammed Waleed Kadous,et al. Temporal classification: extending the classification paradigm to multivariate time series , 2002 .
[167] Marshall F. Tappen,et al. Learning pedestrian dynamics from the real world , 2009, 2009 IEEE 12th International Conference on Computer Vision.
[168] W. Eric L. Grimson,et al. Unsupervised Activity Perception in Crowded and Complicated Scenes Using Hierarchical Bayesian Models , 2008, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[169] Thomas Serre,et al. A Biologically Inspired System for Action Recognition , 2007, 2007 IEEE 11th International Conference on Computer Vision.
[170] Ying Wu,et al. Vision-Based Gesture Recognition: A Review , 1999, Gesture Workshop.
[171] Silvio Savarese,et al. What are they doing? : Collective activity classification using spatio-temporal relationship among people , 2009, 2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV Workshops.
[172] Christophe Garcia,et al. Human activities dataset and the ICPR 2012 human activities recognition and localization competition , 2012 .