Structured Learning of Human Interactions in TV Shows
暂无分享,去创建一个
[1] Charless C. Fowlkes,et al. Discriminative Models for Multi-Class Object Layout , 2009, 2009 IEEE 12th International Conference on Computer Vision.
[2] Jake K. Aggarwal,et al. Simultaneous tracking of multiple body parts of interacting persons , 2006, Comput. Vis. Image Underst..
[3] Christoph H. Lampert,et al. Object Localization with Global and Local Context Kernels , 2009, BMVC.
[4] Luc Van Gool,et al. The Pascal Visual Object Classes (VOC) Challenge , 2010, International Journal of Computer Vision.
[5] Yang Wang,et al. Beyond Actions: Discriminative Models for Contextual Group Activities , 2010, NIPS.
[6] Christoph H. Lampert,et al. Learning to Localize Objects with Structured Output Regression , 2008, ECCV.
[7] Cordelia Schmid,et al. Human Focused Action Localization in Video , 2010, ECCV Workshops.
[8] J.K. Aggarwal,et al. Human activity analysis , 2011, ACM Comput. Surv..
[9] Jake K. Aggarwal,et al. A hierarchical Bayesian network for event recognition of human actions and interactions , 2004, Multimedia Systems.
[10] Alex Pentland,et al. Graphical Models for Recognizing Human Interactions , 1998, NIPS.
[11] Andrew Zisserman,et al. Pose search: Retrieving people using their pose , 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.
[12] Jake K. Aggarwal,et al. An Overview of Contest on Semantic Description of Human Activities (SDHA) 2010 , 2010, ICPR Contests.
[13] Ben Taskar,et al. Max-Margin Markov Networks , 2003, NIPS.
[14] Ian D. Reid,et al. High Five: Recognising human interactions in TV shows , 2010, BMVC.
[15] Patrick Pérez,et al. Retrieving actions in movies , 2007, 2007 IEEE 11th International Conference on Computer Vision.
[16] Ian D. Reid,et al. Guiding Visual Surveillance by Tracking Human Attention , 2009, BMVC.
[17] Ian D. Reid,et al. Stable multi-target tracking in real-time surveillance video , 2011, CVPR 2011.
[18] Yang Wang,et al. A Discriminative Latent Model of Object Classes and Attributes , 2010, ECCV.
[19] Yongdong Zhang,et al. Localizing volumetric motion for action recognition in realistic videos , 2009, MM '09.
[20] Jiebo Luo,et al. Recognizing realistic actions from videos “in the wild” , 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.
[21] Jake K. Aggarwal,et al. Recognition of Composite Human Activities through Context-Free Grammar Based Representation , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).
[22] 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).
[23] Cordelia Schmid,et al. Actions in context , 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.
[24] Andrew Zisserman,et al. Progressive search space reduction for human pose estimation , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.
[25] Luc Van Gool,et al. Variations of a Hough-Voting Action Recognition System , 2010, ICPR Contests.
[26] David A. McAllester,et al. Object Detection with Discriminatively Trained Part Based Models , 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[27] Junsong Yuan,et al. Middle-Level Representation for Human Activities Recognition: The Role of Spatio-Temporal Relationships , 2010, ECCV Workshops.
[28] 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.
[29] Takeo Kanade,et al. An Iterative Image Registration Technique with an Application to Stereo Vision , 1981, IJCAI.
[30] Andrew Zisserman,et al. Taking the bite out of automated naming of characters in TV video , 2009, Image Vis. Comput..
[31] Ian D. Reid,et al. Colour Invariant Head Pose Classification in Low Resolution Video , 2008, BMVC.
[32] Thomas Hofmann,et al. Large Margin Methods for Structured and Interdependent Output Variables , 2005, J. Mach. Learn. Res..
[33] Thorsten Joachims,et al. Cutting-plane training of structural SVMs , 2009, Machine Learning.
[34] 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.
[35] Václav Hlavác,et al. Multi-class support vector machine , 2002, Object recognition supported by user interaction for service robots.
[36] Juan Carlos Niebles,et al. Modeling Temporal Structure of Decomposable Motion Segments for Activity Classification , 2010, ECCV.
[37] 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.
[38] Andrew Gilbert,et al. Fast realistic multi-action recognition using mined dense spatio-temporal features , 2009, 2009 IEEE 12th International Conference on Computer Vision.