Activity representation with motion hierarchies
暂无分享,去创建一个
[1] Ramakant Nevatia,et al. Large-scale event detection using semi-hidden Markov models , 2003, Proceedings Ninth IEEE International Conference on Computer Vision.
[2] Juan Carlos Niebles,et al. Modeling Temporal Structure of Decomposable Motion Segments for Activity Classification , 2010, ECCV.
[3] Gunnar Farnebäck,et al. Two-Frame Motion Estimation Based on Polynomial Expansion , 2003, SCIA.
[4] Luc Van Gool,et al. Object and Action Classification with Latent Variables , 2011, BMVC.
[5] Bernhard Schölkopf,et al. Nonlinear Component Analysis as a Kernel Eigenvalue Problem , 1998, Neural Computation.
[6] Juan Carlos Niebles,et al. A Hierarchical Model of Shape and Appearance for Human Action Classification , 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.
[7] Cordelia Schmid,et al. Explicit Modeling of Human-Object Interactions in Realistic Videos , 2013, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[8] Alexander J. Smola,et al. Learning with kernels , 1998 .
[9] Iasonas Kokkinos,et al. Discovering discriminative action parts from mid-level video representations , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.
[10] Philip H. S. Torr,et al. Learning discriminative space-time actions from weakly labelled videos , 2012, BMVC.
[11] Matthias W. Seeger,et al. Using the Nyström Method to Speed Up Kernel Machines , 2000, NIPS.
[12] Andrew Gilbert,et al. Action Recognition Using Mined Hierarchical Compound Features , 2011, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[13] Patrick Pérez,et al. Clustering Point Trajectories with Various Life-Spans , 2009, 2009 Conference for Visual Media Production.
[14] Mubarak Shah,et al. Incremental action recognition using feature-tree , 2009, 2009 IEEE 12th International Conference on Computer Vision.
[15] Charless C. Fowlkes,et al. Contour Detection and Hierarchical Image Segmentation , 2011, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[16] G LoweDavid,et al. Distinctive Image Features from Scale-Invariant Keypoints , 2004 .
[17] Nazli Ikizler-Cinbis,et al. Object, Scene and Actions , 2010 .
[18] Martial Hebert,et al. Representing Pairwise Spatial and Temporal Relations for Action Recognition , 2010, ECCV.
[19] Chong-Wah Ngo,et al. Trajectory-Based Modeling of Human Actions with Motion Reference Points , 2012, ECCV.
[20] Krystian Mikolajczyk,et al. Action recognition with motion-appearance vocabulary forest , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.
[21] Richard Szeliski,et al. Computer Vision - Algorithms and Applications , 2011, Texts in Computer Science.
[22] Jitendra Malik,et al. Normalized cuts and image segmentation , 1997, Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[23] Franziska Meier,et al. 3D Shape Context and Distance Transform for action recognition , 2008, 2008 19th International Conference on Pattern Recognition.
[24] Cordelia Schmid,et al. Dense Trajectories and Motion Boundary Descriptors for Action Recognition , 2013, International Journal of Computer Vision.
[25] Thomas Serre,et al. HMDB: A large video database for human motion recognition , 2011, 2011 International Conference on Computer Vision.
[26] 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.
[27] Frank Harary,et al. Graph Theory , 2016 .
[28] Trevor Hastie,et al. The Elements of Statistical Learning , 2001 .
[29] Sinisa Todorovic. Human Activities as Stochastic Kronecker Graphs , 2012, ECCV.
[30] 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.
[31] Cordelia Schmid,et al. Actom sequence models for efficient action detection , 2011, CVPR 2011.
[32] Alain Rakotomamonjy,et al. Kernel on Bag of Paths For Measuring Similarity of Shapes , 2007, ESANN.
[33] David J. Kriegman,et al. Leveraging temporal, contextual and ordering constraints for recognizing complex activities in video , 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.
[34] Ivan Laptev,et al. Track to the future: Spatio-temporal video segmentation with long-range motion cues , 2011, CVPR 2011.
[35] Carlo Tomasi,et al. Good features to track , 1994, 1994 Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.
[36] Jitendra Malik,et al. Object Segmentation by Long Term Analysis of Point Trajectories , 2010, ECCV.
[37] Nazli Ikizler-Cinbis,et al. Object, Scene and Actions: Combining Multiple Features for Human Action Recognition , 2010, ECCV.
[38] Cordelia Schmid,et al. Actions in context , 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.
[39] William Brendel,et al. Learning spatiotemporal graphs of human activities , 2011, 2011 International Conference on Computer Vision.
[40] Jitendra Malik,et al. Motion segmentation and tracking using normalized cuts , 1998, Sixth International Conference on Computer Vision (IEEE Cat. No.98CH36271).
[41] Jitendra Malik,et al. Spectral grouping using the Nystrom method , 2004, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[42] Ivan Laptev,et al. On Space-Time Interest Points , 2003, Proceedings Ninth IEEE International Conference on Computer Vision.
[43] Cordelia Schmid,et al. Human Detection Using Oriented Histograms of Flow and Appearance , 2006, ECCV.
[44] Adriana Kovashka,et al. Learning a hierarchy of discriminative space-time neighborhood features for human action recognition , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[45] Fei-Fei Li,et al. Learning latent temporal structure for complex event detection , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.
[46] D. Sculley,et al. Web-scale k-means clustering , 2010, WWW '10.
[47] Ashok Srivastava,et al. Stable and Efficient Gaussian Process Calculations , 2009, J. Mach. Learn. Res..
[48] Tal Hassner,et al. Motion Interchange Patterns for Action Recognition in Unconstrained Videos , 2012, ECCV.
[49] David G. Stork,et al. Pattern Classification , 1973 .
[50] David A. McAllester,et al. Object Detection with Discriminatively Trained Part Based Models , 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[51] Luc Brun,et al. Hierarchical Bag of Paths for Kernel Based Shape Classification , 2008, SSPR/SPR.
[52] Alex Pentland,et al. A Bayesian Computer Vision System for Modeling Human Interactions , 1999, IEEE Trans. Pattern Anal. Mach. Intell..
[53] Cordelia Schmid,et al. Learning realistic human actions from movies , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.
[54] C. Morandi,et al. Registration of Translated and Rotated Images Using Finite Fourier Transforms , 1987, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[55] Mubarak Shah,et al. Recognizing human actions , 2005, VSSN@MM.
[56] C. Schmid,et al. Recognizing activities with cluster-trees of tracklets , 2012, BMVC.
[57] Michael Dorr,et al. Space-Variant Descriptor Sampling for Action Recognition Based on Saliency and Eye Movements , 2012, ECCV.
[58] Ian D. Reid,et al. High Five: Recognising human interactions in TV shows , 2010, BMVC.
[59] Alex Zelinsky,et al. Learning OpenCV---Computer Vision with the OpenCV Library (Bradski, G.R. et al.; 2008)[On the Shelf] , 2009, IEEE Robotics & Automation Magazine.
[60] Silvio Savarese,et al. Recognizing human actions by attributes , 2011, CVPR 2011.
[61] Yang Wang,et al. Hidden Part Models for Human Action Recognition: Probabilistic versus Max Margin , 2011, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[62] Subhransu Maji,et al. Classification using intersection kernel support vector machines is efficient , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.
[63] Gang Yu,et al. Propagative Hough Voting for Human Activity Recognition , 2012, ECCV.