Action Recognition Using Particle Flow Fields
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[1] Koen E. A. van de Sande,et al. Evaluating Color Descriptors for Object and Scene Recognition , 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[2] 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.
[3] J. Aggarwal,et al. Recognizing human action from a far field of view , 2009, 2009 Workshop on Motion and Video Computing (WMVC).
[4] A. Guttmma,et al. R-trees: a dynamic index structure for spatial searching , 1984 .
[5] Thomas Serre,et al. HMDB: A large video database for human motion recognition , 2011, 2011 International Conference on Computer Vision.
[6] Antonin Guttman,et al. R-trees: a dynamic index structure for spatial searching , 1984, SIGMOD '84.
[7] G. Johansson. Visual perception of biological motion and a model for its analysis , 1973 .
[8] Mubarak Shah,et al. A differential geometric approach to representing the human actions , 2008, Comput. Vis. Image Underst..
[9] Fei-Fei Li,et al. What Does Classifying More Than 10, 000 Image Categories Tell Us? , 2010, ECCV.
[10] Alexei A. Efros,et al. Discovering objects and their location in images , 2005, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1.
[11] Jon Louis Bentley,et al. Multidimensional Binary Search Trees in Database Applications , 1979, IEEE Transactions on Software Engineering.
[12] Tae-Kyun Kim,et al. Learning Motion Categories using both Semantic and Structural Information , 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.
[13] Patrick Pérez,et al. Cross-View Action Recognition from Temporal Self-similarities , 2008, ECCV.
[14] Aaron F. Bobick,et al. Parametric Hidden Markov Models for Gesture Recognition , 1999, IEEE Trans. Pattern Anal. Mach. Intell..
[15] Cordelia Schmid,et al. Learning realistic human actions from movies , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.
[16] Leo Breiman,et al. Bagging Predictors , 1996, Machine Learning.
[17] Mubarak Shah,et al. Incremental action recognition using feature-tree , 2009, 2009 IEEE 12th International Conference on Computer Vision.
[18] Edward H. Adelson,et al. Human-assisted motion annotation , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.
[19] Rama Chellappa,et al. Machine Recognition of Human Activities: A Survey , 2008, IEEE Transactions on Circuits and Systems for Video Technology.
[20] Barbara Caputo,et al. Recognizing human actions: a local SVM approach , 2004, ICPR 2004.
[21] Shin'ichi Satoh,et al. Experimental evaluation of disk-based data structures for nearest neighbor searching , 1999, Data Structures, Near Neighbor Searches, and Methodology.
[22] Thomas S. Huang,et al. Gesture modeling and recognition using finite state machines , 2000, Proceedings Fourth IEEE International Conference on Automatic Face and Gesture Recognition (Cat. No. PR00580).
[23] Takeo Kanade,et al. An Iterative Image Registration Technique with an Application to Stereo Vision , 1981, IJCAI.
[24] Nazli Ikizler-Cinbis,et al. Object, Scene and Actions: Combining Multiple Features for Human Action Recognition , 2010, ECCV.
[25] Mubarak Shah,et al. Actions sketch: a novel action representation , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).
[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] Trevor Darrell,et al. Adaptive Vocabulary Forests br Dynamic Indexing and Category Learning , 2007, 2007 IEEE 11th International Conference on Computer Vision.
[28] Barbara Caputo,et al. Recognizing human actions: a local SVM approach , 2004, Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004..
[29] 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.
[30] Baoxin Li,et al. YouTubeCat: Learning to categorize wild web videos , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[31] 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.
[32] Antonio Criminisi,et al. Object categorization by learned universal visual dictionary , 2005, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1.
[33] Cordelia Schmid,et al. Evaluation of Local Spatio-temporal Features for Action Recognition , 2009, BMVC.
[34] Krystian Mikolajczyk,et al. Action recognition with motion-appearance vocabulary forest , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.
[35] Cordelia Schmid,et al. A Spatio-Temporal Descriptor Based on 3D-Gradients , 2008, BMVC.
[36] Michael I. Jordan,et al. Latent Dirichlet Allocation , 2001, J. Mach. Learn. Res..
[37] Thomas Hofmann,et al. Unsupervised Learning by Probabilistic Latent Semantic Analysis , 2004, Machine Learning.
[38] Rémi Ronfard,et al. A survey of vision-based methods for action representation, segmentation and recognition , 2011, Comput. Vis. Image Underst..
[39] Frédéric Jurie,et al. Fast Discriminative Visual Codebooks using Randomized Clustering Forests , 2006, NIPS.
[40] Mubarak Shah,et al. A Lagrangian Particle Dynamics Approach for Crowd Flow Segmentation and Stability Analysis , 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.
[41] Mubarak Shah,et al. A Streakline Representation of Flow in Crowded Scenes , 2010, ECCV.
[42] Vincent Lepetit,et al. Randomized trees for real-time keypoint recognition , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).
[43] Pietro Perona,et al. A Bayesian hierarchical model for learning natural scene categories , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).
[44] James W. Davis,et al. The Recognition of Human Movement Using Temporal Templates , 2001, IEEE Trans. Pattern Anal. Mach. Intell..
[45] Shin'ichi Satoh,et al. The SR-tree: an index structure for high-dimensional nearest neighbor queries , 1997, SIGMOD '97.
[46] Alexei A. Efros,et al. Unbiased look at dataset bias , 2011, CVPR 2011.
[47] G LoweDavid,et al. Distinctive Image Features from Scale-Invariant Keypoints , 2004 .
[48] Qi Tian,et al. Probabilistic optimized ranking for multimedia semantic concept detection via RVM , 2008, CIVR '08.
[49] Martial Hebert,et al. Spatio-temporal Shape and Flow Correlation for Action Recognition , 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.
[50] Ronen Basri,et al. Actions as space-time shapes , 2005, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1.
[51] Eli Shechtman,et al. In defense of Nearest-Neighbor based image classification , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.
[52] David Nistér,et al. Scalable Recognition with a Vocabulary Tree , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).
[53] Mubarak Shah,et al. A 3-dimensional sift descriptor and its application to action recognition , 2007, ACM Multimedia.
[54] Rama Chellappa,et al. Ieee Transactions on Pattern Analysis and Machine Intelligence 1 Matching Shape Sequences in Video with Applications in Human Movement Analysis. Ieee Transactions on Pattern Analysis and Machine Intelligence 2 , 2022 .
[55] Cordelia Schmid,et al. Action recognition by dense trajectories , 2011, CVPR 2011.
[56] Larry S. Davis,et al. AVSS 2011 demo session: A large-scale benchmark dataset for event recognition in surveillance video , 2011, AVSS.
[57] Larry S. Davis,et al. Observing Human-Object Interactions: Using Spatial and Functional Compatibility for Recognition , 2009, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[58] Ivan Laptev,et al. On Space-Time Interest Points , 2003, Proceedings Ninth IEEE International Conference on Computer Vision.
[59] Mubarak Shah,et al. Learning human actions via information maximization , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.
[60] Luc Van Gool,et al. An Efficient Dense and Scale-Invariant Spatio-Temporal Interest Point Detector , 2008, ECCV.
[61] Rémi Ronfard,et al. Action Recognition from Arbitrary Views using 3D Exemplars , 2007, 2007 IEEE 11th International Conference on Computer Vision.
[62] David G. Lowe,et al. Indexing without Invariants in 3D Object Recognition , 1999, IEEE Trans. Pattern Anal. Mach. Intell..
[63] Jiebo Luo,et al. Recognizing realistic actions from videos “in the wild” , 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.
[64] 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.
[65] Ronald Poppe,et al. A survey on vision-based human action recognition , 2010, Image Vis. Comput..
[66] Mubarak Shah,et al. Motion-based recognition a survey , 1995, Image Vis. Comput..