A Cause and Effect Analysis of Motion Trajectories for Modeling Actions
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[1] Jitendra Malik,et al. Recognizing action at a distance , 2003, Proceedings Ninth IEEE International Conference on Computer Vision.
[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] Cordelia Schmid,et al. Learning realistic human actions from movies , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.
[4] Yasuo Kuniyoshi,et al. Causal Flow , 2011, IEEE Transactions on Multimedia.
[5] Mubarak Shah,et al. A 3-dimensional sift descriptor and its application to action recognition , 2007, ACM Multimedia.
[6] Yi Ma,et al. The Augmented Lagrange Multiplier Method for Exact Recovery of Corrupted Low-Rank Matrices , 2010, Journal of structural biology.
[7] Mubarak Shah,et al. Chaotic Invariants for Human Action Recognition , 2007, 2007 IEEE 11th International Conference on Computer Vision.
[8] Cordelia Schmid,et al. Dense Trajectories and Motion Boundary Descriptors for Action Recognition , 2013, International Journal of Computer Vision.
[9] James W. Davis,et al. The Recognition of Human Movement Using Temporal Templates , 2001, IEEE Trans. Pattern Anal. Mach. Intell..
[10] Patrick Bouthemy,et al. Better Exploiting Motion for Better Action Recognition , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.
[11] Lior Wolf,et al. Local Trinary Patterns for human action recognition , 2009, 2009 IEEE 12th International Conference on Computer Vision.
[12] Ivan Laptev,et al. On Space-Time Interest Points , 2003, Proceedings Ninth IEEE International Conference on Computer Vision.
[13] Martial Hebert,et al. Trajectons: Action recognition through the motion analysis of tracked features , 2009, 2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV Workshops.
[14] Cordelia Schmid,et al. Human Detection Using Oriented Histograms of Flow and Appearance , 2006, ECCV.
[15] 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.
[16] G. Johansson. Visual perception of biological motion and a model for its analysis , 1973 .
[17] Shuicheng Yan,et al. Pair-activity classification by bi-trajectories analysis , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.
[18] Karl J. Friston. Causal Modelling and Brain Connectivity in Functional Magnetic Resonance Imaging , 2009, PLoS biology.
[19] Cordelia Schmid,et al. Action Recognition with Improved Trajectories , 2013, 2013 IEEE International Conference on Computer Vision.
[20] G. Sapiro,et al. A collaborative framework for 3D alignment and classification of heterogeneous subvolumes in cryo-electron tomography. , 2013, Journal of structural biology.
[21] Thomas Serre,et al. HMDB: A large video database for human motion recognition , 2011, 2011 International Conference on Computer Vision.
[22] Feng Shi,et al. Sampling Strategies for Real-Time Action Recognition , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.
[23] Mubarak Shah,et al. Chaotic invariants of Lagrangian particle trajectories for anomaly detection in crowded scenes , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[24] Barbara Caputo,et al. Recognizing human actions: a local SVM approach , 2004, ICPR 2004.
[25] Cordelia Schmid,et al. Evaluation of Local Spatio-temporal Features for Action Recognition , 2009, BMVC.
[26] Vladimir Pavlovic,et al. Sparse Granger causality graphs for human action classification , 2012, Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012).
[27] 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.
[28] 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.
[29] Craig Hiemstra,et al. Testing for Linear and Nonlinear Granger Causality in the Stock Price-Volume Relation , 1994 .
[30] Chong-Wah Ngo,et al. Trajectory-Based Modeling of Human Actions with Motion Reference Points , 2012, ECCV.
[31] Mubarak Shah,et al. Recognizing 50 human action categories of web videos , 2012, Machine Vision and Applications.
[32] Ronen Basri,et al. Actions as Space-Time Shapes , 2007, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[33] C. Granger. Investigating causal relations by econometric models and cross-spectral methods , 1969 .
[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.