Spatial image polynomial decomposition with application to video classification
暂无分享,去创建一个
Christine Fernandez-Maloigne | Hamid Tairi | Bertrand Augereau | Redouane El Moubtahij | B. Augereau | H. Tairi | C. Fernandez-Maloigne
[1] Md Atiqur Rahman Ahad,et al. Action recognition algorithm based on optical flow and RANSAC in frequency domain , 2011, SICE Annual Conference 2011.
[2] Lihi Zelnik-Manor,et al. Event-based analysis of video , 2001, Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001.
[3] Christine Fernandez-Maloigne,et al. Motion Estimation in Color Image Sequences , 2012 .
[4] Narendra Ahuja,et al. Maximum Margin Distance Learning for Dynamic Texture Recognition , 2010, ECCV.
[5] R. El Moubtahij,et al. A polynomial texture extraction with application in dynamic texture classification , 2015, International Conference on Quality Control by Artificial Vision.
[6] Martin Druon. Modélisation du mouvement par polynômes orthogonaux : application à l'étude d'écoulements fluides , 2009 .
[7] Ronen Basri,et al. Actions as space-time shapes , 2005, Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1.
[8] Alberto Del Bimbo,et al. Multi-scale and real-time non-parametric approach for anomaly detection and localization , 2012, Comput. Vis. Image Underst..
[9] David Picard,et al. Local polynomial space–time descriptors for action classification , 2016, Machine Vision and Applications.
[10] Tony F. Chan,et al. Structure-Texture Image Decomposition—Modeling, Algorithms, and Parameter Selection , 2006, International Journal of Computer Vision.
[11] Li-min Xia,et al. The Complex Action Recognition via the Correlated Topic Model , 2014, TheScientificWorldJournal.
[12] Stefano Soatto,et al. Dynamic Textures , 2003, International Journal of Computer Vision.
[13] Chih-Jen Lin,et al. LIBSVM: A library for support vector machines , 2011, TIST.
[14] Saeed Sadri,et al. A new efficient method to characterize dynamic textures based on a two-phase texture and dynamism analysis , 2014, Pattern Recognit. Lett..
[15] Krystian Mikolajczyk,et al. Action recognition with motion-appearance vocabulary forest , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.
[16] Ling Shao,et al. A Wavelet Based Local Descriptor for Human Action Recognition , 2010, BMVC.
[17] Matti Pietikäinen,et al. Automatic Dynamic Texture Segmentation Using Local Descriptors and Optical Flow , 2013, IEEE Transactions on Image Processing.
[18] Yves Meyer,et al. Oscillating Patterns in Image Processing and Nonlinear Evolution Equations: The Fifteenth Dean Jacqueline B. Lewis Memorial Lectures , 2001 .
[19] Loris Nanni,et al. High Performance Set of Features for Human Action Classification , 2009, IPCV.
[20] Cordelia Schmid,et al. A Spatio-Temporal Descriptor Based on 3D-Gradients , 2008, BMVC.
[21] Ying-Ke Lei,et al. Face recognition via Weighted Sparse Representation , 2013, J. Vis. Commun. Image Represent..
[22] Mark J. Huiskes,et al. DynTex: A comprehensive database of dynamic textures , 2010, Pattern Recognit. Lett..
[23] Jean-Michel Morel,et al. Cartoon+Texture Image Decomposition , 2011, Image Process. Line.
[24] Brian C. Lovell,et al. Directional Space-Time Oriented Gradients for 3D Visual Pattern Analysis , 2012, ECCV.
[25] Jitendra Malik,et al. Recognizing action at a distance , 2003, Proceedings Ninth IEEE International Conference on Computer Vision.
[26] H. Hashimoto,et al. Human action recognition using wavelet signal analysis as an input in 4W1H , 2010, 2010 8th IEEE International Conference on Industrial Informatics.
[27] Christine Fernandez-Maloigne,et al. Vectorial Computation of the Optical Flow in Color Image Sequences , 2005, Color Imaging Conference.
[28] Xudong Jiang,et al. Dynamic texture recognition using enhanced LBP features , 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.
[29] Matti Pietikäinen,et al. Human Activity Recognition Using a Dynamic Texture Based Method , 2008, BMVC.
[30] Mubarak Shah,et al. A 3-dimensional sift descriptor and its application to action recognition , 2007, ACM Multimedia.
[31] Yong Xu,et al. Dynamic texture classification using dynamic fractal analysis , 2011, 2011 International Conference on Computer Vision.
[32] Brian C. Lovell,et al. Discriminative Non-Linear Stationary Subspace Analysis for Video Classification , 2014, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[33] Takeo Kanade,et al. An Iterative Image Registration Technique with an Application to Stereo Vision , 1981, IJCAI.
[34] Matti Pietikäinen,et al. Dynamic Texture Recognition Using Volume Local Binary Patterns , 2006, WDV.
[35] Matti Pietikäinen,et al. Dynamic Texture Recognition Using Local Binary Patterns with an Application to Facial Expressions , 2007, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[36] Sloven Dubois,et al. Indexation de Textures Dynamiques à l'aide de Décompositions Multi-échelles , 2012 .
[37] S. Suzuki,et al. Feature extraction of temporal texture based on spatiotemporal motion trajectory , 1998, Proceedings. Fourteenth International Conference on Pattern Recognition (Cat. No.98EX170).
[38] L. Rudin,et al. Nonlinear total variation based noise removal algorithms , 1992 .
[39] Rémi Ronfard,et al. A survey of vision-based methods for action representation, segmentation and recognition , 2011, Comput. Vis. Image Underst..
[40] G. Aubert,et al. Image decomposition: application to textured images and SAR images , 2003 .
[41] ANTONIN CHAMBOLLE,et al. An Algorithm for Total Variation Minimization and Applications , 2004, Journal of Mathematical Imaging and Vision.
[42] Michel Ménard,et al. Analyse de Textures Dynamiques par décompositions spatio-temporelles: application à l'estimation du mouvement global , 2010 .
[43] Somayeh Danafar,et al. Action Recognition for Surveillance Applications Using Optic Flow and SVM , 2007, ACCV.