Action recognition by saliency-based dense sampling
暂无分享,去创建一个
Huafeng Chen | Ruimin Hu | Jun Chen | Chen Chen | Hongyang Li | Qingquan Sun | Zengmin Xu
[1] Wei Zeng,et al. Learning Deep Trajectory Descriptor for action recognition in videos using deep neural networks , 2015, 2015 IEEE International Conference on Multimedia and Expo (ICME).
[2] Alan L. Yuille,et al. An Approach to Pose-Based Action Recognition , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.
[3] Limin Wang,et al. Action recognition with trajectory-pooled deep-convolutional descriptors , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[4] Nasser Kehtarnavaz,et al. A Real-Time Human Action Recognition System Using Depth and Inertial Sensor Fusion , 2016, IEEE Sensors Journal.
[5] Yi Yang,et al. Complex Event Detection using Semantic Saliency and Nearly-Isotonic SVM , 2015, ICML.
[6] Chong-Wah Ngo,et al. Trajectory-Based Modeling of Human Actions with Motion Reference Points , 2012, ECCV.
[7] Stefan Mathe. Actions in the Eye , 2014 .
[8] Jiebo Luo,et al. Recognizing realistic actions from videos “in the wild” , 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.
[9] 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.
[10] Yi Yang,et al. Multi-Class Active Learning by Uncertainty Sampling with Diversity Maximization , 2015, International Journal of Computer Vision.
[11] Mubarak Shah,et al. Recognizing 50 human action categories of web videos , 2012, Machine Vision and Applications.
[12] Cordelia Schmid,et al. Towards Understanding Action Recognition , 2013, 2013 IEEE International Conference on Computer Vision.
[13] S. Grossberg,et al. Neural dynamics of motion perception: Direction fields, apertures, and resonant grouping , 1993, Perception & psychophysics.
[14] Yi Yang,et al. They are Not Equally Reliable: Semantic Event Search Using Differentiated Concept Classifiers , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[15] Andrew Zisserman,et al. Two-Stream Convolutional Networks for Action Recognition in Videos , 2014, NIPS.
[16] 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.
[17] Michael Dorr,et al. Space-Variant Descriptor Sampling for Action Recognition Based on Saliency and Eye Movements , 2012, ECCV.
[18] Shi-Min Hu,et al. Global contrast based salient region detection , 2011, CVPR 2011.
[19] Alexander G. Hauptmann,et al. MoSIFT: Recognizing Human Actions in Surveillance Videos , 2009 .
[20] Cordelia Schmid,et al. Dense Trajectories and Motion Boundary Descriptors for Action Recognition , 2013, International Journal of Computer Vision.
[21] Limin Wang,et al. Mining Motion Atoms and Phrases for Complex Action Recognition , 2013, 2013 IEEE International Conference on Computer Vision.
[22] Cordelia Schmid,et al. Mixing Body-Part Sequences for Human Pose Estimation , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[23] Thomas Serre,et al. HMDB: A large video database for human motion recognition , 2011, 2011 International Conference on Computer Vision.
[24] Cordelia Schmid,et al. Action Recognition with Improved Trajectories , 2013, 2013 IEEE International Conference on Computer Vision.
[25] Yi Yang,et al. A discriminative CNN video representation for event detection , 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[26] Feng Shi,et al. Sampling Strategies for Real-Time Action Recognition , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.
[27] Yu Qiao,et al. Motion boundary based sampling and 3D co-occurrence descriptors for action recognition , 2014, Image Vis. Comput..
[28] Yi Yang,et al. Space-Time Robust Representation for Action Recognition , 2013, 2013 IEEE International Conference on Computer Vision.
[29] Patrick Bouthemy,et al. Better Exploiting Motion for Better Action Recognition , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.
[30] Ivan Laptev,et al. Efficient Feature Extraction, Encoding, and Classification for Action Recognition , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[31] Huafeng Chen,et al. Global Contrast Based Salient Region Boundary Sampling for Action Recognition , 2016, MMM.
[32] Chih-Jen Lin,et al. LIBSVM: A library for support vector machines , 2011, TIST.
[33] Richard Szeliski,et al. A Database and Evaluation Methodology for Optical Flow , 2007, 2007 IEEE 11th International Conference on Computer Vision.
[34] Yu Qiao,et al. Action Recognition with Stacked Fisher Vectors , 2014, ECCV.
[35] Ramakant Nevatia,et al. Single View Human Action Recognition using Key Pose Matching and Viterbi Path Searching , 2007, 2007 IEEE Conference on Computer Vision and Pattern Recognition.
[36] Leonid Sigal,et al. Poselet Key-Framing: A Model for Human Activity Recognition , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.
[37] Xiangjian He,et al. CAMHID: Camera Motion Histogram Descriptor and Its Application to Cinematographic Shot Classification , 2014, IEEE Transactions on Circuits and Systems for Video Technology.
[38] Fei-Fei Li,et al. Large-Scale Video Classification with Convolutional Neural Networks , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[39] Fernando De la Torre,et al. Spatio-temporal Matching for Human Detection in Video , 2014, ECCV.
[40] Jintao Li,et al. Hierarchical spatio-temporal context modeling for action recognition , 2009, CVPR.
[41] Nasser Kehtarnavaz,et al. Improving Human Action Recognition Using Fusion of Depth Camera and Inertial Sensors , 2015, IEEE Transactions on Human-Machine Systems.
[42] Cordelia Schmid,et al. Learning realistic human actions from movies , 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.
[43] Luc Van Gool,et al. Does Human Action Recognition Benefit from Pose Estimation? , 2011, BMVC.
[44] Bingbing Ni,et al. Motion Part Regularization: Improving action recognition via trajectory group selection , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[45] Yi Yang,et al. Web and Personal Image Annotation by Mining Label Correlation With Relaxed Visual Graph Embedding , 2012, IEEE Transactions on Image Processing.
[46] Kaiming He,et al. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks , 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[47] Huafeng Chen,et al. Compressed-Domain Based Camera Motion Estimation for Realtime Action Recognition , 2015, PCM.
[48] HeKaiming,et al. Faster R-CNN , 2017 .
[49] Andrew Zisserman,et al. Convolutional Two-Stream Network Fusion for Video Action Recognition , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[50] Ming Yang,et al. 3D Convolutional Neural Networks for Human Action Recognition , 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[51] Junjun Jiang,et al. Noise Robust Face Image Super-Resolution Through Smooth Sparse Representation , 2017, IEEE Transactions on Cybernetics.
[52] Frédéric Jurie,et al. Sampling Strategies for Bag-of-Features Image Classification , 2006, ECCV.
[53] Ronen Basri,et al. Actions as Space-Time Shapes , 2007, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[54] Mubarak Shah,et al. A 3-dimensional sift descriptor and its application to action recognition , 2007, ACM Multimedia.
[55] 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.
[56] Andrew Zisserman,et al. Improving Human Action Recognition Using Score Distribution and Ranking , 2014, ACCV.
[57] Tae-Kyun Kim,et al. Real-time Action Recognition by Spatiotemporal Semantic and Structural Forests , 2010, BMVC.
[58] Yi Yang,et al. Action recognition by exploring data distribution and feature correlation , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.
[59] Huafeng Chen,et al. Structural iMoSIFT for human action recognition , 2016, Wuhan University Journal of Natural Sciences.
[60] Barbara Caputo,et al. Recognizing human actions: a local SVM approach , 2004, Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004..
[61] Luc Van Gool,et al. An Efficient Dense and Scale-Invariant Spatio-Temporal Interest Point Detector , 2008, ECCV.
[62] Bhiksha Raj,et al. Beyond Gaussian Pyramid: Multi-skip Feature Stacking for action recognition , 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[63] 乔宇. Motionlets: Mid-Level 3D Parts for Human Motion Recognition , 2013 .
[64] James W. Davis,et al. The Recognition of Human Movement Using Temporal Templates , 2001, IEEE Trans. Pattern Anal. Mach. Intell..
[65] Lior Wolf,et al. Local Trinary Patterns for human action recognition , 2009, 2009 IEEE 12th International Conference on Computer Vision.
[66] Nasser Kehtarnavaz,et al. A survey of depth and inertial sensor fusion for human action recognition , 2015, Multimedia Tools and Applications.
[67] Cristian Sminchisescu,et al. Actions in the Eye: Dynamic Gaze Datasets and Learnt Saliency Models for Visual Recognition , 2013, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[68] Li Fei-Fei,et al. DenseCap: Fully Convolutional Localization Networks for Dense Captioning , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[69] Luc Van Gool,et al. Actionness Estimation Using Hybrid Fully Convolutional Networks , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[70] Huafeng Chen,et al. Multiple instance discriminative dictionary learning for action recognition , 2016, 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[71] Quoc V. Le,et al. Learning hierarchical invariant spatio-temporal features for action recognition with independent subspace analysis , 2011, CVPR 2011.
[72] Cordelia Schmid,et al. Evaluation of Local Spatio-temporal Features for Action Recognition , 2009, BMVC.
[73] Cordelia Schmid,et al. A Spatio-Temporal Descriptor Based on 3D-Gradients , 2008, BMVC.
[74] Yu Liu,et al. Human action recognition with Optimized Video Densely Sampling , 2013, 2013 IEEE International Conference on Multimedia and Expo (ICME).
[75] Ivan Laptev,et al. On Space-Time Interest Points , 2005, International Journal of Computer Vision.
[76] Yun Yang,et al. Action recognition from depth sequences using weighted fusion of 2D and 3D auto-correlation of gradients features , 2016, Multimedia Tools and Applications.
[77] Cordelia Schmid,et al. Human Detection Using Oriented Histograms of Flow and Appearance , 2006, ECCV.