Human fall detection in videos by fusing statistical features of shape and motion dynamics on Riemannian manifolds
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[1] Matti Pietikäinen,et al. Multiresolution Gray-Scale and Rotation Invariant Texture Classification with Local Binary Patterns , 2002, IEEE Trans. Pattern Anal. Mach. Intell..
[2] M. Kendall. A NEW MEASURE OF RANK CORRELATION , 1938 .
[3] A K Bourke,et al. Evaluation of a threshold-based tri-axial accelerometer fall detection algorithm. , 2007, Gait & posture.
[4] Dorin Comaniciu,et al. Kernel-Based Object Tracking , 2003, IEEE Trans. Pattern Anal. Mach. Intell..
[5] Xinguo Yu. Approaches and principles of fall detection for elderly and patient , 2008, HealthCom 2008 - 10th International Conference on e-health Networking, Applications and Services.
[6] Neil J. Gordon,et al. A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking , 2002, IEEE Trans. Signal Process..
[7] Jean Meunier,et al. Robust Video Surveillance for Fall Detection Based on Human Shape Deformation , 2011, IEEE Transactions on Circuits and Systems for Video Technology.
[8] 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).
[9] Ling Shao,et al. A survey on fall detection: Principles and approaches , 2013, Neurocomputing.
[10] C. E. SHANNON,et al. A mathematical theory of communication , 1948, MOCO.
[11] Rached Tourki,et al. Optimised spatio-temporal descriptors for real-time fall detection : comparison of SVM and Adaboost based classification , 2013 .
[12] Rached Tourki,et al. Optimized spatio-temporal descriptors for real-time fall detection: comparison of support vector machine and Adaboost-based classification , 2013, J. Electronic Imaging.
[13] Zhiquan Wang,et al. Home environment fall detection system based on a cascaded multi-SVM classifier , 2008, 2008 10th International Conference on Control, Automation, Robotics and Vision.
[14] ShaoLing,et al. A survey on fall detection , 2013 .
[15] David G. Lowe,et al. Distinctive Image Features from Scale-Invariant Keypoints , 2004, International Journal of Computer Vision.
[16] Bart Vanrumste,et al. Camera-Based Fall Detection on Real World Data , 2011, Theoretical Foundations of Computer Vision.
[17] Hongdong Li,et al. Combining Multiple Manifold-Valued Descriptors for Improved Object Recognition , 2013, 2013 International Conference on Digital Image Computing: Techniques and Applications (DICTA).
[18] Qi Tian,et al. Human Daily Action Analysis with Multi-view and Color-Depth Data , 2012, ECCV Workshops.
[19] Bogdan Kwolek,et al. Human fall detection on embedded platform using depth maps and wireless accelerometer , 2014, Comput. Methods Programs Biomed..
[20] Irene Y. H. Gu,et al. Online domain-shift learning and object tracking based on nonlinear dynamic models and particle filters on Riemannian manifolds , 2014, Comput. Vis. Image Underst..
[21] Ce Liu,et al. Exploring new representations and applications for motion analysis , 2009 .
[22] Franck Multon,et al. Fall Detection With Multiple Cameras: An Occlusion-Resistant Method Based on 3-D Silhouette Vertical Distribution , 2011, IEEE Transactions on Information Technology in Biomedicine.
[23] S. Miaou,et al. A Customized Human Fall Detection System Using Omni-Camera Images and Personal Information , 2006, 1st Transdisciplinary Conference on Distributed Diagnosis and Home Healthcare, 2006. D2H2..
[24] Gregory D. Hager,et al. Histograms of oriented optical flow and Binet-Cauchy kernels on nonlinear dynamical systems for the recognition of human actions , 2009, CVPR.
[25] Bogdan Kwolek,et al. Improving fall detection by the use of depth sensor and accelerometer , 2015, Neurocomputing.
[26] Marjorie Skubic,et al. Fall Detection in Homes of Older Adults Using the Microsoft Kinect , 2015, IEEE Journal of Biomedical and Health Informatics.
[27] Chong-Ho Choi,et al. Input Feature Selection by Mutual Information Based on Parzen Window , 2002, IEEE Trans. Pattern Anal. Mach. Intell..
[28] Haibo Wang,et al. Depth-Based Human Fall Detection via Shape Features and Improved Extreme Learning Machine , 2014, IEEE Journal of Biomedical and Health Informatics.
[29] Christopher J. C. Burges,et al. A Tutorial on Support Vector Machines for Pattern Recognition , 1998, Data Mining and Knowledge Discovery.