Background Modeling Based on Statistical Clustering Partitioning
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Xu Zhiyong | Xiangsuo Fan | Jianlin Zhang | Biao Li | Xiangru Wang | Jianlin Zhang | Xu Zhiyong | Xiangsuo Fan | Biao Li | Xiangru Wang
[1] Sajid Javed,et al. Robust Subspace Learning: Robust PCA, Robust Subspace Tracking, and Robust Subspace Recovery , 2017, IEEE Signal Processing Magazine.
[2] Trevor Darrell,et al. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation , 2013, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[3] Michael J. Black,et al. A Framework for Robust Subspace Learning , 2003, International Journal of Computer Vision.
[4] Namrata Vaswani,et al. An Online Algorithm for Separating Sparse and Low-Dimensional Signal Sequences From Their Sum , 2013, IEEE Transactions on Signal Processing.
[5] Soon Ki Jung,et al. Online Stochastic Tensor Decomposition for Background Subtraction in Multispectral Video Sequences , 2015, 2015 IEEE International Conference on Computer Vision Workshop (ICCVW).
[6] El-hadi Zahzah,et al. Handbook of Robust Low-Rank and Sparse Matrix Decomposition: Applications in Image and Video Processing , 2016 .
[7] Sajid Javed,et al. On the Applications of Robust PCA in Image and Video Processing , 2018, Proceedings of the IEEE.
[8] Gerhard Rigoll,et al. Background segmentation with feedback: The Pixel-Based Adaptive Segmenter , 2012, 2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops.
[9] Marc Van Droogenbroeck,et al. ViBe: A Universal Background Subtraction Algorithm for Video Sequences , 2011, IEEE Transactions on Image Processing.
[10] N. Campbell. Robust Procedures in Multivariate Analysis I: Robust Covariance Estimation , 1980 .
[11] Pablo A. Parrilo,et al. Rank-Sparsity Incoherence for Matrix Decomposition , 2009, SIAM J. Optim..
[12] Takeo Kanade,et al. Robust L/sub 1/ norm factorization in the presence of outliers and missing data by alternative convex programming , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).
[13] El-hadi Zahzah,et al. LRSLibrary: Low-Rank and Sparse tools for Background Modeling and Subtraction in Videos , 2016 .
[14] Yi Ma,et al. The Augmented Lagrange Multiplier Method for Exact Recovery of Corrupted Low-Rank Matrices , 2010, Journal of structural biology.
[15] Huanyao Dai,et al. Target Detection Method Before Tracking based on Particle Filter , 2017 .
[16] Yi Yang,et al. Infrared Patch-Image Model for Small Target Detection in a Single Image , 2013, IEEE Transactions on Image Processing.
[17] Xiang Zhang,et al. OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks , 2013, ICLR.
[18] John Wright,et al. Dense Error Correction Via $\ell^1$-Minimization , 2010, IEEE Transactions on Information Theory.
[19] Emmanuel J. Candès,et al. A Singular Value Thresholding Algorithm for Matrix Completion , 2008, SIAM J. Optim..
[20] Laura Balzano,et al. Incremental gradient on the Grassmannian for online foreground and background separation in subsampled video , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.
[21] Karl Pearson F.R.S.. LIII. On lines and planes of closest fit to systems of points in space , 1901 .
[22] Antoine Vacavant,et al. A comprehensive review of background subtraction algorithms evaluated with synthetic and real videos , 2014, Comput. Vis. Image Underst..
[23] Yoshua Bengio,et al. Gradient-based learning applied to document recognition , 1998, Proc. IEEE.
[24] Soon Ki Jung,et al. Decomposition into Low-rank plus Additive Matrices for Background/Foreground Separation: A Review for a Comparative Evaluation with a Large-Scale Dataset , 2015, Comput. Sci. Rev..
[25] Thierry Bouwmans,et al. Background Subtraction in Real Applications: Challenges, Current Models and Future Directions , 2019, Comput. Sci. Rev..
[26] Z. Zivkovic. Improved adaptive Gaussian mixture model for background subtraction , 2004, ICPR 2004.
[27] Alexander G. Gray,et al. QUIC-SVD: Fast SVD Using Cosine Trees , 2008, NIPS.
[28] Yi Ma,et al. Robust principal component analysis? , 2009, JACM.
[29] Xin Zhou,et al. Small Infrared Target Detection Based on Weighted Local Difference Measure , 2016, IEEE Transactions on Geoscience and Remote Sensing.
[30] Weidong Yang,et al. Moving dim point target detection with three-dimensional wide-to-exact search directional filtering , 2007, Pattern Recognit. Lett..
[31] Marc Van Droogenbroeck,et al. ViBE: A powerful random technique to estimate the background in video sequences , 2009, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing.
[32] Lee. R. Moyer,et al. A Multi-Dimensional Hough Transform-Based Track-Before-Detect Technique for Detecting Weak Targets in Strong Clutter Backgrounds , 2011, IEEE Transactions on Aerospace and Electronic Systems.
[33] Kyu-Ik Sohng,et al. An Efficient Two-Dimensional Least Mean Square (TDLMS) Based on Block Statistics for Small Target Detection , 2009 .
[34] Xiaoming Yuan,et al. Sparse and low-rank matrix decomposition via alternating direction method , 2013 .
[35] Christophe Croux,et al. A Fast Algorithm for Robust Principal Components Based on Projection Pursuit , 1996 .
[36] Xiangzhi Bai,et al. Infrared small target enhancement and detection based on modified top-hat transformations , 2010, Comput. Electr. Eng..
[37] Brendt Wohlberg,et al. Fast principal component pursuit via alternating minimization , 2013, 2013 IEEE International Conference on Image Processing.
[38] Kyu-Ik Sohng,et al. Small Target Detection Using Bilateral Filter Based on Edge Component , 2010 .