Adaptive pixel-block based background subtraction using low-rank and block-sparse matrix decomposition
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[1] Shengping Zhang,et al. Modality-correlation-aware sparse representation for RGB-infrared object tracking , 2020, Pattern Recognit. Lett..
[2] Shengping Zhang,et al. Robust Collaborative Discriminative Learning for RGB-Infrared Tracking , 2018, AAAI.
[3] Rama Chellappa,et al. Learning Common and Feature-Specific Patterns: A Novel Multiple-Sparse-Representation-Based Tracker , 2018, IEEE Transactions on Image Processing.
[4] Sambit Bakshi,et al. Improved pedestrian detection using motion segmentation and silhouette orientation , 2017, Multimedia Tools and Applications.
[5] Hejun Wu,et al. Weighted Low-Rank Decomposition for Robust Grayscale-Thermal Foreground Detection , 2017, IEEE Transactions on Circuits and Systems for Video Technology.
[6] Kun Zhang,et al. Real-Time Feature-Based Video Stabilization on FPGA , 2017, IEEE Transactions on Circuits and Systems for Video Technology.
[7] Jinwoo Park,et al. Vision-based surveillance system for monitoring traffic conditions , 2017, Multimedia Tools and Applications.
[8] Rama Chellappa,et al. Robust MIL-Based Feature Template Learning for Object Tracking , 2017, AAAI.
[9] Shengping Zhang,et al. Robust Joint Discriminative Feature Learning for Visual Tracking , 2016, IJCAI.
[10] Constantine Caramanis,et al. Fast Algorithms for Robust PCA via Gradient Descent , 2016, NIPS.
[11] David S. Rosenblum,et al. From action to activity: Sensor-based activity recognition , 2016, Neurocomputing.
[12] Li Liu,et al. Recognizing Complex Activities by a Probabilistic Interval-Based Model , 2016, AAAI.
[13] Rama Chellappa,et al. Joint Sparse Representation and Robust Feature-Level Fusion for Multi-Cue Visual Tracking , 2015, IEEE Transactions on Image Processing.
[14] Luming Zhang,et al. Action2Activity: Recognizing Complex Activities from Sensor Data , 2015, IJCAI.
[15] Wenjuan Sheng,et al. Background modeling and its evaluation for complex scenes , 2015, Multimedia Tools and Applications.
[16] Chun-Rong Huang,et al. Binary Descriptor Based Nonparametric Background Modeling for Foreground Extraction by Using Detection Theory , 2015, IEEE Transactions on Circuits and Systems for Video Technology.
[17] Guoying Zhao,et al. Background Subtraction Based on Low-Rank and Structured Sparse Decomposition , 2015, IEEE Transactions on Image Processing.
[18] Narendra Ahuja,et al. Robust Orthonormal Subspace Learning: Efficient Recovery of Corrupted Low-Rank Matrices , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[19] Pong C. Yuen,et al. Multi-cue Visual Tracking Using Robust Feature-Level Fusion Based on Joint Sparse Representation , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[20] T. Xiang,et al. Background Subtraction with DirichletProcess Mixture Models , 2014, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[21] Yu-Xiang Wang,et al. Block-Sparse RPCA for Salient Motion Detection , 2014, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[22] Chih-Hsien Hsia,et al. Fast Background Subtraction Based on a Multilayer Codebook Model for Moving Object Detection , 2013, IEEE Transactions on Circuits and Systems for Video Technology.
[23] Brendt Wohlberg,et al. Fast principal component pursuit via alternating minimization , 2013, 2013 IEEE International Conference on Image Processing.
[24] Dacheng Tao,et al. Shifted Subspaces Tracking on Sparse Outlier for Motion Segmentation , 2013, IJCAI.
[25] Brian C. Lovell,et al. Improved Foreground Detection via Block-Based Classifier Cascade With Probabilistic Decision Integration , 2013, IEEE Transactions on Circuits and Systems for Video Technology.
[26] Thierry Chateau,et al. A Benchmark Dataset for Outdoor Foreground/Background Extraction , 2012, ACCV Workshops.
[27] Thierry Bouwmans,et al. Foreground Detection via Robust Low Rank Matrix Decomposition Including Spatio-Temporal Constraint , 2012, ACCV Workshops.
[28] Thierry Bouwmans,et al. Foreground detection via robust low rank matrix factorization including spatial constraint with Iterative reweighted regression , 2012, Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012).
[29] Jingdong Wang,et al. A Probabilistic Approach to Robust Matrix Factorization , 2012, ECCV.
[30] Rubén Heras Evangelio,et al. Splitting Gaussians in Mixture Models , 2012, 2012 IEEE Ninth International Conference on Advanced Video and Signal-Based Surveillance.
[31] Thierry Bouwmans,et al. Moving Object Detection via Robust Low Rank Matrix Decomposition with IRLS Scheme , 2012, ISVC.
[32] Fatih Murat Porikli,et al. Changedetection.net: A new change detection benchmark dataset , 2012, 2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops.
[33] Marc Van Droogenbroeck,et al. Background subtraction: Experiments and improvements for ViBe , 2012, 2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops.
[34] Oihana Otaegui,et al. Adaptive Multicue Background Subtraction for Robust Vehicle Counting and Classification , 2012, IEEE Transactions on Intelligent Transportation Systems.
[35] Xiaochun Cao,et al. Motion saliency detection using low-rank and sparse decomposition , 2012, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[36] Benjamin Höferlin,et al. Evaluation of background subtraction techniques for video surveillance , 2011, CVPR 2011.
[37] Marc Van Droogenbroeck,et al. ViBe: A Universal Background Subtraction Algorithm for Video Sequences , 2011, IEEE Transactions on Image Processing.
[38] Gongguo Tang,et al. Robust principal component analysis based on low-rank and block-sparse matrix decomposition , 2011, 2011 45th Annual Conference on Information Sciences and Systems.
[39] Yi Ma,et al. The Augmented Lagrange Multiplier Method for Exact Recovery of Corrupted Low-Rank Matrices , 2010, Journal of structural biology.
[40] Xiaodong Li,et al. Dense error correction for low-rank matrices via Principal Component Pursuit , 2010, 2010 IEEE International Symposium on Information Theory.
[41] Samy Bengio,et al. Group Sparse Coding , 2009, NIPS.
[42] John Wright,et al. Robust Principal Component Analysis: Exact Recovery of Corrupted Low-Rank Matrices via Convex Optimization , 2009, NIPS.
[43] Jean-Luc Starck,et al. Monotone operator splitting for optimization problems in sparse recovery , 2009, 2009 16th IEEE International Conference on Image Processing (ICIP).
[44] Qingshan Liu,et al. Temporal spectral residual: fast motion saliency detection , 2009, ACM Multimedia.
[45] 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.
[46] Emmanuel J. Candès,et al. A Singular Value Thresholding Algorithm for Matrix Completion , 2008, SIAM J. Optim..
[47] Yin Zhang,et al. Fixed-Point Continuation for l1-Minimization: Methodology and Convergence , 2008, SIAM J. Optim..
[48] Lucia Maddalena,et al. A Self-Organizing Approach to Background Subtraction for Visual Surveillance Applications , 2008, IEEE Transactions on Image Processing.
[49] J. Pesquet,et al. A Douglas–Rachford Splitting Approach to Nonsmooth Convex Variational Signal Recovery , 2007, IEEE Journal of Selected Topics in Signal Processing.
[50] Dariu Gavrila,et al. Multi-cue Pedestrian Detection and Tracking from a Moving Vehicle , 2007, International Journal of Computer Vision.
[51] Qi Tian,et al. Statistical modeling of complex backgrounds for foreground object detection , 2004, IEEE Transactions on Image Processing.
[52] L. Davis,et al. Background and foreground modeling using nonparametric kernel density estimation for visual surveillance , 2002, Proc. IEEE.
[53] Anil K. Jain,et al. A background model initialization algorithm for video surveillance , 2001, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001.
[54] D. Gavrila. Pedestrian Detection from a Moving Vehicle , 2000, ECCV.
[55] A. Pentland,et al. A Bayesian Computer Vision System for Modeling Human Interactions , 1999, IEEE Trans. Pattern Anal. Mach. Intell..
[56] Y. Ivanov,et al. Fast Lighting Independent Background Subtraction , 1998, Proceedings 1998 IEEE Workshop on Visual Surveillance.
[57] K. Esbensen,et al. Principal component analysis , 1987 .
[58] Xiaoming Yuan,et al. Sparse and low-rank matrix decomposition via alternating direction method , 2013 .
[59] D. Tsai,et al. Independent Component Analysis-Based Background Subtraction for Indoor Surveillance , 2009, IEEE Transactions on Image Processing.
[60] Mohamed-Jalal Fadili,et al. Inpainting and Zooming Using Sparse Representations , 2009, Comput. J..
[61] I. Haritaoglu,et al. Background and foreground modeling using nonparametric kernel density estimation for visual surveillance , 2002 .
[62] L. Davis,et al. Ieee Transactions on Pattern Analysis and Machine Intelligence Density-based Multi-feature Background Subtraction with Support Vector Machine , 2022 .