Self-Motion-Assisted Tensor Completion Method for Background Initialization in Complex Video Sequences
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[1] Marc Van Droogenbroeck,et al. LaBGen-P-Semantic: A First Step for Leveraging Semantic Segmentation in Background Generation , 2018, J. Imaging.
[2] Juan C. SanMiguel,et al. Multi-feature stationary foreground detection for crowded video-surveillance , 2014, 2014 IEEE International Conference on Image Processing (ICIP).
[3] Narciso García,et al. Detection of stationary foreground objects: A survey , 2016, Comput. Vis. Image Underst..
[4] El-hadi Zahzah,et al. Matrix and tensor completion algorithms for background model initialization: A comparative evaluation , 2017, Pattern Recognit. Lett..
[5] Soon Ki Jung,et al. Spatiotemporal Low-Rank Modeling for Complex Scene Background Initialization , 2018, IEEE Transactions on Circuits and Systems for Video Technology.
[6] Soon Ki Jung,et al. Background–Foreground Modeling Based on Spatiotemporal Sparse Subspace Clustering , 2017, IEEE Transactions on Image Processing.
[7] Yassine Ruichek,et al. Incremental Tensor-Based Completion Method for Detection of Stationary Foreground Objects , 2019, IEEE Transactions on Circuits and Systems for Video Technology.
[8] Narciso García,et al. Detection of Stationary Foreground Objects Using Multiple Nonparametric Background-Foreground Models on a Finite State Machine , 2017, IEEE Transactions on Image Processing.
[9] Tamara G. Kolda,et al. Tensor Decompositions and Applications , 2009, SIAM Rev..
[10] Joos Vandewalle,et al. A Multilinear Singular Value Decomposition , 2000, SIAM J. Matrix Anal. Appl..
[11] Nidal S. Kamel,et al. Glove-Based Approach to Online Signature Verification , 2008, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[12] Lucia Maddalena,et al. Extensive Benchmark and Survey of Modeling Methods for Scene Background Initialization , 2017, IEEE Transactions on Image Processing.
[13] Rita Cucchiara,et al. Fast Background Initialization with Recursive Hadamard Transform , 2010, 2010 7th IEEE International Conference on Advanced Video and Signal Based Surveillance.
[14] Lucia Maddalena,et al. Scene background initialization: A taxonomy , 2017, Pattern Recognit. Lett..
[15] Luigi di Stefano,et al. An effective multi-stage background generation algorithm , 2005, IEEE Conference on Advanced Video and Signal Based Surveillance, 2005..
[16] Brian C. Lovell,et al. A Low-Complexity Algorithm for Static Background Estimation from Cluttered Image Sequences in Surveillance Contexts , 2013, EURASIP J. Image Video Process..
[17] Marc Van Droogenbroeck,et al. LaBGen: A method based on motion detection for generating the background of a scene , 2017, Pattern Recognit. Lett..
[18] Wen-Yuan Chen,et al. Face Recognition Based on Projected Color Space With Lighting Compensation , 2011, IEEE Signal Processing Letters.
[19] José María Martínez Sanchez,et al. Rejection based multipath reconstruction for background estimation in video sequences with stationary objects , 2016, Comput. Vis. Image Underst..
[20] Rubén Heras Evangelio,et al. Adaptively Splitted GMM With Feedback Improvement for the Task of Background Subtraction , 2014, IEEE Transactions on Information Forensics and Security.
[21] Wonjun Hwang,et al. SVD Face: Illumination-Invariant Face Representation , 2014, IEEE Signal Processing Letters.
[22] Bart Vandereycken,et al. Low-Rank Matrix Completion by Riemannian Optimization , 2013, SIAM J. Optim..
[23] Lucia Maddalena,et al. The SOBS algorithm: What are the limits? , 2012, 2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops.
[24] Dan Xu,et al. Background Subtraction Using Local SVD Binary Pattern , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).
[25] David Salesin,et al. Interactive digital photomontage , 2004, SIGGRAPH 2004.
[26] Guillaume-Alexandre Bilodeau,et al. SuBSENSE: A Universal Change Detection Method With Local Adaptive Sensitivity , 2015, IEEE Transactions on Image Processing.
[27] 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..
[28] Zhe Xu,et al. A Robust Background Initialization Algorithm with Superpixel Motion Detection , 2018, Signal Process. Image Commun..
[29] Sharath Pankanti,et al. Robust abandoned object detection using region-level analysis , 2011, 2011 18th IEEE International Conference on Image Processing.
[30] Soon Ki Jung,et al. Motion-Aware Graph Regularized RPCA for background modeling of complex scenes , 2016, 2016 23rd International Conference on Pattern Recognition (ICPR).
[31] Brendt Wohlberg,et al. Fast principal component pursuit via alternating minimization , 2013, 2013 IEEE International Conference on Image Processing.
[32] Yassine Ruichek,et al. SVD-Based Tensor-Completion Technique for Background Initialization , 2018, IEEE Transactions on Image Processing.
[33] Qi Xie,et al. Kronecker-Basis-Representation Based Tensor Sparsity and Its Applications to Tensor Recovery , 2018, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[34] Jing Xiao,et al. Robust background subtraction method via low-rank and structured sparse decomposition , 2018, China Communications.
[35] Marc Van Droogenbroeck,et al. LaBGen-P: A pixel-level stationary background generation method based on LaBGen , 2016, 2016 23rd International Conference on Pattern Recognition (ICPR).
[36] Lucia Maddalena,et al. Towards Benchmarking Scene Background Initialization , 2015, ICIAP Workshops.
[37] Kun Li,et al. Foreground–Background Separation From Video Clips via Motion-Assisted Matrix Restoration , 2015, IEEE Transactions on Circuits and Systems for Video Technology.
[38] Marc Van Droogenbroeck,et al. Is a Memoryless Motion Detection Truly Relevant for Background Generation with LaBGen? , 2017, ACIVS.