Moving Object Detection Using Tensor-Based Low-Rank and Saliently Fused-Sparse Decomposition

IEEE Transactions on Image Processing ◽

10.1109/tip.2016.2627803 ◽

2017 ◽

Vol 26 (2) ◽

pp. 724-737 ◽

Author(s):

Wenrui Hu ◽

Yehui Yang ◽

Wensheng Zhang ◽

Yuan Xie

Keyword(s):

Object Detection ◽

Moving Object Detection ◽

Moving Object ◽

Low Rank ◽

Sparse Decomposition

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Moving Object Detection in Time-Lapse or Motion Trigger Image Sequences Using Low-Rank and Invariant Sparse Decomposition

2017 IEEE International Conference on Computer Vision (ICCV) ◽

10.1109/iccv.2017.548 ◽

2017 ◽

Author(s):

Moein Shakeri ◽

Hong Zhang

Keyword(s):

Object Detection ◽

Image Sequences ◽

Moving Object Detection ◽

Moving Object ◽

Low Rank ◽

Sparse Decomposition

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Moving Object Detection Under Discontinuous Change in Illumination Using Tensor Low-Rank and Invariant Sparse Decomposition

2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) ◽

10.1109/cvpr.2019.00739 ◽

2019 ◽

Author(s):

Moein Shakeri ◽

Hong Zhang

Keyword(s):

Object Detection ◽

Moving Object Detection ◽

Moving Object ◽

Low Rank ◽

Discontinuous Change ◽

Sparse Decomposition

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Generalized singular value thresholding operator based nonconvex low-rank and sparse decomposition for moving object detection

Journal of the Franklin Institute ◽

10.1016/j.jfranklin.2019.09.017 ◽

2019 ◽

Vol 356 (16) ◽

pp. 10138-10154 ◽

Author(s):

Zhenzhen Yang ◽

Lu Fan ◽

Yongpeng Yang ◽

Zhen Yang ◽

Guan Gui

Keyword(s):

Object Detection ◽

Moving Object Detection ◽

Singular Value ◽

Moving Object ◽

Low Rank ◽

Sparse Decomposition ◽

Singular Value Thresholding

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Low-Rank Representation with Contextual Regularization for Moving Object Detection in Big Surveillance Video Data

2017 IEEE Third International Conference on Multimedia Big Data (BigMM) ◽

10.1109/bigmm.2017.37 ◽

2017 ◽

Author(s):

Bo-Hao Chen ◽

Ling-Feng Shi ◽

Xiao Ke

Keyword(s):

Object Detection ◽

Moving Object Detection ◽

Moving Object ◽

Low Rank ◽

Surveillance Video ◽

Low Rank Representation

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Moving Object Detection by Patch Dividing through Low-Rank Framework

2019 IEEE 3rd Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC) ◽

10.1109/imcec46724.2019.8983981 ◽

2019 ◽

Author(s):

Donghui He ◽

Jingjing Liu ◽

Mingyu Wang ◽

Xiaoyang Zeng

Keyword(s):

Object Detection ◽

Moving Object Detection ◽

Moving Object ◽

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Moving Object Detection by Detecting Contiguous Outliers in the Low-Rank Representation

IEEE Transactions on Pattern Analysis and Machine Intelligence ◽

10.1109/tpami.2012.132 ◽

2013 ◽

Vol 35 (3) ◽

pp. 597-610 ◽

Author(s):

Xiaowei Zhou ◽

Can Yang ◽

Weichuan Yu

Keyword(s):

Object Detection ◽

Moving Object Detection ◽

Moving Object ◽

Low Rank ◽

Low Rank Representation

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${L_{1/2}}$ Norm and Spatial Continuity Regularized Low-Rank Approximation for Moving Object Detection in Dynamic Background

IEEE Signal Processing Letters ◽

10.1109/lsp.2017.2768582 ◽

2018 ◽

Vol 25 (1) ◽

pp. 15-19 ◽

Author(s):

Lin Zhu ◽

Yuanhong Hao ◽

Yuejin Song

Keyword(s):

Object Detection ◽

Moving Object Detection ◽

Moving Object ◽

Low Rank ◽

Low Rank Approximation ◽

Dynamic Background ◽

Spatial Continuity ◽

Rank Approximation

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Moving object detection based on incremental learning low rank representation and spatial constraint

Neurocomputing ◽

10.1016/j.neucom.2015.05.088 ◽

2015 ◽

Vol 168 ◽

pp. 382-400 ◽

Author(s):

Jianfang Dou ◽

Jianxun Li ◽

Qin Qin ◽

Zimei Tu

Keyword(s):

Object Detection ◽

Incremental Learning ◽

Moving Object Detection ◽

Moving Object ◽

Low Rank ◽

Spatial Constraint ◽

Low Rank Representation

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Moving Object Detection via Robust Low Rank Matrix Decomposition with IRLS Scheme

Advances in Visual Computing - Lecture Notes in Computer Science ◽

10.1007/978-3-642-33179-4_63 ◽

2012 ◽

pp. 665-674 ◽

Author(s):

Charles Guyon ◽

Thierry Bouwmans ◽

El-Hadi Zahzah

Keyword(s):

Object Detection ◽

Matrix Decomposition ◽

Moving Object Detection ◽

Moving Object ◽

Low Rank ◽

Rank Matrix ◽

Low Rank Matrix

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Simultaneous denoising and moving object detection using low rank approximation

Future Generation Computer Systems ◽

10.1016/j.future.2018.07.065 ◽

2019 ◽

Vol 90 ◽

pp. 198-210 ◽

Author(s):

Shijila B. ◽

Anju Jose Tom ◽

Sudhish N. George

Keyword(s):

Object Detection ◽

Moving Object Detection ◽

Moving Object ◽

Low Rank ◽

Low Rank Approximation ◽

Rank Approximation

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