@ARTICLE{chen_tcsvt19_motion,
author={B. {Chen} and L. {Shi} and X. {Ke}},
journal={IEEE Transactions on Circuits and Systems for Video Technology},
title={A Robust Moving Object Detection in Multi-Scenario Big Data for Video Surveillance},
year={2019},
volume={29},
number={4},
pages={982-995},
keywords={image motion analysis;image representation;image sensors;learning (artificial intelligence);object detection;video surveillance;robust moving object detection;multiscenario big data;video surveillance;advanced wireless imaging sensors;cloud data storage;video footage;unstructured data;multiscenario surveillance videos;contextual regularization;multiscenario surveillance data;contiguous outlier detection problem;low-rank constraint;multiple scenarios;multiscenario videos;dictionary learning-based sparse representation;Object detection;Robustness;Sparse matrices;Video surveillance;Video sequences;Context modeling;Big data;mutiple scenarios;moving object detection},
doi={10.1109/TCSVT.2018.2828606},
ISSN={1051-8215},
month={April},}