In this paper，a novel method is present based on low-rank matrix recovery，which can directly obtain background model as well as foreground objects from the video sequence． As the main computation of existing algorithms of low-rank matrix recovery is the singular value decomposition，most of which are time-consuming and not concise enough，the linear time SVD algorithm is introduced to the inexact augmented Lagrange multiplier method，and we get a more efficient background modeling algorithm． We test our algorithm on real video，and the experimental results show that our approach obtains good results and less time-consuming，compared to the exact and inexact augmented Lagrange multiplier method．

基于低秩矩阵恢复的视频背景建模_杨敏.pdf

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