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Using dynamic mode decomposition for real-time background/foreground separation in video

机译:使用动态模式分解实现视频中的实时背景/前景分离

摘要

The technique of dynamic mode decomposition (DMD) is disclosed herein for the purpose of robustly separating video frames into background (low-rank) and foreground (sparse) components in real-time. Foreground/background separation is achieved at the computational cost of just one singular value decomposition (SVD) and one linear equation solve, thus producing results orders of magnitude faster than robust principal component analysis (RPCA). Additional techniques, including techniques for analyzing the video for multi-resolution time-scale components, and techniques for reusing computations to allow processing of streaming video in real time, are also described herein.
机译:本文公开了动态模式分解(DMD)技术,以将视频帧实时地稳健地分离为背景(低秩)和前景(稀疏)分量。仅以一个奇异值分解(SVD)和一个线性方程式求解的计算成本即可实现前景/背景分离,因此生成结果的速度比健壮的主成分分析(RPCA)快几个数量级。本文还描述了其他技术,包括用于分析视频的多分辨率时标分量的技术以及用于重用计算以允许实时处理流视频的技术。

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