Compressive Online Robust Principal Component Analysis with Optical Flow for Video Foreground-Background Separation

Abstract

In the context of online Robust Principal Component Analysis (RPCA) for the video foreground-background separation, we propose a compressive online RPCA with optical flow that separates recursively a sequence of frames into sparse (foreground) and low-rank (background) components. Our method considers a small set of measurements taken per data vector (frame… (More)
DOI: 10.1145/3155133.3155184

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