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

25 Oct 2017Srivatsa PrativadibhayankaramHuynh Van LuongThanh-Ha LeAndre Kaup

In the context of online Robust Principle 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), which is different from conventional batch RPCA, processing all the data directly... (read more)

PDF Abstract


No code implementations yet. Submit your code now

Results from the Paper

  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.