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

Prativadibhayankaram S, van Luong H, Le TH, Kaup A (2017)

Publication Language: English

Publication Type: Conference contribution

Publication year: 2017

DOI: 10.1145/3155133.3155184

Abstract

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. The proposed method also incorporates multiple prior information, namely previous foreground and background frames, to improve the separation and then updates the prior information for the next frame. Moreover, the foreground prior frames are improved by estimating motions between the previous foreground frames using optical flow and compensating the motions to achieve higher quality foreground prior. The proposed method is applied to online video foreground and background separation from compressive measurements. The visual and quantitative results show that our method outperforms the existing methods.

Authors with CRIS profile

Huynh van Luong Lehrstuhl für Multimediakommunikation und Signalverarbeitung Andre Kaup Lehrstuhl für Multimediakommunikation und Signalverarbeitung

Involved external institutions

Vietnam National University Hanoi (VNU) VN Viet Nam (VN)

How to cite

APA:

Prativadibhayankaram, S., van Luong, H., Le, T.-H., & Kaup, A. (2017). Compressive Online Robust Principal Component Analysis with Optical Flow for Video Foreground-Background Separation. In International Symposium on Information and Communication Technology (Eds.), Proceedings of the International Symposium on Information and Communication Technology.

MLA:

Prativadibhayankaram, Srivatsa, et al. "Compressive Online Robust Principal Component Analysis with Optical Flow for Video Foreground-Background Separation." Proceedings of the International Symposium on Information and Communication Technology Ed. International Symposium on Information and Communication Technology, 2017.

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