Video Background/Foreground Separation Model Based on Non-Convex Rank Approximation RPCA and Superpixel Motion Detection

Video Background/Foreground Separation Model Based on Non-Convex Rank Approximation RPCA and Superpixel Motion Detection

Traditional robust principal component analysis (RPCA) is very prone to voids in the process of background/foreground separation of complex scene videos and easy to misjudge the dynamic background as a moving target, which makes the separation effect unideal. In order to address this problem, this a...

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Bibliographic Details
Main Authors: Yongli Wang, Hongchao Wei, Xiaoyun Ding, Juliang Tao
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Video background/foreground separation
RPCA
superpixel segmentation
linear spectral clustering algorithm
Otsu algorithm
motion mask
Online Access:https://ieeexplore.ieee.org/document/9174759/

Internet

https://ieeexplore.ieee.org/document/9174759/

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