LRSDSFD: low-rank sparse decomposition and symmetrical frame difference method for moving video foreground-background separation

In scenes with dynamic background or measurement noise, the low-rank sparse decomposition background modeling algorithm based on kernel norm constraint is easy to separate the moving background or noise as part of the foreground and the foreground at the same time, and it has poor modeling performa...

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Bibliographic Details
Main Author: Hongqiao Gao
Format: Article
Language:English
Published: European Alliance for Innovation (EAI) 2021-11-01
Series:EAI Endorsed Transactions on Scalable Information Systems
Subjects:
Online Access:https://publications.eai.eu/index.php/sis/article/view/302