An Efficient Low-Rank Sparse Decomposition Method for Moving Object Detection

Hui Zhu; Jin Luo; Hu Zhang

doi:10.1109/acait63902.2024.11022021

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JOURNAL ARTICLE

An Efficient Low-Rank Sparse Decomposition Method for Moving Object Detection

Hui Zhu Jin Luo Hu Zhang

Year: 2024 Pages: 341-345

DOI: 10.1109/acait63902.2024.11022021

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Keywords:

Computer science Decomposition Artificial intelligence Object detection Computer vision Rank (graph theory) Object (grammar) Sparse approximation Pattern recognition (psychology) Mathematics Combinatorics

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Video Surveillance and Tracking Methods

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Advanced Vision and Imaging

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Human Pose and Action Recognition

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

An Efficient Low-Rank Sparse Decomposition Method for Moving Object Detection

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