Masked-RPCA: Moving Object Detection With an Overlaying Model

Masked-RPCA: Moving Object Detection With an Overlaying Model

Moving object detection in a given video sequence is a pivotal step in many computer vision applications such as video surveillance. Robust Principal Component Analysis (RPCA) performs low-rank and sparse decomposition to accomplish such a task when the background is stationary and the foreground is...

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Bibliographic Details
Main Authors: Amirhossein Khalilian-Gourtani, Shervin Minaee, Yao Wang
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Open Journal of Signal Processing
Subjects:
Moving object detection
foreground-background subtraction
nuclear-norm minimization
low-rank matrices
sparsity
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Online Access:https://ieeexplore.ieee.org/document/9264716/

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https://ieeexplore.ieee.org/document/9264716/

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