Original paper
Compressed-Sensed-Domain L1-PCA Video Surveillance
Abstract
We consider the problem of foreground and background extraction from compressed-sensed (CS) surveillance videos that are captured by a static CS camera. We propose, for the first time in the literature, a principal component analysis (PCA) approach that computes directly in the CS domain the low-rank subspace of the background scene. Rather than computing the conventional
Paper Details
Title
Compressed-Sensed-Domain L1-PCA Video Surveillance
Published Date
Mar 1, 2016
Volume
18
Issue
3
Pages
351 - 363
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Notes
History