Abstract
The single-pixel imaging technique, which is significantly different from conventional multi-pixel imaging, utilizes the signal recorded by a single-pixel detector and a stream of structured illumination patterns to reconstruct an image. We design and experimentally demonstrate a real-time single-pixel foreground imaging system with fewer samples and without a priori sensing of the background by performing incremental principal component analysis on online compressed sampling data. A fast ℓ1 compressed sensing algorithm is adopted to realize real-time foreground imaging of 10 frames per second with an image size of 127 × 127 pixels and a compression ratio of 3%. When applied to a surveillance system that requires long-distance video transmission, this scheme can greatly reduce the compression ratio and allow the system to work with smaller communication bandwidths.
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