Presentation + Paper
14 May 2018 Video compressive sensing using Russian dolls ordering of Hadamard basis for multi-scale sampling of a scene in motion using a single pixel camera
Author Affiliations +
Abstract
The single pixel camera is an imaging system particularly well suited for scene acquisition where a matrix detector is unavailable. Because of the long acquisition times, the system is usually aided with common compressive sensing techniques. However, if the scene contains moving elements, the recovery may show poor results. In this article we review a new novel technique we purposed for recovery of a moving scene with a compressive single pixel camera. The technique is inspired by 'Russian-Dolls' multi-scale ordering of the Hadamard sensing matrix. The technique can handle both global motion (e.g. due to camera panning) and motion of the objects in the scene.
Conference Presentation
© (2018) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Vladislav Kravets and Adrian Stern "Video compressive sensing using Russian dolls ordering of Hadamard basis for multi-scale sampling of a scene in motion using a single pixel camera", Proc. SPIE 10669, Computational Imaging III, 106690K (14 May 2018); https://doi.org/10.1117/12.2304594
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KEYWORDS
Video

Cameras

Compressed sensing

Video compression

Motion estimation

Optical flow

Imaging systems

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