Video compressive sensing using Russian dolls ordering of Hadamard basis for multi-scale sampling of a scene in motion using a single pixel camera

Vladislav Kravets; Adrian Stern

doi:10.1117/12.2304594

Video compressive sensing using Russian dolls ordering of Hadamard basis for multi-scale sampling of a scene in motion using a single pixel camera

Vladislav Kravets, Adrian Stern

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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.

Original language	American English
Title of host publication	Computational Imaging III
Editors	Amit Ashok, Jonathan C. Petruccelli, Abhijit Mahalanobis, Lei Tian
Publisher	SPIE
ISBN (Electronic)	9781510618497
DOIs	https://doi.org/10.1117/12.2304594
State	Published - 1 Jan 2018
Event	Computational Imaging III 2018 - Orlando, United States Duration: 15 Apr 2018 → 17 Apr 2018

Publication series

Name	Proceedings of SPIE - The International Society for Optical Engineering
Volume	10669

Conference

Conference	Computational Imaging III 2018
Country/Territory	United States
City	Orlando
Period	15/04/18 → 17/04/18

Keywords

Video compressive sensing
multiscale sensing matrix
optical flow
single pixel camera

All Science Journal Classification (ASJC) codes

Electronic, Optical and Magnetic Materials
Condensed Matter Physics
Computer Science Applications
Applied Mathematics
Electrical and Electronic Engineering

Access to Document

10.1117/12.2304594

Cite this

Kravets, V., & Stern, A. (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. In A. Ashok, J. C. Petruccelli, A. Mahalanobis, & L. Tian (Eds.), Computational Imaging III Article 106690K (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 10669). SPIE. https://doi.org/10.1117/12.2304594

Kravets, Vladislav ; Stern, Adrian. / Video compressive sensing using Russian dolls ordering of Hadamard basis for multi-scale sampling of a scene in motion using a single pixel camera. Computational Imaging III. editor / Amit Ashok ; Jonathan C. Petruccelli ; Abhijit Mahalanobis ; Lei Tian. SPIE, 2018. (Proceedings of SPIE - The International Society for Optical Engineering).

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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.",

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Kravets, V & Stern, A 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. in A Ashok, JC Petruccelli, A Mahalanobis & L Tian (eds), Computational Imaging III., 106690K, Proceedings of SPIE - The International Society for Optical Engineering, vol. 10669, SPIE, Computational Imaging III 2018, Orlando, United States, 15/04/18. https://doi.org/10.1117/12.2304594

Video compressive sensing using Russian dolls ordering of Hadamard basis for multi-scale sampling of a scene in motion using a single pixel camera. / Kravets, Vladislav; Stern, Adrian.
Computational Imaging III. ed. / Amit Ashok; Jonathan C. Petruccelli; Abhijit Mahalanobis; Lei Tian. SPIE, 2018. 106690K (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 10669).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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Kravets V, Stern A. Video compressive sensing using Russian dolls ordering of Hadamard basis for multi-scale sampling of a scene in motion using a single pixel camera. In Ashok A, Petruccelli JC, Mahalanobis A, Tian L, editors, Computational Imaging III. SPIE. 2018. 106690K. (Proceedings of SPIE - The International Society for Optical Engineering). doi: 10.1117/12.2304594

Video compressive sensing using Russian dolls ordering of Hadamard basis for multi-scale sampling of a scene in motion using a single pixel camera

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Keywords

All Science Journal Classification (ASJC) codes

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