Object Tracking via Compressive Sensing

Yun Li; Chinmay Hegde; Kevin F. Kelly

doi:10.1364/COSI.2014.CM2D.4

Classical Optics 2014
OSA Technical Digest (online) (Optica Publishing Group, 2014),
paper CM2D.4
•https://doi.org/10.1364/COSI.2014.CM2D.4

Object Tracking via Compressive Sensing

Yun Li, Chinmay Hegde, and Kevin F. Kelly

Computational Optical Sensing and Imaging 2014

Kohala Coast, Hawaii United States
22–26 June 2014
ISBN: 978-1-55752-747-9

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Compressive Imaging and Optical Super-resolution (CM2D)

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Y. Li, C. Hegde, and K. F. Kelly, "Object Tracking via Compressive Sensing," in Classical Optics 2014, OSA Technical Digest (online) (Optica Publishing Group, 2014), paper CM2D.4.

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Abstract

We propose a novel, low-cost and efficient tracking system for various spectrums based on the single pixel camera. By designing patterns that effectively preserve the object location, the guaranteed tracking speed is considerably improved.

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