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Optical compressive change and motion detection |
Applied Optics, Vol. 51, Issue 13, pp. 2491-2496 (2012)
http://dx.doi.org/10.1364/AO.51.002491
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Abstract
Localization information of moving and changing objects, as commonly extracted from video sequences, is typically very sparse with respect to the full data frames, thus fulfilling one of the basic conditions of compressive sensing theory. Motivated by this observation, we developed an optical compressive change and motion-sensing technique that detects the location of moving objects by using a significantly fewer samples than conventionally taken. We present examples of motion detection and motion tracking with over two orders of magnitude fewer samples than required with conventional systems.
© 2012 Optical Society of America
OCIS Codes
(110.1758) Imaging systems : Computational imaging
(110.4153) Imaging systems : Motion estimation and optical flow
(150.6044) Machine vision : Smart cameras
ToC Category:
Imaging Systems
History
Original Manuscript: January 23, 2012
Revised Manuscript: March 12, 2012
Manuscript Accepted: March 23, 2012
Published: May 1, 2012
Citation
Yuval Kashter, Ofer Levi, and Adrian Stern, "Optical compressive change and motion detection," Appl. Opt. 51, 2491-2496 (2012)
http://www.opticsinfobase.org/ao/abstract.cfm?URI=ao-51-13-2491
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