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Virtual Journal for Biomedical Optics

Virtual Journal for Biomedical Optics


  • Editors: Andrew Dunn and Anthony Durkin
  • Vol. 9, Iss. 4 — Apr. 1, 2014

Background modeling for moving object detection in long-distance imaging through turbulent medium

Adiel Elkabetz and Yitzhak Yitzhaky  »View Author Affiliations

Applied Optics, Vol. 53, Issue 6, pp. 1132-1141 (2014)

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A basic step in automatic moving objects detection is often modeling the background (i.e., the scene excluding the moving objects). The background model describes the temporal intensity distribution expected at different image locations. Long-distance imaging through atmospheric turbulent medium is affected mainly by blur and spatiotemporal movements in the image, which have contradicting effects on the temporal intensity distribution, mainly at edge locations. This paper addresses this modeling problem theoretically, and experimentally, for various long-distance imaging conditions. Results show that a unimodal distribution is usually a more appropriate model. However, if image deblurring is performed, a multimodal modeling might be more appropriate.

© 2014 Optical Society of America

OCIS Codes
(010.1330) Atmospheric and oceanic optics : Atmospheric turbulence
(110.2960) Imaging systems : Image analysis
(110.4100) Imaging systems : Modulation transfer function
(110.0115) Imaging systems : Imaging through turbulent media

ToC Category:
Imaging Systems

Original Manuscript: July 8, 2013
Revised Manuscript: December 31, 2013
Manuscript Accepted: January 15, 2014
Published: February 17, 2014

Virtual Issues
Vol. 9, Iss. 4 Virtual Journal for Biomedical Optics

Adiel Elkabetz and Yitzhak Yitzhaky, "Background modeling for moving object detection in long-distance imaging through turbulent medium," Appl. Opt. 53, 1132-1141 (2014)

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