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Applied Optics

Applied Optics

APPLICATIONS-CENTERED RESEARCH IN OPTICS

  • Editor: Joseph N. Mait
  • Vol. 53, Iss. 6 — Feb. 20, 2014
  • pp: 1181–1190

Detecting and tracking moving objects in long-distance imaging through turbulent medium

Eli Chen, Oren Haik, and Yitzhak Yitzhaky  »View Author Affiliations


Applied Optics, Vol. 53, Issue 6, pp. 1181-1190 (2014)
http://dx.doi.org/10.1364/AO.53.001181


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Abstract

The challenge of detecting and tracking moving objects in imaging throughout the atmosphere stems from the atmospheric turbulence effects that cause time-varying image shifts and blur. These phenomena significantly increase the miss and false detection rates in long-range horizontal imaging. An efficient method was developed, which is based on novel criteria for objects’ spatio-temporal properties, to discriminate true from false detections, following an adaptive thresholding procedure for foreground detection and an activity-based false alarm likeliness masking. The method is demonstrated on significantly distorted videos and compared with state of the art methods, and shows better false alarm and miss detection rates.

© 2014 Optical Society of America

OCIS Codes
(010.1330) Atmospheric and oceanic optics : Atmospheric turbulence
(100.3008) Image processing : Image recognition, algorithms and filters
(100.4999) Image processing : Pattern recognition, target tracking
(010.7295) Atmospheric and oceanic optics : Visibility and imaging

ToC Category:
Image Processing

History
Original Manuscript: October 18, 2013
Revised Manuscript: January 14, 2014
Manuscript Accepted: January 14, 2014
Published: February 20, 2014

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

Citation
Eli Chen, Oren Haik, and Yitzhak Yitzhaky, "Detecting and tracking moving objects in long-distance imaging through turbulent medium," Appl. Opt. 53, 1181-1190 (2014)
http://www.opticsinfobase.org/ao/abstract.cfm?URI=ao-53-6-1181

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