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Applied Optics

Applied Optics

APPLICATIONS-CENTERED RESEARCH IN OPTICS

  • Editor: Joseph N. Mait
  • Vol. 51, Iss. 21 — Jul. 20, 2012
  • pp: 4976–4983

Optical correlator based target detection, recognition, classification, and tracking

Tariq Manzur, John Zeller, and Steve Serati  »View Author Affiliations


Applied Optics, Vol. 51, Issue 21, pp. 4976-4983 (2012)
http://dx.doi.org/10.1364/AO.51.004976


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Abstract

A dedicated automatic target recognition and tracking optical correlator (OC) system using advanced processing technology has been developed. Rapidly cycling data-cubes with size, shape, and orientation are employed with software algorithms to isolate correlation peaks and enable tracking of targets in maritime environments with future track prediction. The method has been found superior to employing maximum average correlation height filters for which the correlation peak intensity drops off in proportion to the number of training images. The physical dimensions of the OC system may be reduced to as small as 2in.×2in.×3in. (51mm×51mm×76mm) by modifying and minimizing the OC components.

© 2012 Optical Society of America

OCIS Codes
(070.4550) Fourier optics and signal processing : Correlators
(100.1390) Image processing : Binary phase-only filters
(100.4550) Image processing : Correlators
(100.4999) Image processing : Pattern recognition, target tracking
(070.6120) Fourier optics and signal processing : Spatial light modulators

ToC Category:
Image Processing

History
Original Manuscript: February 27, 2012
Revised Manuscript: May 31, 2012
Manuscript Accepted: June 4, 2012
Published: July 11, 2012

Citation
Tariq Manzur, John Zeller, and Steve Serati, "Optical correlator based target detection, recognition, classification, and tracking," Appl. Opt. 51, 4976-4983 (2012)
http://www.opticsinfobase.org/ao/abstract.cfm?URI=ao-51-21-4976


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