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Proceedings Paper

Optical Multi-Target Sub-Pixel Detection And Track Initiation
Author(s): David Casasent; Yeou-Lin Lin; James Slaski
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Paper Abstract

Optical processing techniques are presented that provide the necessary input data for multi-target trackers. We detail optical processing techniques for the detection of sub-pixel targets. We also detail optical processing techniques for the processing of composite frames of data from the first stage processor to detect target tracks and to estimate the position/velocity parameters of all targets and the covariance of all target state parameters. The first stage processor employs optical correlation, shift, interpolation and subtraction techniques. This second stage processor employs optical feature extraction techniques. Both processors utilize hybrid optical/digital processing techniques. Simulated data for both processor stages is provided. A new thresholded Hough transform processor is shown to provide reduced false track detections.

Paper Details

Date Published: 3 May 1988
PDF: 18 pages
Proc. SPIE 0881, Optical Computing and Nonlinear Materials, (3 May 1988); doi: 10.1117/12.944057
Show Author Affiliations
David Casasent, Carnegie Mellon University (United States)
Yeou-Lin Lin, Carnegie Mellon University (United States)
James Slaski, International Robomation Intelligence (United States)

Published in SPIE Proceedings Vol. 0881:
Optical Computing and Nonlinear Materials
Nasser Peyghambarian, Editor(s)

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