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Proceedings Paper

Software development tools for implementing vision systems on multiprocessors
Author(s): Alok Choudhary; Sanjay Ranka
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Paper Abstract

A methodology and supporting software tools for obtaining insight and quantitative measures on the accuracy of ATC (automatic target cueing) algorithms are described. Algorithm accuracy is characterized by trade-off curves in which selected performance measures are plotted against each other over a range of algorithm operating points. Performance trade-off curves determined as a function of critical sensor, target and background parameters allow algorithm sensitivity issues to be investigated and provide a basis for evaluating algorithm accuracy effects in the context of specific missions. The evaluation process is founded on an ATC experiment design which defines a challenging but representative "cut" through the multidimensional scenario space associated with the mission under consideration. The experiment design is included in a written test plan which documents the mechanics of the evaluation process and specifies the amount and type of imagery that will be made available for algorithm development and evaluation. tolls for placing confidence bounds on hypothetical algorithm performance trade-off curves provide a basis for addressing the statistical data adequacy issue in relation to the experiment design.

Paper Details

Date Published: 1 April 1991
PDF: 14 pages
Proc. SPIE 1406, Image Understanding in the '90s: Building Systems that Work, (1 April 1991); doi: 10.1117/12.47979
Show Author Affiliations
Alok Choudhary, Syracuse Univ. (United States)
Sanjay Ranka, Syracuse Univ. (United States)

Published in SPIE Proceedings Vol. 1406:
Image Understanding in the '90s: Building Systems that Work
Brian T. Mitchell, Editor(s)

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