1 June 1994 Optical correlation filter fusion for object detection
Author Affiliations +
Optical Engineering, 33(6), (1994). doi:10.1117/12.171567
Abstract
We consider the detection of candidate objects (regions of interest) in a scene containing high clutter, multiple objects in different classes, independent of aspect view, with hot, cold, bimodal, and partial object variations and with high and low contrast targets. We use three different filters with each designed to produce high probability of detection (PD). We fuse the results from different outputs to reduce the probability of false alarms (PFA). All filters are realizable on an optical correlator.
David P. Casasent, Anqi Ye, John Scott Smokelin, Roland H. Schaefer, "Optical correlation filter fusion for object detection," Optical Engineering 33(6), (1 June 1994). http://dx.doi.org/10.1117/12.171567
JOURNAL ARTICLE
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KEYWORDS
Detection and tracking algorithms

Databases

Target detection

Image filtering

Optical filters

Binary data

Linear filtering

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