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Optical Engineering

Flying target detection and recognition by feature fusion
Author(s): Levente Kovács; Andrea Kovács; Ákos Utasi; Tamás Szirányi
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Paper Abstract

We present a near-real-time visual-processing approach for automatic airborne target detection and classification. Detection is based on fast and robust background modeling and shape extraction, while recognition of target classes is based on shape and texture-fused querying on a-priori built real datasets. The presented approach can be used in defense and surveillance scenarios where passive detection capabilities are preferred (or required) over a secured area or protected zone.

Paper Details

Date Published: 2 November 2012
PDF: 13 pages
Opt. Eng. 51(11) 117002 doi: 10.1117/1.OE.51.11.117002
Published in: Optical Engineering Volume 51, Issue 11
Show Author Affiliations
Levente Kovács, Computer and Automation Research Institute (Hungary)
Andrea Kovács, Computer and Automation Research Institute (Hungary)
Ákos Utasi, Computer and Automation Research Institute (Hungary)
Tamás Szirányi, Computer and Automation Research Institute (Hungary)

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