2 November 2012 Flying target detection and recognition by feature fusion
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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.
© 2012 Society of Photo-Optical Instrumentation Engineers (SPIE)
Levente Kovács, Andrea Kovács, Ákos Utasi, Tamás Szirányi, "Flying target detection and recognition by feature fusion," Optical Engineering 51(11), 117002 (2 November 2012). https://doi.org/10.1117/1.OE.51.11.117002 . Submission:
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