Shape and texture fused recognition of flying targets

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.

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Flying target detection and recognition by feature fusion

Kovács

Utasi

et al. 2012

Opt. Eng

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Shape and texture fused recognition of flying targets

Cited by 1 publication

References 21 publications

Flying target detection and recognition by feature fusion

Flying target detection and recognition by feature fusion

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