Flying target detection and recognition by feature fusion

Levente Kovács, Andrea Kovács, Ákos Utasi, Tamás Szirányi

Research output: Contribution to journalReview article

6 Citations (Scopus)

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.

Original languageEnglish
Article number117002
JournalOptical Engineering
Volume51
Issue number11
DOIs
Publication statusPublished - Nov 1 2012

Keywords

  • Classification
  • Object segmentation
  • Target detection

ASJC Scopus subject areas

  • Atomic and Molecular Physics, and Optics
  • Engineering(all)

Fingerprint Dive into the research topics of 'Flying target detection and recognition by feature fusion'. Together they form a unique fingerprint.

  • Cite this