Automatic Target Recognition in Ultra-Wideband 3-D images for Concealed Weapon Detection

Konferenz: EUSAR 2012 - 9th European Conference on Synthetic Aperture Radar
23.04.2012 - 26.04.2012 in Nuremberg, Germany

Tagungsband: EUSAR 2012

Seiten: 3Sprache: EnglischTyp: PDF

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Zhuge, Xiaodong; Yarovoy, Alexander (Delft University of Technology, the Netherlands)

Possibility to use computer vision in order to replace human operators in ultra-wideband (UWB) security screening systems is investigated. A target recognition technique for 3-D UWB images is introduced. Spatial spectrumbased features extracted from 3-D UWB images are used for object classification. An artificial neural network to recognize patterns of 3-D spatial frequencies of concealed weapons is developed and trained. The feasibility of developing a practical automated detection algorithm for UWB 3-D imaging systems is demonstrated experimentally.