Automatic Target Recognition in Ultra-Wideband 3-D images for Concealed Weapon Detection
Conference: EUSAR 2012 - 9th European Conference on Synthetic Aperture Radar
04/23/2012 - 04/26/2012 at Nuremberg, Germany
Proceedings: EUSAR 2012
Pages: 3Language: englishTyp: PDFPersonal VDE Members are entitled to a 10% discount on this title
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.