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

摘要

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