@inproceedings{c5a06e3bba2a480faf89d28827bad906,
title = "Automatic target recognition in ultra-wideband 3-D images for concealed weapon detection",
abstract = "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.",
author = "Xiaodong Zhuge and Alexander Yarovoy",
year = "2012",
language = "英语",
series = "Proceedings of the European Conference on Synthetic Aperture Radar, EUSAR",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "186--188",
booktitle = "EUSAR 2012; 9th European Conference on Synthetic Aperture Radar",
address = "美国",
note = "9th European Conference on Synthetic Aperture Radar, EUSAR 2012 ; Conference date: 23-04-2012 Through 26-04-2012",
}