A novel algorithm for detection and classification of 3D objects in high-resolution microwave radar images for security screening purposes is proposed. To detect and automatically recognize concealed objects a computer vision approach is applied. A three-step detection procedure based on SIFT, Histogram thresholding and matched filtering is developed for 3D image processing. This novel procedure has proved to be capable of detecting and classifying a set of objects which are likely to be carried by an individual at an airport security checkpoint.
Concealed Weapon Detection Using UWB 3-D Radar Imaging and Automatic Target Recognition / Carrer, L; Yarovoy, Ag. - (2014), p. 2786. (Intervento presentato al convegno European Conference on Antennas and Propagation tenutosi a The Hague, Netherlands nel 06-11 April 2014) [10.1109/EuCAP.2014.6902403].
Concealed Weapon Detection Using UWB 3-D Radar Imaging and Automatic Target Recognition
Carrer, L;
2014-01-01
Abstract
A novel algorithm for detection and classification of 3D objects in high-resolution microwave radar images for security screening purposes is proposed. To detect and automatically recognize concealed objects a computer vision approach is applied. A three-step detection procedure based on SIFT, Histogram thresholding and matched filtering is developed for 3D image processing. This novel procedure has proved to be capable of detecting and classifying a set of objects which are likely to be carried by an individual at an airport security checkpoint.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione
