Title :
Concealed weapon detection using UWB 3-D radar imaging and automatic target recognition
Author :
Carrer, Leonardo ; Yarovoy, A.G.
Author_Institution :
EWI, Tech. Univ. Delft, Delft, Netherlands
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.
Keywords :
Fourier transforms; airports; computer vision; computerised instrumentation; image classification; image resolution; image segmentation; image sensors; matched filters; microwave imaging; object detection; radar detection; radar imaging; security; ultra wideband radar; weapons; 3D image processing; 3D object classification; 3D object detection; SIFT; UWB 3D radar imaging; airport security checkpoint; automatic target recognition; computer vision approach; concealed object recognition; concealed weapon detection; high-resolution microwave radar imaging; histogram thresholding; matched filtering; security screening purpose; three-step detection procedure; Histograms; Image segmentation; Microwave filters; Microwave imaging; Radar imaging; Automated Target Recongnition; Concealed Weapon Detection; UWB imaging;
Conference_Titel :
Antennas and Propagation (EuCAP), 2014 8th European Conference on
Conference_Location :
The Hague
DOI :
10.1109/EuCAP.2014.6902403
