Concealed weapon detection using UWB 3-D radar imaging and automatic target recognition

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.