Concealed Weapon Detection in a Human Body by Infrared Imaging

The detection of weapon concealed underneath a persons cloths is very much important for the security of the public as well as the safety of public assets like airports, buildings, and railway stations etc. The goal is to develop an automatic detection and recognition system of concealed weapons using sensor technologies and image processing. The goal of this paper is to present the Concealed Weapon Detection method by infrared imaging (IR). Normal image is the human perception vision, whereas the IR image produces the information about concealed weapon. Fusion of normal and IR image gives the relevant information of these two images. Segmentation is applied for fused image using Adaptive K-means clustering to clearly distinguish the concealed weapon from the surrounding. The detected Concealed Weapon will be fit into the bounding box.