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A study on Real-time Graphic User Interface for Hidden Target Segmentation  

Yeom, Seokwon (School of Computer and Communication Engineering, Daegu University)
Publication Information
Journal of the Institute of Convergence Signal Processing / v.17, no.2, 2016 , pp. 67-70 More about this Journal
Abstract
This paper discusses a graphic user interface(GUI) for the concealed target segmentation. The human subject hiding a metal gun is captured by the passive millimeter wave(MMW) imaging system. The imaging system operates on the regime of 8 mm wavelength. The MMW image is analyzed by the multi-level segmentation to segment and identify a concealed weapon under clothing. The histogram of the passive MMW image is modeled with the Gaussian mixture distribution. LBG vector quantization(VQ) and expectation and maximization(EM) algorithms are sequentially applied to segment the body and the object area. In the experiment, the GUI is implemented by the MFC(Microsoft Foundation Class) and the OpenCV(Computer Vision) libraries and tested in real-time showing the efficiency of the system.
Keywords
Passive Millimeter Wave Imaging; Concealed Target Segmentation; Graphic User Interface (GUI);
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