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Automatic Target Recognition (ATR) technology is of great significance in security inspection, while traditional object detection methods are proved not efficient in human body millimeter-wave images. In this paper, we propose a synthetic objection detection method for millimeter-wave images. We choose saliency, SIFT and HOG features to form image descriptors. According to sparse representation, the...
Automatic target recognition is a significant function of millimeter-wave body scanner. Based on the principle of saliency and sparse coding, this paper proposes a new method for millimeter-wave body image processing and recognition. According to the characteristics such as shape, texture and gray level of the millimeter wave image, the method realizes automatic recognition for concealed objects....
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