Mahshid Asri;Rahul Chowdhury;Allison Care;David Femi Lamptey;Ann Morgenthaler;Octavia Camps;Carey M. Rappaport
{"title":"利用深度学习对毫米波雷达图像上的隐蔽物体进行像素级定位","authors":"Mahshid Asri;Rahul Chowdhury;Allison Care;David Femi Lamptey;Ann Morgenthaler;Octavia Camps;Carey M. Rappaport","doi":"10.1109/TRS.2024.3476411","DOIUrl":null,"url":null,"abstract":"Automatic detection and localization of anomalies on radar images of personnel taken at the airport security checkpoints is a necessary step of having an end-to-end automatic threat detection algorithm. This article presents two deep learning-based solutions for pixel-wise localization of body-worn anomalies. The trained 2-D and semi-supervised U-Net models can accurately detect and localize foreign objects on all body regions by producing anomaly and body masks for each input radar image.","PeriodicalId":100645,"journal":{"name":"IEEE Transactions on Radar Systems","volume":"2 ","pages":"1027-1035"},"PeriodicalIF":0.0000,"publicationDate":"2024-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Pixel-Wise Localization of Concealed Objects on Millimeter-Wave Radar Images Using Deep Learning\",\"authors\":\"Mahshid Asri;Rahul Chowdhury;Allison Care;David Femi Lamptey;Ann Morgenthaler;Octavia Camps;Carey M. Rappaport\",\"doi\":\"10.1109/TRS.2024.3476411\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Automatic detection and localization of anomalies on radar images of personnel taken at the airport security checkpoints is a necessary step of having an end-to-end automatic threat detection algorithm. This article presents two deep learning-based solutions for pixel-wise localization of body-worn anomalies. The trained 2-D and semi-supervised U-Net models can accurately detect and localize foreign objects on all body regions by producing anomaly and body masks for each input radar image.\",\"PeriodicalId\":100645,\"journal\":{\"name\":\"IEEE Transactions on Radar Systems\",\"volume\":\"2 \",\"pages\":\"1027-1035\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-10-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE Transactions on Radar Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://ieeexplore.ieee.org/document/10707336/\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Radar Systems","FirstCategoryId":"1085","ListUrlMain":"https://ieeexplore.ieee.org/document/10707336/","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Pixel-Wise Localization of Concealed Objects on Millimeter-Wave Radar Images Using Deep Learning
Automatic detection and localization of anomalies on radar images of personnel taken at the airport security checkpoints is a necessary step of having an end-to-end automatic threat detection algorithm. This article presents two deep learning-based solutions for pixel-wise localization of body-worn anomalies. The trained 2-D and semi-supervised U-Net models can accurately detect and localize foreign objects on all body regions by producing anomaly and body masks for each input radar image.
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