AI-Based W-Band Suspicious Object Detection System for Moving Persons Using GAN: Solutions, Performance Evaluation and Standardization Activities

研究成果: Conference contribution

1 被引用数 (Scopus)

抄録

With the intensification of conflicts in different regions, the W-band suspicious object detection system is an essential security means to prevent terrorist attacks and is widely used in many crucial places such as airports. Because artificial intelligence can perform highly reliable and accurate services in the field of image recognition, it is used in suspicious object detection systems to increase the recognition rate for suspicious objects. However, it is challenging to establish a complete suspicious object database, and obtaining sufficient millimeter-wave images of suspicious objects from experiments for AI training is not realistic. To address this issue, this paper verifies the feasibility to generate a large number of millimeter-wave images for AI training by generative adversarial networks. Moreover, we also evaluate the factors that affect the AI recognition rate when the original images used for CNN training are insufficient and how to increase the service quality of AI-based W-band suspicious object detection systems for moving persons. In parallel, all the international standardization organizations have been collectively advancing the novel technologies of AI. We update the reader with information about AI research and standardization related activities in this paper.

本文言語English
ホスト出版物のタイトル2020 ITU Kaleidoscope
ホスト出版物のサブタイトルIndustry-Driven Digital Transformation, ITU K 2020
出版社Institute of Electrical and Electronics Engineers Inc.
ISBN(電子版)9789261313913
DOI
出版ステータスPublished - 2020 12 7
イベント12th ITU Kaleidoscope: Industry-Driven Digital Transformation, ITU K 2020 - Virtual, Ha Noi, Viet Nam
継続期間: 2020 12 72020 12 11

出版物シリーズ

名前2020 ITU Kaleidoscope: Industry-Driven Digital Transformation, ITU K 2020

Conference

Conference12th ITU Kaleidoscope: Industry-Driven Digital Transformation, ITU K 2020
国/地域Viet Nam
CityVirtual, Ha Noi
Period20/12/720/12/11

ASJC Scopus subject areas

  • 技術マネージメントおよび技術革新管理
  • 人工知能
  • コンピュータ ネットワークおよび通信
  • 情報システム
  • 情報システムおよび情報管理
  • 産業および生産工学

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