Terahertz detection and recognition of suspicious objects hidden in the human body based on DeepLabV3+ deep learning model

Yaoyao Xue; Qiqi Li; Mingyang Jiang; Jiusheng Li

doi:10.1117/12.3005284

18 December 2023 Terahertz detection and recognition of suspicious objects hidden in the human body based on DeepLabV3+ deep learning model

Yaoyao Xue, Qiqi Li, Mingyang Jiang, Jiusheng Li

Author Affiliations +

Proceedings Volume 12960, AOPC 2023: Infrared Devices and Infrared Technology; and Terahertz Technology and Applications; 129600Q (2023) https://doi.org/10.1117/12.3005284
Event: Applied Optics and Photonics China 2023 (AOPC2023), 2023, Beijing, China

Abstract

The passive terahertz imaging human body security technology has begun to be applied in dense pedestrian flow security fields such as subways and public venues. However, passive terahertz imaging systems directly generate terahertz images, which have problems such as low signal-to-noise ratio and poor resolution. For the identification of suspicious objects hidden under human clothing, the naked eye observation method by security personnel is difficult to distinguish suspicious objects, with a high error rate and slow speed. To balance the accuracy and speed of detecting suspicious objects hidden under human clothing in security scenarios, taking into account terahertz image quality and target detection accuracy, a DeepLabV3+ deep learning model is used to detect targets, achieving object detection and recognition based on passive terahertz imaging human security systems.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Yaoyao Xue, Qiqi Li, Mingyang Jiang, and Jiusheng Li "Terahertz detection and recognition of suspicious objects hidden in the human body based on DeepLabV3+ deep learning model", Proc. SPIE 12960, AOPC 2023: Infrared Devices and Infrared Technology; and Terahertz Technology and Applications, 129600Q (18 December 2023); https://doi.org/10.1117/12.3005284

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