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Real-time outdoor concealed-object detection with passive millimeter wave imaging.

Seokwon Yeom¹, Dong-Su Lee, Jung-Young Son

¹Division of Computer and Communication Engineering, Daegu University, Gyeongsan, Gyeongbuk 712-714, Korea 2SamsungThales, Yongin 449-885, Korea. yeom@daegu.ac.kr

|March 4, 2011

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This study presents a passive millimeter wave imaging system for real-time detection of concealed objects, like guns, on moving people outdoors. The system uses advanced segmentation techniques for fast and reliable identification.

Area of Science:

Applied physics
Computer vision
Electromagnetics

Background:

Millimeter wave imaging is increasingly used in security for concealed object detection.
Passive imaging systems offer stand-off sensing capabilities for open environments.

Purpose of the Study:

To develop and evaluate a real-time outdoor concealed-object detection and segmentation system.
To utilize W-band radiometric imaging for enhanced security screening.

Main Methods:

A passive W-band (94 GHz) radiometric imaging system with a dielectric lens and receiver array was employed.
Multilevel segmentation, including vector quantization, expectation-maximization, and Bayesian decision making with Gaussian mixture models, was used for image analysis.
A simplified segmentation approach using only vector quantization was also investigated.

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Tracking Infiltration Front Depth Using Time-lapse Multi-offset Gathers Collected with Array Antenna Ground Penetrating Radar

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Published on: May 1, 2018

Main Results:

The proposed methods demonstrated fast and reliable detection and segmentation of concealed objects.
Successful identification of a concealed gun on a moving human subject was achieved.
The system proved effective for real-time outdoor security applications.

Conclusions:

The developed millimeter wave imaging system provides an effective solution for real-time outdoor concealed object detection.
The segmentation techniques employed are crucial for accurate identification and localization of threats.
This technology holds significant promise for enhancing security screening in various environments.