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Suspicious article automatic detection method based on millimeter wave images

An automatic detection and millimeter-wave technology, applied in the field of millimeter-wave images, can solve the problems of low detection accuracy, achieve high detection accuracy, and suppress false alarms

Inactive Publication Date: 2020-02-21
BEIJING INST OF RADIO METROLOGY & MEASUREMENT
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0006] The purpose of the present invention is to provide a method for automatic detection of suspicious items based on millimeter wave images, so as to solve the problem of low detection accuracy of suspicious item detection methods based on millimeter wave images in the prior art

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  • Suspicious article automatic detection method based on millimeter wave images
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  • Suspicious article automatic detection method based on millimeter wave images

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Embodiment Construction

[0055] In order to explain the present invention more clearly, the present invention will be further described below in conjunction with preferred embodiments and drawings. Similar components in the drawings are denoted by the same reference numerals. Those skilled in the art should understand that the content described below is illustrative rather than restrictive, and should not limit the protection scope of the present invention.

[0056] The embodiment of the invention discloses a method for automatically detecting suspicious objects based on millimeter wave images, including:

[0057] S1: Use millimeter wave cylindrical scanning system to scan suspicious items to generate two-dimensional imaging pictures;

[0058] Millimeter wave cylindrical scanning system such as figure 2 As shown, a person stands in the system and stays still, transmits broadband signals through a rotating radar scanning array, receives signals reflected by the human body, and performs a series of signal pr...

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Abstract

The embodiment of the invention discloses a suspicious article automatic detection method based on a millimeter wave image. The method comprises the following steps: S1, scanning a suspicious articleby using a millimeter wave cylindrical scanning system so as to generate a two-dimensional imaging picture; S2, processing the two-dimensional imaging picture; S3, generating a target detection network model based on the processed two-dimensional imaging picture; S4, based on the target detection network model, detecting the suspicious article to be detected under multiple perspectives. A cylindrical scanning array is adopted, human body imaging results at multiple angles are obtained, texture or noise can be further distinguished through continuous angle observation, and false alarms are effectively suppressed; and detection results at all angles are jointly judged, so that the detection precision is relatively high.

Description

Technical field [0001] The invention relates to the field of millimeter wave images, in particular to a method for automatically detecting suspicious objects based on millimeter wave images. Background technique [0002] Millimeter waves can penetrate clothing, image the surface of the human body, and are harmless to the human body. It can effectively detect suspicious objects such as pistols, explosives, liquids, etc. hidden on the surface of the human body. Therefore, millimeter wave imaging technology has become the security inspection field in recent years. Research hotspots. Among them, the active human body security inspection system is widely used because of its advantages such as being less affected by environmental factors and high image signal-to-noise ratio. [0003] Deep neural networks play an important role in the field of image target detection. They have end-to-end characteristics. After proper training, deep neural networks can learn the deep features of suspiciou...

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Application Information

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IPC IPC(8): G06K9/00G01V8/10
CPCG01V8/10G06V20/52G06V2201/05
Inventor 姜元崔婧王威张璐郭洧华
Owner BEIJING INST OF RADIO METROLOGY & MEASUREMENT