Robust gun detection method

A detection method and technology for guns, applied in the fields of instruments, character and pattern recognition, computer parts, etc., can solve the problems of high work intensity, hazard of missed detection, immeasurable and so on

Inactive Publication Date: 2017-01-04
SINOCLOUD WISDOM BEIJING TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

This method requires the staff to have a certain experience in image judgment, and the work intensity is high, and the judgment must be wrong. For some dangerous items such as guns, the damage must be missed. The harm is immeasurable.

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Embodiment Construction

[0046] The robust gun detection method proposed by the present invention will be further described below in conjunction with the accompanying drawings and embodiments. The following examples are only used to illustrate the present invention, but not to limit the scope of the present invention.

[0047] Such as figure 1 and figure 2 As shown, the robust gun detection method proposed by the present invention, the method has carried out effective preprocessing and target saliency detection, through color segmentation and screening of unique size features, to find candidate areas for target detection objects; the method is Design a gun classifier based on the risk of misclassification of guns and non-guns; then cascade multiple multi-layer deep learning neural networks, and finally use the candidate area to count the possibility of guns for discrimination, and finally form a complete gun detector;

[0048] In a system composed of an X-ray machine image acquisition device and a ...

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Abstract

The invention provides a robust gun detection method. According to the method, effective pretreatment and target significance detection are performed, and the candidate areas of a target detection object are searched through color segmentation and screening of specific dimension characteristics. According to the method, a gun classifier is designed based on the gun and non-gun classification error risk, then multiple multilayer deep learning neural networks are cascaded, and finally discrimination is performed by statistics of the gun possibility through the candidate areas so that finally a complete gun detector is formed. The gun detection method is great in anti-interference performance, high in real-time performance and high in identification precision.

Description

technical field [0001] The invention belongs to the technical fields of computer vision, image processing and pattern recognition, and in particular relates to a robust gun detection method. Background technique [0002] With the increasing rampant of terrorist attacks, drug trafficking, smuggling and other criminal activities around the world, the governments of various countries have continuously strengthened the monitoring of various public places (such as airports, stations, shipping terminals, convention centers, government agencies, large stadiums and port, etc.) security checks. The security inspection system in the prior art generates X-rays to penetrate the luggage to obtain an X-ray image of the luggage, and displays the X-ray image on the screen, and then the staff judges whether the luggage contains dangerous items based on experience. This method requires the staff to have a certain experience in image judgment, and the work intensity is high, and the judgment ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62
CPCG06F18/2155G06F18/241
Inventor 李新肖曦
Owner SINOCLOUD WISDOM BEIJING TECH
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