Far infrared security and protection monitoring method based on an extreme learning machine

An ultra-limited learning machine and security monitoring technology, which is applied in the computer field and can solve problems such as poor imaging effect and potential safety hazards.

Inactive Publication Date: 2019-04-19
哈工大机器人(山东)智能装备研究院
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Visible light imaging technology and computer vision technology are quite mature, but due to the defects of visible light itself, the imaging effect of the imaging system is poor in harsh environments such as night, rainy days, and haze.
Traditional security monitoring methods based on visible light have potential safety hazards in unattended nights, so it is necessary to develop a set of far-infrared security monitoring methods for harsh weather environments such as night

Method used

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  • Far infrared security and protection monitoring method based on an extreme learning machine
  • Far infrared security and protection monitoring method based on an extreme learning machine
  • Far infrared security and protection monitoring method based on an extreme learning machine

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Embodiment Construction

[0038] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments It is a part of embodiments of the present invention, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0039] A far-infrared security monitoring method based on an extreme learning machine provided by this embodiment, the flow chart is as follows figure 1 As shown, it specifically includes the following steps:

[0040] (1) Establish a far-infrared image dataset, including two types of pedestrians and non-pedestrians (also known as positive an...

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PUM

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Abstract

The invention provides a far infrared security monitoring method based on an extreme learning machine. through Data acquisition and Extraction of characteristic values, pedestrian detection can be carried out in real time, the method is especially suitable for monitoring at night or under the haze condition, manpower is greatly saved, and the operation benefit and safety are improved for reducingthe cost.

Description

technical field [0001] The invention relates to the field of computer technology, in particular to a far-infrared security monitoring method based on an extreme learning machine. Background technique [0002] With the rapid development of related technologies such as computer vision, security intelligent monitoring and security fields, there are more and more occasions that require intelligent monitoring. Visible light imaging technology and computer vision technology are quite mature, but due to the defects of visible light itself, the imaging effect of the imaging system is poor in harsh environments such as night, rainy days, and haze. Traditional security monitoring methods based on visible light have potential safety hazards in unattended nights. Therefore, it is necessary to develop a far-infrared security monitoring method for harsh weather environments such as nighttime. Contents of the invention [0003] Aiming at the defects in the prior art, the present inventi...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/32G06K9/46G06K9/62
CPCG06V40/10G06V40/20G06V10/255G06V10/462G06F18/217
Inventor 吕慧褚博权五云刘宝龙彭川川潘丽桦
Owner 哈工大机器人(山东)智能装备研究院
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