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Foreground target detection method under complex scene of hydraulic engineering

A technology for complex scenes and water conservancy projects, applied in the field of water conservancy project detection, can solve problems that have not been seen in relevant reports, achieve good real-time and practicality, improve the level of security protection automation, and improve the effect of detection efficiency

Active Publication Date: 2020-08-11
YELLOW RIVER ENG CONSULTING
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Therefore, how to use computer vision technology and digital image processing technology to detect the movement state of objects in the currently monitored area through real-time analysis of the video of the water conservancy project, so as to judge whether there is an abnormal situation in the currently monitored area, is a research topic for those skilled in the art. topics, but no relevant reports have been seen so far

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  • Foreground target detection method under complex scene of hydraulic engineering
  • Foreground target detection method under complex scene of hydraulic engineering
  • Foreground target detection method under complex scene of hydraulic engineering

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Embodiment Construction

[0024] The embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings. This embodiment is implemented on the premise of the technical solution of the present invention, and detailed implementation methods and specific operating procedures are provided, but the scope of protection of the present invention is not limited to the following Described embodiment.

[0025] Such as figure 1 As shown, the foreground target detection method under the complex water conservancy engineering scene of the present invention comprises the following steps:

[0026] S1, delineate the monitoring area and image noise reduction preprocessing:

[0027] S11. Obtain the first frame image of the video stream of the demarcated monitoring area, delineate a polygonal area by clicking on the first frame image, and use the circumscribed rectangular area of ​​the polygonal area as the monitoring area;

[0028] S12. In order to reduce noise interfere...

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Abstract

The invention discloses a foreground target detection method in a complex scene of a water conservancy project. The method comprises the following steps: S1, defining a monitoring area and carrying out image noise reduction preprocessing; S2, performing image background modeling and graphic operation processing; and S3, adopting the accumulated foreground image. The method has the advantages thatcompared with traditional manual inspection and pure video monitoring, the method can effectively utilize a large number of monitoring devices and monitoring video images, the labor cost is reduced, and the overall safety protection automation level of a water conservancy project site is improved; and 2, the accumulated foreground image is adopted, so that the influence of environmental noise on aforeground target detection result is reduced to a certain extent, false alarms are reduced, and the detection efficiency is improved.

Description

technical field [0001] The invention relates to a water conservancy project detection method, in particular to a foreground target detection method in a complex water conservancy project scene. Background technique [0002] The traditional supervision on the site of water conservancy projects is mainly manual. Due to the changeable site conditions, the labor cost of the inspection is large, and the manual inspection is time-consuming and labor-intensive, and it is prone to omissions. There are serious lags and hidden dangers in the work. At present, video monitoring equipment is used in some areas to realize real-time monitoring and remote control of water conservancy projects, so as to reduce the cost of manual inspections, but there is no quantitative analysis of video monitoring data, only simple manual video monitoring, which not only wastes video Data resources also cannot effectively monitor the information on the evolution of dangerous situations. [0003] In the co...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/207G06T5/00G06T5/30
CPCG06T7/207G06T5/30G06T2207/10016G06T5/70Y02A90/30
Inventor 安新代宋克峰李毅男谢向文聂海滨
Owner YELLOW RIVER ENG CONSULTING
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