Infrared image aerial moving target detecting method

A moving target and infrared image technology, applied in the field of image processing, can solve problems such as high complexity, inapplicability to moving target detection, environmental noise sensitivity, etc., to achieve the effect of ensuring real-time and accuracy

Active Publication Date: 2018-01-09
成都空御科技有限公司
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AI Technical Summary

Problems solved by technology

[0004] At present, the main target detection algorithms include frame difference method, background difference method, optical flow method, TLD, etc. These methods have their own advantages and disadvantages. The disadvantage of the traditional frame difference method is that it is sensitive to environmental noise and is not su

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  • Infrared image aerial moving target detecting method
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[0041] In order to enable those skilled in the art to better understand the technical solutions of the present invention, the present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0042] ROI: ROI (region of interest), the region of interest. In machine vision and image processing, the area to be processed is outlined in the form of a box, circle, ellipse, irregular polygon, etc. from the processed image, which is called the region of interest.

[0043] Connected area: A connected area (Connected Component) generally refers to an image area (Region, Blob) composed of foreground pixels with the same pixel value and adjacent positions in the image. It is the same area with similar pixel values.

[0044] like figure 1 As shown, the embodiment of the present invention provides a method for detecting a moving target in the air in an infrared image, including:

[0045] S01: Acquire the grayscale image ...

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Abstract

The invention relates to the technical field of image processing, and specifically discloses an infrared image aerial moving target detecting method. According to the method, a frame difference methodis used as a basic algorithm to establish a frame difference ROI binary image model by buffering a frame difference ROI binary image; the value of the similarity of the current frame difference ROI binary image and the frame difference ROI binary image model is calculated; if the similarity value is greater than or equal to a preset similarity threshold, a screening method is used in the currentframe difference ROI binary image to detect a target; and if the similarity value is less than the preset similarity threshold, the screening method is used in the current ROI binary image to detect the target. The method solves the problem that the target is lost, which is caused by the fact that the existing target detecting method is not suitable for target detection in a moving background andthe target passes through the moving background. Moving target detecting in the moving background is real-time and accurate.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to a detection method of an infrared image moving target in the air. Background technique [0002] With the development of science and technology, the progress of society, and the improvement of living standards, the security awareness of groups and individuals is constantly increasing, and video surveillance systems have been more and more widely used. At present, it has been widely used in security monitoring, automatic monitoring and remote monitoring of systems and fields such as banks, museums, traffic roads, commerce, military, public security, electric power, factories and mines, and intelligent communities. The function of the monitoring system has also developed from simple manual monitoring of video signals, system multi-screen display and hard disk video recording to the use of computers to realize intelligent target detection and target tracking. [0003] Movin...

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Application Information

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IPC IPC(8): G06T5/30G06T5/00G06T7/33G06K9/62
Inventor 吴浩江莉陈虎
Owner 成都空御科技有限公司
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