A detection method for moving objects in the air in visible light images

Abstract

The invention relates to the technical field of image processing, and specific embodiments disclose a method for detecting a moving object in the air of a visible light image. This method obtains the ROI gray image of the current frame by setting the ROI frame on the gray image of the Nth frame, and performs image preprocessing, image binarization processing, image binary inversion processing and image expansion on the current frame ROI gray image. After processing, use the screening method to screen the connected regions to obtain the target image, which solves the problem that the traditional target detection method is not suitable for the target detection in the moving background and the target is lost when the target passes through the moving background, and ensures the moving target in the moving background. Real-time and accuracy of detection.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to a method for detecting a moving object in the air of a visible light image. 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 the original 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 t...

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 suitable for the detection of moving targets. , the disadvantage of the background difference method is that it is particularly sensitive to changes in dynamic scenes, such as lighting and interference from external irrelevant events, and other algorithms are complex to use, and it is difficult to guarantee real-time performance

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