A UAV detection method in harsh environment

A technology for harsh environments and detection methods, applied in computer components, image analysis, image enhancement, etc., can solve the problems of difficulty in detecting drones, difficult implementation of regulatory measures, and inability to accurately detect drones , to achieve the effect of improving the realizability

Active Publication Date: 2022-07-19
北京理工雷科电子信息技术有限公司
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Problems solved by technology

[0003] Although the country has introduced regulatory measures for drones, these regulatory measures are not easy to implement. In harsh environments, it is more difficult to detect drones. Traditional detection algorithms cannot accurately detect drones in harsh environments. Man-machine, so it is necessary to study the algorithm and application of UAV detection in harsh environments, which can also provide a basis for future operations such as UAV tracking

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  • A UAV detection method in harsh environment
  • A UAV detection method in harsh environment
  • A UAV detection method in harsh environment

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Embodiment 1

[0048] With the rapid development and expansion of the unmanned aerial vehicle industry, the management of the unmanned aerial vehicle has also become a major problem. The invention provides a detection method of the unmanned aerial vehicle in a harsh environment, which can detect the unmanned aerial vehicle by means of image processing. It makes it easier and more convenient for people to find drones, and quickly make corresponding processing:

[0049] A UAV detection method in harsh environments, refer to figure 1 The flow chart of , taking the UAV flying in the actual scene as an example, to carry out the experiment, the specific implementation steps are as follows:

[0050] Step 1: Use the camera to capture the video containing the drone scene, process the video and obtain N frames of images, each frame image size is more than 1080 × 720 pixels, and the first frame and the second frame image, such as image 3 shown;

[0051] Step 2: Use all the images processed in Step 1...

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Abstract

The invention provides a method for detecting unmanned aerial vehicles in harsh environments: a camera is used to collect videos of unmanned aerial vehicles in harsh environments, and the videos are processed to obtain N frames of images; background modeling is performed according to all the images to obtain a background model; Background model: The N frame images are subjected to background segmentation to obtain an image with the background model removed, and then the UAV in the image is identified by comparing the Euclidean distance between the targets of the two images before and after and setting the confidence level. The invention detects the unmanned aerial vehicle by means of image processing, so that people can find the unmanned aerial vehicle more quickly and conveniently, and make corresponding processing quickly.

Description

technical field [0001] The invention belongs to the technical field of UAV detection, and in particular relates to a UAV detection method in a harsh environment. Background technique [0002] In recent years, with the development of drone technology, its application has gradually expanded from the research of scholars to commercial fields such as film shooting, large-scale event shooting, and real estate. In order to cater to the market, civilian drones have developed rapidly, and the number of users buying drones has also increased exponentially. However, drones will bring security risks to airports and other places, especially in harsh environments (such as foggy days, etc.), and the hidden dangers are even greater. . However, users rarely care. Although the state stipulates no-fly areas, there are still people who do not abide by the regulations. [0003] Although the country has introduced regulatory measures for drones, these regulatory measures are not easy to implem...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06V20/17G06T7/00G06T7/187G06T7/194
CPCG06T7/0002G06T7/187G06T7/194G06T2207/10016G06T2207/20036G06T2207/20224G06V20/13G06V2201/07
Inventor 陈天明常佳佳董安冉赵艳霞
Owner 北京理工雷科电子信息技术有限公司
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