Unmanned aerial vehicle invasion detection and identification system based on visual sense and method thereof

An intrusion detection and identification system technology, applied in image data processing, instruments, calculations, etc., can solve the problems of small effective detection area, difficult detection and discovery, and slow flight speed, so as to improve the monitoring range, good detection effect, and improve The effect of speed of recognition

Active Publication Date: 2017-08-04
ZHEJIANG UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] UAV is a typical low-slow and small target, which has the characteristics of low-altitude, ultra

Method used

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  • Unmanned aerial vehicle invasion detection and identification system based on visual sense and method thereof
  • Unmanned aerial vehicle invasion detection and identification system based on visual sense and method thereof
  • Unmanned aerial vehicle invasion detection and identification system based on visual sense and method thereof

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Embodiment Construction

[0038] The present invention will be further described below in conjunction with drawings and embodiments.

[0039] figure 1 It is a flow chart for real-time detection and positioning of the system. First, the camera collects video information, and performs real-time detection through the target detection module. If no moving target is found, continue to collect video information; to identify. If the moving target is not a UAV, continue to collect video information; if the target is a UAV, an alarm will be issued.

[0040] figure 2 Modeling and updating flowcharts for mixed Gaussian backgrounds. First, K Gaussian distributions of each pixel are initialized, and the weight is 1 / K. The value of each pixel of the first frame image is taken as the distribution mean of K mixed Gaussian models, and the covariance is taken as a larger value. At time t, a matching test is performed on each pixel of the current frame and its corresponding mixed Gaussian model. If there is a match...

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Abstract

The invention discloses an unmanned aerial vehicle invasion detection and identification system based on a visual sense and a method thereof. The system comprises a plurality of cameras, a target detection module and a target identification module. The target identification module comprises a movement track determination device, an optical flow characteristic determination device, a zooming controller and a characteristic matcher. The cameras are deployed around a monitoring area. After the target detection module detects moving targets, through track determination and optical flow characteristic determination, preliminary screening is performed on the targets and parts of non-unmanned-aerial vehicle targets are eliminated. The cameras are controlled to zoom so as to acquire a sharp image. Through a scale-invariant characteristic transform matching algorithm, matching identification is performed on the targets. In the invention, an optical detection device is adopted, a visual sense detection and identification algorithm is used, unmanned aerial vehicle invasion in a monitoring range can be rapidly and accurately detected and identified, the system and the method are suitable for places which have an anti-unmanned-aerial-vehicle demand, such as an airport, a prison and the like, and detection and identification capabilities of unmanned aerial vehicle invasion are increased.

Description

technical field [0001] The invention belongs to the field of anti-drone technology and the field of visual detection and recognition technology, and in particular relates to a vision-based UAV intrusion detection and recognition system and method. Background technique [0002] In recent years, through the continuous efforts of DJI, Parrot, 3DRobotics and other companies, the price of consumer drones with powerful functions has been continuously reduced, and the ease of operation has been continuously improved. Drones are rapidly transferring from cutting-edge military equipment to the mass market. , and become a toy in the hands of ordinary people. However, with the rapid growth of the consumer drone market, new drones with more and more advanced functions continue to emerge. Drones are widely used in various industries, bringing a lot of convenience, but also Security and privacy concerns. Accidents related to drones are on the rise, and crimes using drones are no longer ...

Claims

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Application Information

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IPC IPC(8): G06T7/246G06T7/254
CPCG06T2207/10016
Inventor 陈积明邵盼愉史治国谢伟戈史秀纺洪吉宸张玉
Owner ZHEJIANG UNIV
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