Moving target detection method and device, storage medium and terminal equipment

A moving target and detection method technology, applied in the field of image processing, can solve the problems of poor moving target detection effect, no use of neighborhood pixel information, etc., and achieve the effect of improving the detection effect

Pending Publication Date: 2020-12-18
普联国际有限公司
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  • Abstract
  • Description
  • Claims
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Problems solved by technology

However, compared with the ViBe method, the Gaussian mixture model method also has shortcomings. The Gaussian mixture model is determined by the timing change

Method used

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  • Moving target detection method and device, storage medium and terminal equipment
  • Moving target detection method and device, storage medium and terminal equipment
  • Moving target detection method and device, storage medium and terminal equipment

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Embodiment Construction

[0033] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0034] An embodiment of the present invention provides a moving target detection method, see figure 1 Shown is a flowchart of a preferred embodiment of a moving target detection method provided by the present invention, the method includes steps S11 to S14:

[0035] Step S11, acquiring the t+1th frame image to be detected; wherein, t>0;

[0036] Step S12, judging according to the preset Gaussian mixture model whether each pixel on the t+1th frame image satisfies the

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Abstract

The invention discloses a moving target detection method and device, a storage medium and terminal equipment. The method comprises the following steps: acquiring a (t+1)th frame of image to be detected; judging whether each pixel point on the (t+1)th frame of image meets a first matching condition and a second matching condition or not according to a preset Gaussian mixture model, wherein the first matching condition is used for judging whether the deviation between the pixel value of each pixel point and the mean value of any corresponding background component is smaller than a first deviation threshold value or not, and the second matching condition is used for judging whether the number of the neighborhood pixel points of which the deviation between the pixel values and the mean value of any corresponding background component is smaller than a second deviation threshold value is greater than a number threshold value or not in the neighborhood pixel set of each pixel point; if the first matching condition and the second matching condition are not met, judging that the corresponding pixel point is a foreground; and obtaining a moving target area on the (t+1)th frame of image according to all the pixel points judged as the foreground. According to the invention, the field pixel information of the pixel points can be combined, and the detection effect of moving target detectionis improved.

Description

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Claims

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Application Information

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Owner 普联国际有限公司
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