Improved visual background extraction based movement target detection method

A visual background extraction and moving target technology, applied in the field of moving target detection based on improved visual background extraction, can solve problems such as false targets and achieve the effect of increasing accuracy

Inactive Publication Date: 2015-03-04
NANJING UNIV OF SCI & TECH
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Problems solved by technology

VIBE background modeling has the advantages of simple thinking, easy implementation, and high computational efficiency. However, when there is a moving target in the initial frame of the background model or the target changes from a moving state to a long-term or even permanent static state, it is still judged as moving at this time. If the foreground does not update its background model, false targets will appear in subsequent detections, that is, ghost ghosts

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  • Improved visual background extraction based movement target detection method
  • Improved visual background extraction based movement target detection method
  • Improved visual background extraction based movement target detection method

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Embodiment Construction

[0029] Step (1), using an infrared detector or a visible light camera to collect an image, the image contains a moving target.

[0030] In step (2), if the image collected in step (1) is an RGB (red, green, and blue primary color) image, grayscale it.

[0031] Step (3), initialize the background model: extract the grayscale image collected by the infrared detector or the pixel grayscale value of the odd frame of the previous K frame image in the grayscale image obtained in step (2), and establish an image for one frame The initialized background model M(x) of each pixel in the

[0032] Among them, the pixel points of the odd frames of the first K frames in the grayscale image are extracted, and the steps of establishing the initialization background model M(x) are as follows:

[0033] For any pixel in the current frame, use the pixel gray value set of the odd frame of the first K frames of the video at the beginning of the video to establish the initialization background mode...

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Abstract

The invention discloses an improved visual background extraction based movement target detection method. The improved visual background extraction based movement target detection method comprises the following steps of establishing a background model for every pixel point of a video image; calculating the similarity of the current pixel point and the background model; classifying into backgrounds if the current pixel point and the background model are similar and classifying into foregrounds if not; selecting whether to update the background models and display a movement target or not according to the times of continuous judgment of foregrounds. The improved visual background extraction based movement target detection method can remove Ghost caused by error judgment of the backgrounds into the foregrounds.

Description

technical field [0001] The invention belongs to the technical field of image processing, in particular to a moving target detection method based on improved visual background extraction. Background technique [0002] The intelligent analysis system needs to accurately detect the moving target, so as to separate the moving target from the background image for subsequent processing. Therefore, moving object detection is the basis of many follow-up processes such as moving object tracking, and the moving object detection algorithm restricts the stability and reliability of the entire intelligent video surveillance system. [0003] At present, relatively mature moving target detection algorithms can be divided into the following three categories: optical flow method, frame difference method and background modeling method. [0004] (1) The optical flow method defines the instantaneous rate of change of the gray scale on the coordinate points of the two-dimensional image plane as...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/20
CPCG06T7/215G06T7/254G06T2207/10016
Inventor 刘磊黄伟岳超李贺孔祥宇
Owner NANJING UNIV OF SCI & TECH
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