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Method for integrating background model and three-frame difference to detect video background

A three-frame difference and background model technology, applied in the information field, can solve the problems of poor adaptability, weak suppression, and low efficiency of sudden changes in background content, and achieve low computational efficiency, high judgment accuracy, and division appropriate effect

Inactive Publication Date: 2012-09-12
华凯易佰科技股份有限公司
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  • Application Information

AI Technical Summary

Problems solved by technology

[0006] The purpose of the present invention is to provide a method for video background detection by combining a background model and three-frame difference, which can not only overcome the redundancy and inefficiency of modeling with a single pixel in the traditional Gaussian background modeling method , and combined with the three-frame difference can overcome the shortcomings of the Gaussian model's weak suppression of noise and poor adaptability to sudden changes in background content

Method used

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  • Method for integrating background model and three-frame difference to detect video background
  • Method for integrating background model and three-frame difference to detect video background
  • Method for integrating background model and three-frame difference to detect video background

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Embodiment Construction

[0024] Embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0025] The method for video background detection by combining the background model and three-frame difference of the present invention will be described in detail below with reference to the accompanying drawings.

[0026] Such as figure 1 Shown is the control flow chart of the present invention, mainly comprises the following steps: divide image block for each frame of image; Set up the mixed Gaussian background model based on image block; Utilize three-frame difference to carry out further judgment for the image block that does not match with background model; According to the results of the background model and the three-frame difference, it is judged whether each image block is a foreground block or a background block. The following is a detailed introduction.

[0027] Divide image blocks for each frame of image

[0028] In the algorithm, each i...

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Abstract

The invention discloses a method by integrating background model and three-frame difference to detect video background, which is characterized by comprising that: each frame image is divided into image blocks; an image block-based mixed Guass background model is established; the image block which is unmatched with the background model is further judged by three-frame difference way; and each image block is judged to be a foreground block or a background block according to the results of the background model and the three-frame difference. Through the method, not only the weakness of the traditional method that the system execution efficiency is low because the background model is established in a form of a single pixel can be overcome, but also a simple and effectively judging method is adopted to judge whether the macro block belongs to a foreground block or a background block, the calculation complexity is low, and the detection is correct.

Description

technical field [0001] The invention relates to the field of information technology, in particular to a method for video background detection by combining a background model and three-frame difference. Background technique [0002] Detecting dynamic objects from a video sequence is the primary and basic task of video surveillance. At present, many tracking systems rely on background extraction technology to detect moving objects, that is, compare the current input image frame with the reference background model, and judge the pixel according to the deviation degree of the pixel value of the current frame from the background model. Whether it is the target pixel or the background pixel. Those pixels that are considered to be objects are then further processed to identify the object, determine its location, and enable tracking. [0003] Background extraction techniques are widely used in tracking systems such as video surveillance. Many methods for constructing background m...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04N5/14
Inventor 罗笑南孟思明陆晴
Owner 华凯易佰科技股份有限公司
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