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Low-rank video background reconstructing method

A video and background technology, applied in the field of image processing, can solve the problems of lack of detail information, blurred background image, etc., to achieve the effect of increasing detail information, eliminating shadows, and improving clarity

Active Publication Date: 2012-12-12
XIDIAN UNIV
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  • Application Information

AI Technical Summary

Problems solved by technology

This method is fast, real-time, and can obtain a credible background image, but the background image obtained based on the low-rank decomposition method has shadows left by the foreground object after moving, and the reconstructed background image is blurred and lacks details

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Embodiment Construction

[0030] refer to figure 1 , the specific implementation steps of the present invention are as follows:

[0031] Step 1, input the video to be processed, and extract 200 consecutive image sequences x of size m×n from the video to be processed i ,i=1,...,200, where figure 2 is the extracted first image x 1 , image 3 is the extracted 30th image x 30 , using a median filter window of size 3×3 to image sequence x i Perform filtering to obtain the filtered image sequence

[0032] Step 2, the filtered image sequence All are pulled into columns, arranged in the order of i=1,...,200 to form high-dimensional data X∈R (m×n)×200 , where R (m×n)×200 Indicates a 2-dimensional integer matrix with m×n rows and 200 columns.

[0033] Step 3, use the low-rank decomposition algorithm to process the high-dimensional data X∈R (m×n)×200 Perform low-rank decomposition to obtain the background matrix L∈R of X (m×n)×200 and the foreground matrix S∈R (m×n)×200 .

[0034] In the above, t...

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Abstract

The invention discloses a low-rank video background reconstructing method, mainly solving the problem that a video background image cannot be clearly and reliably reconstructed when a video image sequence is subjected to background reconstruction in the prior art. The low-rank video background reconstructing method is realized by the following steps: firstly, carrying out low-rank decomposition on an input video to be processed X, so as to obtain an initial background estimation image GL; secondly, detecting a target area in the video X to be processed; setting all pixel values of the target area to be 0, and setting a first image in the video X to be processed as a reference image; using pixel values of the other images to fill the target area in the reference image, so as to obtain a background estimation image G; and finally, using a grey degree value of the initial background estimation image GL to replace the target area which is not entirely filled, so as to obtain a background image. With the adoption of the low-rank video background reconstructing method provided by the invention, when the video sequence is subjected to the background reconstruction, the clear and reliable background image can be obtained. The low-rank video background reconstructing method is applicable to the background reconstruction of the video sequence with various fixed backgrounds.

Description

technical field [0001] The invention belongs to the technical field of image processing and relates to video background reconstruction, in particular to a method for reconstructing the background in a video sequence, which can be used for background reconstruction of various videos with small background changes. Background technique [0002] Video background reconstruction is a very important and challenging research content in the field of video processing. By reconstructing the background image of the video without deviation, the moving target in the video can be accurately detected, and the real-time monitoring and target positioning of the video can be realized. At present, a lot of research work has been done on video background reconstruction at home and abroad, and many classic algorithms have been proposed. [0003] Traditional background reconstruction algorithms include mean filter method, median filter method, mode filter method, continuous frame difference method...

Claims

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Application Information

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IPC IPC(8): H04N5/14G06T7/20
Inventor 王爽焦李成季佩媛戎凯旋刘婷婷郑喆坤李源马晶晶
Owner XIDIAN UNIV
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