Video foreground and background separation method and system

A technology of foreground and background separation and video, applied in the field of video processing, can solve the problems of increased difficulty in video processing, low accuracy, weak anti-noise, etc., and achieve good video foreground and background separation effect, excellent effect, and strong anti-noise ability Effect

Pending Publication Date: 2021-10-01
NANJING COLLEGE OF INFORMATION TECH
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] In the past ten years, the Principal Component Pursuit (PCP) method has been widely used as a robust principal component analysis method in video foreground and background separation applications, but there are problems such as large amount of calculation, low accuracy and weak anti-noise. shortcoming
In the actual environment, changes in weather and lighting and technical limitations of sensors often cause video to be corroded by factors such as noise, which increases the difficulty of video processing

Method used

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  • Video foreground and background separation method and system
  • Video foreground and background separation method and system
  • Video foreground and background separation method and system

Examples

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Effect test

Embodiment 1

[0021] A video foreground and background separation method collects video information; inputs the collected video information into a robust principal component analysis model based on robust Gaussian scale mixture and generalized kernel norm, and extracts corresponding video foreground and video background.

[0022] Such as figure 1 As shown, firstly, a robust principal component analysis model based on robust Gaussian scale mixture and generalized kernel norm is constructed; secondly, the robust PCA model based on robust Gaussian scale mixture and generalized kernel norm is Stick principal component analysis model to solve; Finally, the video foreground and background separation method based on robust Gaussian scale mixture and generalized kernel norm proposed in this embodiment is applied to video foreground and background separation, through the extracted visual effects of foreground and background The robust anti-noise advantage of a video foreground and background separat...

Embodiment 2

[0060] Based on the video foreground and background separation method described in Embodiment 1, this embodiment provides a video foreground and background separation system, including: a collection module for collecting video information; a foreground and background separation module for inputting the collected video information into the construction The robust principal component analysis model based on robust Gaussian scale mixture and generalized kernel norm extracts the corresponding video foreground and video background.

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Abstract

The invention discloses a video foreground and background separation method and system in the technical field of video processing. The method comprises the following steps: collecting video information; and inputting the acquired video information into the constructed robust principal component analysis model based on robust Gaussian scale mixing and generalized nuclear norms, and extracting a corresponding video foreground and a corresponding video background. The invention includes describing a sparse foreground in the video by adopting a Gaussian scale mixed function; describing a low-rank background in the video by adopting a generalized nuclear norm with relatively good approximation; introducing a noise item into the method to model the noise in the nature, so that the anti-noise robustness of the method is enhanced. The invention has the advantages that the foreground and background separation effect of the video is better, the extracted foreground is clearer, the contour is more complete, and the anti-noise capability is high; the invention is applied to video foreground and background separation, and it is proved that the video foreground and background separation method based on robust Gaussian scale mixing and generalized nuclear norms has the good video foreground and background separation effect and the anti-noise advantage.

Description

technical field [0001] The invention belongs to the technical field of video processing, and in particular relates to a video foreground and background separation method and system. Background technique [0002] In the past ten years, the Principal Component Pursuit (PCP) method, as a robust principal component analysis method, has been widely used in video foreground and background separation applications, but there are problems such as large amount of calculation, low accuracy and weak anti-noise. shortcoming. In the actual environment, changes in weather and lighting and technical limitations of sensors often cause video to be corroded by factors such as noise, which increases the difficulty of video processing. Contents of the invention [0003] In order to solve the deficiencies in the prior art, the present invention provides a video foreground and background separation method and system, which has the characteristics of better effect of video foreground and backgro...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/194G06F17/16
CPCG06T7/194G06F17/16G06T2207/10016
Inventor 杨永鹏吴宇豪李建林武文扬时光文彦珺
Owner NANJING COLLEGE OF INFORMATION TECH
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