Video Object Segmentation Algorithm Based on Background Reconstruction and Its Application

FAN Xiao-cong; LI Da-hai; WANG Qiong-hua; LIU Xi; ZHANG Ying-quan; LIU Xiao-yong

doi:10.3788/YJYXS20112602.0229

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Video Object Segmentation Algorithm Based on Background Reconstruction and Its Application

Table of contents | 更新时间：2020-08-12

- Video Object Segmentation Algorithm Based on Background Reconstruction and Its Application
- Chinese Journal of Liquid Crystals and Displays Vol. 26, Issue 2, Pages: 229-233(2011)
- 作者机构：
  
  四川大学电子信息学院,四川成都,中国,610065
- 作者简介：
- 基金信息：
- DOI：10.3788/YJYXS20112602.0229
  CLC： TN911.73;TP391.4
- Received：17 November 2010，
  
  Revised：09 December 2010，
  
  Published Online：06 April 2011，
  
  Published：06 April 2011
- 稿件说明：
移动端阅览
范小聪, 李大海, 王琼华, 刘曦, 张映权, 刘效勇. 基于背景重构的视频分割技术及应用[J]. 液晶与显示, 2011,26(2): 229-233

FAN Xiao-cong, LI Da-hai, WANG Qiong-hua, LIU Xi, ZHANG Ying-quan, LIU Xiao-yong. Video Object Segmentation Algorithm Based on Background Reconstruction and Its Application[J]. , 2011,26(2): 229-233
范小聪, 李大海, 王琼华, 刘曦, 张映权, 刘效勇. 基于背景重构的视频分割技术及应用[J]. 液晶与显示, 2011,26(2): 229-233 DOI： 10.3788/YJYXS20112602.0229.

FAN Xiao-cong, LI Da-hai, WANG Qiong-hua, LIU Xi, ZHANG Ying-quan, LIU Xiao-yong. Video Object Segmentation Algorithm Based on Background Reconstruction and Its Application[J]. , 2011,26(2): 229-233 DOI： 10.3788/YJYXS20112602.0229.

摘要

针对背景静止的立体视频提出了一种快速的基于背景重构的视频分割算法。先利用帧差法分别确定出左右视频的前景运动区域

再重构出该区域的背景图像

最后

通过视频图像和背景图像的对比来准确地提取运动前景。然后

先匹配左右图像序列的背景图像

并保存它们的匹配结果

再分别对各立体图像对的运动前景进行匹配。采用该方法将立体视频分割可以减少图像数据的传输量和储存空间;同时

视频分割之后再做匹配运算

减少了立体匹配的时间。

Abstract

A fast video segmentation algorithm based on background reconstruction is proposed for stereo video with static backgrounds. Firstly

the moving foreground areas are found out by the frame difference respectively. And then

the backgrounds shaded by foreground areas are reconstructed. At last

the moving foregrounds could be separated by comparing the backgrounds information with the current frame images and it could achieve the segmentation accurately. After that

two background images reconstructed from the left and right video sequences are matched in the initialization and the parallax image is saved

so that only the foreground parallax images are necessary to be updated. Therefore

the proposed method can improve image compression ratio and reduce storage. Meanwhile

the time for stereo matching is also decreased.

关键词

Keywords

references

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