|Table of Contents|

Background Extraction and Updating Based on Improved Gaussion Mixture Model(PDF)

南京师范大学学报（工程技术版）[ISSN:1006-6977/CN:61-1281/TN]

Issue:
2015年02期
Page:
60-
Research Field:
计算机与信息工程
Publishing date:

Info

Title:
Background Extraction and Updating Based on Improved Gaussion Mixture Model
Author(s):
Wang Dan; Liu Huai
School of Electrical and Automation Engineering,Nanjing Normal University,Nanjing 210042,China
Keywords:
gaussion mixture model; background extraction; updating ratios
PACS:
TP391
DOI:
-
Abstract:
The new algorithm that can alter the background updating ratio is presented in this paper in order to adapt the case that background may change and decrease its execution time. Firstly,the algorithm simplifies the traditional Gaussion mixture model. Then it partitions the image and different updating ratios are employed for different areas to update the background. In addition,the algorithm can also change the updating ratio when the background changes suddenly. The experiment shows that the algorithm presented in this paper can extract the background from sequence images quickly and accurately and it can also adapt to the case that the background change suddenly.

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Last Update: 2015-06-20