Moving Camera Video Stabilization Based on Kalman Filter and Least Squares Fitting

被引：0

作者：

Yu, Huan ^{[1
]}

Zhang, Wenhui ^{[1
]}

机构：

[1] CUC, Informat Engn Sch, Beijing, Peoples R China

来源：

2014 11TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION (WCICA) | 2014年

关键词：

video stabilization; moving camera; Kalman filter; least squares fitting;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In order to remove the jitter of digital video recorded by moving camera, this paper adopted Kalman filtering algorithm and least squares fitting algorithm to remove the motion of unwanted jitter and retain the motion of moving camera. Then we compared the two algorithms through experiments. Experimental results showed that both algorithms had good stabilization effects to smooth videos recorded by moving cameras and they can be applied in different occasions.

引用

页码：5956 / 5961

页数：6

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