Digital Image Stabilization Using a Functional Neural Fuzzy Network

被引：0
|
作者：
Wu, Chi-Feng [1 ]
Lin, Cheng-Jian [2 ]
Shiue, Yu-Jia [2 ]
Lee, Chi-Yung [3 ]
机构：
[1] Wenzao Ursuline Coll Languages, Dept Informat Management & Commun, Kaohsiung, Taiwan
[2] Natl Chin Yi Univ Technol, Dept Comp Sci & Informat Engn, Taichung, Taiwan
[3] Nankai Univ Technol, Dept Comp Sci & Informat Engn, Nantou, Taiwan
来源：
PROCEEDINGS OF THE 2011 2ND INTERNATIONAL CONGRESS ON COMPUTER APPLICATIONS AND COMPUTATIONAL SCIENCE, VOL 1 | 2012年 / 144卷
关键词：
VIDEO STABILIZATION;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This study proposed a real-time video stabilization method to eliminate the unwanted shakes, preserve the intended panning of camera, and improve the stability of the captured video sequence. The proposed method uses a functional neuro-fuzzy network to learn the phenomena of different shakes and then it chooses adequate compensation weight for two different methods to calculate the compensated motion vector. Experimental results show that the proposed method has superior performance than other motion compensation methods.
引用
收藏
页码：231 / +
页数：2
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