A Central Sub-image Based Global Motion Estimation Method for In-Car Video

被引：10
|
作者：
Zhang, Yuefei [1 ]
Xie, Mei [1 ]
Tang, Dongming [2 ]
机构：
[1] Univ Elect Sci & Technol China, Sch Elect Engn, Chengdu 610054, Peoples R China
[2] Univ Elect Sci & Technol China, Sch Comp Sci & Technol, Chengdu 610054, Peoples R China
来源：
THIRD INTERNATIONAL CONFERENCE ON KNOWLEDGE DISCOVERY AND DATA MINING: WKDD 2010, PROCEEDINGS | 2010年
关键词：
Image stabilization; Global Motion Estimation; In-Car video; STABILIZER; SYSTEM;
D O I：
10.1109/WKDD.2010.112
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper presents a novel global motion estimation method based on the phase correlation of central sub-image. In this study, we consider the case that the In-Car videos are captured from the cameras placed in front of a car. The backgrounds of these In-Car videos usually vary with the moving car, which result in the inaccuracy of classical image stabilization method. As a result, a central sub-image based image stabilization method is presented in this paper. The simulation results show that the proposed method is efficient in improving the accuracy of detecting global motion vectors of In-Car videos.
引用
收藏
页码：204 / 207
页数：4
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