Feature-based real-time video stabilization for vehicle video recorder system

被引：0
|
作者：
Wu-Chih Hu
Chao-Ho Chen
Yi-Jen Su
Tzu-Hsing Chang
机构：
[1] National Penghu University of Science and Technology,Department of Computer Science and Information Engineering
[2] National Kaohsiung University of Applied Sciences,Department of Electronic Engineering
[3] Shu-Te University,Department of Computer Science and Information Engineering
来源：
Multimedia Tools and Applications | 2018年 / 77卷
关键词：
Video stabilization; Moving camera; Optical flow; Feature point;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
This paper presents a fast and effective method based on features to obtain real-time video stabilization for vehicle video recorder system. The corresponding feature points are first obtained from two consecutive frames and then optical flows are calculated based on these points. Next, the obtained optical flows are mapped to polar coordinates to obtain clusters and remove incorrect optical flows. These obtained clusters are used to evaluate the global motion and rotation angle. Finally, the obtained global motion and rotation angle are smoothed and then compensated to obtain the stabilized video. Experimental results show that the proposed method has good performance for video stabilization.
引用
收藏
页码：5107 / 5127
页数：20
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