A real-time scheme of video stabilization for mine tunnel inspectional robot

Wei Zhu*, Kejie Li, Xueshan Gao, Junyao Gao, Jize Li, Xiaolei Zhang

*此作品的通讯作者

科研成果: 书/报告/会议事项章节会议稿件同行评审

2 引用 (Scopus)

摘要

The purpose for this research is to develop a real-time video stabilization algorithm for mine tunnel inspectional robot. The inspectional robot moves violently and randomly depending on the tunnel terrain, the video flow captured from the camera bounded on the robot is affected by jitters. These jitters mean there are errors between the captured video flow and the desired video flow. These errors affect the robot operator's visual experience. In this paper, a real-time scheme of video stabilization is proposed to overcome the rotational and translational movement of video flow. In proposed scheme, the LSE analytical solution is adopted to estimate the global motion parameters through local motion vectors, and for the purpose of getting smooth video flow, the weighting least error fitting algorithm is used to smooth the video frames. Finally, the experimental results show the effectiveness of this scheme.

源语言英语
主期刊名2007 IEEE International Conference on Robotics and Biomimetics, ROBIO
出版商IEEE Computer Society
702-705
页数4
ISBN(印刷版)9781424417582
DOI
出版状态已出版 - 2007
活动2007 IEEE International Conference on Robotics and Biomimetics, ROBIO - Yalong Bay, Sanya, 中国
期限: 15 12月 200718 12月 2007

出版系列

姓名2007 IEEE International Conference on Robotics and Biomimetics, ROBIO

会议

会议2007 IEEE International Conference on Robotics and Biomimetics, ROBIO
国家/地区中国
Yalong Bay, Sanya
时期15/12/0718/12/07

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