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

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

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publication2007 IEEE International Conference on Robotics and Biomimetics, ROBIO
PublisherIEEE Computer Society
Pages702-705
Number of pages4
ISBN (Print)9781424417582
DOIs
Publication statusPublished - 2007
Event2007 IEEE International Conference on Robotics and Biomimetics, ROBIO - Yalong Bay, Sanya, China
Duration: 15 Dec 200718 Dec 2007

Publication series

Name2007 IEEE International Conference on Robotics and Biomimetics, ROBIO

Conference

Conference2007 IEEE International Conference on Robotics and Biomimetics, ROBIO
Country/TerritoryChina
CityYalong Bay, Sanya
Period15/12/0718/12/07

Keywords

  • LSE analytical solution
  • Video stabilization

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