Robust global motion estimation for video stabilization

Tae Shick Wang, Seok Jae Kang, Keun Yung Byun, Tae Chan Kim, Sung Jea Ko

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Global motion estimation is an important task for video stabilization. Since the global motion is heavily related to the motion of the background (BG), the moving foreground (FG) objects can cause inaccurate global motion estimation. In this paper, we propose a robust global motion estimation method for video stabilization. The proposed method iteratively finds the feature points (FPs) in the BG and estimates the global motion using the BG FPs. The experimental results show that the proposed method can estimate the global motion even when the moving FG objects occupy a large part of image.

Original languageEnglish
Title of host publication1st IEEE Global Conference on Consumer Electronics 2012, GCCE 2012
Pages623-624
Number of pages2
DOIs
Publication statusPublished - 2012
Event1st IEEE Global Conference on Consumer Electronics, GCCE 2012 - Tokyo, Japan
Duration: 2012 Oct 22012 Oct 5

Publication series

Name1st IEEE Global Conference on Consumer Electronics 2012, GCCE 2012

Other

Other1st IEEE Global Conference on Consumer Electronics, GCCE 2012
CountryJapan
CityTokyo
Period12/10/212/10/5

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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