Video stabilization based on motion segmentation

Seok Jae Kang, Tae Shick Wang, Dae Hwan Kim, Aldo Morales, Sung Jea Ko

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

12 Scopus citations


This paper presents a new approach for video stabilization based on motion segmentation. The performance of video stabilization depends on the accuracy of the global motion. However, the scenes with large depth variation yield the performance degradation. In the proposed method, the feature points are detected and tracked, and their displacements are examined over the two adjacent frames. Motion segmentation is performed based on the similarity of the feature point displacements. The global motion is finally estimated using the feature points with the dominant motion which are located in similar depth ranges in most cases. Experimental results show that the proposed method provides the superior performance of video stabilization over the conventional method.

Original languageEnglish (US)
Title of host publication2012 IEEE International Conference on Consumer Electronics, ICCE 2012
Number of pages2
StatePublished - 2012
Event2012 IEEE International Conference on Consumer Electronics, ICCE 2012 - Las Vegas, NV, United States
Duration: Jan 13 2012Jan 16 2012

Publication series

NameDigest of Technical Papers - IEEE International Conference on Consumer Electronics
ISSN (Print)0747-668X


Other2012 IEEE International Conference on Consumer Electronics, ICCE 2012
Country/TerritoryUnited States
CityLas Vegas, NV

All Science Journal Classification (ASJC) codes

  • Industrial and Manufacturing Engineering
  • Electrical and Electronic Engineering


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