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 Citations (Scopus)

Abstract

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
Title of host publicationDigest of Technical Papers - IEEE International Conference on Consumer Electronics
Pages416-417
Number of pages2
DOIs
Publication statusPublished - 2012 Mar 29
Event2012 IEEE International Conference on Consumer Electronics, ICCE 2012 - Las Vegas, NV, United States
Duration: 2012 Jan 132012 Jan 16

Other

Other2012 IEEE International Conference on Consumer Electronics, ICCE 2012
CountryUnited States
CityLas Vegas, NV
Period12/1/1312/1/16

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Industrial and Manufacturing Engineering

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  • Cite this

    Kang, S. J., Wang, T. S., Kim, D. H., Morales, A., & Ko, S-J. (2012). Video stabilization based on motion segmentation. In Digest of Technical Papers - IEEE International Conference on Consumer Electronics (pp. 416-417). [6161955] https://doi.org/10.1109/ICCE.2012.6161955