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Efficient Video Stabilization Technique for Hand Held Mobile Videos
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- 발행기관
- 보안공학연구지원센터(IJSIP) 바로가기
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- 간행물
- International Journal of Signal Processing, Image Processing and Pattern Recognition 바로가기
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- 통권
- Vol.6 No.3 (2013.06)바로가기
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- 페이지
- pp.17-32
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- 저자
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- 언어
- 영어(ENG)
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- URL
- https://www.earticle.net/Article/A208900
※ 원문제공기관과의 협약기간이 종료되어 열람이 제한될 수 있습니다.
원문정보
초록
- 영어
- Majority of the videos that have been captured by mobile cameras are suffering from low quality due to either low end manufacturing designs or complicated operating environments and untrained users. Thus videos taken by hand held mobile cameras tend to suffer from different undesired slow motions that cause annoying shaky motion and jitter. It is desirable to stabilize the video sequence by removing the undesired motion between the successive frames. Current methods are applicable to only specific camera motion models; hence having limitation to process gorse motion. In this paper an efficient video stabilization algorithm for hand held camera videos has been proposed. The proposed algorithm uses differential global motion estimation with Taylor series expansion to improve the estimation efficiency. Affine motion model has been assumed to define the inter-frame error between consecutive frames. Motion vectors have been estimated analytically by solving the derivatives of the inter-frame error. After motion estimation Gaussian kernel filtering has been used to smoothen out estimated motion parameters. Inverse rotation smoothening has been applied to remove the rotation effect from the smoothed transformation chain. This has led to reduced accumulation error and minimizes the missing image area significantly. The performance of the proposed algorithm has been tested on real time videos and compared with existing algorithm.
목차
Abstract
1. Introduction
2. Reviews of Video Stabilization Algorithms
3. Proposed Video Stabilization Algorithm
3.1. Motion Estimation
3.2. Motion Smoothening
4. Results and Discussion
5. Conclusion
Acknowledgements
References
키워드
Video stabilization differential motion estimation Taylor series expansion Gaussian Kernel filtering motion smoothing저자
간행물 정보
발행기관
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- 발행기관명
- 보안공학연구지원센터(IJSIP) [Science & Engineering Research Support Center, Republic of Korea(IJSIP)]
- 설립연도
- 2006
- 분야
- 공학>컴퓨터학
- 소개
- 1. 보안공학에 대한 각종 조사 및 연구 2. 보안공학에 대한 응용기술 연구 및 발표 3. 보안공학에 관한 각종 학술 발표회 및 전시회 개최 4. 보안공학 기술의 상호 협조 및 정보교환 5. 보안공학에 관한 표준화 사업 및 규격의 제정 6. 보안공학에 관한 산학연 협동의 증진 7. 국제적 학술 교류 및 기술 협력 8. 보안공학에 관한 논문지 발간 9. 기타 본 회 목적 달성에 필요한 사업
간행물
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- 간행물명
- International Journal of Signal Processing, Image Processing and Pattern Recognition
- 간기
- 격월간
- pISSN
- 2005-4254
- 수록기간
- 2008~2016
- 십진분류
- KDC 505 DDC 605
이 권호 내 다른 논문 / International Journal of Signal Processing, Image Processing and Pattern Recognition Vol.6 No.3
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