Real-time video stabilization based on fast block matching and improved Kalman filter

Mobile devices become widely used as their easily handling whereas unpleasant shaking effect comes along inevitably in the recorded sequences. This paper presents a robust real-time video stabilization algorithm applying fast block matching and an improved kalman filter. Key block picking and hierar...

Full description

Saved in:
Bibliographic Details
Published inFifth International Conference on Intelligent Control and Information Processing pp. 394 - 397
Main Authors Lengyi Li, Xiaohong Ma, Zheng Zhao
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.08.2014
Subjects
Cameras
Jitter
Kalman filters
Real-time systems
Robustness
Streaming media
Vectors
Online AccessGet full text
ISBN1479936499
9781479936496
DOI10.1109/ICICIP.2014.7010285

Cover

More Information
Summary:Mobile devices become widely used as their easily handling whereas unpleasant shaking effect comes along inevitably in the recorded sequences. This paper presents a robust real-time video stabilization algorithm applying fast block matching and an improved kalman filter. Key block picking and hierarchical searching improve the efficiency of the motion estimation section to make the method available for real-time application, meanwhile the proposed improved kalman filter outstands by preserving the initiative camera scanning while removing unwanted jitters properly at the same time adaptively. Theoretical analysis and practical experimental results demonstrate the effectiveness and robustness of the proposed method even if large scale of panning motion effect exists.
ISBN:1479936499
9781479936496
DOI:10.1109/ICICIP.2014.7010285