DocumentCode
2639112
Title
Long-time video stabilization using point-feature trajectory smoothing
Author
Ryu, Yeon Geol ; Roh, Hyun Chul ; Chung, Myung Jin
Author_Institution
Dept. of Electr. Eng., KAIST, Daejeon, South Korea
fYear
2011
fDate
9-12 Jan. 2011
Firstpage
189
Lastpage
190
Abstract
This paper presents a new video stabilization algorithm for digital video cameras. The proposed technique directly estimates correction motion through point-feature trajectories, so that our method can be free from the error accumulation as time goes on. Furthermore, an adaptive RANSAC is proposed to estimate a robust correction motion. Experimental results show that the proposed algorithm can robustly stabilize very long videos in the end.
Keywords
motion estimation; smoothing methods; video cameras; video signal processing; adaptive RANSAC; correction motion estimation; digital video cameras; long-time video stabilization; point-feature trajectory smoothing; Cameras; Estimation; Robustness; Smoothing methods; Tracking; Trajectory; Video sequences;
fLanguage
English
Publisher
ieee
Conference_Titel
Consumer Electronics (ICCE), 2011 IEEE International Conference on
Conference_Location
Las Vegas, NV
ISSN
2158-3994
Print_ISBN
978-1-4244-8711-0
Type
conf
DOI
10.1109/ICCE.2011.5722532
Filename
5722532
Link To Document