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 :
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