DocumentCode
3310245
Title
Edge based adaptive Kalman filtering for real-time video stabilization
Author
Kwon, Ohyun ; Shin, Jeongho ; Paik, Joonki
Author_Institution
Dept. of Image Eng., Chung-Ang Univ., Seoul, South Korea
fYear
2006
fDate
7-11 Jan. 2006
Firstpage
75
Lastpage
76
Abstract
Image stabilization, particularly during zoom-in is an important feature in consumer cameras. Existing methods to stabilize an image often make an incorrect motion vector by an improper choice of motion estimation or correction method. The proposed algorithm is simple and effective; it is suitable for low cost camcorders, digital cameras, CCTV, surveillance video systems, and television broadcasting systems.
Keywords
adaptive Kalman filters; cameras; motion estimation; stability; video signal processing; CCTV; camcorders; consumer cameras; digital cameras; edge based adaptive Kalman filtering; image stabilization; motion estimation; real-time video stabilization; surveillance video systems; television broadcasting systems; Adaptive filters; Costs; Digital cameras; Digital video broadcasting; Filtering; Kalman filters; Motion estimation; Surveillance; TV; Video equipment;
fLanguage
English
Publisher
ieee
Conference_Titel
Consumer Electronics, 2006. ICCE '06. 2006 Digest of Technical Papers. International Conference on
Print_ISBN
0-7803-9459-3
Type
conf
DOI
10.1109/ICCE.2006.1598317
Filename
1598317
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