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
Link To Document :
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