DocumentCode
2232193
Title
A novel approach for video stabilization
Author
Abraham, Sherin C. ; Thomas, Maria Renu ; Basheer, Raisa ; Anurenjan, P.R.
Author_Institution
Dept. of Electron. & Commun., Coll. of Eng., Thiruvananthapuram, Thiruvananthapuram, India
fYear
2011
fDate
22-24 Sept. 2011
Firstpage
134
Lastpage
137
Abstract
This paper presents the gray-coded bit plane matching algorithm for video stabilization. For improving the performance, Kalman filtering is used. Using GC-BPM algorithm, the unwanted motion of image frames are estimated. Then Kalman filtering is used for smoothening this undesired motion vectors. The stabilized video so obtained is quite qualitatively acceptable. The simulation results using MATLAB is also presented.
Keywords
Kalman filters; motion estimation; video signal processing; GC-BPM algorithm; Kalman filtering; MATLAB; gray-coded bit plane matching algorithm; image frame unwanted motion estimation; undesired motion vectors; video stabilization; Current measurement; Equations; Kalman filters; Mathematical model; Streaming media; Vectors; ITF; bit plane matching; kalman filter; video stabilisation;
fLanguage
English
Publisher
ieee
Conference_Titel
Recent Advances in Intelligent Computational Systems (RAICS), 2011 IEEE
Conference_Location
Trivandrum
Print_ISBN
978-1-4244-9478-1
Type
conf
DOI
10.1109/RAICS.2011.6069288
Filename
6069288
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