Fast Image Stitching For Video Stabilization Using Sift Feature Points 


Vol. 39,  No. 10, pp. 957-966, Oct.  2014


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  Abstract

Video Stabilization For Vehicular Applications Is An Important Method Of Removing Unwanted Shaky Motions From Unstable Videos. In This Paper, An Improved Video Stabilization Method With Image Stitching Has Been Proposed. Scale Invariant Feature Transform (Sift) Matching Is Used To Calculate The New Position Of The Points In Next Frame. Image Stitching Is Done In Every Frame To Get Stabilized Frames To Provide Stable Video As Well As A Better Understanding Of The Previous Frame’S Position And Show The Surrounding Objects Together. The Computational Complexity Of Sift (Scale-Invariant Feature Transform) Is Reduced By Reducing The Sift Descriptors Size And Resticting The Number Of Keypints To Be Extracted. Also, A Modified Matching Procedure Is Proposed To Improve The Accuracy Of The Stabilization.

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  Cite this article

[IEEE Style]

M. M. Hossain, H. Lee, J. Lee, "Fast Image Stitching For Video Stabilization Using Sift Feature Points," The Journal of Korean Institute of Communications and Information Sciences, vol. 39, no. 10, pp. 957-966, 2014. DOI: .

[ACM Style]

Mostafiz Mehebuba Hossain, Hyuk-Jae Lee, and Jaesung Lee. 2014. Fast Image Stitching For Video Stabilization Using Sift Feature Points. The Journal of Korean Institute of Communications and Information Sciences, 39, 10, (2014), 957-966. DOI: .

[KICS Style]

Mostafiz Mehebuba Hossain, Hyuk-Jae Lee, Jaesung Lee, "Fast Image Stitching For Video Stabilization Using Sift Feature Points," The Journal of Korean Institute of Communications and Information Sciences, vol. 39, no. 10, pp. 957-966, 10. 2014.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880