Video Stabilization Algorithm Based on Background Feature Points Matching

Shu Jiao Ji; Ming Zhu; Yan Min Lei

doi:10.4028/www.scientific.net/AMM.738-739.690

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 738-739Video Stabilization Algorithm Based on Background...

Video Stabilization Algorithm Based on Background Feature Points Matching

Abstract:

Global motion estimation between two successive frames is important to the process of video stabilization. In the proposed approach, the estimation of global motion was based on the background feature points (BFPS). First, feature points (FPS) were collected from the input video by FAST operator; second, feature point’s descriptor and matching were based on FREAK operator.The M-SAC is used to classify the BFPS. Last, the six parameters of the affine transform model to calculate the interframe motion estimation vector. The experiment results show that he proposed method can stabilize inter-frame jitter, in the meanwhile, it improve the video quality effectively.

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Periodical:

Applied Mechanics and Materials (Volumes 738-739)

Pages:

690-693

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.738-739.690

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Cite this paper

Online since:

March 2015

Authors:

Shu Jiao Ji*, Ming Zhu, Yan Min Lei

Keywords:

Background Feature Points, Feature Matching, Motion Compensation, Video Image Stabilization

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* - Corresponding Author

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