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Hand Held Mobile Video Stabilization Using Differential Motion Estimation

  • Paresh Rawat
  • Jyoti Singhai
Conference paper
Part of the Advances in Intelligent and Soft Computing book series (AINSC, volume 131)

Abstract

The hand held mobile cameras suffer from different undesired slow motions during the scene capturing time. It is required to stabilize the video sequence by removing the undesired motion between the successive frames. Most of the existing methods are either very complex or does not perform well for slow and smooth motion of hand held mobile videos. In this paper a modified video stabilization algorithm for hand held camera videos is proposed which uses bicubic interpolation with Taylor series expansion to improve the estimation efficiency of the hierarchical differential global motion estimation. After motion estimation Gaussian kernel filtering is used to smoothen out estimated motion parameters. Then Inverse rotation smoothening is applied to remove the rotation effect from the stabilized transform chain. This reduces the accumulation error and minimizes missing image area significantly. The performance of the proposed algorithm is tested on various real time videos and also compared with existing algorithm.

Keywords

Video stabilization differential motion estimation Interpolation Taylor series expansion Gaussian kernel filtering motion smoothing 

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Copyright information

© Springer India Pvt. Ltd. 2012

Authors and Affiliations

  1. 1.Deptt. of Electronics & Communication Engg.Truba I.E.I.TBhopalIndia
  2. 2.Deptt. of Electronics EngineeringMANITBhopalIndia

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