Video Stabilization Using Feature Point Matching

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Abstract

Video capturing by non-professionals will lead to unanticipated effects. Such as image distortion, image blurring etc. Hence, many researchers study such drawbacks to enhance the quality of videos. In this paper an algorithm is proposed to stabilize jittery videos. A stable output video will be attained without the effect of jitter which is caused due to shaking of handheld camera during video recording. Firstly, salient points from each frame from the input video is identified and processed followed by optimizing and stabilize the video. Optimization includes the quality of the video stabilization. This method has shown good result in terms of stabilization and it discarded distortion from the output videos recorded in different circumstances.

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Kulkarni, S., Bormane, D. S., & Nalbalwar, S. L. (2017). Video Stabilization Using Feature Point Matching. In Journal of Physics: Conference Series (Vol. 787). Institute of Physics Publishing. https://doi.org/10.1088/1742-6596/787/1/012017

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