Stabilization of Jittery Videos Using Feature Point Matching Technique

DOI

10.2991/iccasp-16.2017.100How to use a DOI?

Keywords

Video stabilization, point feature matching, Affine Transform, FAST algorithm, s-R-t Transform, image quality measurement

Abstract

Video capturing by non-professionals will lead to unanticipated effects. such as image distortion, image blurring etc. Many researchers focused on these drawbacks to enhance the quality of videos. In this paper an algorithm based on s-R-t transform is proposed to stabilize jittery videos .A stable output video is obtained without the effect of jitter which is caused due to shaking of handheld camera during video recording. In this technique firstly, salient points from each frame from the input video are identified using FAST algorithm. Camera motion is corrected by affine transform and motion compensation is performed by s-R-t transform which gives stabilized 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.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - S. Kulkarni
AU  - D. Bormane
AU  - S. Nalbalwar
PY  - 2016/12
DA  - 2016/12
TI  - Stabilization of Jittery Videos Using Feature Point Matching Technique
BT  - Proceedings of the International Conference on Communication and Signal Processing 2016 (ICCASP 2016)
PB  - Atlantis Press
SP  - 708
EP  - 717
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccasp-16.2017.100
DO  - 10.2991/iccasp-16.2017.100
ID  - Kulkarni2016/12
ER  -