Proceedings of the International Conference on Communication and Signal Processing 2016 (ICCASP 2016)

Stabilization of Jittery Videos Using Feature Point Matching Technique

Authors
S. Kulkarni, D. Bormane, S. Nalbalwar
Corresponding Author
S. Kulkarni
Available Online December 2016.
DOI
https://doi.org/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.
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This is an open access article distributed under the CC BY-NC license.

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Proceedings
International Conference on Communication and Signal Processing 2016 (ICCASP 2016)
Part of series
Advances in Intelligent Systems Research
Publication Date
December 2016
ISBN
978-94-6252-305-0
DOI
https://doi.org/10.2991/iccasp-16.2017.100How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

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  - International Conference on Communication and Signal Processing 2016 (ICCASP 2016)
PB  - Atlantis Press
UR  - https://doi.org/10.2991/iccasp-16.2017.100
DO  - https://doi.org/10.2991/iccasp-16.2017.100
ID  - Kulkarni2016/12
ER  -