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A Hybrid Motion Estimation for Video Stabilization Based on an IMU Sensor
Recorded video data must be clear for accuracy and faster analysis during post-processing, which often requires video stabilization systems to remove undesired motion. In this paper, we proposed a hybrid method to estimate the motion and to stabilize videos by the switching function. This method swi...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6111248/ https://www.ncbi.nlm.nih.gov/pubmed/30126143 http://dx.doi.org/10.3390/s18082708 |
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author | Auysakul, Jutamanee Xu, He Pooneeth, Vishwanath |
author_facet | Auysakul, Jutamanee Xu, He Pooneeth, Vishwanath |
author_sort | Auysakul, Jutamanee |
collection | PubMed |
description | Recorded video data must be clear for accuracy and faster analysis during post-processing, which often requires video stabilization systems to remove undesired motion. In this paper, we proposed a hybrid method to estimate the motion and to stabilize videos by the switching function. This method switched the estimated motion between a Kanade–Lucus–Tomasi (KLT) tracker and an IMU-aided motion estimator. It facilitated the best function to stabilize the video in real-time as those methods had numerous advantages in estimating the motion. To achieve this, we used a KLT tracker to correct the motion for low rotations and an IMU-aided motion estimator for high rotation, owing to the poor performance of the KLT tracker during larger movements. Furthermore, a Kalman filter was used to remove the undesired motion and hence smoothen the trajectory. To increase the frame rate, a multi-threaded approach was applied to execute the algorithm in the array. Irrespective of the situations exposed to the experimental results of the moving camera from five video sequences revealed that the proposed algorithm stabilized the video efficiently. |
format | Online Article Text |
id | pubmed-6111248 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-61112482018-08-30 A Hybrid Motion Estimation for Video Stabilization Based on an IMU Sensor Auysakul, Jutamanee Xu, He Pooneeth, Vishwanath Sensors (Basel) Article Recorded video data must be clear for accuracy and faster analysis during post-processing, which often requires video stabilization systems to remove undesired motion. In this paper, we proposed a hybrid method to estimate the motion and to stabilize videos by the switching function. This method switched the estimated motion between a Kanade–Lucus–Tomasi (KLT) tracker and an IMU-aided motion estimator. It facilitated the best function to stabilize the video in real-time as those methods had numerous advantages in estimating the motion. To achieve this, we used a KLT tracker to correct the motion for low rotations and an IMU-aided motion estimator for high rotation, owing to the poor performance of the KLT tracker during larger movements. Furthermore, a Kalman filter was used to remove the undesired motion and hence smoothen the trajectory. To increase the frame rate, a multi-threaded approach was applied to execute the algorithm in the array. Irrespective of the situations exposed to the experimental results of the moving camera from five video sequences revealed that the proposed algorithm stabilized the video efficiently. MDPI 2018-08-17 /pmc/articles/PMC6111248/ /pubmed/30126143 http://dx.doi.org/10.3390/s18082708 Text en © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Auysakul, Jutamanee Xu, He Pooneeth, Vishwanath A Hybrid Motion Estimation for Video Stabilization Based on an IMU Sensor |
title | A Hybrid Motion Estimation for Video Stabilization Based on an IMU Sensor |
title_full | A Hybrid Motion Estimation for Video Stabilization Based on an IMU Sensor |
title_fullStr | A Hybrid Motion Estimation for Video Stabilization Based on an IMU Sensor |
title_full_unstemmed | A Hybrid Motion Estimation for Video Stabilization Based on an IMU Sensor |
title_short | A Hybrid Motion Estimation for Video Stabilization Based on an IMU Sensor |
title_sort | hybrid motion estimation for video stabilization based on an imu sensor |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6111248/ https://www.ncbi.nlm.nih.gov/pubmed/30126143 http://dx.doi.org/10.3390/s18082708 |
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