Omnidirectional video stabilisation on a virtual camera using sensor fusion

This paper presents a method for robustly stabilising omnidirectional video given the presence of significantrotations and translations by creating a virtual camera and using a combination of sensor fusion and scene tracking. Real time rotational movements of the camera are measured by an Inertial M...

Full description

Bibliographic Details
Main Authors: Albrecht, Thomas, Tan, Tele, West, Geoffrey, Ly, T.
Other Authors: C. Wen
Format: Conference Paper
Published: IEEE Computer Society 2010
Subjects:
Online Access:http://hdl.handle.net/20.500.11937/25230
_version_ 1848751651143286784
author Albrecht, Thomas
Tan, Tele
West, Geoffrey
Ly, T.
author2 C. Wen
author_facet C. Wen
Albrecht, Thomas
Tan, Tele
West, Geoffrey
Ly, T.
author_sort Albrecht, Thomas
building Curtin Institutional Repository
collection Online Access
description This paper presents a method for robustly stabilising omnidirectional video given the presence of significantrotations and translations by creating a virtual camera and using a combination of sensor fusion and scene tracking. Real time rotational movements of the camera are measured by an Inertial Measurement Unit (IMU), which provides an initial estimate of the ego-motion of the camera platform. Image registration is then used to refine these estimates. The calculated ego-motion is then used to adjust an extract of the omnidirectional video, forming a virtual camera that is focused on the scene. Experiments show the technique is effective under challenging ego-motions and overcomes deficiencies that are associated with unimodal approaches making it robust and suitable to be used in many surveillance applications.
first_indexed 2025-11-14T07:56:07Z
format Conference Paper
id curtin-20.500.11937-25230
institution Curtin University Malaysia
institution_category Local University
last_indexed 2025-11-14T07:56:07Z
publishDate 2010
publisher IEEE Computer Society
recordtype eprints
repository_type Digital Repository
spelling curtin-20.500.11937-252302017-01-30T12:47:24Z Omnidirectional video stabilisation on a virtual camera using sensor fusion Albrecht, Thomas Tan, Tele West, Geoffrey Ly, T. C. Wen Virtual Camera Sensor Fusion Omnivision Active Vision Camera Stabilisation This paper presents a method for robustly stabilising omnidirectional video given the presence of significantrotations and translations by creating a virtual camera and using a combination of sensor fusion and scene tracking. Real time rotational movements of the camera are measured by an Inertial Measurement Unit (IMU), which provides an initial estimate of the ego-motion of the camera platform. Image registration is then used to refine these estimates. The calculated ego-motion is then used to adjust an extract of the omnidirectional video, forming a virtual camera that is focused on the scene. Experiments show the technique is effective under challenging ego-motions and overcomes deficiencies that are associated with unimodal approaches making it robust and suitable to be used in many surveillance applications. 2010 Conference Paper http://hdl.handle.net/20.500.11937/25230 IEEE Computer Society fulltext
spellingShingle Virtual Camera
Sensor Fusion
Omnivision
Active Vision
Camera Stabilisation
Albrecht, Thomas
Tan, Tele
West, Geoffrey
Ly, T.
Omnidirectional video stabilisation on a virtual camera using sensor fusion
title Omnidirectional video stabilisation on a virtual camera using sensor fusion
title_full Omnidirectional video stabilisation on a virtual camera using sensor fusion
title_fullStr Omnidirectional video stabilisation on a virtual camera using sensor fusion
title_full_unstemmed Omnidirectional video stabilisation on a virtual camera using sensor fusion
title_short Omnidirectional video stabilisation on a virtual camera using sensor fusion
title_sort omnidirectional video stabilisation on a virtual camera using sensor fusion
topic Virtual Camera
Sensor Fusion
Omnivision
Active Vision
Camera Stabilisation
url http://hdl.handle.net/20.500.11937/25230