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    Omnidirectional video stabilisation on a virtual camera using sensor fusion

    151027_151027.pdf (5.504Mb)
    Access Status
    Open access
    Authors
    Albrecht, Thomas
    Tan, Tele
    West, Geoffrey
    Ly, T.
    Date
    2010
    Type
    Conference Paper
    
    Metadata
    Show full item record
    Citation
    Albrecht, Thomas and Tan, Tele and West, Geoff A.W. and Ly, Thanh. 2010. Omnidirectional video stabilisation on a virtual camera using sensor fusion, in C. Wen (ed), 2010 11th International Conference on Control, Automation, Robotics and Vision (ICARCV 2010), Dec 7 2010, pp. 2067-2072. Singapore: IEEE Computer Society.
    Source Title
    11th International Conference on Control, Automation, Robotics and Vision
    Source Conference
    2010 11th International Conference on Control, Automation, Robotics and Vision (ICARCV 2010)
    ISBN
    9781424478156
    School
    Department of Computing
    Remarks

    Copyright © 2010 IEEEThis material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.

    URI
    http://hdl.handle.net/20.500.11937/25230
    Collection
    • Curtin Research Publications
    Abstract

    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.

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