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    Multiple Views Tracking of Maritime Targets

    152559_152559.pdf (6.171Mb)
    Access Status
    Open access
    Authors
    Albrecht, Thomas
    West, Geoffrey
    Tan, Tele
    Date
    2010
    Type
    Conference Paper
    
    Metadata
    Show full item record
    Citation
    Albrecht, Thomas and West, Geoffrey A.W. and Tan, Tele. 2010. Multiple Views Tracking of Maritime Targets, in Zhang, J. and Shen, C. and Geers, G. and Wu, Q. (ed), 2010 International Conference on Digital Image Computing: Techniques and Applications (DICTA 2010), Dec 1 2010, pp. 302-307. Sydney, NSW: IEEE.
    Source Title
    2010 International Conference on Digital Image Computing: Techniques and Applications (DICTA 2010)
    Source Conference
    2010 International Conference on Digital Image Computing: Techniques and Applications (DICTA 2010)
    ISBN
    9780769542713
    School
    Department of Computing
    Remarks

    Copyright © 2010 IEEE This 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/20.500.11937/40350
    Collection
    • Curtin Research Publications
    Abstract

    This paper explores techniques for multiple views target tracking in a maritime environment using a mobile surveillance platform. We utilise an omnidirectional camera to capture full spherical video and use an Inertial Measurement Unit (IMU) to estimate the platform?s ego-motion. For each target a part of the omnidirectional video is extracted, forming a corresponding set of virtual cameras. Each target is then tracked using a dynamic template matching method and particle filtering. Its predictions are then used to continuously adjust the orientations of the virtual cameras, keeping a lock on the targets. We demonstrate the performance of the application in several real-world maritime settings.

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