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    Virtual observers in a mobile surveillance system

    Access Status
    Fulltext not available
    Authors
    Greenhill, Stewart
    Venkatesh, Svetha
    Date
    2006
    Type
    Conference Paper
    
    Metadata
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    Citation
    Greenhill, S. and Venkatesh, S. 2006. Virtual observers in a mobile surveillance system, in Nahrstedt, L. et al (ed), Proceedings of the 14th annual ACM international conference on Multimedia 2006, Oct 23-27 2006, pp. 579-588. Santa Barbara, USA: ACM Press.
    Source Title
    Proceedings of the 14th annual ACM international conference on Multimedia
    Source Conference
    14th annual ACM international conference on Multimedia 2006
    DOI
    10.1145/1180639.1180759
    ISBN
    1-59593-447-2
    School
    Department of Computing
    URI
    http://hdl.handle.net/20.500.11937/20334
    Collection
    • Curtin Research Publications
    Abstract

    Conventional wide-area video surveillance systems use a network of fixed cameras positioned close to locations of interest. We describe an alternative and flexible approach to wide area surveillance based on observation streams collected from mobile cameras mounted on buses. We allow a “virtual observer” to be placed anywhere within the space covered by the sensor network, and reconstruct the scene at these arbitrary points. Use of such imagery is challenging because mobile cameras have variable position and orientation, and sample a large spatial area but at low temporal resolution. Additionally, the views of any particular place are distributed across many different video streams. Addressing this problem, we present a system in which views from an arbitrary perspective can be constructed by indexing, organising, and transforming images collected from multiple streams acquired from a network of mobile cameras. Our system supports retrieval of raw images based on constraints of space, time, and geometry (eg. visibility of landmarks). It also allows the synthesis of wide-angle panoramic views in situations where the camera motion produces suitable sampling of the scene and metaphors for query and presentation that overcome the complexity of the data.

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