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    Spatial-Frequency Data Acquisition using Rotational Invariant Pattern Matching in Smart Environments

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    Date
    2010-04-25
    Author
    Poland, M.P.;
    Nugent, Chris;
    Wang, H.;
    Chen, Liming
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    Abstract
    This article details the development and testing of an empirical data capture system with the ability to collect spatial-frequency statistics relating to the movement behaviour of a smart home inhabitant. This is achieved using a greyscale normalised cross-correlation pattern matching algorithm. Environmental obstructions on the floor space can also be inferred from a visual representation of the accumulated data. Whilst this methodology itself is not novel, its application to person tracking specifically within a smart home environment does not appear in the literature and is considered a novel approach. The results of tests performed on the pattern matching technique show a tracking competency rate of 94.45% with a standard deviation of 0.009027, indicating high fidelity across a wide variety of environmental factors.
    Description
    Citation : Poland, M.P., Nugent, C.D., Wang, H., Chen, L. (2010) Spatial-Frequency Data Acquisition using Rotational Invariant Pattern Matching in Smart Environments. Annals of Telecommunications, 65(9-10), pp.557-570.
    URI
    http://hdl.handle.net/2086/15398
    DOI
    https://doi.org/10.1007/s12243-010-0172-4
    ISSN : 0003-4347
    Research Group : CIIRG
    Research Institute : Cyber Technology Institute (CTI)
    Peer Reviewed : Yes
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    • School of Computer Science and Informatics [2970]

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