Spatial-frequency data acquisition using rotational invariant pattern matching in smart environments

  • Michael P. Poland
  • Chris D. Nugent
  • Hui Wang
  • Liming Chen
Article
  • 79 Downloads

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.

Keywords

Human positioning Indoor tracking Pattern matching Smart environments 

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Copyright information

© Institut Télécom and Springer-Verlag 2010

Authors and Affiliations

  • Michael P. Poland
    • 1
  • Chris D. Nugent
    • 1
  • Hui Wang
    • 1
  • Liming Chen
    • 1
  1. 1.Computer Science Research Institute and School of Computing and Mathematics, Faculty of Computing and EngineeringUniversity of UlsterCounty AntrimUK

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