Paper Info
Title
Spatial-frequency data acquisition using rotational invariant pattern matching in smart environments
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.
Year
DOI
Venue
2010
10.1007/s12243-010-0172-4
Annales des Télécommunications
Keywords
Field
DocType
human positioning.indoor tracking.pattern matching.smart environments,spatial frequency,cross correlation,pattern matching,smart environment,smart home,data capture,standard deviation,data acquisition
Cross-correlation,High fidelity,Electronic engineering,Artificial intelligence,Computer vision,Smart environment,Simulation,Data acquisition,Automatic identification and data capture,Standard deviation,Pattern matching,Mathematics,Spatial frequency
Journal
Volume
Issue
ISSN
65
9-10
1958-9395
Citations 
PageRank 
References 
0
0.34
25
Authors
4
Name
Order
Citations
PageRank
Michael P. Poland1323.51
Chris D. Nugent21150128.39
Hui Wang3456.35
Liming Chen42607201.71