Spatial-frequency data acquisition using rotational invariant pattern matching in smart environments
作者： Michael P. Poland , Chris D. Nugent , Hui Wang , Liming Chen
DOI: 10.1007/S12243-010-0172-4
关键词:
摘要: This article details the development and testing of an empirical data capture system with ability to collect spatial-frequency statistics relating movement behaviour a smart home inhabitant. is achieved using greyscale normalised cross-correlation pattern matching algorithm. Environmental obstructions on floor space can also be inferred from visual representation accumulated data. Whilst this methodology itself not novel, its application person tracking specifically within environment does appear in literature considered novel approach. The results tests performed technique show competency rate 94.45% standard deviation 0.009027, indicating high fidelity across wide variety environmental factors.
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