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Title
Japanese: 
English:A statistical approach for person verification using human behavioral patterns 
Author
Japanese: Gomez Caballero Felipe, 篠崎 隆宏, 古井 貞熙, 篠田 浩一.  
English: Felipe Gomez-Caballero, Takahiro Shinozaki, Sadaoki Furui, Koichi Shinoda.  
Language English 
Journal/Book name
Japanese: 
English:EURASIP Journal on Image and Video Processing 2013 
Volume, Number, Page 2013:44        pp. 1-11
Published date Aug. 2013 
Publisher
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English: 
Conference name
Japanese: 
English: 
Conference site
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English: 
File
DOI https://doi.org/10.1186/1687-5281-2013-44
Abstract We propose a person verification method using behavioral patterns of human upper body motion. Behavioral patterns are represented by three-dimensional features obtained from a time-of-flight camera. We take a statistical approach to model the behavioral patterns using Gaussian mixture models (GMM) and support vector machines. We employ the maximum likelihood linear regression adaptation method to estimate GMM parameters with a limited amount of data. Experimental results show that it reduced by 28.6% the relative equal error rates from a system using the maximum likelihood estimation with 25 samples per subject. We also demonstrate that the proposed approach is robust against variations in body motion over time. Keywords: Person verification; Behavioral biometrics; GMM; SVM; Time-of-flight camera

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