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Personal recognition rate improvement using head-top image and an application to walking subject.

Personal recognition rate improvement using head-top image and an application to walking subject. Research Abstract Details 

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  • Personal recognition rate improvement using head-top image and an application to walking subject. Abstract Text:

    k nakajimaK Nakajima,a kamiyaA Kamiya,k sasakiK Sasaki,

    A personal identification method using head-top image is improved for the smart house. The personal recognition rate was 86.4 percent in the previous report from eleven subjects who stood still. It was improved to 100 percent in this study by using the same image database of the previous report. Moreover, head-top image sequences were acquired when the subjects under the thermo camera started walking, and the personal recognition rate was 52 percent from six subjects.

    Personal recognition rate improvement using head-top image and an application to walking subject. Publishing Authors By Initials

    k nakajimaK Nakajima,a kamiyaA Kamiya,k sasakiK Sasaki,

    For similar abstracts research abstracts see: abstracts research

    PUBMED ID PMID:

    MEDLINE DATE:

    Personal recognition rate improvement using head-top image and an application to walking subject. Journal Published:

    PUBLICATION TYPE: Journal Article

    Journal: Conference proceedings : ... Annual International

    VOLUME: 4

    Page Numbers: 3753-5

    Journal Abbreviation:

    ISSN: 1557-170X

    DAY: 6

    MONTH: 02

    YEAR: 2005

    Personal recognition rate improvement using head-top image and an application to walking subject. Information

    Number of References:

    LANGUAGE: eng

    NlmUniqueID: 101243413

    Personal recognition rate improvement using head-top image and an application to walking subject. Keywords Mesh Terms:

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    Grant and Affiliation Information for Personal recognition rate improvement using head-top image and an application to walking subject.

    AFFILIATION: Division of Bio-Information Engineering, Faculty of Engineering, Toyama University, 3190 Gofuku, Toyama 930-8555, Japan. E-mail: kazukin@eng.toyama-u.ac.jp.

    Country: United States

    United States Research PublicationUnited States Research Publication

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    MEDLINETA: Conf Proc IEEE Eng Med Biol So

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