Identification of people using video and audio eigen features
First Claim
1. A method of performing person recognition comprising the steps of:
- obtaining data of a first eigenvector of a person;
obtaining data of a second eigenvector of the person;
concatenating the data of the first eigenvector with the data of the second eigenvector to obtain a composite eigenvector; and
performing person recognition using the obtained composite eigenvector.
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Abstract
A method and system for concatenating eigenvoice vector data with eigenface vector data to obtain a new basic eigenvector to more positively and accurately identify a person. More specifically, for a specific person, the data of an eigenface vector is concatenated with the data of an eigenvoice vector to form a single vector, and this single vector is compared to reference vectors also obtained by concatenting the data of eigenface vectors and eigenvoice vectors to obtain a single vector of each persons in a defined group of people to determine if a person that is a member of a defined group of people. Using this single eiginvector gives a higher success rate for identifying a person than an eigenface vector or an eigenvoice vector used separately or together as separate vectors.
35 Citations
19 Claims
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1. A method of performing person recognition comprising the steps of:
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obtaining data of a first eigenvector of a person;
obtaining data of a second eigenvector of the person;
concatenating the data of the first eigenvector with the data of the second eigenvector to obtain a composite eigenvector; and
performing person recognition using the obtained composite eigenvector. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13)
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14. A method of performing person recognition comprising the steps of:
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processing a video signal of at least one person of a select group of people to obtain data of a first eigenvector;
processing an audio signal of the at least one person of the select group of people to obtain data of a second eigenvector;
concatenating the data of the first eigenvector with the data of the second eigenvector to obtain a composite eigenvector; and
using the composite eigenvector to make a recognition decision about a person. - View Dependent Claims (15, 16)
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17. An apparatus for determining person recognition comprising:
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processor operable to process data of a first eigenvector of a person to be recognized and data of a second eigenvector of that person to obtain a composite eigenvector; and
means to compare the composite eigenvector with an eigenvector obtained from eigenvectors of a person of a select group of people to determine a level of correlation between the two. - View Dependent Claims (18, 19)
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Specification