| 摘要 |
<P>PROBLEM TO BE SOLVED: To accurately and quickly recognize an expression category even if it changes in various speeds. <P>SOLUTION: An expression learning part 16 learns a quick identifier used for identifying, for each expression category, whether it is an expression category on the basis of referencing time-series data taken when a non-expression is changed to the expression category. An input part 10 obtains time-series data indicating the change from non-expression. A second dynamic temporal expansion/compression part 24 generates, for each expression category, respective piece of temporal expansion/compression time-series data produced by expanding/compressing the obtained time-series data in a temporal direction so that the change in data matches the referencing time-series data taken when a non-expression is changed to the expression category. A quick recognition part 26 recognizes the expression category of a person's face on the basis of temporal expansion/compression time-series data generated for each expression category and of a quick identifier for each expression category. <P>COPYRIGHT: (C)2013,JPO&INPIT |
