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In this paper we consider how next generation of smart cameras will move beyond face detection and tracking to develop more useful analysis tools for determining the expressions and emotions of the subjects in images. An initial proof-of-concept using an extension of an Active Appearance Model (AAM) to measure facial parameters and a set of classifiers to determine facial states are described. Preliminary findings are encouraging and suggest that the use of the component-based AAM models and SVM classifiers will enable new applications and opportunities in smart cameras.
Date of Publication: May 2010