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Gender classification received attention due to its use in many applications. In this paper, the potential of using the 3D shape of the ear for gender recognition is established. We demonstrate the first attempt for gender classification from 3D ear data and evaluate different algorithms using automatically detected and aligned ears. Experiments were conducted on the University of Notre Dame (UND)...
Steady increases in healthcare costs and obesity have inspired recent studies into cost-effective, assistive systems capable of monitoring dietary habits. Few researchers, though, have investigated the use of video as a means of monitoring dietary activities. Video possesses several inherent qualities, such as passive acquisition, that merits its analysis as an input modality for such an application...
We present a method that automatically detects chewing events in surveillance video of a subject. Firstly, an Active Appearance Model (AAM) is used to track a subject's face across the video sequence. It is observed that the variations in the AAM parameters across chewing events demonstrate a distinct periodicity. We utilize this property to discriminate between chewing and non-chewing facial actions...
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