Eating activity detection from images acquired by a wearable camera

Authors:
Xin Sun;Hongxun Yao;Wenyan Jia;Mingui Sun
Affiliations:
Harbin Institute of Technology;Harbin Institute of Technology;University of Pittsburgh;University of Pittsburgh
Venue:
Proceedings of the 4th International SenseCam & Pervasive Imaging Conference
Year:
2013

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Abstract

We present an eating activity detection method via automatic detecting dining plates from images acquired chronically by a wearable camera. Convex edge segments and their combinations within each input image are modeled with respect to probabilities of belonging to candidate ellipses. Then, a dining plate is determined according to a confidence score. Finally, the presence/absence of an eating event in an image sequence is determined by analyzing successive frames. Our experimental results verified the effectiveness of this method.