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The 2nd Canadian Conference on Computer and Robot Vision (CRV'05)   pp. 362-369
A Computer Vision System for Monitoring Medication Intake

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DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CRV.2005.5
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Abstract
We propose a computer vision system to assist a human user in the monitoring of their medication habits. This task must be accomplished without the knowledge of any pill locations, as they are too small to track with a static camera, and are usually occluded. At the core of this process is a mixture of low-level, high-level, and heuristic techniques such as skin segmentation, face detection, template matching, and a novel approach to hand localization and occlusion handling. We discuss the approach taken towards this goal, along with the results of our testing phase.
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Citation:  David Batz, Michael Batz, Niels da Vitoria Lobo, Mubarak Shah, "A Computer Vision System for Monitoring Medication Intake," crv, pp. 362-369,  The 2nd Canadian Conference on Computer and Robot Vision (CRV'05),  2005

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