A Computer Vision System for Monitoring Medication Intake

  • Authors:

  • David Batz;Michael Batz;Niels da Vitoria Lobo;Mubarak Shah

  • Affiliations:

  • University of Central Florida;University of Central Florida;University of Central Florida;University of Central Florida

  • Venue:
  • CRV '05 Proceedings of the 2nd Canadian conference on Computer and Robot Vision
  • Year:
  • 2005

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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.