Enhancing the recognition of medication intake using a stereo camera

In this paper, we propose a simple method for estimating the depth of objects with a stereo camera in a medication intake recognition context. A template for each detected object in the left image is matched against the right image, for calculating its horizontal disparity. Then the disparity is used for estimating the distance from camera, so that we can decide whether two objects in occlusion are in genuine contact or not. Experiments show that, the proposed approach is simple and efficient for detecting a true contact between objects in occlusion, a necessary step to further improve a video surveillance system for detection and recognition of medication intake.

[1]  Chris D. Nugent,et al.  Can technology improve compliance to medication , 2005 .

[2]  Mubarak Shah,et al.  A computer vision system for monitoring medication intake , 2005, The 2nd Canadian Conference on Computer and Robot Vision (CRV'05).

[3]  J. Meunier,et al.  Video Surveillance of Medication Intake , 2006, 2006 International Conference of the IEEE Engineering in Medicine and Biology Society.

[4]  Jean Meunier,et al.  Real Time Detection, Tracking and Recognition of Medication Intake , 2009 .

[5]  Emanuele Trucco,et al.  Introductory techniques for 3-D computer vision , 1998 .

[6]  Guillaume-Alexandre Bilodeau,et al.  Face and Hands Detection and Tracking Applied to the Monitoring of Medication Intake , 2008, 2008 Canadian Conference on Computer and Robot Vision.