Title :
Enhancing the recognition of medication intake using a stereo camera
Author :
Huynh, Huu-Hung ; Sequeira, Jean ; Daniel, Marc ; Meunier, Jean
Author_Institution :
Dept. of Comput. Sci., Univ. of Mediterranean, Marseille, France
Abstract :
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.
Keywords :
hidden feature removal; object detection; stereo image processing; video cameras; video surveillance; horizontal disparity; medication intake recognition; object depth estimation; object detection; occlusion; stereo camera; video surveillance; Activity recognition; medication intake; occlusion handling; stereo camera; video surveillance;
Conference_Titel :
Communications and Electronics (ICCE), 2010 Third International Conference on
Conference_Location :
Nha Trang
Print_ISBN :
978-1-4244-7055-6
DOI :
10.1109/ICCE.2010.5670705