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http://dx.doi.org/10.3745/KIPSTB.2009.16-B.2.93

An Implementation of Gaze Direction Recognition System using Difference Image Entropy  

Lee, Kue-Bum (성균관대학교 정보통신공학부)
Chung, Dong-Keun (을지대학교 의료산업학부 의료전산학)
Hong, Kwang-Seok (성균관대학교 정보통신공학부)
Publication Information
The KIPS Transactions:PartB / v.16B, no.2, 2009 , pp. 93-100 More about this Journal
Abstract
In this paper, we propose a Difference Image Entropy based gaze direction recognition system. The Difference Image Entropy is computed by histogram levels using the acquired difference image of current image and reference images or average images that have peak positions from $-255{\sim}+255$ to prevent information omission. There are two methods about the Difference Image Entropy based gaze direction. 1) The first method is to compute the Difference Image Entropy between an input image and average images of 45 images in each location of gaze, and to recognize the directions of user's gaze. 2) The second method is to compute the Difference Image Entropy between an input image and each 45 reference images, and to recognize the directions of user's gaze. The reference image is created by average image of 45 images in each location of gaze after receiving images of 4 directions. In order to evaluate the performance of the proposed system, we conduct comparison experiment with PCA based gaze direction system. The directions of recognition left-top, right-top, left-bottom, right-bottom, and we make an experiment on that, as changing the part of recognition about 45 reference images or average image. The experimental result shows that the recognition rate of Difference Image Entropy is 97.00% and PCA is 95.50%, so the recognition rate of Difference Image Entropy based system is 1.50% higher than PCA based system.
Keywords
Difference Image Entropy; Gaze Direction Recognition; PCA;
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