A Study on Controlling IPTV Interface Based on Tracking of Face and Eye Positions 


Vol. 35,  No. 6, pp. 930-939, Jun.  2010


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  Abstract

Recently, many researches for making more comfortable input device based on gaze detection have been vigorously performed in human computer interaction. However, these previous researches are difficult to be used in IPTV environment because these methods need additional wearing devices or do not work at a distance. To overcome these problems, we propose a new way of controlling IPTV interface by using a detected face and eye positions in single static camera. And although face or eyes are not detected successfully by using Adaboost algorithm, we can control IPTV interface by using motion vectors calculated by pyramidal KLT (Kanade-Lucas-Tomasi) feature tracker. These are two novelties of our research compared to previous works.

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  Cite this article

[IEEE Style]

W. O. Lee, E. C. Lee, K. R. Park, H. Lee, M. Park, H. Lee, J. W. Hong, "A Study on Controlling IPTV Interface Based on Tracking of Face and Eye Positions," The Journal of Korean Institute of Communications and Information Sciences, vol. 35, no. 6, pp. 930-939, 2010. DOI: .

[ACM Style]

Won Oh Lee, Eui Chul Lee, Kang Ryoung Park, HeeKyung Lee, Minsik Park, Han-Kyu Lee, and Jin Woo Hong. 2010. A Study on Controlling IPTV Interface Based on Tracking of Face and Eye Positions. The Journal of Korean Institute of Communications and Information Sciences, 35, 6, (2010), 930-939. DOI: .

[KICS Style]

Won Oh Lee, Eui Chul Lee, Kang Ryoung Park, HeeKyung Lee, Minsik Park, Han-Kyu Lee, Jin Woo Hong, "A Study on Controlling IPTV Interface Based on Tracking of Face and Eye Positions," The Journal of Korean Institute of Communications and Information Sciences, vol. 35, no. 6, pp. 930-939, 6. 2010.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880