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Conference Paper Gaze Detection Based on Head Pose Estimation in Smart TV
Cited 7 time in scopus Share share facebook twitter linkedin kakaostory
Authors
Dat Tien Nguyen, Kwang Yong Shin, Won Oh Lee, Yeong Gon Kim, Ki Wan Kim, Hyung Gil Hong, Kang Ryoung Park, CheonIn Oh, HanKyu Lee, Youngho Jeong
Issue Date
2013-10
Citation
International Conference on Information and Communication Technology Convergence (ICTC) 2013, pp.283-288
Publisher
IEEE
Language
English
Type
Conference Paper
DOI
https://dx.doi.org/10.1109/ICTC.2013.6675358
Abstract
In this paper, we propose a new gaze detection method based on head pose estimation in smart TV. First, the face, eyes and center of both nostrils positions are detected by using Adaboost method. After that, the proposed method uses the template matching method to find the position of the user's shoulder as well as the left and right boundaries of the face. Based on the positions of the detected shoulder and face's boundary, the horizontal and vertical head poses are estimated. Experimental results show that our method shows a good performance in user's gaze detection. © 2013 IEEE.
KSP Keywords
Adaboost method, Detection Method, Gaze detection, Head pose estimation, Template matching, matching method, smart TV