@inproceedings{54203a99d727407fb05ab5290a838cf0,
title = "Gaze detection based on head pose estimation in smart TV",
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.",
keywords = "Gaze Detection, Head Pose Estimation, Shoulder Detection, Smart TV, Template Matching",
author = "Nguyen, {Dat Tien} and Shin, {Kwang Yong} and Lee, {Won Oh} and Kim, {Yeong Gon} and Kim, {Ki Wan} and Hong, {Hyung Gil} and Park, {Kang Ryoung} and Cheonin Oh and Hankyu Lee and Youngho Jeong",
year = "2013",
doi = "10.1109/ICTC.2013.6675358",
language = "English",
isbn = "9781479906987",
series = "International Conference on ICT Convergence",
publisher = "IEEE Computer Society",
pages = "283--288",
booktitle = "2013 International Conference on ICT Convergence",
address = "United States",
note = "2013 International Conference on Information and Communication Technology Convergence, ICTC 2013 ; Conference date: 14-10-2013 Through 16-10-2013",
}