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Gaze Detection Based on Head Pose Estimation in Smart TV
- Authors
- Dat Tien Nguyen; Shin, Kwang Yong; Lee, Won Oh; Kim, Yeong Gon; Kim, Ki Wan; Hong, Hyung Gil; Park, Kang Ryoung; Oh, CheonIn; Lee, HanKyu; Jeong, Youngho
- Issue Date
- 2013
- Publisher
- IEEE
- Keywords
- Smart TV; Gaze Detection; Head Pose Estimation; Template Matching; Shoulder Detection
- Citation
- 2013 INTERNATIONAL CONFERENCE ON ICT CONVERGENCE (ICTC 2013): FUTURE CREATIVE CONVERGENCE TECHNOLOGIES FOR NEW ICT ECOSYSTEMS, pp 283 - 288
- Pages
- 6
- Indexed
- SCOPUS
- Start Page
- 283
- End Page
- 288
- ISSN
- 2162-1233
- 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.
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Related Researcher
- Park, Gang Ryung
- College of Engineering (Department of Electronics and Electrical Engineering)