Name
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. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/ICTC.2013.6675358 | ICTC |
Keywords | Field | DocType |
face recognition,image matching,iris recognition,learning (artificial intelligence),pose estimation,television,adaboost method,eyes detection,face detection,gaze detection,horizontal head pose estimation,nostrils position detection,smart tv,template matching method,vertical head pose estimation,head pose estimation,shoulder detection,template matching,learning artificial intelligence | Template matching,Facial recognition system,Computer vision,AdaBoost,Pattern recognition,Object-class detection,Gaze,Computer science,3D pose estimation,Pose,Artificial intelligence,Face detection | Conference |
Citations | PageRank | References |
1 | 0.38 | 5 |
Authors | ||
10 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Dat Tien Nguyen | 1 | 208 | 24.00 |
| Kwang Yong Shin | 2 | 71 | 6.11 |
| Won Oh Lee | 3 | 7 | 1.50 |
| Yeong Gon Kim | 4 | 11 | 1.93 |
| ki wan kim | 5 | 19 | 2.53 |
| hyung gil hong | 6 | 138 | 10.57 |
| Kang Ryoung Park | 7 | 1325 | 104.82 |
| CheonIn Oh | 8 | 1 | 0.72 |
| Hankyu Lee | 9 | 23 | 3.93 |
| Youngho Jeong | 10 | 23 | 5.94 |