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Joint Eye Tracking and Head Pose Estimation for Gaze Estimation
| Content Provider | Semantic Scholar |
|---|---|
| Author | Bansal, Ankan Mohammad, Salman Mukerjee, Amitabha Valenti, Roberto Sebe, Nicu Gevers, Theo Xiao, Jing Kanade, Takeo Cohn, Jeffrey F. Yücel, Zeynep Jang, Junsu |
| Copyright Year | 2013 |
| Abstract | Head pose estimation, eye location and gaze estimation from images is an important field of research. They have many applications in commercial, entertainment and strategic sectors. Their uses vary from Human-Computer interaction (e.g. games, pointer control and other vision bases applications) to advertisement research. Driver attention analysis, human behaviour information and control for disabled people are some of the uses of gaze estimation. Some people have used several kinds of restricting hardwares for the purpose of head pose and eye location estimation. So there was a need to develop single static camera based algorithms for this purpose. Head pose and eye location have been separately used for estimation of visual gaze. But these are prone to certain errors and inaccuracies. A combined model of both head pose and eye location estimates can give better results than both. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | https://www.cse.iitk.ac.in/users/cs365/2013/submissions/~ankan/cs365/project/poster.pdf |
| Alternate Webpage(s) | https://www.cse.iitk.ac.in/users/cs365/2013/submissions/~ankan/cs365/project/report.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
