Title:
Detecting and Tracking Eyes by Using their Physiological Properties, Dynamics and Appearance
Detecting and Tracking Eyes by Using their Physiological Properties, Dynamics and Appearance
| dc.contributor.author | Haro, Antonio | |
| dc.contributor.author | Flickner, Myron | |
| dc.contributor.author | Essa, Irfan | |
| dc.date.accessioned | 2004-10-19T19:37:35Z | |
| dc.date.available | 2004-10-19T19:37:35Z | |
| dc.date.issued | 1999 | |
| dc.description.abstract | Reliable detection and tracking of eyes is an important requirement for attentive user interfaces. In this paper, we present a methodology for detecting eyes robustly in indoor environments in real-time. We exploit the physiological properties and appearance of eyes as well as head/eye motion dynamics. Structured infrared lighting is used to capture the physiological properties of eyes, Kalman trackers are used to model eye/head dynamics, and a probabilistic based appearance model is used to represent eye appearance. By combining three separate modalities, with specific enhancements within each modality, our approach allows eyes to be treated as robust features that can be used for other higher-level processing. | en |
| dc.format.extent | 335619 bytes | |
| dc.format.mimetype | application/pdf | |
| dc.identifier.uri | http://hdl.handle.net/1853/3434 | |
| dc.language.iso | en_US | |
| dc.publisher | Georgia Institute of Technology | en |
| dc.relation.ispartofseries | GVU Technical Report;GIT-GVU-99-46 | |
| dc.subject | Active and Real-time Vision | en |
| dc.subject | Face detection and recognition | en |
| dc.subject | Feature extraction | en |
| dc.title | Detecting and Tracking Eyes by Using their Physiological Properties, Dynamics and Appearance | en |
| dc.type | Text | |
| dc.type.genre | Technical Report | |
| dspace.entity.type | Publication | |
| local.contributor.author | Essa, Irfan | |
| local.contributor.corporatename | GVU Center | |
| local.relation.ispartofseries | GVU Technical Report Series | |
| relation.isAuthorOfPublication | 84ae0044-6f5b-4733-8388-4f6427a0f817 | |
| relation.isOrgUnitOfPublication | d5666874-cf8d-45f6-8017-3781c955500f | |
| relation.isSeriesOfPublication | a13d1649-8f8b-4a59-9dec-d602fa26bc32 |