Statistical models of appearance for eye tracking and eye-blink detection and measurement
| Autor: | Peter Corcoran, Ioana Bacivarov, Mircea Ionita |
|---|---|
| Přispěvatelé: | ~ |
| Rok vydání: | 2008 |
| Předmět: |
Eye tracking
genetic structures business.industry Computer science Feature extraction ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Digital imaging Statistical model Eye blinking Gaze Active appearance model Object detection Digital image Eye tracking research InformationSystems_MODELSANDPRINCIPLES Robustness (computer science) Media Technology Computer vision Artificial intelligence Electrical and Electronic Engineering business |
| Zdroj: | IEEE Transactions on Consumer Electronics. 54:1312-1320 |
| ISSN: | 0098-3063 |
| DOI: | 10.1109/tce.2008.4637622 |
| Popis: | A statistical Active Appearance Model (AAM) is developed to track and detect eye blinking. The model has been designed to be robust to variations of head pose or gaze. In particular we analyze and determine the model parameters which encode the variations caused by blinking. This global model is further extended using a series of sub-models to enable independent modeling and tracking of the two eye regions. Several methods to enable measurement and detection of eye-blink are proposed and evaluated. The results of various test on different image databases are presented to of various tests on different each model(1). peer-reviewed |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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