Driver Eye State Classification Based on Cooccurrence Matrix of Oriented Gradients
Accurate detection of driver's eye state by computer vision is critical to driver drowsiness monitoring. The histogram of oriented gradients (HOG) is commonly used as descriptive feature of eye image for state classification. However, HOG often suffers from the limit of local gradient informati...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
SAGE Publishing
2015-02-01
|
| Series: | Advances in Mechanical Engineering |
| Online Access: | https://doi.org/10.1155/2014/707106 |