Wird geladen...
Smart Real-Time Video Surveillance Platform for Drowsiness Detection Based on Eyelid Closure
We propose drowsiness detection in real-time surveillance videos by determining if a person’s eyes are open or closed. As a first step, the face of the subject is detected in the image. In the detected face, the eyes are localized and filtered with an extended Sobel operator to detect the curvature...
Gespeichert in:
| Hauptverfasser: | , , , , , , , |
|---|---|
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Hindawi-Wiley
2019-01-01
|
| Schriftenreihe: | Wireless Communications and Mobile Computing |
| Online Zugang: | http://dx.doi.org/10.1155/2019/2036818 |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|