Driver's fatigue/distraction is one of the most common causes of traffic accidents. The aim of this paper is to develop a real time system to detect anomalous situations while driving. In a learning stage, the user will sit in front of the camera and the system will learn a person-specific facial appearance model (PSFAM) in an automatic manner. The PSFAM will be used to perform gaze detection and eye-activity recognition in a real time based on subspace constraints. Preliminary experiments measuring the PERCLOS index (average time that the eyes are closed) under a variety of conditions are reported.
|Title of host publication||IEEE International Conference on Image Processing|
|Number of pages||4|
|Publication status||Published - 14 Sept 2003|
|Event||Proceedings: 2003 International Conference on Image Processing, ICIP-2003 - Barcelona, Spain|
Duration: 14 Sept 2003 → 17 Sept 2003
|Conference||Proceedings: 2003 International Conference on Image Processing, ICIP-2003|
|Period||14/09/03 → 17/09/03|