RobeSafe Driver Monitoring Video Dataset (RS-DMV)

The RS-DMV dataset is a set of video sequences of drivers, recorded with cameras installed over the dashboard. The dataset currently contains 10 video sequences. The drivers were fully awake, talked frequently and were asked to look regularly to rear-view mirrors and operate the car sound system. Sequences contain occlusions, illumination changes and other elements that are problematic to face tracking and driver monitoring systems using computer vision.

Frames are recorded in gray-scale, at 30 frames per second, and stored as RAW video. Frame size of outdoor videos is 960x480 pixels, and 1390x480 for indoor videos. Faces in the videos have been marked with 20 points.

The RS-DMV was created by the RobeSafe Research Group of the Dpt. of Electronics of the UAH.

Main characteristics:

• 10 sequences of drivers, recorded outdoor (7) and indoor (3)

• Cameras are placed on the dashboard

• Drivers perform typical actions: talking, moving, operating the audio system, etc.

• Video sequences are recorded in grayscale, in high-resolution and 30 fps.

• Faces have been marked with 20 points, in the same locations as in the BioID database.