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Description

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.Related publication:J. Nuevo, L.M. Bergasa, P. Jimenez.RSMAT: Robust simultaneous modeling and tracking.Pattern Recognition Letters. December 2010

Related Papers

• J. Nuevo, L.M. Bergasa, P. Jimenez. RSMAT: Robust simultaneous modeling and tracking. Pattern Recognition Letters. December 2010 [link]