Title :
Monitoring head/eye motion for driver alertness with one camera
Author :
Smith, Paul ; Shah, Mubarak ; Lobo, N. Da Vitoria
Author_Institution :
Dept. of Comput. Sci., Central Florida Univ., Orlando, FL, USA
Abstract :
We describe a system for analyzing human driver alertness. It relies on optical flow and color predicates to robustly track a person´s head and facial features. Our system classifies rotation in all viewing directions, detects eye/mouth occlusion, detects eye blinking, and recovers the 3D gaze of the eyes. We show results and discuss how this system can be used for monitoring driver alertness
Keywords :
image colour analysis; image sequences; monitoring; motion estimation; 3D gaze recovery; color predicates; driver alertness; eye blinking; eye motion; facial features; head motion; occlusion; optical flow; rotation classification; Cameras; Colored noise; Computer science; Computerized monitoring; Eyes; Head; Image motion analysis; Motion pictures; Testing; Vehicles;
Conference_Titel :
Pattern Recognition, 2000. Proceedings. 15th International Conference on
Conference_Location :
Barcelona
Print_ISBN :
0-7695-0750-6
DOI :
10.1109/ICPR.2000.902999