Pupil detection and tracking using multiple light sources

By Carlos Hitoshi Morimoto, David B. Koons, A. Amir, M. Flickner. Image and Vision Computing, 2000

468 citations recorded by the source corpus.

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Gaze locking: passive eye contact detection for human-object interaction (2013, background): “They extend Morimoto et al.’s PupilCam design [25] (which locates pupils by reﬂecting infrared light on them) by comparing the location of a corneal glint (i.e., the ﬁrst Purkinje image) with that of the pupil reﬂection.”
Real-Time Eye, Gaze, and Face Pose Tracking for Monitoring Driver Vigilance (2002, background): “[21] that can achieve the same bright pupil effect but with minimal reduction in camera operational view.”
Novel Eye Gaze Tracking Techniques Under Natural Head Movement (2007, methodology): “Several systems [24], [25], [18], [26] have been built based on the PCCR technique.”
Automatic detection of learner’s affect from conversational cues (2008, methodology): “A video of the participant’s face was captured using the IBM blue-eyes camera (Morimoto et al. 1998).”
Driver Fatigue Detection Systems: A Review (2019, methodology): “ASL has designed various tracking softwares for different applications such as psychology/cognition, human factors/ergonomics, education/training and marketing research.”