Real Time Pattern Recognition And Feature Analysis From Video Signals Applied To Eye Movement And Pupillary Reflex Monitoring
Jacques R. Charlier, Jean-Luc Bariseau, Vincent Chuffart, Frangoise Marsy, Jean-Claude Hache · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 1984
Original techniques for real time pattern recognition and feature analysis from standard video signals have been developed. These techniques have been applied to the monitoring of eye movements and pupillary size during visual field and electrophysio-logical examinations in routine ophtalmological practice. The basic features of the resulting instrument are : 1- the use of low-cost hardware, i.e. standard video equipment and LSI circuitry. 2- the measurement of eye, orientation from the position of the bright pupil relative to the corneal reflection. 3- "real time" processing and high data throughout of 50 samples per second, allowing pupillary and oculomotor reflex analysis. 4- specialized hardware and software permitting an adjustment free feature identifica-tion and analysis directly from video signals. Severe perturbations of the ocular video images can be handled by the system, including partial occlusions of the pupil with eye lids or eye lashes, fluctuations of amplitude levels and parasite light reflections.