2013/11/28 by Sergios Petridis, Petridis, Sergios, Θεόδωρος Γιαννακόπουλος +2
Computer Science · Engineering · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Gaze Tracking and Assistive Technology #I.4.8 #Image Processing Techniques and Applications #J.3 #Video Surveillance and Tracking Methods
paper · pdf · doi:10.48550/arxiv.1311.7327
openalex publication_date 2013/11/28 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
Unobtrusive every day health monitoring can be of important use for the elderly population. In particular, pupil size may be a valuable source of information, since, apart from pathological cases, it can reveal the emotional state, the fatigue and the ageing. To allow for unobtrusive monitoring to gain acceptance, one should seek for efficient methods of monitoring using com- mon low-cost hardware. This paper describes a method for monitoring pupil sizes using a common web camera in real time. Our method works by first detecting the face and the eyes area. Subsequently, optimal iris and sclera location and radius, modelled as ellipses, are found using efficient filtering. Finally, the pupil center and radius is estimated by optimal filtering within the area of the iris. Experimental result show both the efficiency and the effectiveness of our approach.