Implementation of Features Dynamic Tracking Filter to Tracing Pupils

Abstract

The objective of this paper is to show the implementation of an artificial vision filter capable of tracking the pupils of a person in a video sequence. There are several algorithms that can achieve this objective, for this case, features dynamic tracking selected, which is a method that traces patterns between each frame that form a video scene, this type of processing offers the advantage of eliminating the problems of occlusion patterns of interest. The implementation was tested on a base of videos of people with different physical characteristics of the eyes. An additional goal is to obtain information of the eye movements that are captured and pupil coordinates for each of these movements. These data could help some studies related to eye health.