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Real Time Eye Gaze Estimation

机译:实时眼动估计

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摘要

In this paper we used a set of searching techniques that allow to gain information about eye movement, its location and point of view in real time. The algorithm determines the point on the monitor at which the user is looking at. To obtain such data it is necessary to determine the relative position of the eye and the head. The first step is the initialization during which a head model is created. After initialization, the tracking phase is started using an Active Appearance Models (AAM) and Pose from Orthography and Scaling with ITerations (POSIT) algorithm for head position estimation. The purpose of eye gaze estimation or eye tracking can be used for testing the effectiveness of the text, game, or advertising message. The aim of this work is to develop and implement a system for real time eye gaze estimation using PC's webcam only without any additional hardware.
机译:在本文中,我们使用了一组搜索技术,这些技术可以实时获取有关眼睛运动,其位置和视点的信息。该算法确定用户在监视器上要注视的点。为了获得这样的数据,必须确定眼睛和头部的相对位置。第一步是初始化,在此期间创建头部模型。初始化后,使用“主动外观模型”(AAM)和“正投影和带缩放比例缩放”(POSIT)算法的姿势来开始跟踪阶段,以进行头部位置估计。视线估计或眼动追踪的目的可用于测试文本,游戏或广告消息的有效性。这项工作的目的是仅使用PC的网络摄像头来开发和实现实时视线估计系统,而无需任何其他硬件。

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