Literature DB >> 15369066

A novel approach to 3-D gaze tracking using stereo cameras.

Sheng-Wen Shih1, Jin Liu.   

Abstract

A novel approach to three-dimensional (3-D) gaze tracking using 3-D computer vision techniques is proposed in this paper. This method employs multiple cameras and multiple point light sources to estimate the optical axis of user's eye without using any user-dependent parameters. Thus, it renders the inconvenient system calibration process which may produce possible calibration errors unnecessary. A real-time 3-D gaze tracking system has been developed which can provide 30 gaze measurements per second. Moreover, a simple and accurate calibration method is proposed to calibrate the gaze tracking system. Before using the system, each user only has to stare at a target point for a few (2-3) seconds so that the constant angle between the 3-D line of sight and the optical axis can be estimated. The test results of six subjects showed that the gaze tracking system is very promising achieving an average estimation error of under 1 degrees.

Mesh:

Year:  2004        PMID: 15369066     DOI: 10.1109/tsmcb.2003.811128

Source DB:  PubMed          Journal:  IEEE Trans Syst Man Cybern B Cybern        ISSN: 1083-4419


  9 in total

1.  Optics of the human cornea influence the accuracy of stereo eye-tracking methods: a simulation study.

Authors:  A D Barsingerhorn; F N Boonstra; H H L M Goossens
Journal:  Biomed Opt Express       Date:  2017-01-09       Impact factor: 3.732

2.  A novel gaze tracking method based on the generation of virtual calibration points.

Authors:  Ji Woo Lee; Hwan Heo; Kang Ryoung Park
Journal:  Sensors (Basel)       Date:  2013-08-16       Impact factor: 3.576

3.  Compensation Method of Natural Head Movement for Gaze Tracking System Using an Ultrasonic Sensor for Distance Measurement.

Authors:  Dongwook Jung; Jong Man Lee; Su Yeong Gwon; Weiyuan Pan; Hyeon Chang Lee; Kang Ryoung Park; Hyun-Cheol Kim
Journal:  Sensors (Basel)       Date:  2016-01-16       Impact factor: 3.576

4.  Deep Learning-Based Gaze Detection System for Automobile Drivers Using a NIR Camera Sensor.

Authors:  Rizwan Ali Naqvi; Muhammad Arsalan; Ganbayar Batchuluun; Hyo Sik Yoon; Kang Ryoung Park
Journal:  Sensors (Basel)       Date:  2018-02-03       Impact factor: 3.576

Review 5.  When I Look into Your Eyes: A Survey on Computer Vision Contributions for Human Gaze Estimation and Tracking.

Authors:  Dario Cazzato; Marco Leo; Cosimo Distante; Holger Voos
Journal:  Sensors (Basel)       Date:  2020-07-03       Impact factor: 3.576

6.  Development and validation of a high-speed stereoscopic eyetracker.

Authors:  Annemiek D Barsingerhorn; F Nienke Boonstra; Jeroen Goossens
Journal:  Behav Res Methods       Date:  2018-12

7.  Probabilistic Approach to Robust Wearable Gaze Tracking.

Authors:  Miika Toivanen; Kristian Lukander; Kai Puolamäki
Journal:  J Eye Mov Res       Date:  2017-11-08       Impact factor: 0.957

Review 8.  Gaze and Eye Tracking: Techniques and Applications in ADAS.

Authors:  Muhammad Qasim Khan; Sukhan Lee
Journal:  Sensors (Basel)       Date:  2019-12-14       Impact factor: 3.576

9.  Remote gaze tracking system on a large display.

Authors:  Hyeon Chang Lee; Won Oh Lee; Chul Woo Cho; Su Yeong Gwon; Kang Ryoung Park; Heekyung Lee; Jihun Cha
Journal:  Sensors (Basel)       Date:  2013-10-07       Impact factor: 3.576

  9 in total

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