Depth Compensation Model for Gaze Estimation in Sport Analysis

Fabricio Batista Narcizo, Dan Witzner Hansen

Research output: Conference Article in Proceeding or Book/Report chapterArticle in proceedingsResearchpeer-review


A depth compensation model is presented as a novel approach to reduce the effects of parallax error for head-mounted eye trackers. The method can reduce the parallax error when the distance between the user and the target is prior known. The model is geometrically presented and its performance is tested in a totally controlled environment with aim to check the influences of eye tracker parameters and ocular biometric parameters on its behavior. We also present a gaze estimation method based on epipolar geometry for binocular eye tracking setups. The depth compensation model has shown very promising to the field of eye tracking. It can reduce 10 times less the influence of parallax error in multiple depth planes.
Original languageEnglish
Title of host publication2015 IEEE International Conference on Computer Vision Workshop (ICCVW)
Number of pages8
PublisherIEEE Professional Communication Society
Publication date17 Dec 2015
Publication statusPublished - 17 Dec 2015
EventIEEE International Workshop on Computer Vision in Sports - Santiago, Chile
Duration: 17 Dec 201517 Dec 2015
Conference number: 2nd


WorkshopIEEE International Workshop on Computer Vision in Sports


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