Non-rigid eye movement tracking and eye state quantification

Masrullizam Mat Ibrahim; John Soraghan; Lykourgos Petropoulakis

Non-rigid eye movement tracking and eye state quantification

Masrullizam Mat Ibrahim, John Soraghan, Lykourgos Petropoulakis

Electronic And Electrical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Chapter (peer-reviewed)

4 Citations (Scopus)

Abstract

Tracking and quantifying the eye's state in real-time whilst also accounting for object size variation is crucial in computer vision systems for Human Computer Interaction (HCI) applications and fatigue detection techniques. This paper presents a novel approach to track and quantify the eye states using the Mean Shift tracking algorithm enhanced by an adaptive scale. The iris is used as a target model for Mean Shift tracking and the moment features are used to estimate the iris area in order to quantify the state of the eye. The proposed approach to tracking non-rigid eye movement and to providing eye state quantification is shown to produce very accurate results.

Original language	English
Title of host publication	2012 19th International Conference on Systems, Signals and Image Processing (IWSSIP)
Publisher	IEEE
Pages	280-283
Number of pages	4
ISBN (Print)	9781457721915
Publication status	Published - 11 Apr 2012

Keywords

fatigue detection techniques
eye movement tracking
eye state quantification
mean shift tracking
adaptive scale

Cite this

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title = "Non-rigid eye movement tracking and eye state quantification",

abstract = "Tracking and quantifying the eye's state in real-time whilst also accounting for object size variation is crucial in computer vision systems for Human Computer Interaction (HCI) applications and fatigue detection techniques. This paper presents a novel approach to track and quantify the eye states using the Mean Shift tracking algorithm enhanced by an adaptive scale. The iris is used as a target model for Mean Shift tracking and the moment features are used to estimate the iris area in order to quantify the state of the eye. The proposed approach to tracking non-rigid eye movement and to providing eye state quantification is shown to produce very accurate results.",

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author = "{Mat Ibrahim}, Masrullizam and John Soraghan and Lykourgos Petropoulakis",

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T1 - Non-rigid eye movement tracking and eye state quantification

AU - Mat Ibrahim, Masrullizam

AU - Soraghan, John

AU - Petropoulakis, Lykourgos

PY - 2012/4/11

Y1 - 2012/4/11

N2 - Tracking and quantifying the eye's state in real-time whilst also accounting for object size variation is crucial in computer vision systems for Human Computer Interaction (HCI) applications and fatigue detection techniques. This paper presents a novel approach to track and quantify the eye states using the Mean Shift tracking algorithm enhanced by an adaptive scale. The iris is used as a target model for Mean Shift tracking and the moment features are used to estimate the iris area in order to quantify the state of the eye. The proposed approach to tracking non-rigid eye movement and to providing eye state quantification is shown to produce very accurate results.

AB - Tracking and quantifying the eye's state in real-time whilst also accounting for object size variation is crucial in computer vision systems for Human Computer Interaction (HCI) applications and fatigue detection techniques. This paper presents a novel approach to track and quantify the eye states using the Mean Shift tracking algorithm enhanced by an adaptive scale. The iris is used as a target model for Mean Shift tracking and the moment features are used to estimate the iris area in order to quantify the state of the eye. The proposed approach to tracking non-rigid eye movement and to providing eye state quantification is shown to produce very accurate results.

KW - fatigue detection techniques

KW - eye movement tracking

KW - eye state quantification

KW - mean shift tracking

KW - adaptive scale

UR - http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6208128

M3 - Chapter (peer-reviewed)

SN - 9781457721915

SP - 280

EP - 283

BT - 2012 19th International Conference on Systems, Signals and Image Processing (IWSSIP)

PB - IEEE

ER -

Non-rigid eye movement tracking and eye state quantification

Abstract

Keywords

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