Real-time eye tracking using a smart camera

Mehrübeoğlu, Mehrübe; Pham, Linh Manh; Le, Hung Thieu; Muddu, Ramchander; Ryu, Dongseok

doi:10.1109/aipr.2011.6176373

Cited by 30 publications

(14 citation statements)

References 14 publications

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“…The full-duplex form allows communication in both directions, which results in faster transmission. The computer has a Pentium 4 2.26GHz processor, an on-board 64 MB graphics card and 1.25 GB RAM 15 . LabVIEW desktop interface is used to communicate with the smart camera.…”

Section: Hardware Setupmentioning

confidence: 99%

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Capturing reading patterns through a real-time smart camera iris tracking system

Mehrübeoğlu¹,

Ortlieb²,

McLauchlan³

et al. 2012

SPIE Proceedings

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International audienceA real-time iris detection and tracking algorithm has been implemented on a smart camera using LabVIEW graphical programming tools. The program detects the eye and finds the center of the iris, which is recorded and stored in Cartesian coordinates. In subsequent video frames, the location of the center of the iris corresponding to the previously detected eye is computed and recorded for a desired period of time, creating a list of coordinates representing the moving iris center location across image frames. We present an application for the developed smart camera iris tracking system that involves the assessment of reading patterns. The purpose of the study is to identify differences in reading patterns of readers at various levels to eventually determine successful reading strategies for improvement. The readers are positioned in front of a computer screen with a fixed camera directed at the reader's eyes. The readers are then asked to read preselected content on the computer screen, one comprising a traditional newspaper text and one a Web page. The iris path is captured and stored in real-time. The reading patterns are examined by analyzing the path of the iris movement. In this paper, the iris tracking system and algorithms, application of the system to real-time capture of reading patterns, and representation of 2D/3D iris track are presented with results and recommendations

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Section: Hardware Setupmentioning

confidence: 99%

“…The main component of the eye tracking system is a NI 1762 smart camera with a Computar 12 mm lens and the Gigabit Ethernet interface 14,15 . The smart camera has dual processors.…”

Section: Hardware Setupmentioning

confidence: 99%

Capturing reading patterns through a real-time smart camera iris tracking system

Mehrübeoğlu¹,

Ortlieb²,

McLauchlan³

et al. 2012

SPIE Proceedings

Self Cite

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show abstract

“…In preprocessing phase, we need to remodel color image into grayscale image, which applied in haar method as well [10]. So that, it need to transform from RGB image into grayscale image.…”

Section: Grayscaling Imagementioning

confidence: 99%

Image Processing for Rapidly Eye Detection based on Robust Haar Sliding Window

Utaminingrum¹,

Praetya²,

Sari³

2017

IJECE

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Object Detection using Haar Cascade Clasifier widely applied in several devices and applications as a medium of interaction between human and computer such as a tool control that utilizes the detection of eye movements. Obviously speed and precision in the detection process such as eyes, has an effect if implemented on a device. If the eye could not detect accurately, controlling device systems could reach bad detection as well. The proposed method can be used as an approach to detect the eye region of eye based on haar classifier method by means of modifying the direction of sliding window. In which, it was initially placed in the middle position of image on facial area by assuming the location of eyes area in the central region of the image. While the window region of conventional haar cascade scan the whole of image start from the left top corner. From the experiment by using our proposed method, it can speed up the the computation time and improve accuracy significantly reach to 92,4%.

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“…Most of the existing software indeed requires basic programming skills in languages such as Python, C/C++ and Matlab. Previous research has reported the development of an eye-detection system from a smart camera using a visual programming environment called LabView (Mehrubeoglu et al, 2011). However, the data analysis stage was not addressed and the code was not made public.…”

Section: Introductionmentioning

confidence: 99%

EALab (Eye Activity Lab): a MATLAB Toolbox for Variable Extraction, Multivariate Analysis and Classification of Eye-Movement Data

2015

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Recent advances in the reliability of the eye-tracking methodology as well as the increasing availability of affordable non-intrusive technology have opened the door to new research opportunities in a variety of areas and applications. This has raised an increasing interest within disciplines such as medicine, business and education for analysing human perceptual and psychological processes based on eye-tracking data. However, most of the currently available software requires programming skills and focuses on the analysis of a limited set of eyemovement measures (e.g. saccades and fixations), thus excluding other measures of interest to the classification of a determined state or condition. This paper describes 'EALab', a MATLAB analytics toolbox aimed at easing the extraction, multivariate analysis and classification stages of eye-activity data collected from commercial and independent eye trackers. The processing implemented in this toolbox enables to evaluate variables extracted from a wide range of measures including saccades, fixations, blinks, pupil diameter and glissades. Using EALab does not require any programming and the analysis can be performed through a user-friendly graphical user interface (GUI) consisting of three processing modules: 1) eye-activity measure extraction interface, 2) variable analysis and selection interface, and 3) classification interface.

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Real-time eye tracking using a smart camera

Cited by 30 publications

References 14 publications

Capturing reading patterns through a real-time smart camera iris tracking system

Capturing reading patterns through a real-time smart camera iris tracking system

Image Processing for Rapidly Eye Detection based on Robust Haar Sliding Window

EALab (Eye Activity Lab): a MATLAB Toolbox for Variable Extraction, Multivariate Analysis and Classification of Eye-Movement Data

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