International Journal of Automation, Control and Intelligent Systems
Articles Information
International Journal of Automation, Control and Intelligent Systems, Vol.3, No.1, Jan. 2017, Pub. Date: Aug. 8, 2017
Unsupervised Eye Center Localization Approaches for Real Time Eye Gaze Tracking Applications
Pages: 1-4 Views: 503 Downloads: 369
[01] Amit Laddi, Biomedical Instrumentation Division, CSIR-Central Scientific Instruments Organisation, Chandigarh, India.
[02] Neelam Rup Prakash, Department of E&EC, PEC University of Technology, Chandigarh, India.
This work deals with exploration of the latest and the most effective unsupervised approaches for automatic eye center localization, which may be suitable for the real time eye gaze tracking applications. These approaches were based upon direct mathematical formulations and principles without needing any complex trained models. The experiment was performed over standard face image dataset, which showed varying accuracy and processing times for automatic detection of pupil location in each face image. The outcome of this study suggested the significance and efficiency of each unsupervised approach for eye center localization under unconstraint environments. The results may be useful for the development of fast and accurate real time eye gaze tracking applications for interactive usage.
Eye Center Localization, Eye Gaze Tracking, Unsupervised Approaches, Interactive
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