کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
382954 660798 2015 9 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Eye-gaze estimation under various head positions and iris states
ترجمه فارسی عنوان
برآورد چشم انداز در موقعیت های مختلف سر و ایروبیک
کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
چکیده انگلیسی


• A new method for eye-gaze estimation under normal head movement is investigated.
• Head position and orientations are acquired by Kinect depth data and eye direction is obtained from high resolution images.
• Bayesian multinomial logistic regression is used to construct a gaze mapping function and to verify iris state.
• The features used for learning, vary with different head positions and orientations and eye directions.
• Whenever the user moves away from the camera, the gaze score will decrease.

This paper describes a method for eye-gaze estimation under normal head movement. In this method, head position and orientation are acquired by Kinect depth data and eye direction is obtained from high resolution images. We propose the Bayesian multinomial logistic regression based on a variational approximation to construct a gaze mapping function and to verify iris state. Our method eliminates limitation of head movements, eye closure and light source as common drawbacks in most conventional techniques. The efficiency of the proposed method is validated by performance evaluation for multiple people with different distances and poses to the camera under various eye states.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Expert Systems with Applications - Volume 42, Issue 1, January 2015, Pages 510–518
نویسندگان
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