Proceedings of the IEEK Conference (대한전자공학회:학술대회논문집)

The Institute of Electronics and Information Engineers (대한전자공학회)
권호 표지

Facial Feature Tracking and Head Orientation-based Gaze Tracking

  • Ko, Jong-Gook (Electronics and Telecommunications Research Institute(ETRI)) ;
  • Kim, Kyungnam (Department of Information and Communications KwangJu Institute of Science and Technology) ;
  • Park, Seung-Ho (Department of Information and Communications Dongshin University) ;
  • Kim, Jin-Young (Department of Electronics Chonnam University) ;
  • Kim, Ki-Jung (Department of Internet Information Technology Kwangyang College) ;
  • Kim, Jung-Nyo (Electronics and Telecommunications Research Institute(ETRI))
  • Published : 2000.07.01
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Abstract

In this paper, we propose a fast and practical head pose estimation scheme fur eye-head controlled human computer interface with non-constrained background. The method we propose uses complete graph matching from thresholded images and the two blocks showing the greatest similarity are selected as eyes, we also locate mouth and nostrils in turn using the eye location information and size information. The average computing time of the image(360*240) is within 0.2(sec) and we employ template matching method using angles between facial features for head pose estimation. It has been tested on several sequential facial images with different illuminating conditions and varied head poses, It returned quite a satisfactory performance in both speed and accuracy.

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