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Effective real-time identification using Bayesian statistical methods gaze Network
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 Title & Authors
Effective real-time identification using Bayesian statistical methods gaze Network
Kim, Sung-Hong; Seok, Gyeong-Hyu;
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 Abstract
In this paper, we propose a GRNN(: Generalized Regression Neural Network) algorithms for new eyes and face recognition identification system to solve the points that need corrective action in accordance with the existing problems of facial movements gaze upon it difficult to identify the user and. Using a Kalman filter structural information elements of a face feature to determine the authenticity of the face was estimated future location using the location information of the current head and the treatment time is relatively fast horizontal and vertical elements of the face using a histogram analysis the detected. And the light obtained by configuring the infrared illuminator pupil effects in real-time detection of the pupil, the pupil tracking was - to extract the text print vector.
 Keywords
Bayesian;Neural Networks;Kalman Filter;Real-Time;
 Language
Korean
 Cited by
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