Reports of the Technical Conference of the Institute of Image Electronics Engineers of Japan
Reports of the 286th Technical Conference of the Institute of Image Electronics Engineers of Japan
Session ID : 18-01-14
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Gaze Estimation based on Visual Attention Model
*Sho OoIMutsuo SANOHajime TABUCHIFumie SAITOSatoshi UMEDA
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Abstract

Gaze information about human is important to judge the attention function in the human. For example, gaze information during car driving and cooking are important. We suggested being able to evaluate attention function from activities of daily living. We acquire gaze information using an eye tracker. The eye tracker is able to estimate high accuracy, however, it is expensive and difficult to operate. In this paper, we discuss a method to estimate gaze without calibration. Specifically, we estimate gaze from visual attention model inhuman. The visual attention model is made from a bottom-up model and a top-down model. However, the brain in human has parts that react to face, body-parts and so. Therefore, we defined a category-specific attention, integrates previous model and category-specific attention, and estimate gaze information. As a result, we present that gaze is similar using the proposed model than the previous model.

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© 2018 by The Institute of Image Electronics Engineers of Japan
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