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Paper Abstract and Keywords
Presentation 2018-08-10 11:50
Gaze Estimation based on Visual Attention Model
Sho Oi (Ritsumeikan Univ.), Mutsuo Sano (OIT), Hajime Tabuchi, Fumie Saito, Satoshi Umeda (Keio Univ.)
Abstract (in Japanese) (See Japanese page) 
(in English) 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.
Keyword (in Japanese) (See Japanese page) 
(in English) Visual Attention Model / Bottom-Up Attention / Top-Down Attention / Specific-Category Attention / Gaze Estimation / / /  
Reference Info. ITE Tech. Rep., vol. 42, pp. 57-60, Aug. 2018.
Paper #  
Date of Issue 2018-08-02 (AIT) 
ISSN Print edition: ISSN 1342-6893    Online edition: ISSN 2424-1970
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Conference Information
Committee IIEEJ AIT  
Conference Date 2018-08-09 - 2018-08-10 
Place (in Japanese) (See Japanese page) 
Place (in English) Shinshu Univ. 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To IIEEJ 
Conference Code 2018-08-IIEEJ-AIT 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Gaze Estimation based on Visual Attention Model 
Sub Title (in English)  
Keyword(1) Visual Attention Model  
Keyword(2) Bottom-Up Attention  
Keyword(3) Top-Down Attention  
Keyword(4) Specific-Category Attention  
Keyword(5) Gaze Estimation  
1st Author's Name Sho Oi  
1st Author's Affiliation Ritsumeikan University (Ritsumeikan Univ.)
2nd Author's Name Mutsuo Sano  
2nd Author's Affiliation Osaka Institute of Technology (OIT)
3rd Author's Name Hajime Tabuchi  
3rd Author's Affiliation Keio University (Keio Univ.)
4th Author's Name Fumie Saito  
4th Author's Affiliation Keio University (Keio Univ.)
5th Author's Name Satoshi Umeda  
5th Author's Affiliation Keio University (Keio Univ.)
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Speaker Author-1 
Date Time 2018-08-10 11:50:00 
Presentation Time 25 minutes 
Registration for IIEEJ 
Paper # AIT2018-167 
Volume (vol) vol.42 
Number (no) no.26 
Page pp.57-60 
Date of Issue 2018-08-02 (AIT) 

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