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Paper Abstract and Keywords
Presentation 2022-10-06 13:20
Estimation of out-of-view attention region
Koki Hara, AtsuShi Nakazawa (Kyoto Univ) MVE2022-18
Abstract (in Japanese) (See Japanese page) 
(in English) Gazing behavior is one of the most important elements of human attention to the outward things.
The study of saliency estimation using machine learning is to estimate the location of attention in a given image or video.
On the other hand, in daily life, people's attention is not necessarily limited to the field of view, but may shift to the surrounding areas depending on the situation.
If such function can be realized by machine learning, etc., it will be possible to predict important information located outside of the input video.
To realize this function, we studied an algorithm for estimating the gaze area of an entire egocentric video image from only the central part of the image.
We implemented the algorithm for estimating the gaze area including outside of the image from the DR(eye)VE video + gaze point dataset, using only the central part video as input.
We implemented two networks using only RGB images and using both RGB images and optical flow as input, and compared them with a conventional method (SP Module).
The results show that the proposed method with only RGB images as input has the best results with an average accuracy of 0.957 ($F$-1 = 0.846).
This confirms that the proposed method can predict gaze behavior including outside of the image from the image features of the central area only.
Keyword (in Japanese) (See Japanese page) 
(in English) gaze estimation / egocentric video / active vision / / / / /  
Reference Info. IEICE Tech. Rep., vol. 122, no. 200, MVE2022-18, pp. 1-6, Oct. 2022.
Paper # MVE2022-18 
Date of Issue 2022-09-29 (MVE) 
ISSN Online edition: ISSN 2432-6380
Copyright
and
reproduction		 All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
Download PDF MVE2022-18

Conference Information
Committee MVE VRSJ-SIG-MR IPSJ-EC HI-SIG-DeMO VRSJ-SIG-CS  
Conference Date 2022-10-06 - 2022-10-07 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
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Paper Information
Registration To MVE 
Conference Code 2022-10-MVE-SIG-MR-EC-SIG-DeMO-SIG-CS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Estimation of out-of-view attention region 
Sub Title (in English)  
Keyword(1) gaze estimation  
Keyword(2) egocentric video  
Keyword(3) active vision  
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1st Author's Name Koki Hara  
1st Author's Affiliation Kyoto Unversity (Kyoto Univ)
2nd Author's Name AtsuShi Nakazawa  
2nd Author's Affiliation Kyoto Unversity (Kyoto Univ)
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Speaker Author-1 
Date Time 2022-10-06 13:20:00 
Presentation Time 20 minutes 
Registration for MVE 
Paper # MVE2022-18 
Volume (vol) vol.122 
Number (no) no.200 
Page pp.1-6 
#Pages 6 
Date of Issue 2022-09-29 (MVE) 

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