Paper Abstract and Keywords |
Presentation |
2021-05-14 11:15
Proposal and Evaluation of an Object Estimation Method Inspired by Multimodal Information Processing in the Brain Ryoga Seki, Daichi Kominami, Hideyuki Shimonishi, Masayuki Murata (Osaka Univ.), Masaya Fujiwaka, Kosuke Nogami (NEC) CQ2021-14 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
In order to realize the digital twin, it is desired to instantly identify various objects in the real world through sensor devices, determine their locations, and represent them on the computer. However, the obtained information is affected by noise and traffic of sensor devices to some extent, and object estimation methods based on accurate information that have been considered in the past have their limitations. Therefore, there is a need to make a fast and accurate decision on what the object is based on uncertain observation information such as low-resolution video information. In this paper, we focus on the information processing mechanism of the brain, which makes decisions based on multiple types of uncertain observed information, and propose a method for estimating objects from noisy observed information by incorporating this mechanism. Through a computer simulation, we show that our proposal identifies an object accurately and quickly from uncertain observed information. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Digital twin / Bayesian Attractor Model / Bayesian Causal Inference / / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 121, no. 15, CQ2021-14, pp. 59-64, May 2021. |
Paper # |
CQ2021-14 |
Date of Issue |
2021-05-06 (CQ) |
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) |
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CQ2021-14 |
Conference Information |
Committee |
CS CQ |
Conference Date |
2021-05-13 - 2021-05-14 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
On-line |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
Optical/Wireless Access and Their Integration, Communication Behavior, QoE and Psychology, Assessment / Measurement / Control / Optimization of Communication Quality, Network Services, Wireless Networks, MIMO/Diversity/Multiplexing Techniques, etc. |
Paper Information |
Registration To |
CQ |
Conference Code |
2021-05-CS-CQ |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Proposal and Evaluation of an Object Estimation Method Inspired by Multimodal Information Processing in the Brain |
Sub Title (in English) |
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Keyword(1) |
Digital twin |
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Bayesian Attractor Model |
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Bayesian Causal Inference |
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1st Author's Name |
Ryoga Seki |
1st Author's Affiliation |
Osaka University (Osaka Univ.) |
2nd Author's Name |
Daichi Kominami |
2nd Author's Affiliation |
Osaka University (Osaka Univ.) |
3rd Author's Name |
Hideyuki Shimonishi |
3rd Author's Affiliation |
Osaka University (Osaka Univ.) |
4th Author's Name |
Masayuki Murata |
4th Author's Affiliation |
Osaka University (Osaka Univ.) |
5th Author's Name |
Masaya Fujiwaka |
5th Author's Affiliation |
NEC Corporation (NEC) |
6th Author's Name |
Kosuke Nogami |
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NEC Corporation (NEC) |
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Speaker |
Author-1 |
Date Time |
2021-05-14 11:15:00 |
Presentation Time |
25 minutes |
Registration for |
CQ |
Paper # |
CQ2021-14 |
Volume (vol) |
vol.121 |
Number (no) |
no.15 |
Page |
pp.59-64 |
#Pages |
6 |
Date of Issue |
2021-05-06 (CQ) |
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